pax_global_header00006660000000000000000000000064141435055110014511gustar00rootroot0000000000000052 comment=53616fa935e28777f8f180308cda93238388ed23 pgrouting-3.3.0/000077500000000000000000000000001414350551100135325ustar00rootroot00000000000000pgrouting-3.3.0/.editorconfig000066400000000000000000000015561414350551100162160ustar00rootroot00000000000000# http://editorconfig.org # top-most EditorConfig file root = true # Defaults if not specified later [*] indent_size = 4 indent_style = space charset = utf-8 end_of_line = lf insert_final_newline = true trim_trailing_whitespace = true # C++ files want tab indentation [*.{c,h,cpp,hpp,inl}] indent_style = space indent_size = 4 # Makefiles want tab indentation [Makefile] indent_style = tab indent_size = 8 # SQL files want space indentation [*.sql] indent_style = space indent_size = 2 # YML files want space indentation [*.yml] indent_size = 2 indent_style = space [.github/workflow/*.yml] indent_style = space indent_size = 2 end_of_line = lf charset = utf-8 trim_trailing_whitespace = true insert_final_newline = true # CMake configuration files [CMakeLists.txt,*.cmake] indent_style = space indent_size = 4 # RST files [*.rst] indent_size = 3 indent_style = space pgrouting-3.3.0/.github/000077500000000000000000000000001414350551100150725ustar00rootroot00000000000000pgrouting-3.3.0/.github/workflows/000077500000000000000000000000001414350551100171275ustar00rootroot00000000000000pgrouting-3.3.0/.github/workflows/boost_version.yml000066400000000000000000000066411414350551100225540ustar00rootroot00000000000000name: Boost supported versions # This action runs: # - When this file changes # - When changes on code (src, include) # - When changes on data or testing scripts (tools/testers) # - When the way the build changes (CMakeLists.txt) # # Test is done on: # - the preinstalled postgres version # - postgis 3 # # The boost version tested are when changes that affect pgRouting on # - boost::graph # - boost::geometry # See https://www.boost.org/users/history/ # Currently # - boost::geometry has not changed anything we use # - boost::graph changed on 1.68 and 1.75 requires C++14 # - 1.56 is the minimum version we ask on: push: paths: - '.github/workflows/boost_version.yml' - 'src/**' - 'include/**' - 'pgtap/**' - 'tools/testers/**' - 'CMakeLists.txt' branches-ignore: - 'gh-pages' tags: [] pull_request: paths: - '.github/workflows/boost_version.yml' - 'src/**' - 'include/**' - 'pgtap/**' - 'tools/testers/**' - 'CMakeLists.txt' branches-ignore: - 'gh-pages' jobs: build: name: Ubuntu Boost runs-on: ubuntu-latest strategy: fail-fast: false matrix: boost_minor: [56, 68, 75] steps: - uses: actions/checkout@v2 - name: Get postgres version run: | sudo service postgresql start pgver=$(psql --version | grep -Po '(?<=psql \(PostgreSQL\) )[^;]+(?=\.\d \()') echo "PGVER=${pgver}" >> $GITHUB_ENV echo "PGIS=3" >> $GITHUB_ENV - name: Add PostgreSQL APT repository run: | sudo apt-get install curl ca-certificates gnupg curl https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add - sudo sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt/ \ $(lsb_release -cs)-pgdg main" > /etc/apt/sources.list.d/pgdg.list' - name: Install python uses: actions/setup-python@v2 with: python-version: '3.x' - name: Install dependencies run: | sudo apt-get update sudo apt-get install -y \ libtap-parser-sourcehandler-pgtap-perl \ postgresql-${PGVER} \ postgresql-${PGVER}-pgtap \ postgresql-${PGVER}-postgis-${PGIS} \ postgresql-${PGVER}-postgis-${PGIS}-scripts \ postgresql-server-dev-${PGVER} python -m pip install --upgrade pip pip install -r requirements.txt wget https://sourceforge.net/projects/boost/files/boost/1.${{ matrix.boost_minor }}.0/boost_1_${{ matrix.boost_minor }}_0.tar.bz2 #wget https://dl.bintray.com/boostorg/release/1.${{ matrix.boost_minor }}.0/source/boost_1_${{ matrix.boost_minor }}_0.tar.bz2 sudo tar --bzip2 -xf boost_1_${{ matrix.boost_minor }}_0.tar.bz2 sudo mv boost_1_${{ matrix.boost_minor }}_0/boost /usr/include/ - name: Configure run: | export PATH=/usr/lib/postgresql/${PGVER}/bin:$PATH mkdir build cd build cmake -DPOSTGRESQL_VERSION=${PGVER} -DCMAKE_BUILD_TYPE=Debug -DWITH_DOC=OFF .. - name: Build run: | cd build make -j 4 sudo make install - name: Test run: | sudo service postgresql start sudo -u postgres createdb -p 5432 ___pgr___test___ sudo -u postgres bash ./tools/testers/pg_prove_tests.sh postgres 5432 Release pgrouting-3.3.0/.github/workflows/check-files.yml000066400000000000000000000035651414350551100220400ustar00rootroot00000000000000name: Check files # Makes a general check on the files # Verifies: # - the signatures are up-to-date # - the release_notes and NEWS are consitent # - the C/C++ files have a license # - the shell scripts are ok # - the code style is ok # Does not makes a compilation on: [push, pull_request] jobs: Signature_check: runs-on: ubuntu-latest steps: - name: Checkout repository uses: actions/checkout@v2 - name: Signatures are not removed run: | tools/scripts/test_signatures.sh News_check: runs-on: ubuntu-latest steps: - name: Checkout uses: actions/checkout@v2 - name: News file up to date run: | tools/release-scripts/notes2news.pl if git status | grep 'NEWS'; then echo "NEWS is not up to date"; exit 1; fi if ! grep -q $(grep -Po '(?<=project\(PGROUTING VERSION )[^;]+' CMakeLists.txt) NEWS; then echo "Missing section in NEWS"; exit 1; fi License_check: runs-on: ubuntu-latest steps: - name: Checkout uses: actions/checkout@v2 - name: Install Requirements run: | sudo apt install -y licensecheck - name: Run License Check run: ./tools/scripts/test_license.sh Shell_check: runs-on: ubuntu-latest steps: - name: Checkout uses: actions/checkout@v2 - name: Install Requirements run: | sudo apt install -y shellcheck - name: Run Shell Check run: ./tools/scripts/test_shell.sh style-check: runs-on: ubuntu-latest steps: - name: Checkout uses: actions/checkout@v2 - name: Install Requirements uses: actions/checkout@v2 with: repository: 'google/styleguide' ref: "gh-pages" path: "code_linter/styleguide" - name: Run linter run: | bash ./tools/scripts/code_checker.sh pgrouting-3.3.0/.github/workflows/check-queries.yml000066400000000000000000000062131414350551100224040ustar00rootroot00000000000000name: Check queries # This action runs: # - When this file changes # - When changes on code (src, include, sql) # - When changes on data or testing scripts (tools/testers) # - When the way the build changes (CMakeLists.txt) # # using # - the installed version on actions # - the latest postgis version on: push: paths: - '.github/workflows/check-queries.yml' - 'src/**' - 'include/**' - 'sql/**' - 'docqueries/**' - 'tools/testers/**' - 'CMakeLists.txt' branches-ignore: - 'gh-pages' tags: [] pull_request: paths: - '.github/workflows/check-queries.yml' - 'src/**' - 'include/**' - 'sql/**' - 'docqueries/**' - 'tools/testers/**' - 'CMakeLists.txt' branches-ignore: - 'gh-pages' jobs: build: name: Check queries runs-on: ubuntu-latest strategy: fail-fast: false steps: - uses: actions/checkout@v2 - name: get postgres version run: | sudo service postgresql start PGVER=$(psql --version | grep -Po '(?<=psql \(PostgreSQL\) )[^;]+(?=\.\d \()') echo "PGVER=${PGVER}" >> $GITHUB_ENV echo "PGPORT=5432" >> $GITHUB_ENV echo "PGIS=3" >> $GITHUB_ENV - name: Add PostgreSQL APT repository run: | sudo apt-get install curl ca-certificates gnupg curl https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add - sudo sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt/ \ $(lsb_release -cs)-pgdg main" > /etc/apt/sources.list.d/pgdg.list' - name: Install dependencies run: | sudo apt-get update sudo apt-get install -y \ libboost-graph-dev \ libtap-parser-sourcehandler-pgtap-perl \ postgresql-${PGVER} \ postgresql-${PGVER}-pgtap \ postgresql-${PGVER}-postgis-${PGIS} \ postgresql-${PGVER}-postgis-${PGIS}-scripts \ postgresql-server-dev-${PGVER} - name: Configure run: | export PATH=/usr/lib/postgresql/${PGVER}/bin:$PATH mkdir build cd build cmake -DPOSTGRESQL_VERSION=${PGVER} -DCMAKE_BUILD_TYPE=Debug .. - name: Build run: | cd build make -j 4 sudo make install - name: Test signature is up to date run: | sudo service postgresql start sudo -u postgres createdb -p ${PGPORT} ____sigs_routing____ sudo -u postgres psql -p ${PGPORT} -c "CREATE ROLE runner SUPERUSER CREATEDB CREATEROLE INHERIT LOGIN" -d ____sigs_routing____ tools/release-scripts/get_signatures.sh -p ${PGPORT} git diff --exit-code --quiet sql/sigs/*.sig - name: Test documentation queries are up to date run: | sudo -u postgres createdb -p ${PGPORT} pgr_test__db__test TESTDIRS="version" for d in ${TESTDIRS} do ./tools/testers/doc_queries_generator.pl -pgver "${PGVER}" -pguser runner -documentation -alg "${d}" done ./tools/testers/doc_queries_generator.pl -pgver "${PGVER}" pgrouting-3.3.0/.github/workflows/clang.yml000066400000000000000000000051221414350551100207360ustar00rootroot00000000000000name: Build for Ubuntu with clang # This action runs: # - When this file changes # - When changes on code (src, include) # - When changes on data or testing scripts (tools/testers) # - When the way the build changes (CMakeLists.txt) # # Test is done on: # - the preinstalled postgres version # - postgis 3 on: push: paths: - '.github/workflows/clang.yml' - 'src/**' - 'include/**' - 'pgtap/**' - 'tools/testers/**' - 'CMakeLists.txt' branches-ignore: - 'gh-pages' tags: [] pull_request: paths: - '.github/workflows/clang.yml' - 'src/**' - 'include/**' - 'pgtap/**' - 'tools/testers/**' - 'CMakeLists.txt' branches-ignore: - 'gh-pages' jobs: Test_clang: name: Ubuntu clang runs-on: ubuntu-latest strategy: fail-fast: false steps: - uses: actions/checkout@v2 - name: Get postgres version run: | sudo service postgresql start pgver=$(psql --version | grep -Po '(?<=psql \(PostgreSQL\) )[^;]+(?=\.\d \()') echo "PGVER=${pgver}" >> $GITHUB_ENV echo "PGIS=3" >> $GITHUB_ENV echo "PGPORT=5432" >> $GITHUB_ENV - name: Add PostgreSQL APT repository run: | sudo apt-get install curl ca-certificates gnupg curl https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add - sudo sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt/ \ $(lsb_release -cs)-pgdg main" > /etc/apt/sources.list.d/pgdg.list' - name: Install dependencies run: | sudo apt-get update sudo apt-get install -y \ clang \ libboost-graph-dev \ libtap-parser-sourcehandler-pgtap-perl \ postgresql-${PGVER} \ postgresql-${PGVER}-pgtap \ postgresql-${PGVER}-postgis-${PGIS} \ postgresql-${PGVER}-postgis-${PGIS}-scripts \ postgresql-server-dev-${PGVER} - name: Configure run: | export PATH=/usr/lib/postgresql/${PGVER}/bin:$PATH mkdir build cd build CXX=clang++ CC=clang cmake -DPOSTGRESQL_VERSION=${PGVER} -DCMAKE_BUILD_TYPE=Debug -DWITH_DOC=OFF .. - name: Build run: | cd build make -j 4 sudo make install - name: Test run: | echo "test pending" sudo service postgresql start sudo -u postgres createdb -p ${PGPORT} ___pgr___test___ sudo -u postgres bash ./tools/testers/pg_prove_tests.sh postgres ${PGPORT} Debug pgrouting-3.3.0/.github/workflows/doc-check.yml000066400000000000000000000100021414350551100214630ustar00rootroot00000000000000name: Check Documentation # This action runs: # - When this file changes # - When changes on documentation (doc) # - When changes on translation (locale) # - When the way the documentation build changes (CMakeLists.txt, doc/CMakeLists.txt, doc/conf.py.in) # # documentation is tested only on: # - ubuntu-latest # - default postgres installed on ubuntu-latest # - postgis 3 # # Currently more than 50% translated # - es on: push: paths: - '.github/workflows/doc-check.yml' - 'doc/**' - 'locale/**' - 'CMakeLists.txt' branches-ignore: - 'gh-pages' tags: [] pull_request: paths: - '.github/workflows/doc-check.yml' - 'doc/**' - 'locale/**' - 'CMakeLists.txt' branches-ignore: - 'gh-pages' jobs: build: name: documentation runs-on: ubuntu-latest strategy: fail-fast: false matrix: language: [en,es] steps: - uses: actions/checkout@v2 with: fetch-depth: 2 - name: check modified files id: check_files run: | # allways processing english, no matter what the change was if [[ "${{ matrix.language }}" == "en" ]]; then echo "PROCESS=true" >> $GITHUB_ENV; exit 0; fi # when this file changes all languages are tested if git diff --name-only HEAD^ HEAD | grep -q '.github/workflows/doc-check.yml' ; then echo "PROCESS=true" >> $GITHUB_ENV; exit 0; fi # when there is a change on the way the build is done all languages are tested if git diff --name-only HEAD^ HEAD | grep -q '^CMakeLists.txt' ; then echo "PROCESS=true" >> $GITHUB_ENV; exit 0; fi if git diff --name-only HEAD^ HEAD | grep -q '^doc/CMakeLists.txt' ; then echo "PROCESS=true" >> $GITHUB_ENV; exit 0; fi if git diff --name-only HEAD^ HEAD | grep -q '^doc/conf.py.in' ; then echo "PROCESS=true" >> $GITHUB_ENV; exit 0; fi # if there is a change on the translation if git diff --name-only HEAD^ HEAD | grep -q "^locale/${{ matrix.language }}" ; then echo "PROCESS=true" >> $GITHUB_ENV; exit 0; fi - name: Get postgres version if: env.PROCESS == 'true' run: | sudo service postgresql start pgver=$(psql --version | grep -Po '(?<=psql \(PostgreSQL\) )[^;]+(?=\.\d \()') echo "PGVER=${pgver}" >> $GITHUB_ENV echo "PGIS=3" >> $GITHUB_ENV - name: Add PostgreSQL APT repository if: env.PROCESS == 'true' run: | sudo apt-get install curl ca-certificates gnupg curl https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add - sudo sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt/ \ $(lsb_release -cs)-pgdg main" > /etc/apt/sources.list.d/pgdg.list' - name: Install python if: env.PROCESS == 'true' uses: actions/setup-python@v2 with: python-version: '3.x' - name: Install dependencies if: env.PROCESS == 'true' run: | sudo apt-get update sudo apt-get install -y \ libboost-graph-dev \ postgresql-${PGVER} \ postgresql-${PGVER}-postgis-${PGIS} \ postgresql-${PGVER}-postgis-${PGIS}-scripts \ postgresql-server-dev-${PGVER} \ graphviz python -m pip install --upgrade pip pip install -r requirements.txt pip list - name: Configure if: env.PROCESS == 'true' run: | export PATH=/usr/lib/postgresql/${PGVER}/bin:$PATH mkdir build cd build cmake -DLINKCHECK=ON -DWITH_DOC=ON \ -DES=ON \ -DPOSTGRESQL_VERSION=${PGVER} -DCMAKE_BUILD_TYPE=Release .. - name: Check Links if: env.PROCESS == 'true' run: | cd build make linkcheck-${{ matrix.language }} - name: Check Documentation if: env.PROCESS == 'true' run: | cd build make html-${{ matrix.language }} pgrouting-3.3.0/.github/workflows/locale-and-website.yml000066400000000000000000000074261414350551100233220ustar00rootroot00000000000000name: Update Locale and Website on: workflow_dispatch: push: branches: - main - develop jobs: release: name: Update Locale and Website runs-on: ubuntu-latest if: ${{ github.repository_owner == 'pgRouting' }} strategy: fail-fast: false steps: - name: Checkout repository uses: actions/checkout@v2 with: fetch-depth: 0 - name: Get postgres version run: | sudo service postgresql start PGVER=$(psql --version | grep -Po '(?<=psql \(PostgreSQL\) )[^;]+(?=\.\d \()') PROJECT_VERSION=$(grep -Po '(?<=project\(PGROUTING VERSION )[^;]+' CMakeLists.txt) echo "PGVER=${PGVER}" >> $GITHUB_ENV echo "PGPORT=5432" >> $GITHUB_ENV echo "PGIS=3" >> $GITHUB_ENV echo "PROJECT_VERSION=${PROJECT_VERSION}" >> $GITHUB_ENV - name: Extract branch name and commit hash run: | branch=${GITHUB_REF#refs/heads/} echo "BRANCH=$branch" >> $GITHUB_ENV git_hash=$(git rev-parse --short "$GITHUB_SHA") echo "GIT_HASH=$git_hash" >> $GITHUB_ENV - name: Add PostgreSQL APT repository run: | sudo apt-get install curl ca-certificates gnupg curl https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add - sudo sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt/ \ $(lsb_release -cs)-pgdg main" > /etc/apt/sources.list.d/pgdg.list' - name: Install python uses: actions/setup-python@v2 with: python-version: '3.x' - name: Install dependencies run: | sudo apt-get update sudo apt-get install -y \ libboost-graph-dev \ postgresql-${PGVER} \ postgresql-${PGVER}-postgis-${PGIS} \ postgresql-${PGVER}-postgis-${PGIS}-scripts \ postgresql-server-dev-${PGVER} \ graphviz \ doxygen python -m pip install --upgrade pip pip install Sphinx pip install sphinx-bootstrap-theme pip install sphinx-intl[transifex] pip list - name: Configure and build documentation run: | export PATH=/usr/lib/postgresql/${PGVER}/bin:$PATH mkdir build cd build cmake -DPOSTGRESQL_VERSION=${PGVER} -DDOC_USE_BOOTSTRAP=ON -DWITH_DOC=ON -DBUILD_DOXY=ON -DCMAKE_BUILD_TYPE=Release -DES=ON .. make doc - name: Initialize mandatory git config run: | git config user.name "github-actions[bot]" git config user.email "41898282+github-actions[bot]@users.noreply.github.com" - name: Update locale if: github.ref == 'refs/heads/develop' run: | tools/transifex/update_locale.sh # Add the files, commit and push for line in `cat build/doc/locale_changes_po_pot.txt`; do git add "$line"; done git diff --staged --quiet || git commit -m "Update locale: commit ${{ env.GIT_HASH }}" git fetch origin develop git restore . # Remove the unstaged changes before rebasing git rebase origin/develop git push origin develop - name: Update Users Documentation run: | git checkout origin/gh-pages git checkout -b gh-pages PROJECT_MAJOR_MINOR="${PROJECT_VERSION%.*}" rm -rf ${PROJECT_MAJOR_MINOR} cp -r build/doc/html ${PROJECT_MAJOR_MINOR} git add ${PROJECT_MAJOR_MINOR} git diff-index --quiet HEAD || git commit -m "Update users documentation for ${PROJECT_VERSION}: commit ${{ env.GIT_HASH }}" git fetch origin git rebase origin/gh-pages git push origin gh-pages env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} pgrouting-3.3.0/.github/workflows/macos.yml000066400000000000000000000024101414350551100207510ustar00rootroot00000000000000name: Build for macOS # manually triggered workflow # - macOS test takes too much time on: workflow_dispatch: jobs: build: name: macos runs-on: macos-latest steps: - name: Checkout repository uses: actions/checkout@v2 - name: install deps run: | brew install postgresql postgis boost - name: Configure run: | mkdir build cd build cmake -DCMAKE_BUILD_TYPE=Release -DWITH_DOC=OFF .. - name: Build run: | cd build make -j sudo make install - name: Install pgTAP run: | git clone https://github.com/theory/pgtap.git pgTapExtension cd pgTapExtension make -j sudo make install sudo cpan TAP::Parser::SourceHandler::pgTAP sudo find /usr/local -name pg_prove sudo ln -s /usr/local/Cellar/perl/5.32.1_1/bin/pg_prove symlink it into /usr/local/bin - name: Test run: | export PATH=/usr/local/Cellar/perl/$(perl -e 'print substr($^V, 1)')/bin:$PATH pg_ctl -D /usr/local/var/postgres start createuser -s postgres createdb ___pgr___test___ bash ./tools/testers/pg_prove_tests.sh postgres 5432 Release pgrouting-3.3.0/.github/workflows/release.yml000066400000000000000000000153031414350551100212740ustar00rootroot00000000000000name: Release on: push: tags: - 'v*.*.*' jobs: release: name: Release runs-on: ubuntu-latest strategy: fail-fast: false steps: - name: Checkout repository uses: actions/checkout@v2 with: fetch-depth: 0 - name: Get postgres version run: | sudo service postgresql start PGVER=$(psql --version | grep -Po '(?<=psql \(PostgreSQL\) )[^;]+(?=\.\d \()') PGROUTING_VERSION=$(grep -Po '(?<=project\(PGROUTING VERSION )[^;]+' CMakeLists.txt) echo "PGVER=${PGVER}" >> $GITHUB_ENV echo "PGPORT=5432" >> $GITHUB_ENV echo "PGIS=3" >> $GITHUB_ENV echo "PGROUTING_VERSION=${PGROUTING_VERSION}" >> $GITHUB_ENV - name: Verify Tag Name run: | TAG_NAME=${GITHUB_REF#refs/*/} echo "TAG_NAME=${TAG_NAME}" >> $GITHUB_ENV echo ${TAG_NAME} echo ${PGROUTING_VERSION} if [ "${TAG_NAME}" != "v${PGROUTING_VERSION}" ]; then echo "Tag name should be v${PGROUTING_VERSION}" exit 1 fi - name: Extract branch name and commit hash run: | raw=$(git branch -r --contains ${{ github.ref }}) branch=${raw##*/} echo "BRANCH=$branch" >> $GITHUB_ENV git_hash=$(git rev-parse --short "$GITHUB_SHA") echo "GIT_HASH=$git_hash" >> $GITHUB_ENV - name: Add PostgreSQL APT repository run: | sudo apt-get install curl ca-certificates gnupg curl https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add - sudo sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt/ \ $(lsb_release -cs)-pgdg main" > /etc/apt/sources.list.d/pgdg.list' - name: Install python uses: actions/setup-python@v2 with: python-version: '3.x' - name: Install dependencies run: | sudo apt-get update sudo apt-get install -y \ libboost-graph-dev \ postgresql-${PGVER} \ postgresql-${PGVER}-postgis-${PGIS} \ postgresql-${PGVER}-postgis-${PGIS}-scripts \ postgresql-server-dev-${PGVER} \ graphviz \ doxygen python -m pip install --upgrade pip pip install Sphinx pip install sphinx-bootstrap-theme pip list - name: Configure run: | export PATH=/usr/lib/postgresql/${PGVER}/bin:$PATH mkdir build cd build cmake -DPOSTGRESQL_VERSION=${PGVER} -DDOC_USE_BOOTSTRAP=ON -DWITH_DOC=ON -DBUILD_DOXY=ON -DCMAKE_BUILD_TYPE=Release -DES=ON .. - name: Build run: | cd build make doc make -j 4 sudo make install make doxy - name: Initialize mandatory git config run: | git config user.name "github-actions[bot]" git config user.email "41898282+github-actions[bot]@users.noreply.github.com" - name: Update Users Documentation run: | git checkout origin/gh-pages git checkout -b gh-pages PGROUTING_MAJOR_MINOR="${PGROUTING_VERSION%.*}" rm -rf ${PGROUTING_MAJOR_MINOR} cp -r build/doc/html ${PGROUTING_MAJOR_MINOR} git add ${PGROUTING_MAJOR_MINOR} git diff-index --quiet HEAD || git commit -m "Update users documentation for ${PGROUTING_VERSION}: commit ${{ env.GIT_HASH }}" git fetch origin git rebase origin/gh-pages git push origin gh-pages git checkout @{-2} - name: Update Developers Documentation if: ${{ env.BRANCH == 'master' }} run: | git checkout gh-pages rm -rf doxygen cp -r build/doxygen/html doxygen git add doxygen git diff-index --quiet HEAD || git commit -m "Update developers documentation for ${PGROUTING_VERSION}: commit ${{ env.GIT_HASH }}" git fetch origin git rebase origin/gh-pages git push origin gh-pages git checkout @{-1} - name: Download Assets run: | wget -c https://github.com/${{ github.repository }}/archive/${TAG_NAME}.zip wget -c https://github.com/${{ github.repository }}/archive/${TAG_NAME}.tar.gz mv ${TAG_NAME}.zip ${{ github.event.repository.name }}-${PGROUTING_VERSION}.zip mv ${TAG_NAME}.tar.gz ${{ github.event.repository.name }}-${PGROUTING_VERSION}.tar.gz - name: Make Attachments run: | cd build/doc cp -r html doc-v${PGROUTING_VERSION}-en-es tar -zcvf doc-v${PGROUTING_VERSION}-en-es.tar.gz doc-v${PGROUTING_VERSION}-en-es cp -r html doc-v${PGROUTING_VERSION}-en rm -rf doc-v${PGROUTING_VERSION}-en/es tar -zcvf doc-v${PGROUTING_VERSION}-en.tar.gz doc-v${PGROUTING_VERSION}-en cp -r html doc-v${PGROUTING_VERSION}-es rm -rf doc-v${PGROUTING_VERSION}-es/en perl -pi -e 's/en\/index.html/es\/index.html/g' doc-v${PGROUTING_VERSION}-es/index.html tar -zcvf doc-v${PGROUTING_VERSION}-es.tar.gz doc-v${PGROUTING_VERSION}-es cd ../.. grep -Pzo "(?s)pgRouting ${PGROUTING_VERSION//./\\.} Release Notes.*?(?=pgRouting .\..\.. Release Notes)" NEWS | tr '\0' '\n' > release_body.txt echo "**Attachments**" >> release_body.txt echo "File | Contents" >> release_body.txt echo "| --- | --- |" >> release_body.txt echo "| \`doc-v${PGROUTING_VERSION}-en-es.tar.gz\` | English and Spanish documentation. Redirection to English" >> release_body.txt echo "| \`doc-v${PGROUTING_VERSION}-en.tar.gz\`|English documentation. Redirection to English" >> release_body.txt echo "| \`doc-v${PGROUTING_VERSION}-es.tar.gz\`|Spanish documentation. Redirection to Spanish" >> release_body.txt echo "| \`pgrouting-${PGROUTING_VERSION}.tar.gz\` | tar.gz of the release" >> release_body.txt echo "| \`pgrouting-${PGROUTING_VERSION}.zip\`| zip of the release" >> release_body.txt cat release_body.txt - name: Create Draft Release uses: softprops/action-gh-release@v1 with: body_path: release_body.txt name: ${{ env.TAG_NAME }} draft: true prerelease: false files: | build/doc/doc-v${{ env.PGROUTING_VERSION }}-en-es.tar.gz build/doc/doc-v${{ env.PGROUTING_VERSION }}-en.tar.gz build/doc/doc-v${{ env.PGROUTING_VERSION }}-es.tar.gz ${{ github.event.repository.name }}-${{ env.PGROUTING_VERSION }}.zip ${{ github.event.repository.name }}-${{ env.PGROUTING_VERSION }}.tar.gz env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} pgrouting-3.3.0/.github/workflows/ubuntu.yml000066400000000000000000000044311414350551100211760ustar00rootroot00000000000000name: Build for Ubuntu # manually triggered workflow # - 5 * 2 * 2 = 20 jobs are triggered # - So many jobs take too much time on: workflow_dispatch: jobs: build: name: Ubuntu psql runs-on: ${{ matrix.os }} strategy: fail-fast: false matrix: psql: [9.6,10,11,12,13,14] postgis: [2.5,3] os: [ubuntu-latest, ubuntu-18.04] exclude: - postgis: 2.5 psql: 14 steps: - uses: actions/checkout@v2 - name: get postgres version run: | sudo service postgresql start pgver=$(psql --version | grep -Po '(?<=psql \(PostgreSQL\) )[^;]+(?=\.\d \()') echo "PGVER=${pgver}" >> $GITHUB_ENV PGP=5433 if [ "${{ matrix.psql }}" == "${pgver}" ]; then PGP=5432; fi echo "PGPORT=${PGP}" >> $GITHUB_ENV - name: Add PostgreSQL APT repository run: | sudo apt-get install curl ca-certificates gnupg curl https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add - sudo sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt/ \ $(lsb_release -cs)-pgdg main" > /etc/apt/sources.list.d/pgdg.list' - name: Install dependencies run: | sudo apt-get update sudo apt-get install -y \ libboost-graph-dev \ libtap-parser-sourcehandler-pgtap-perl \ postgresql-${{ matrix.psql }} \ postgresql-${{ matrix.psql }}-pgtap \ postgresql-${{ matrix.psql }}-postgis-${{ matrix.postgis }} \ postgresql-${{ matrix.psql }}-postgis-${{ matrix.postgis }}-scripts \ postgresql-server-dev-${{ matrix.psql }} - name: Configure for gcc run: | export PATH=/usr/lib/postgresql/${{ matrix.psql }}/bin:$PATH mkdir build cd build cmake -DPOSTGRESQL_VERSION=${{ matrix.psql }} -DCMAKE_BUILD_TYPE=Release -DWITH_DOC=OFF .. - name: Build run: | cd build make -j 4 sudo make install - name: Test run: | sudo service postgresql start sudo -u postgres createdb -p ${PGPORT} ___pgr___test___ sudo -u postgres bash ./tools/testers/pg_prove_tests.sh postgres ${PGPORT} Release pgrouting-3.3.0/.github/workflows/update.yml000066400000000000000000000110061414350551100211320ustar00rootroot00000000000000name: Update # manually triggered workflow # - 10+ jobs created and continue to grow on: workflow_dispatch: jobs: build: name: Build runs-on: ubuntu-latest strategy: fail-fast: false matrix: old_pgr: [3.0.0, 3.0.1, 3.0.2, 3.0.3, 3.0.4, 3.0.5, 3.1.0, 3.1.1, 3.1.2, 3.1.3, 3.2.0, 3.2.1, 3.2.1] steps: - uses: actions/checkout@v2 - name: Get postgres version run: | sudo service postgresql start pgver=$(psql --version | grep -Po '(?<=psql \(PostgreSQL\) )[^;]+(?=\.\d \()') echo "PGVER=${pgver}" >> $GITHUB_ENV echo "PGIS=3" >> $GITHUB_ENV - name: Add PostgreSQL APT repository run: | sudo apt-get install curl ca-certificates gnupg curl https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add - sudo sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt/ \ $(lsb_release -cs)-pgdg main" > /etc/apt/sources.list.d/pgdg.list' - name: Install python uses: actions/setup-python@v2 with: python-version: '3.x' - name: Install dependencies run: | sudo apt-get update sudo apt-get install -y \ libboost-graph-dev \ libtap-parser-sourcehandler-pgtap-perl \ postgresql-${PGVER} \ postgresql-${PGVER}-pgtap \ postgresql-${PGVER}-postgis-${PGIS} \ postgresql-${PGVER}-postgis-${PGIS}-scripts \ postgresql-server-dev-${PGVER} python -m pip install --upgrade pip pip install -r requirements.txt - name: get old version uses: actions/checkout@v2 with: repository: 'pgRouting/pgrouting' ref: "v${{ matrix.old_pgr }}" path: "v${{ matrix.old_pgr }}" - name: build old version run: | cd "v${{ matrix.old_pgr }}" || exit 0 export PATH=/usr/lib/postgresql/${PGVER}/bin:$PATH mkdir build cd build cmake -DPOSTGRESQL_VERSION=${PGVER} -DCMAKE_BUILD_TYPE=Release -DWITH_DOC=OFF .. make -j 4 sudo make install cd ../.. sudo service postgresql start sudo -u postgres createdb -p 5432 ___pgr___test___ sudo -u postgres psql -p 5432 -d ___pgr___test___ -c "CREATE EXTENSION pgrouting CASCADE;" - name: Test old version before update run: | sudo service postgresql start cd ./tools/testers/ sudo -u postgres psql -p 5432 -d ___pgr___test___ -c "SELECT * FROM pgr_full_version();" sudo -u postgres psql -p 5432 -d ___pgr___test___ -X -q -v ON_ERROR_STOP=1 --pset pager=off -f setup_db.sql sudo -u postgres pg_prove --directive --recurse --ext .sql -p 5432 -d ___pgr___test___ ../../pgtap/ - name: Build current version run: | export PATH=/usr/lib/postgresql/${PGVER}/bin:$PATH mkdir build cd build cmake -DPOSTGRESQL_VERSION=${PGVER} -DCMAKE_BUILD_TYPE=Release -DWITH_DOC=OFF .. make -j 4 sudo make install - name: Test old version after update run: | sudo service postgresql start sudo -u postgres psql -p 5432 -d ___pgr___test___ -c "ALTER EXTENSION pgrouting UPDATE TO '3.3.0';" sudo -u postgres psql -p 5432 -d ___pgr___test___ -c "SELECT * FROM pgr_full_version();" sudo -u postgres bash ./tools/testers/pg_prove_tests.sh postgres 5432 sudo -u postgres dropdb -p 5432 ___pgr___test___ - name: Test old version with new lib before update run: | cd ./tools/testers/ sudo -u postgres createdb -p 5432 ___pgr___test___ sudo -u postgres psql -p 5432 -d ___pgr___test___ -c "CREATE EXTENSION pgrouting WITH VERSION '${{ matrix.old_pgr }}' CASCADE;" sudo -u postgres psql -p 5432 -d ___pgr___test___ -c "SELECT * FROM pgr_full_version();" sudo -u postgres psql -p 5432 -d ___pgr___test___ -X -q -v ON_ERROR_STOP=1 --pset pager=off -f setup_db.sql sudo -u postgres pg_prove --directive --recurse --ext .sql -p 5432 -d ___pgr___test___ ../../pgtap/ - name: Test old version with new lib after update run: | sudo -u postgres psql -p 5432 -d ___pgr___test___ -c "ALTER EXTENSION pgrouting UPDATE TO '3.3.0';" sudo -u postgres psql -p 5432 -d ___pgr___test___ -c "SELECT * FROM pgr_full_version();" sudo -u postgres bash ./tools/testers/pg_prove_tests.sh postgres 5432 pgrouting-3.3.0/.github/workflows/windows.yml000066400000000000000000000035331414350551100213500ustar00rootroot00000000000000name: Build for Windows on: push: branches-ignore: - 'gh-pages' env: postgis_version: 3 jobs: build: name: windows runs-on: windows-latest strategy: matrix: pg_major: [11.13, 12.8, 13.4] steps: - name: Checkout repository uses: actions/checkout@v2 - name: Install boost uses: MarkusJx/install-boost@v1.0.1 id: install-boost with: # REQUIRED: Specify the required boost version # A list of supported versions can be found here: # https://github.com/actions/boost-versions/blob/main/versions-manifest.json boost_version: 1.73.0 - name: Add msbuild to PATH uses: microsoft/setup-msbuild@v1.0.3 - name: Install PostgreSQL run: | curl https://get.enterprisedb.com/postgresql/postgresql-${{ matrix.pg_major }}-1-windows-x64-binaries.zip --output pgsql.zip Expand-Archive 'pgsql.zip' -Force $env:path += ";$(Get-Location)\pgsql\pgsql\bin\" $env:path -split ";" initdb -D pgsql\data -U postgres pg_ctl -D pgsql\data start echo "POSTGRESQL_DIR=$pwd\pgsql\pgsql" >> $env:GITHUB_ENV - name: Check Postgres running run: | ${{ env.POSTGRESQL_DIR }}\bin\psql -U postgres -d postgres -c "SELECT version()" - name: Configure run: | mkdir build cd build cmake -DPOSTGRESQL_BIN=${{ env.POSTGRESQL_DIR }}\bin -DPOSTGRESQL_INCLUDE_DIR="${{ env.POSTGRESQL_DIR }}\include;${{ env.POSTGRESQL_DIR }}\include\server" -G"Visual Studio 16 2019" -DCMAKE_BUILD_TYPE=Release -DWITH_DOC=OFF .. env: BOOST_ROOT: ${{ steps.install-boost.outputs.BOOST_ROOT }} - name: build run: | cd build msbuild PGROUTING.sln /target:Build /property:Configuration=Release pgrouting-3.3.0/.gitignore000066400000000000000000000001711414350551100155210ustar00rootroot00000000000000# default build directory build fix_typos code_linter src/version/version.h .DS_Store .vagrant .directory notUsed *.swp pgrouting-3.3.0/.tx/000077500000000000000000000000001414350551100142435ustar00rootroot00000000000000pgrouting-3.3.0/.tx/config000066400000000000000000000514521414350551100154420ustar00rootroot00000000000000[main] host = https://www.transifex.com type = po [pgrouting.locale-en-lc-messages-pgr-analyzegraph-po--develop] file_filter = locale//LC_MESSAGES/pgr_analyzeGraph.po source_file = locale/pot/pgr_analyzeGraph.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-primbfs-po--develop] file_filter = locale//LC_MESSAGES/pgr_primBFS.po source_file = locale/pot/pgr_primBFS.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-contraction-po--develop] file_filter = locale//LC_MESSAGES/pgr_contraction.po source_file = locale/pot/pgr_contraction.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-dagshortestpath-po--develop] file_filter = locale//LC_MESSAGES/pgr_dagShortestPath.po source_file = locale/pot/pgr_dagShortestPath.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-boykovkolmogorov-po--develop] file_filter = locale//LC_MESSAGES/pgr_boykovKolmogorov.po source_file = locale/pot/pgr_boykovKolmogorov.pot source_lang = en [pgrouting.locale-en-lc-messages-withpoints-family-po--develop] file_filter = locale//LC_MESSAGES/withPoints-family.po source_file = locale/pot/withPoints-family.pot source_lang = en [pgrouting.locale-en-lc-messages-cost-category-po--develop] file_filter = locale//LC_MESSAGES/cost-category.po source_file = locale/pot/cost-category.pot source_lang = en [pgrouting.locale-en-lc-messages-costmatrix-category-po--develop] file_filter = locale//LC_MESSAGES/costMatrix-category.po source_file = locale/pot/costMatrix-category.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-maxflow-po--develop] file_filter = locale//LC_MESSAGES/pgr_maxFlow.po source_file = locale/pot/pgr_maxFlow.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-withpointsdd-po--develop] file_filter = locale//LC_MESSAGES/pgr_withPointsDD.po source_file = locale/pot/pgr_withPointsDD.pot source_lang = en [pgrouting.locale-en-lc-messages-transformation-family-po--develop] file_filter = locale//LC_MESSAGES/transformation-family.po source_file = locale/pot/transformation-family.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-prim-po--develop] file_filter = locale//LC_MESSAGES/pgr_prim.po source_file = locale/pot/pgr_prim.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-kruskaldd-po--develop] file_filter = locale//LC_MESSAGES/pgr_kruskalDD.po source_file = locale/pot/pgr_kruskalDD.pot source_lang = en [pgrouting.locale-en-lc-messages-pgrouting-concepts-po--develop] file_filter = locale//LC_MESSAGES/pgRouting-concepts.po source_file = locale/pot/pgRouting-concepts.pot source_lang = en [pgrouting.locale-en-lc-messages-bddijkstra-family-po--develop] file_filter = locale//LC_MESSAGES/bdDijkstra-family.po source_file = locale/pot/bdDijkstra-family.pot source_lang = en [pgrouting.locale-en-lc-messages-components-family-po--develop] file_filter = locale//LC_MESSAGES/components-family.po source_file = locale/pot/components-family.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-withpointsksp-po--develop] file_filter = locale//LC_MESSAGES/pgr_withPointsKSP.po source_file = locale/pot/pgr_withPointsKSP.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-dijkstracostmatrix-po--develop] file_filter = locale//LC_MESSAGES/pgr_dijkstraCostMatrix.po source_file = locale/pot/pgr_dijkstraCostMatrix.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-edwardmoore-po--develop] file_filter = locale//LC_MESSAGES/pgr_edwardMoore.po source_file = locale/pot/pgr_edwardMoore.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-dijkstracost-po--develop] file_filter = locale//LC_MESSAGES/pgr_dijkstraCost.po source_file = locale/pot/pgr_dijkstraCost.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-astar-po--develop] file_filter = locale//LC_MESSAGES/pgr_aStar.po source_file = locale/pot/pgr_aStar.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-drivingdistance-po--develop] file_filter = locale//LC_MESSAGES/pgr_drivingDistance.po source_file = locale/pot/pgr_drivingDistance.pot source_lang = en [pgrouting.locale-en-lc-messages-astar-family-po--develop] file_filter = locale//LC_MESSAGES/aStar-family.po source_file = locale/pot/aStar-family.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-makeconnected-po--develop] file_filter = locale//LC_MESSAGES/pgr_makeConnected.po source_file = locale/pot/pgr_makeConnected.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-withpointscostmatrix-po--develop] file_filter = locale//LC_MESSAGES/pgr_withPointsCostMatrix.po source_file = locale/pot/pgr_withPointsCostMatrix.pot source_lang = en [pgrouting.locale-en-lc-messages-coloring-family-po--develop] file_filter = locale//LC_MESSAGES/coloring-family.po source_file = locale/pot/coloring-family.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-isplanar-po--develop] file_filter = locale//LC_MESSAGES/pgr_isPlanar.po source_file = locale/pot/pgr_isPlanar.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-kruskal-po--develop] file_filter = locale//LC_MESSAGES/pgr_kruskal.po source_file = locale/pot/pgr_kruskal.pot source_lang = en [pgrouting.locale-en-lc-messages-experimental-po--develop] file_filter = locale//LC_MESSAGES/experimental.po source_file = locale/pot/experimental.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-binarybreadthfirstsearch-po--develop] file_filter = locale//LC_MESSAGES/pgr_binaryBreadthFirstSearch.po source_file = locale/pot/pgr_binaryBreadthFirstSearch.pot source_lang = en [pgrouting.locale-en-lc-messages-index-po--develop] file_filter = locale//LC_MESSAGES/index.po source_file = locale/pot/index.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-full-version-po--develop] file_filter = locale//LC_MESSAGES/pgr_full_version.po source_file = locale/pot/pgr_full_version.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-trsp-po--develop] file_filter = locale//LC_MESSAGES/pgr_trsp.po source_file = locale/pot/pgr_trsp.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-primdd-po--develop] file_filter = locale//LC_MESSAGES/pgr_primDD.po source_file = locale/pot/pgr_primDD.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-dijkstranearcost-po--develop] file_filter = locale//LC_MESSAGES/pgr_dijkstraNearCost.po source_file = locale/pot/pgr_dijkstraNearCost.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-linegraphfull-po--develop] file_filter = locale//LC_MESSAGES/pgr_lineGraphFull.po source_file = locale/pot/pgr_lineGraphFull.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-withpoints-po--develop] file_filter = locale//LC_MESSAGES/pgr_withPoints.po source_file = locale/pot/pgr_withPoints.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-bddijkstra-po--develop] file_filter = locale//LC_MESSAGES/pgr_bdDijkstra.po source_file = locale/pot/pgr_bdDijkstra.pot source_lang = en [pgrouting.locale-en-lc-messages-routingfunctions-po--develop] file_filter = locale//LC_MESSAGES/routingFunctions.po source_file = locale/pot/routingFunctions.pot source_lang = en [pgrouting.locale-en-lc-messages-spanningtree-family-po--develop] file_filter = locale//LC_MESSAGES/spanningTree-family.po source_file = locale/pot/spanningTree-family.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-vrponedepot-po--develop] file_filter = locale//LC_MESSAGES/pgr_vrpOneDepot.po source_file = locale/pot/pgr_vrpOneDepot.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-topologicalsort-po--develop] file_filter = locale//LC_MESSAGES/pgr_topologicalSort.po source_file = locale/pot/pgr_topologicalSort.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-maxflowmincost-cost-po--develop] file_filter = locale//LC_MESSAGES/pgr_maxFlowMinCost_Cost.po source_file = locale/pot/pgr_maxFlowMinCost_Cost.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-stoerwagner-po--develop] file_filter = locale//LC_MESSAGES/pgr_stoerWagner.po source_file = locale/pot/pgr_stoerWagner.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-connectedcomponents-po--develop] file_filter = locale//LC_MESSAGES/pgr_connectedComponents.po source_file = locale/pot/pgr_connectedComponents.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-kruskaldfs-po--develop] file_filter = locale//LC_MESSAGES/pgr_kruskalDFS.po source_file = locale/pot/pgr_kruskalDFS.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-tsp-po--develop] file_filter = locale//LC_MESSAGES/pgr_TSP.po source_file = locale/pot/pgr_TSP.pot source_lang = en [pgrouting.locale-en-lc-messages-drivingdistance-category-po--develop] file_filter = locale//LC_MESSAGES/drivingDistance-category.po source_file = locale/pot/drivingDistance-category.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-chinesepostmancost-po--develop] file_filter = locale//LC_MESSAGES/pgr_chinesePostmanCost.po source_file = locale/pot/pgr_chinesePostmanCost.pot source_lang = en [pgrouting.locale-en-lc-messages-contraction-family-po--develop] file_filter = locale//LC_MESSAGES/contraction-family.po source_file = locale/pot/contraction-family.pot source_lang = en [pgrouting.locale-en-lc-messages-bdastar-family-po--develop] file_filter = locale//LC_MESSAGES/bdAstar-family.po source_file = locale/pot/bdAstar-family.pot source_lang = en [pgrouting.locale-en-lc-messages-traversal-family-po--develop] file_filter = locale//LC_MESSAGES/traversal-family.po source_file = locale/pot/traversal-family.pot source_lang = en [pgrouting.locale-en-lc-messages-sampledata-po--develop] file_filter = locale//LC_MESSAGES/sampledata.po source_file = locale/pot/sampledata.pot source_lang = en [pgrouting.locale-en-lc-messages-vrp-category-po--develop] file_filter = locale//LC_MESSAGES/VRP-category.po source_file = locale/pot/VRP-category.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-pushrelabel-po--develop] file_filter = locale//LC_MESSAGES/pgr_pushRelabel.po source_file = locale/pot/pgr_pushRelabel.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-primdfs-po--develop] file_filter = locale//LC_MESSAGES/pgr_primDFS.po source_file = locale/pot/pgr_primDFS.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-maxflowmincost-po--develop] file_filter = locale//LC_MESSAGES/pgr_maxFlowMinCost.po source_file = locale/pot/pgr_maxFlowMinCost.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-breadthfirstsearch-po--develop] file_filter = locale//LC_MESSAGES/pgr_breadthFirstSearch.po source_file = locale/pot/pgr_breadthFirstSearch.pot source_lang = en [pgrouting.locale-en-lc-messages-chinesepostmanproblem-family-po--develop] file_filter = locale//LC_MESSAGES/chinesePostmanProblem-family.po source_file = locale/pot/chinesePostmanProblem-family.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-biconnectedcomponents-po--develop] file_filter = locale//LC_MESSAGES/pgr_biconnectedComponents.po source_file = locale/pot/pgr_biconnectedComponents.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-nodenetwork-po--develop] file_filter = locale//LC_MESSAGES/pgr_nodeNetwork.po source_file = locale/pot/pgr_nodeNetwork.pot source_lang = en [pgrouting.locale-en-lc-messages-proposed-po--develop] file_filter = locale//LC_MESSAGES/proposed.po source_file = locale/pot/proposed.pot source_lang = en [pgrouting.locale-en-lc-messages-pgrouting-installation-po--develop] file_filter = locale//LC_MESSAGES/pgRouting-installation.po source_file = locale/pot/pgRouting-installation.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-linegraph-po--develop] file_filter = locale//LC_MESSAGES/pgr_lineGraph.po source_file = locale/pot/pgr_lineGraph.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-transitiveclosure-po--develop] file_filter = locale//LC_MESSAGES/pgr_transitiveClosure.po source_file = locale/pot/pgr_transitiveClosure.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-turnrestrictedpath-po--develop] file_filter = locale//LC_MESSAGES/pgr_turnRestrictedPath.po source_file = locale/pot/pgr_turnRestrictedPath.pot source_lang = en [pgrouting.locale-en-lc-messages-prim-family-po--develop] file_filter = locale//LC_MESSAGES/prim-family.po source_file = locale/pot/prim-family.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-alphashape-po--develop] file_filter = locale//LC_MESSAGES/pgr_alphaShape.po source_file = locale/pot/pgr_alphaShape.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-astarcost-po--develop] file_filter = locale//LC_MESSAGES/pgr_aStarCost.po source_file = locale/pot/pgr_aStarCost.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-kruskalbfs-po--develop] file_filter = locale//LC_MESSAGES/pgr_kruskalBFS.po source_file = locale/pot/pgr_kruskalBFS.pot source_lang = en [pgrouting.locale-en-lc-messages-dijkstra-family-po--develop] file_filter = locale//LC_MESSAGES/dijkstra-family.po source_file = locale/pot/dijkstra-family.pot source_lang = en [pgrouting.locale-en-lc-messages-kruskal-family-po--develop] file_filter = locale//LC_MESSAGES/kruskal-family.po source_file = locale/pot/kruskal-family.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-dijkstra-po--develop] file_filter = locale//LC_MESSAGES/pgr_dijkstra.po source_file = locale/pot/pgr_dijkstra.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-withpointscost-po--develop] file_filter = locale//LC_MESSAGES/pgr_withPointsCost.po source_file = locale/pot/pgr_withPointsCost.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-bddijkstracostmatrix-po--develop] file_filter = locale//LC_MESSAGES/pgr_bdDijkstraCostMatrix.po source_file = locale/pot/pgr_bdDijkstraCostMatrix.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-strongcomponents-po--develop] file_filter = locale//LC_MESSAGES/pgr_strongComponents.po source_file = locale/pot/pgr_strongComponents.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-version-po--develop] file_filter = locale//LC_MESSAGES/pgr_version.po source_file = locale/pot/pgr_version.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-pickdeliver-po--develop] file_filter = locale//LC_MESSAGES/pgr_pickDeliver.po source_file = locale/pot/pgr_pickDeliver.pot source_lang = en [pgrouting.locale-en-lc-messages-pgrouting-introduction-po--develop] file_filter = locale//LC_MESSAGES/pgRouting-introduction.po source_file = locale/pot/pgRouting-introduction.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-floydwarshall-po--develop] file_filter = locale//LC_MESSAGES/pgr_floydWarshall.po source_file = locale/pot/pgr_floydWarshall.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-astarcostmatrix-po--develop] file_filter = locale//LC_MESSAGES/pgr_aStarCostMatrix.po source_file = locale/pot/pgr_aStarCostMatrix.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-edmondskarp-po--develop] file_filter = locale//LC_MESSAGES/pgr_edmondsKarp.po source_file = locale/pot/pgr_edmondsKarp.pot source_lang = en [pgrouting.locale-en-lc-messages-release-notes-po--develop] file_filter = locale//LC_MESSAGES/release_notes.po source_file = locale/pot/release_notes.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-bdastarcost-po--develop] file_filter = locale//LC_MESSAGES/pgr_bdAstarCost.po source_file = locale/pot/pgr_bdAstarCost.pot source_lang = en [pgrouting.locale-en-lc-messages-support-po--develop] file_filter = locale//LC_MESSAGES/support.po source_file = locale/pot/support.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-dijkstravia-po--develop] file_filter = locale//LC_MESSAGES/pgr_dijkstraVia.po source_file = locale/pot/pgr_dijkstraVia.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-bddijkstracost-po--develop] file_filter = locale//LC_MESSAGES/pgr_bdDijkstraCost.po source_file = locale/pot/pgr_bdDijkstraCost.pot source_lang = en [pgrouting.locale-en-lc-messages-flow-family-po--develop] file_filter = locale//LC_MESSAGES/flow-family.po source_file = locale/pot/flow-family.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-tspeuclidean-po--develop] file_filter = locale//LC_MESSAGES/pgr_TSPeuclidean.po source_file = locale/pot/pgr_TSPeuclidean.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-extractvertices-po--develop] file_filter = locale//LC_MESSAGES/pgr_extractVertices.po source_file = locale/pot/pgr_extractVertices.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-lengauertarjandominatortree-po--develop] file_filter = locale//LC_MESSAGES/pgr_lengauerTarjanDominatorTree.po source_file = locale/pot/pgr_lengauerTarjanDominatorTree.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-edgedisjointpaths-po--develop] file_filter = locale//LC_MESSAGES/pgr_edgeDisjointPaths.po source_file = locale/pot/pgr_edgeDisjointPaths.pot source_lang = en [pgrouting.locale-en-lc-messages-allpairs-family-po--develop] file_filter = locale//LC_MESSAGES/allpairs-family.po source_file = locale/pot/allpairs-family.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-ksp-po--develop] file_filter = locale//LC_MESSAGES/pgr_KSP.po source_file = locale/pot/pgr_KSP.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-depthfirstsearch-po--develop] file_filter = locale//LC_MESSAGES/pgr_depthFirstSearch.po source_file = locale/pot/pgr_depthFirstSearch.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-pickdelivereuclidean-po--develop] file_filter = locale//LC_MESSAGES/pgr_pickDeliverEuclidean.po source_file = locale/pot/pgr_pickDeliverEuclidean.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-chinesepostman-po--develop] file_filter = locale//LC_MESSAGES/pgr_chinesePostman.po source_file = locale/pot/pgr_chinesePostman.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-analyzeoneway-po--develop] file_filter = locale//LC_MESSAGES/pgr_analyzeOneWay.po source_file = locale/pot/pgr_analyzeOneWay.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-bdastar-po--develop] file_filter = locale//LC_MESSAGES/pgr_bdAstar.po source_file = locale/pot/pgr_bdAstar.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-bdastarcostmatrix-po--develop] file_filter = locale//LC_MESSAGES/pgr_bdAstarCostMatrix.po source_file = locale/pot/pgr_bdAstarCostMatrix.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-createverticestable-po--develop] file_filter = locale//LC_MESSAGES/pgr_createVerticesTable.po source_file = locale/pot/pgr_createVerticesTable.pot source_lang = en [pgrouting.locale-en-lc-messages-topology-functions-po--develop] file_filter = locale//LC_MESSAGES/topology-functions.po source_file = locale/pot/topology-functions.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-dijkstranear-po--develop] file_filter = locale//LC_MESSAGES/pgr_dijkstraNear.po source_file = locale/pot/pgr_dijkstraNear.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-bridges-po--develop] file_filter = locale//LC_MESSAGES/pgr_bridges.po source_file = locale/pot/pgr_bridges.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-johnson-po--develop] file_filter = locale//LC_MESSAGES/pgr_johnson.po source_file = locale/pot/pgr_johnson.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-bellmanford-po--develop] file_filter = locale//LC_MESSAGES/pgr_bellmanFord.po source_file = locale/pot/pgr_bellmanFord.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-sequentialvertexcoloring-po--develop] file_filter = locale//LC_MESSAGES/pgr_sequentialVertexColoring.po source_file = locale/pot/pgr_sequentialVertexColoring.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-createtopology-po--develop] file_filter = locale//LC_MESSAGES/pgr_createTopology.po source_file = locale/pot/pgr_createTopology.pot source_lang = en [pgrouting.locale-en-lc-messages-tsp-family-po--develop] file_filter = locale//LC_MESSAGES/TSP-family.po source_file = locale/pot/TSP-family.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-maxcardinalitymatch-po--develop] file_filter = locale//LC_MESSAGES/pgr_maxCardinalityMatch.po source_file = locale/pot/pgr_maxCardinalityMatch.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-articulationpoints-po--develop] file_filter = locale//LC_MESSAGES/pgr_articulationPoints.po source_file = locale/pot/pgr_articulationPoints.pot source_lang = en [pgrouting.locale-en-lc-messages-ksp-category-po--develop] file_filter = locale//LC_MESSAGES/KSP-category.po source_file = locale/pot/KSP-category.pot source_lang = en [pgrouting.locale-en-lc-messages-pgr-bipartite-po--develop] file_filter = locale//LC_MESSAGES/pgr_bipartite.po source_file = locale/pot/pgr_bipartite.pot source_lang = en pgrouting-3.3.0/BOOST_LICENSE_1_0.txt000066400000000000000000000024721414350551100167670ustar00rootroot00000000000000Boost Software License - Version 1.0 - August 17th, 2003 Permission is hereby granted, free of charge, to any person or organization obtaining a copy of the software and accompanying documentation covered by this license (the "Software") to use, reproduce, display, distribute, execute, and transmit the Software, and to prepare derivative works of the Software, and to permit third-parties to whom the Software is furnished to do so, all subject to the following: The copyright notices in the Software and this entire statement, including the above license grant, this restriction and the following disclaimer, must be included in all copies of the Software, in whole or in part, and all derivative works of the Software, unless such copies or derivative works are solely in the form of machine-executable object code generated by a source language processor. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR ANYONE DISTRIBUTING THE SOFTWARE BE LIABLE FOR ANY DAMAGES OR OTHER LIABILITY, WHETHER IN CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. pgrouting-3.3.0/CMakeLists.txt000066400000000000000000000353711414350551100163030ustar00rootroot00000000000000cmake_minimum_required(VERSION 3.2 FATAL_ERROR) if (${CMAKE_SOURCE_DIR} STREQUAL ${CMAKE_BINARY_DIR}) message(FATAL_ERROR "In-source builds not allowed. Please make a new directory (called a build directory) and run CMake from there. You may need to remove CMakeCache.txt." ) endif() #--------------------------------------------- # Setting kind of build #--------------------------------------------- list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake") include(pgr/BuildType) #--------------------------------------------- #--------------------------------------------- #--------------------------------------------- project(PGROUTING VERSION 3.3.0 LANGUAGES C CXX ) set(PROJECT_VERSION_DEV "") string(TOLOWER "${PROJECT_NAME}" PROJECT_NAME_LOWER) include(pgr/GitInfo) include(pgr/Version) add_definitions(-DPROJECT_VERSION="${PROJECT_VERSION}${PROJECT_VERSION_DEV}") set(PROJECT_LIB_NAME "${PROJECT_NAME_LOWER}-${PROJECT_LIB_VERSION}") string(TIMESTAMP COMPILATION_DATE "%Y/%m/%d") set(MINORS 3.3 3.2 3.1 3.0 2.6) set(OLD_SIGNATURES 3.2.2 3.2.1 3.2.0 3.1.4 3.1.3 3.1.2 3.1.1 3.1.0 3.0.6 3.0.5 3.0.4 3.0.3 3.0.2 3.0.1 3.0.0 2.6.3 2.6.2 2.6.1 2.6.0 ) #============================================= # Set the working directories #============================================= include(pgr/Configure) #--------------------------------------------- # minimum versions #--------------------------------------------- set(DOXYGEN_MINIMUM_VERSION "1.7") set(SPHINX_MINIMUM_VERSION "4.0") set(POSTGRESQL_MINIMUM_VERSION "9.2.0") set(BOOST_MINIMUM_VERSION "1.56.0") set(POSTGIS_MINIMUM_VERSION "2.0.0") message(STATUS "DOXYGEN_MINIMUM_VERSION=${DOXYGEN_MINIMUM_VERSION}") message(STATUS "SPHINX_MINIMUM_VERSION=${SPHINX_MINIMUM_VERSION}") message(STATUS "POSTGRESQL_MINIMUM_VERSION=${POSTGRESQL_MINIMUM_VERSION}") message(STATUS "BOOST_MINIMUM_VERSION=${BOOST_MINIMUM_VERSION}") message(STATUS "POSTGIS_MINIMUM_VERSION=${POSTGIS_MINIMUM_VERSION}") # cmake 3.2 adds unwanted flags if(WIN32 AND MSVC) set(CMAKE_C_FLAGS "") set(CMAKE_CXX_FLAGS "") endif() #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- # C/C++ Compiler requirements #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- find_package(Boost ${BOOST_MINIMUM_VERSION} REQUIRED) if (NOT Boost_VERSION_MACRO) set(Boost_VERSION_MACRO ${Boost_VERSION}) endif() add_definitions(-DBoost_VERSION_MACRO=${Boost_VERSION_MACRO}) set(BOOST_VERSION "${Boost_MAJOR_VERSION}.${Boost_MINOR_VERSION}.${Boost_SUBMINOR_VERSION}") include(CheckCCompilerFlag) include(CheckCXXCompilerFlag) if (BOOST_VERSION VERSION_LESS "1.75.0") CHECK_CXX_COMPILER_FLAG("-std=c++11" COMPILER_SUPPORTS_CXX11) if(COMPILER_SUPPORTS_CXX11) set(CMAKE_CXX_STANDARD 11) set(CMAKE_CXX_STANDARD_REQUIRED ON) set(CMAKE_CXX_EXTENSIONS OFF) else() CHECK_CXX_COMPILER_FLAG("-std=c++0x" COMPILER_SUPPORTS_CXX0X) if(COMPILER_SUPPORTS_CXX0X) add_compile_options("-std=c++0x") message(STATUS "Using -std=c++0x.") else() message(WARNING "The compiler ${CMAKE_CXX_COMPILER} has no C++0x or C++11 flags support. Using: callback compiler's standard") endif() endif() else() set(CMAKE_CXX_STANDARD 14) endif() add_definitions(-DBOOST_ALLOW_DEPRECATED_HEADERS) set(COMPILER_VERSION "${CMAKE_CXX_COMPILER_ID}-${CMAKE_CXX_COMPILER_VERSION}") #--------------------------------------------- # Windows compiler flags #--------------------------------------------- if(WIN32 AND NOT MSVC) set(OS_BUILD $ENV{OS_BUILD}) if(NOT OS_BUILD) set(OS_BUILD "64") endif() set(CMAKE_PREFIX_PATH ${CMAKE_PREFIX_PATH}:/c/ming${OS_BUILD}/projects/pgx${OS_BUILD}/pg92) if (NOT BOOST_ROOT) set(BOOST_ROOT c:/ming${OS_BUILD}/msys/local) endif() if (PROJECT_DEBUG) message(STATUS "OS_BUILD=${OS_BUILD}") message(STATUS "BOOST_ROOT=${BOOST_ROOT}") message(STATUS "CMAKE_PREFIX_PATH=${CMAKE_PREFIX_PATH}") endif() endif(WIN32 AND NOT MSVC) if(WIN32 AND MSVC) add_compile_options( -D_CRT_SECURE_NO_DEPRECATE -D_SCL_SECURE_NO_DEPRECATE -D_CRT_SECURE_NO_WARNINGS -D_SCL_SECURE_NO_WARNINGS -D_CRT_NONSTDC_NO_DEPRECATE -D_CRT_NONSTDC_NO_DEPRECATE -EHsc) endif() #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- # Finding prerequisites #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- #--------------------------------------------- #--------------------------------------------- # Perl #--------------------------------------------- #--------------------------------------------- include(FindPerl) if(NOT PERL_EXECUTABLE) message(FATAL_ERROR "perl NOT FOUND - Please check your Perl installation.") endif() #--------------------------------------------- #--------------------------------------------- # PostgreSQL #--------------------------------------------- #--------------------------------------------- find_package(PostgreSQL) if(NOT POSTGRESQL_FOUND OR NOT POSTGRESQL_VERSION_STRING) message(FATAL_ERROR "PostgreSQL not found - Please check your PostgreSQL installation.") endif() message(STATUS "POSTGRESQL_VERSION_STRING=${POSTGRESQL_VERSION_STRING}") string(SUBSTRING "${POSTGRESQL_VERSION_STRING}" 11 -1 POSTGRESQL_VERSION) # for XbetaY XalphaY XrcY -> X.Y string(REGEX REPLACE "^([0-9]+)[beta|alpha|rc|devel].*" "\\1.0" POSTGRESQL_VERSION ${POSTGRESQL_VERSION}) #for X.Y.Z -> XY Y<10 string(REGEX REPLACE "^([0-9]+)\\.([0-9]+).*" "\\1\\2" PGSQL_VERSION ${POSTGRESQL_VERSION}) if("${POSTGRESQL_VERSION}" VERSION_LESS "${POSTGRESQL_MINIMUM_VERSION}") message(FATAL_ERROR " PostgreSQL ${POSTGRESQL_MINIMUM_VERSION} or greater is required.") endif("${POSTGRESQL_VERSION}" VERSION_LESS "${POSTGRESQL_MINIMUM_VERSION}") #------- include_directories(SYSTEM ${POSTGRESQL_INCLUDE_DIR}) if(WIN32) include_directories(SYSTEM ${POSTGRESQL_INCLUDE_DIR}/port/win32) if(MSVC) include_directories(SYSTEM ${POSTGRESQL_INCLUDE_DIR}/port/win32_msvc/) endif() endif() add_definitions(-DPGSQL_VERSION=${PGSQL_VERSION}) message(STATUS "PGSQL_VERSION=${PGSQL_VERSION}") #--------------------------------------------- #--------------------------------------------- # Boost #--------------------------------------------- #--------------------------------------------- include_directories(SYSTEM ${Boost_INCLUDE_DIRS}) #--------------------------------------------- if (PROJECT_DEBUG) message(STATUS "PERL_VERSION_STRING = ${PERL_VERSION_STRING}") message(STATUS "POSTGRESQL_VERSION is ${PGSQL_VERSION}") message(STATUS "PGSQL_VERSION is ${PGSQL_VERSION}") message(STATUS "Boost_INCLUDE_DIRS = ${Boost_INCLUDE_DIRS}") message(STATUS "POSTGRESQL_INCLUDE_DIR = ${POSTGRESQL_INCLUDE_DIR}") endif() #--------------------------------------------- #--------------------------------------------- # PROJECT includes #--------------------------------------------- #--------------------------------------------- include_directories(${PROJECT_SOURCE_DIR}/include) #--------------------------------------------- # library directory #--------------------------------------------- execute_process( COMMAND ${POSTGRESQL_PG_CONFIG} --pkglibdir OUTPUT_STRIP_TRAILING_WHITESPACE OUTPUT_VARIABLE LIBRARY_INSTALL_PATH) if(NOT LIBRARY_INSTALL_PATH) message(FATAL_ERROR "pg_config --pkglibdir failed to return a value. Please check your PostgreSQL installation!") endif() message(STATUS "LIBRARY_INSTALL_PATH ${LIBRARY_INSTALL_PATH}") #--------------------------------------------- # extension directory #--------------------------------------------- execute_process( COMMAND ${POSTGRESQL_PG_CONFIG} --sharedir OUTPUT_STRIP_TRAILING_WHITESPACE OUTPUT_VARIABLE SHARE_DIR) #------- if(SHARE_DIR) set(SHARE_DIR "${SHARE_DIR}/extension") else(SHARE_DIR) message(FATAL_ERROR "pg_config --sharedir failed to return a value. Please check your PostgreSQL installation!") endif(SHARE_DIR) #--------------------------------------------- if (PROJECT_DEBUG) message(STATUS "POSTGRESQL_LIBRARIES=${POSTGRESQL_LIBRARIES}") message(STATUS "LIBRARY_INSTALL_PATH=${LIBRARY_INSTALL_PATH}") message(STATUS "SHARE_DIR=${SHARE_DIR}") endif() #--------------------------------------------- # Special cases for windows #--------------------------------------------- if(WIN32) link_directories(${POSTGRESQL_LIBRARIES}) link_libraries(postgres) endif() #----------------------------------------------------------------------------- if (PROJECT_DEBUG) get_property(dirs DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR} PROPERTY INCLUDE_DIRECTORIES) message(STATUS "INCLUDE_DIRECTORIES='${dirs}'") endif() #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ #compiler directives #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ # https://www.postgresql.org/docs/10/xfunc-c.html if(NOT WIN32) CHECK_C_COMPILER_FLAG("-fPIC" C_COMPILER_SUPPORTS_FPIC) CHECK_CXX_COMPILER_FLAG("-fPIC" CXX_COMPILER_SUPPORTS_FPIC) if(C_COMPILER_SUPPORTS_FPIC) set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -fPIC ") endif() if(CXX_COMPILER_SUPPORTS_FPIC) set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fPIC ") endif() endif() if(WIN32 AND MSVC) set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${CMAKE_C_FLAGS}") endif() if(CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang") if (CMAKE_CXX_COMPILER_ID MATCHES "GNU") CHECK_C_COMPILER_FLAG("-frounding-math" C_COMPILER_SUPPORTS_ROUNDING_MATH) CHECK_CXX_COMPILER_FLAG("-frounding-math" CXX_COMPILER_SUPPORTS_ROUNDING_MATH) if(C_COMPILER_SUPPORTS_ROUNDING_MATH) set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -frounding-math ") endif() if(CXX_COMPILER_SUPPORTS_ROUNDING_MATH) set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -frounding-math ") endif() endif() set(CMAKE_C_FLAGS_DEBUG "${CMAKE_C_FLAGS_DEBUG} -Wall -Wconversion -Wmissing-prototypes -W -Wunused -Wuninitialized -Wextra -Wdouble-promotion") add_definitions(-Wsign-conversion -Wfloat-conversion) if(BOOST_Geometry_VERSION_OK) set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -Wall -Wconversion -pedantic -W -Wunused -Wuninitialized -Wextra -Wdouble-promotion") else() set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -Wall -pedantic -W -Wunused -Wuninitialized -Wextra -Wdouble-promotion") endif() endif() #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ if (PROJECT_DEBUG) message(STATUS "CMAKE_CXX_FLAGS_DEBUG= ${CMAKE_CXX_FLAGS_DEBUG}") message(STATUS "CMAKE_CXX_FLAGS_RELEASE= ${CMAKE_CXX_FLAGS_RELEASE}") message(STATUS "CMAKE_CXX_FLAGS= ${CMAKE_CXX_FLAGS}") message(STATUS "CMAKE_C_FLAGS_DEBUG= ${CMAKE_C_FLAGS_DEBUG}") message(STATUS "CMAKE_C_FLAGS_RELEASE= ${CMAKE_C_FLAGS_RELEASE}") message(STATUS "CMAKE_C_FLAGS= ${CMAKE_C_FLAGS}") message(STATUS "UNIX=${UNIX}") message(STATUS "WIN32=${WIN32}") message(STATUS "MSVC=${MSVC}") endif() #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ #==================================================================== # Include the working directories #==================================================================== if(WITH_INTERNAL_TESTS) message("Including InternalQueryTests") set(PROJECT_SRC_DIRECTORIES ${PROJECT_SRC_DIRECTORIES} "internalQueryTests") endif() #------------------- # add the subdirectories that have the C/C++ code #------------------- foreach (subdir ${PROJECT_SRC_DIRECTORIES}) add_subdirectory("${PROJECT_SOURCE_DIR}/src/${subdir}") endforeach() #==================================================================== # assemble the object files from the src functions into # a single library librouting.so set(LIBRARY_OUTPUT_PATH lib) if(APPLE) set(LIBRARY_MODE_TARGET "MODULE") else(APPLE) set(LIBRARY_MODE_TARGET "SHARED") endif(APPLE) LINK_LIBRARIES(${BOOST_THREAD_LIBRARIES}) #------------------- # pgRouting objects to be linked #------------------- foreach (subdir ${PROJECT_SRC_DIRECTORIES} ) set(PROJECT_OBJECTS ${PROJECT_OBJECTS} "$") endforeach() #----------------------------------------------------------------------------- # PROJECT Library names #----------------------------------------------------------------------------- #---------------------- # PGROUTING installation files names have the following name #---------------------- if (PROJECT_DEBUG) message(STATUS "PROJECT_LIB_NAME ${PROJECT_LIB_NAME}") endif() add_library(${PROJECT_LIB_NAME} ${LIBRARY_MODE_TARGET} ${PROJECT_OBJECTS}) if(APPLE) set_target_properties(${PROJECT_LIB_NAME} PROPERTIES LINK_FLAGS "-bundle_loader ${POSTGRESQL_EXECUTABLE} -bundle") endif(APPLE) if(WIN32 AND MSVC) set_target_properties(${PROJECT_LIB_NAME} PROPERTIES PREFIX "lib") endif(WIN32 AND MSVC) #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- # sql subdirectory creates the files: # ${PROJECT_NAME_LOWER}--(version).sql # ${PROJECT_NAME_LOWER}--(oldVersion)--(version).sql #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- add_subdirectory(sql) if (PROJECT_DEBUG) message(STATUS "PROJECT_FILES_TO_INSTALL=${PROJECT_FILES_TO_INSTALL}") endif() #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- # INSTALLATION #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- install(TARGETS ${PROJECT_LIB_NAME} DESTINATION ${LIBRARY_INSTALL_PATH}) install(FILES ${PROJECT_FILES_TO_INSTALL} DESTINATION "${SHARE_DIR}" ) #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- # DOCUMENTATION #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- add_subdirectory(doxygen) add_subdirectory(doc) pgrouting-3.3.0/CODE_OF_CONDUCT.md000066400000000000000000000136531414350551100163410ustar00rootroot00000000000000Contributors to pgRouting are expected to act respectfully toward others in accordance with the [OSGeo's Code of Conduct](http://www.osgeo.org/code_of_conduct) Full transcription: # OSGeo Code of Conduct Version: 1.0 Date: May 2015 ## Introduction This code of conduct governs how we behave in any OSGeo forum or event and whenever we will be judged by our actions. We expect it to be honored by everyone who participates in the OSGeo community formally or informally, or claims any affiliation with the OSGeo Foundation. It applies to in-person events (such as conferences and related social events), IRC, public and private mailing lists, the issue tracker, the wiki, blogs, Twitter, and any other forums which the community uses for communication and interactions. This code is not exhaustive or complete. It serves to distill our common understanding of a collaborative, shared environment and goals. We expect it to be followed in spirit as much as in the letter, so that it can enrich all of us and the technical communities in which we participate. ## Diversity Statement OSGeo welcomes and encourages participation by everyone. We are committed to being a community that everyone feels good about joining, and we will always work to treat everyone well. No matter how you identify yourself or how others perceive you: we welcome you. Specific Guidelines We strive to: - Be open. We invite anyone to participate in our community. We preferably use public methods of communication for project-related messages, unless discussing something sensitive. This applies to messages for help or project-related support, too; not only is a public support request much more likely to result in an answer to a question, it also makes sure that any inadvertent mistakes made by people answering will be more easily detected and corrected. - Be empathetic, welcoming, friendly, and patient. We work together to resolve conflict, assume good intentions, and do our best to act in an empathetic fashion. We may all experience some frustration from time to time, but we do not allow frustration to turn into a personal attack. A community where people feel uncomfortable or threatened is not a productive one. Note that we have a multi-cultural, multi-lingual community and some of us are non-native speakers. We should be respectful when dealing with other community members as well as with people outside our community. - Be collaborative. Our work will be used by other people, and in turn we will depend on the work of others. When we make something for the benefit of OSGeo, we are willing to explain to others how it works, so that they can build on the work to make it even better. Any decision we make will affect users and colleagues, and we take those consequences seriously when making decisions. - Be inquisitive. Nobody knows everything! Asking questions early avoids many problems later, so questions are encouraged, though they may be directed to the appropriate forum. Those who are asked should be responsive and helpful, within the context of our shared goal of improving OSGeo. - Be careful in the words that we choose. Whether we are participating as professionals or volunteers, we value professionalism in all interactions, and take responsibility for our own speech. Be kind to others. Do not insult or put down other participants. - Be concise Keep in mind that what you write once will be read by hundreds of persons. Writing a short email means people can understand the conversation as efficiently as possible. Short emails should always strive to be empathetic, welcoming, friendly and patient. When a long explanation is necessary, consider adding a summary. Try to bring new ideas to a conversation so that each mail adds something unique to the thread, keeping in mind that the rest of the thread still contains the other messages with arguments that have already been made. Try to stay on topic, especially in discussions that are already fairly large. - Step down considerately. Members of every project come and go. When somebody leaves or disengages from the project they should tell people they are leaving and take the proper steps to ensure that others can pick up where they left off. In doing so, they should remain respectful of those who continue to participate in the project and should not misrepresent the project's goals or achievements. Likewise, community members should respect any individual's choice to leave the project. ## Anti-Harassment Harassment and other exclusionary behaviour are not acceptable. This includes, but is not limited to: - Personal insults or discriminatory jokes and language, especially those using racist or sexist terms. - Offensive comments, excessive or unnecessary profanity. - Intimidation, violent threats or demands. - Sustained disruption of sessions or events. - Stalking, harassing photography or recording. - Unwelcome physical contact or sexual attention. - Repeated harassment of others. In general, if someone asks you to stop, then stop. - Posting (or threatening to post) other people's personally identifying information ("doxing"). - Sharing private content, such as emails sent privately or non-publicly, or unlogged forums such as IRC channel history. - Advocating for, or encouraging, any of the above behaviour. ## Reporting Guidelines If you believe someone is breaking this code of conduct, you may reply to them, and point to this code of conduct. Such messages may be in public or in private, whatever is most appropriate. Assume good faith; it is more likely that participants are unaware of their bad behaviour than that they intentionally try to degrade the quality of the discussion. Should there be difficulties in dealing with the situation, you may report your concerns to event staff, a forum leader or the OSGeo Board. Serious or persistent offenders may be expelled from the event or forum by event organizers or forum leaders. pgrouting-3.3.0/CONTRIBUTING.md000066400000000000000000000043271414350551100157710ustar00rootroot00000000000000# How to contribute We are really glad you are reading this because we need volunteer developers to help with this project. If you have not already, come find us on [![Join the chat at https://gitter.im/pgRouting/pgrouting](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/pgRouting/pgrouting?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) or contact us via [mailing list](http://lists.osgeo.org/mailman/listinfo/pgrouting-dev). We want you to work on things you're excited about. Drop a message and if someone can assist you, will contact you back ASAP. Here are some important resources: * [pgRouting for Developers](https://docs.pgrouting.org/doxygen) has the internals C/C++ code information, * [Wish list on the wiki](https://github.com/pgRouting/pgrouting/wiki/GSoC-Ideas) is the foot view of what we think the community needs. * [Additional wish lst](https://github.com/pgRouting/pgrouting/issues?q=is%3Aopen+is%3Aissue+label%3A%22Functionality+Request%22). (TODO to move the information to the wiki wish list) * Participate in the [discussions](https://github.com/pgRouting/pgrouting/discussions). * Participate in fixing [Documentation](https://github.com/pgRouting/pgrouting/issues?q=is%3Aopen+is%3Aissue+label%3ADocumentation). * Find a bug? [Let us know](https://github.com/pgRouting/pgrouting/issues). ## Contribution agreement Any kind of contribution will automatically fall to the following Licences: * Code contribution: GNU General Public License v2.0 or later, * Directly by making an explicit pull request. * Indirectly by posting code on issues/wiki/gitter/mailng lists * Documentation contribution: * Creative Commons Attribution-Share Alike 3.0 ## Submitting changes Write a clear log message for your commits. One-line messages are fine for small changes, but bigger changes should have more information. Fill in the commit message template. ## Coding conventions Start reading our code and you'll get the hang of it. We optimize for readability. This is open source software. Consider the people who will read your code, and make it look nice for them. * We indent using four spaces (soft tabs) * We use cpplint for linting C/C++ code. Thanks, pgRouting team pgrouting-3.3.0/LICENSE000066400000000000000000000432541414350551100145470ustar00rootroot00000000000000 GNU GENERAL PUBLIC LICENSE Version 2, June 1991 Copyright (C) 1989, 1991 Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. Preamble The licenses for most software are designed to take away your freedom to share and change it. By contrast, the GNU General Public License is intended to guarantee your freedom to share and change free software--to make sure the software is free for all its users. This General Public License applies to most of the Free Software Foundation's software and to any other program whose authors commit to using it. (Some other Free Software Foundation software is covered by the GNU Lesser General Public License instead.) You can apply it to your programs, too. When we speak of free software, we are referring to freedom, not price. Our General Public Licenses are designed to make sure that you have the freedom to distribute copies of free software (and charge for this service if you wish), that you receive source code or can get it if you want it, that you can change the software or use pieces of it in new free programs; and that you know you can do these things. To protect your rights, we need to make restrictions that forbid anyone to deny you these rights or to ask you to surrender the rights. These restrictions translate to certain responsibilities for you if you distribute copies of the software, or if you modify it. For example, if you distribute copies of such a program, whether gratis or for a fee, you must give the recipients all the rights that you have. You must make sure that they, too, receive or can get the source code. And you must show them these terms so they know their rights. We protect your rights with two steps: (1) copyright the software, and (2) offer you this license which gives you legal permission to copy, distribute and/or modify the software. Also, for each author's protection and ours, we want to make certain that everyone understands that there is no warranty for this free software. If the software is modified by someone else and passed on, we want its recipients to know that what they have is not the original, so that any problems introduced by others will not reflect on the original authors' reputations. Finally, any free program is threatened constantly by software patents. We wish to avoid the danger that redistributors of a free program will individually obtain patent licenses, in effect making the program proprietary. To prevent this, we have made it clear that any patent must be licensed for everyone's free use or not licensed at all. The precise terms and conditions for copying, distribution and modification follow. GNU GENERAL PUBLIC LICENSE TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION 0. This License applies to any program or other work which contains a notice placed by the copyright holder saying it may be distributed under the terms of this General Public License. The "Program", below, refers to any such program or work, and a "work based on the Program" means either the Program or any derivative work under copyright law: that is to say, a work containing the Program or a portion of it, either verbatim or with modifications and/or translated into another language. (Hereinafter, translation is included without limitation in the term "modification".) Each licensee is addressed as "you". Activities other than copying, distribution and modification are not covered by this License; they are outside its scope. The act of running the Program is not restricted, and the output from the Program is covered only if its contents constitute a work based on the Program (independent of having been made by running the Program). Whether that is true depends on what the Program does. 1. You may copy and distribute verbatim copies of the Program's source code as you receive it, in any medium, provided that you conspicuously and appropriately publish on each copy an appropriate copyright notice and disclaimer of warranty; keep intact all the notices that refer to this License and to the absence of any warranty; and give any other recipients of the Program a copy of this License along with the Program. You may charge a fee for the physical act of transferring a copy, and you may at your option offer warranty protection in exchange for a fee. 2. You may modify your copy or copies of the Program or any portion of it, thus forming a work based on the Program, and copy and distribute such modifications or work under the terms of Section 1 above, provided that you also meet all of these conditions: a) You must cause the modified files to carry prominent notices stating that you changed the files and the date of any change. b) You must cause any work that you distribute or publish, that in whole or in part contains or is derived from the Program or any part thereof, to be licensed as a whole at no charge to all third parties under the terms of this License. c) If the modified program normally reads commands interactively when run, you must cause it, when started running for such interactive use in the most ordinary way, to print or display an announcement including an appropriate copyright notice and a notice that there is no warranty (or else, saying that you provide a warranty) and that users may redistribute the program under these conditions, and telling the user how to view a copy of this License. (Exception: if the Program itself is interactive but does not normally print such an announcement, your work based on the Program is not required to print an announcement.) These requirements apply to the modified work as a whole. If identifiable sections of that work are not derived from the Program, and can be reasonably considered independent and separate works in themselves, then this License, and its terms, do not apply to those sections when you distribute them as separate works. But when you distribute the same sections as part of a whole which is a work based on the Program, the distribution of the whole must be on the terms of this License, whose permissions for other licensees extend to the entire whole, and thus to each and every part regardless of who wrote it. Thus, it is not the intent of this section to claim rights or contest your rights to work written entirely by you; rather, the intent is to exercise the right to control the distribution of derivative or collective works based on the Program. In addition, mere aggregation of another work not based on the Program with the Program (or with a work based on the Program) on a volume of a storage or distribution medium does not bring the other work under the scope of this License. 3. You may copy and distribute the Program (or a work based on it, under Section 2) in object code or executable form under the terms of Sections 1 and 2 above provided that you also do one of the following: a) Accompany it with the complete corresponding machine-readable source code, which must be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange; or, b) Accompany it with a written offer, valid for at least three years, to give any third party, for a charge no more than your cost of physically performing source distribution, a complete machine-readable copy of the corresponding source code, to be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange; or, c) Accompany it with the information you received as to the offer to distribute corresponding source code. (This alternative is allowed only for noncommercial distribution and only if you received the program in object code or executable form with such an offer, in accord with Subsection b above.) The source code for a work means the preferred form of the work for making modifications to it. For an executable work, complete source code means all the source code for all modules it contains, plus any associated interface definition files, plus the scripts used to control compilation and installation of the executable. However, as a special exception, the source code distributed need not include anything that is normally distributed (in either source or binary form) with the major components (compiler, kernel, and so on) of the operating system on which the executable runs, unless that component itself accompanies the executable. If distribution of executable or object code is made by offering access to copy from a designated place, then offering equivalent access to copy the source code from the same place counts as distribution of the source code, even though third parties are not compelled to copy the source along with the object code. 4. You may not copy, modify, sublicense, or distribute the Program except as expressly provided under this License. Any attempt otherwise to copy, modify, sublicense or distribute the Program is void, and will automatically terminate your rights under this License. However, parties who have received copies, or rights, from you under this License will not have their licenses terminated so long as such parties remain in full compliance. 5. You are not required to accept this License, since you have not signed it. However, nothing else grants you permission to modify or distribute the Program or its derivative works. These actions are prohibited by law if you do not accept this License. Therefore, by modifying or distributing the Program (or any work based on the Program), you indicate your acceptance of this License to do so, and all its terms and conditions for copying, distributing or modifying the Program or works based on it. 6. Each time you redistribute the Program (or any work based on the Program), the recipient automatically receives a license from the original licensor to copy, distribute or modify the Program subject to these terms and conditions. You may not impose any further restrictions on the recipients' exercise of the rights granted herein. You are not responsible for enforcing compliance by third parties to this License. 7. If, as a consequence of a court judgment or allegation of patent infringement or for any other reason (not limited to patent issues), conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot distribute so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not distribute the Program at all. For example, if a patent license would not permit royalty-free redistribution of the Program by all those who receive copies directly or indirectly through you, then the only way you could satisfy both it and this License would be to refrain entirely from distribution of the Program. If any portion of this section is held invalid or unenforceable under any particular circumstance, the balance of the section is intended to apply and the section as a whole is intended to apply in other circumstances. It is not the purpose of this section to induce you to infringe any patents or other property right claims or to contest validity of any such claims; this section has the sole purpose of protecting the integrity of the free software distribution system, which is implemented by public license practices. Many people have made generous contributions to the wide range of software distributed through that system in reliance on consistent application of that system; it is up to the author/donor to decide if he or she is willing to distribute software through any other system and a licensee cannot impose that choice. This section is intended to make thoroughly clear what is believed to be a consequence of the rest of this License. 8. If the distribution and/or use of the Program is restricted in certain countries either by patents or by copyrighted interfaces, the original copyright holder who places the Program under this License may add an explicit geographical distribution limitation excluding those countries, so that distribution is permitted only in or among countries not thus excluded. In such case, this License incorporates the limitation as if written in the body of this License. 9. The Free Software Foundation may publish revised and/or new versions of the General Public License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns. Each version is given a distinguishing version number. If the Program specifies a version number of this License which applies to it and "any later version", you have the option of following the terms and conditions either of that version or of any later version published by the Free Software Foundation. If the Program does not specify a version number of this License, you may choose any version ever published by the Free Software Foundation. 10. If you wish to incorporate parts of the Program into other free programs whose distribution conditions are different, write to the author to ask for permission. For software which is copyrighted by the Free Software Foundation, write to the Free Software Foundation; we sometimes make exceptions for this. Our decision will be guided by the two goals of preserving the free status of all derivatives of our free software and of promoting the sharing and reuse of software generally. NO WARRANTY 11. BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 12. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. END OF TERMS AND CONDITIONS How to Apply These Terms to Your New Programs If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms. To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively convey the exclusion of warranty; and each file should have at least the "copyright" line and a pointer to where the full notice is found. Copyright (C) This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. Also add information on how to contact you by electronic and paper mail. If the program is interactive, make it output a short notice like this when it starts in an interactive mode: Gnomovision version 69, Copyright (C) year name of author Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, the commands you use may be called something other than `show w' and `show c'; they could even be mouse-clicks or menu items--whatever suits your program. You should also get your employer (if you work as a programmer) or your school, if any, to sign a "copyright disclaimer" for the program, if necessary. Here is a sample; alter the names: Yoyodyne, Inc., hereby disclaims all copyright interest in the program `Gnomovision' (which makes passes at compilers) written by James Hacker. , 1 April 1989 Ty Coon, President of Vice This General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License. pgrouting-3.3.0/NEWS000066400000000000000000001103111414350551100142260ustar00rootroot00000000000000pgRouting 3.3.0 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the [Git closed milestone for 3.3.0](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%203.3.0%22) on Github. **Issue fixes** * [#2057](https://github.com/pgRouting/pgrouting/issues/2057): trspViaEdges columns in different order * [#2087](https://github.com/pgRouting/pgrouting/issues/2087): pgr_extractVertices to proposed * [#2201](https://github.com/pgRouting/pgrouting/issues/2201): pgr_depthFirstSearch to proposed * [#2202](https://github.com/pgRouting/pgrouting/issues/2202): pgr_sequentialVertexColoring to proposed * [#2203](https://github.com/pgRouting/pgrouting/issues/2203): pgr_dijkstraNear and pgr_dijkstraNearCost to proposed **New experimental functions** * Coloring * pgr_edgeColoring **Experimental promoted to Proposed** * Dijkstra * pgr_dijkstraNear * pgr_dijkstraNear(Combinations) * pgr_dijkstraNear(Many to Many) * pgr_dijkstraNear(Many to One) * pgr_dijkstraNear(One to Many) * pgr_dijkstraNearCost * pgr_dijkstraNearCost(Combinations) * pgr_dijkstraNearCost(Many to Many) * pgr_dijkstraNearCost(Many to One) * pgr_dijkstraNearCost(One to Many) * Coloring * pgr_sequentialVertexColoring * Topology * pgr_extractVertices * Traversal * pgr_depthFirstSearch(Multiple vertices) * pgr_depthFirstSearch(Single vertex) pgRouting 3.2.2 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the [Git closed milestone for 3.2.2](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%203.2.2%22) on Github. **Issues** * [#2093](https://github.com/pgRouting/pgrouting/issues/2093): Compilation on Visual Studio * [#2189](https://github.com/pgRouting/pgrouting/issues/2189): Build error on RHEL 7 pgRouting 3.2.1 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the [Git closed milestone for 3.2.1](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%203.2.1%22) on Github. **Issue fixes** * [#1883](https://github.com/pgRouting/pgrouting/issues/1883): pgr_TSPEuclidean crashes connection on Windows * The solution is to use Boost::graph::metric_tsp_approx * To not break user's code the optional parameters related to the TSP Annaeling are ignored * The function with the annaeling optional parameters is deprecated pgRouting 3.2.0 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the [Git closed milestone for 3.2.0](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%203.2.0%22) on Github. **Build** * [#1850](https://github.com/pgRouting/pgrouting/issues/1850): Change Boost min version to 1.56 * Removing support for Boost v1.53, v1.54 & v1.55 **New experimental functions** * pgr_bellmanFord(Combinations) * pgr_binaryBreadthFirstSearch(Combinations) * pgr_bipartite * pgr_dagShortestPath(Combinations) * pgr_depthFirstSearch * Dijkstra Near * pgr_dijkstraNear * pgr_dijkstraNear(One to Many) * pgr_dijkstraNear(Many to One) * pgr_dijkstraNear(Many to Many) * pgr_dijkstraNear(Combinations) * pgr_dijkstraNearCost * pgr_dijkstraNearCost(One to Many) * pgr_dijkstraNearCost(Many to One) * pgr_dijkstraNearCost(Many to Many) * pgr_dijkstraNearCost(Combinations) * pgr_edwardMoore(Combinations) * pgr_isPlanar * pgr_lengauerTarjanDominatorTree * pgr_makeConnected * Flow * pgr_maxFlowMinCost(Combinations) * pgr_maxFlowMinCost_Cost(Combinations) * pgr_sequentialVertexColoring **New proposed functions** * Astar * pgr_aStar(Combinations) * pgr_aStarCost(Combinations) * Bidirectional Astar * pgr_bdAstar(Combinations) * pgr_bdAstarCost(Combinations) * Bidirectional Dijkstra * pgr_bdDijkstra(Combinations) * pgr_bdDijkstraCost(Combinations) * Flow * pgr_boykovKolmogorov(Combinations) * pgr_edgeDisjointPaths(Combinations) * pgr_edmondsKarp(Combinations) * pgr_maxFlow(Combinations) * pgr_pushRelabel(Combinations) * pgr_withPoints(Combinations) * pgr_withPointsCost(Combinations) pgRouting 3.1.4 Release Notes -------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.1.4 `_ on Github. **Issues fixes** * [#2189](https://github.com/pgRouting/pgrouting/issues/2189): Build error on RHEL 7 pgRouting 3.1.3 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the [Git closed milestone for 3.1.3](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%203.1.3%22) on Github. **Issues fixes** * [#1825](https://github.com/pgRouting/pgrouting/issues/1825): Boost versions are not honored * [#1849](https://github.com/pgRouting/pgrouting/issues/1849): Boost 1.75.0 geometry "point_xy.hpp" build error on macOS environment * [#1861](https://github.com/pgRouting/pgrouting/issues/1861): vrp functions crash server pgRouting 3.1.2 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the [Git closed milestone for 3.1.2](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%203.1.2%22) on Github. **Issues fixes** * [#1304](https://github.com/pgRouting/pgrouting/issues/1304): FreeBSD 12 64-bit crashes on pgr_vrOneDepot tests Experimental Function * [#1356](https://github.com/pgRouting/pgrouting/issues/1356): tools/testers/pg_prove_tests.sh fails when PostgreSQL port is not passed * [#1725](https://github.com/pgRouting/pgrouting/issues/1725): Server crash on pgr_pickDeliver and pgr_vrpOneDepot on openbsd * [#1760](https://github.com/pgRouting/pgrouting/issues/1760): TSP server crash on ubuntu 20.04 #1760 * [#1770](https://github.com/pgRouting/pgrouting/issues/1770): Remove warnings when using clang compiler pgRouting 3.1.1 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the [Git closed milestone for 3.1.1](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%203.1.1%22) on Github. **Issues fixes** * [#1733](https://github.com/pgRouting/pgrouting/issues/1733): pgr_bdAstar fails when source or target vertex does not exist in the graph * [#1647](https://github.com/pgRouting/pgrouting/issues/1647): Linear Contraction contracts self loops * [#1640](https://github.com/pgRouting/pgrouting/issues/1640): pgr_withPoints fails when points_sql is empty * [#1616](https://github.com/pgRouting/pgrouting/issues/1616): Path evaluation on C++ not updated before the results go back to C * [#1300](https://github.com/pgRouting/pgrouting/issues/1300): pgr_chinesePostman crash on test data pgRouting 3.1.0 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the [Git closed milestone for 3.1.0](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%203.1.0%22) on Github. **New proposed functions** * pgr_dijkstra(combinations) * pgr_dijkstraCost(combinations) **Build changes** * Minimal requirement for Sphinx: version 1.8 pgRouting 3.0.6 Release Notes -------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.0.6 `_ on Github. **Issues fixes** * [#2189](https://github.com/pgRouting/pgrouting/issues/2189): Build error on RHEL 7 pgRouting 3.0.5 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the [Git closed milestone for 3.0.5](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%203.0.5%22) on Github. **Backport issues fixes** * [#1825](https://github.com/pgRouting/pgrouting/issues/1825): Boost versions are not honored * [#1849](https://github.com/pgRouting/pgrouting/issues/1849): Boost 1.75.0 geometry "point_xy.hpp" build error on macOS environment * [#1861](https://github.com/pgRouting/pgrouting/issues/1861): vrp functions crash server pgRouting 3.0.4 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the [Git closed milestone for 3.0.4](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%203.0.4%22) on Github. **Backport issues fixes** * [#1304](https://github.com/pgRouting/pgrouting/issues/1304): FreeBSD 12 64-bit crashes on pgr_vrOneDepot tests Experimental Function * [#1356](https://github.com/pgRouting/pgrouting/issues/1356): tools/testers/pg_prove_tests.sh fails when PostgreSQL port is not passed * [#1725](https://github.com/pgRouting/pgrouting/issues/1725): Server crash on pgr_pickDeliver and pgr_vrpOneDepot on openbsd * [#1760](https://github.com/pgRouting/pgrouting/issues/1760): TSP server crash on ubuntu 20.04 #1760 * [#1770](https://github.com/pgRouting/pgrouting/issues/1770): Remove warnings when using clang compiler pgRouting 3.0.3 Release Notes ------------------------------------------------------------------------------- **Backport issues fixes** * [#1733](https://github.com/pgRouting/pgrouting/issues/1733): pgr_bdAstar fails when source or target vertex does not exist in the graph * [#1647](https://github.com/pgRouting/pgrouting/issues/1647): Linear Contraction contracts self loops * [#1640](https://github.com/pgRouting/pgrouting/issues/1640): pgr_withPoints fails when points_sql is empty * [#1616](https://github.com/pgRouting/pgrouting/issues/1616): Path evaluation on C++ not updated before the results go back to C * [#1300](https://github.com/pgRouting/pgrouting/issues/1300): pgr_chinesePostman crash on test data pgRouting 3.0.2 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the [Git closed milestone for 3.0.2](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%203.0.2%22) on Github. **Issues fixes** * [#1378](https://github.com/pgRouting/pgrouting/issues/1378): Visual Studio build failing pgRouting 3.0.1 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the [Git closed milestone for 3.0.1](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%203.0.1%22) on Github. **Issues fixes** * [#232](https://github.com/pgRouting/pgrouting/issues/232): Honor client cancel requests in C /C++ code pgRouting 3.0.0 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the [Git closed milestone for 3.0.0](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%203.0.0%22) on Github. **Fixed Issues** * [#1153](https://github.com/pgRouting/pgrouting/issues/1153): Renamed pgr_eucledianTSP to pgr_TSPeuclidean * [#1188](https://github.com/pgRouting/pgrouting/issues/1188): Removed CGAL dependency * [#1002](https://github.com/pgRouting/pgrouting/issues/1002): Fixed contraction issues: * [#1004](https://github.com/pgRouting/pgrouting/issues/1004): Contracts when forbidden vertices do not belong to graph * [#1005](https://github.com/pgRouting/pgrouting/issues/1005): Intermideate results eliminated * [#1006](https://github.com/pgRouting/pgrouting/issues/1006): No loss of information **New functions** * Kruskal family * pgr_kruskal * pgr_kruskalBFS * pgr_kruskalDD * pgr_kruskalDFS * Prim family * pgr_prim * pgr_primDD * pgr_primDFS * pgr_primBFS **Proposed moved to official on pgRouting** * aStar Family * pgr_aStar(one to many) * pgr_aStar(many to one) * pgr_aStar(many to many) * pgr_aStarCost(one to one) * pgr_aStarCost(one to many) * pgr_aStarCost(many to one) * pgr_aStarCost(many to many) * pgr_aStarCostMatrix(one to one) * pgr_aStarCostMatrix(one to many) * pgr_aStarCostMatrix(many to one) * pgr_aStarCostMatrix(many to many) * bdAstar Family * pgr_bdAstar(one to many) * pgr_bdAstar(many to one) * pgr_bdAstar(many to many) * pgr_bdAstarCost(one to one) * pgr_bdAstarCost(one to many) * pgr_bdAstarCost(many to one) * pgr_bdAstarCost(many to many) * pgr_bdAstarCostMatrix(one to one) * pgr_bdAstarCostMatrix(one to many) * pgr_bdAstarCostMatrix(many to one) * pgr_bdAstarCostMatrix(many to many) * bdDijkstra Family * pgr_bdDijkstra(one to many) * pgr_bdDijkstra(many to one) * pgr_bdDijkstra(many to many) * pgr_bdDijkstraCost(one to one) * pgr_bdDijkstraCost(one to many) * pgr_bdDijkstraCost(many to one) * pgr_bdDijkstraCost(many to many) * pgr_bdDijkstraCostMatrix(one to one) * pgr_bdDijkstraCostMatrix(one to many) * pgr_bdDijkstraCostMatrix(many to one) * pgr_bdDijkstraCostMatrix(many to many) * Flow Family * pgr_pushRelabel(one to one) * pgr_pushRelabel(one to many) * pgr_pushRelabel(many to one) * pgr_pushRelabel(many to many) * pgr_edmondsKarp(one to one) * pgr_edmondsKarp(one to many) * pgr_edmondsKarp(many to one) * pgr_edmondsKarp(many to many) * pgr_boykovKolmogorov (one to one) * pgr_boykovKolmogorov (one to many) * pgr_boykovKolmogorov (many to one) * pgr_boykovKolmogorov (many to many) * pgr_maxCardinalityMatching * pgr_maxFlow * pgr_edgeDisjointPaths(one to one) * pgr_edgeDisjointPaths(one to many) * pgr_edgeDisjointPaths(many to one) * pgr_edgeDisjointPaths(many to many) * Components family * pgr_connectedComponents * pgr_strongComponents * pgr_biconnectedComponents * pgr_articulationPoints * pgr_bridges * Contraction: * Removed unnecessary column seq * Bug Fixes **New Experimental functions** * pgr_maxFlowMinCost * pgr_maxFlowMinCost_Cost * pgr_extractVertices * pgr_turnRestrictedPath * pgr_stoerWagner * pgr_dagShortestpath * pgr_topologicalSort * pgr_transitiveClosure * VRP category * pgr_pickDeliverEuclidean * pgr_pickDeliver * Chinese Postman family * pgr_chinesePostman * pgr_chinesePostmanCost * Breadth First Search family * pgr_breadthFirstSearch * pgr_binaryBreadthFirstSearch * Bellman Ford family * pgr_bellmanFord * pgr_edwardMoore **Moved to legacy** * Experimental functions * pgr_labelGraph - Use the components family of functions instead. * Max flow - functions were renamed on v2.5.0 * pgr_maxFlowPushRelabel * pgr_maxFlowBoykovKolmogorov * pgr_maxFlowEdmondsKarp * pgr_maximumcardinalitymatching * VRP * pgr_gsoc_vrppdtw * TSP old signatures * pgr_pointsAsPolygon * pgr_alphaShape old signature pgRouting 2.6.3 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed milestone for 2.6.3](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%202.6.3%22%20) on Github. **Bug fixes** * [#1219](https://github.com/pgRouting/pgrouting/pull/1219) Implicit cast for via_path integer to text * [#1193](https://github.com/pgRouting/pgrouting/pull/1193) Fixed pgr_pointsAsPolygon breaking when comparing strings in WHERE clause * [#1185](https://github.com/pgRouting/pgrouting/pull/1185) Improve FindPostgreSQL.cmake pgRouting 2.6.2 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed milestone for 2.6.2](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%202.6.2%22%20) on Github. **Bug fixes** * [#1152](https://github.com/pgRouting/pgrouting/issues/1152) Fixes driving distance when vertex is not part of the graph * [#1098](https://github.com/pgRouting/pgrouting/issues/1098) Fixes windows test * [#1165](https://github.com/pgRouting/pgrouting/issues/1165) Fixes build for python3 and perl5 pgRouting 2.6.1 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed milestone for 2.6.1](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%202.6.1%22%20) on Github. * Fixes server crash on several functions. * pgr_floydWarshall * pgr_johnson * pgr_astar * pgr_bdAstar * pgr_bdDijstra * pgr_alphashape * pgr_dijkstraCostMatrix * pgr_dijkstra * pgr_dijkstraCost * pgr_drivingDistance * pgr_KSP * pgr_dijkstraVia (proposed) * pgr_boykovKolmogorov (proposed) * pgr_edgeDisjointPaths (proposed) * pgr_edmondsKarp (proposed) * pgr_maxCardinalityMatch (proposed) * pgr_maxFlow (proposed) * pgr_withPoints (proposed) * pgr_withPointsCost (proposed) * pgr_withPointsKSP (proposed) * pgr_withPointsDD (proposed) * pgr_withPointsCostMatrix (proposed) * pgr_contractGraph (experimental) * pgr_pushRelabel (experimental) * pgr_vrpOneDepot (experimental) * pgr_gsoc_vrppdtw (experimental) * Fixes for deprecated functions where also applied but not tested * Removed compilation warning for g++8 * Fixed a fallthrugh on Astar and bdAstar. pgRouting 2.6.0 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed milestone for 2.6.0](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%202.6.0%22%20) on Github. **New experimental functions** * pgr_lineGraphFull **Bug fixes** * Fix pgr_trsp(text,integer,double precision,integer,double precision,boolean,boolean[,text]) * without restrictions * calls pgr_dijkstra when both end points have a fraction IN (0,1) * calls pgr_withPoints when at least one fraction NOT IN (0,1) * with restrictions * calls original trsp code **Internal code** * Cleaned the internal code of trsp(text,integer,integer,boolean,boolean [, text]) * Removed the use of pointers * Internal code can accept BIGINT * Cleaned the internal code of withPoints pgRouting 2.5.5 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed milestone for 2.5.5](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%202.5.5%22%20) on Github. **Bug fixes** * Fixes driving distance when vertex is not part of the graph * Fixes windows test * Fixes build for python3 and perl5 pgRouting 2.5.4 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed milestone for 2.5.4](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%202.5.4%22%20) on Github. * Fixes server crash on several functions. * pgr_floydWarshall * pgr_johnson * pgr_astar * pgr_bdAstar * pgr_bdDijstra * pgr_alphashape * pgr_dijkstraCostMatrix * pgr_dijkstra * pgr_dijkstraCost * pgr_drivingDistance * pgr_KSP * pgr_dijkstraVia (proposed) * pgr_boykovKolmogorov (proposed) * pgr_edgeDisjointPaths (proposed) * pgr_edmondsKarp (proposed) * pgr_maxCardinalityMatch (proposed) * pgr_maxFlow (proposed) * pgr_withPoints (proposed) * pgr_withPointsCost (proposed) * pgr_withPointsKSP (proposed) * pgr_withPointsDD (proposed) * pgr_withPointsCostMatrix (proposed) * pgr_contractGraph (experimental) * pgr_pushRelabel (experimental) * pgr_vrpOneDepot (experimental) * pgr_gsoc_vrppdtw (experimental) * Fixes for deprecated functions where also applied but not tested * Removed compilation warning for g++8 * Fixed a fallthrugh on Astar and bdAstar. pgRouting 2.5.3 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed milestone for 2.5.3](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%202.5.3%22%20) on Github. **Bug fixes** * Fix for postgresql 11: Removed a compilation error when compiling with postgreSQL pgRouting 2.5.2 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed milestone for 2.5.2](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%202.5.2%22%20) on Github. **Bug fixes** * Fix for postgresql 10.1: Removed a compiler condition pgRouting 2.5.1 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed milestone for 2.5.1](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%202.5.1%22%20) on Github. **Bug fixes** * Fixed prerequisite minimum version of: cmake pgRouting 2.5.0 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed issues for 2.5.0](https://github.com/pgRouting/pgrouting/issues?q=milestone%3A%22Release+2.5.0%22+is%3Aclosed) on Github. **enhancement:** * pgr_version is now on SQL language **Breaking change on:** * pgr_edgeDisjointPaths: * Added path_id, cost and agg_cost columns on the result * Parameter names changed * The many version results are the union of the one to one version **New Signatures:** * pgr_bdAstar(one to one) **New Proposed functions** * pgr_bdAstar(one to many) * pgr_bdAstar(many to one) * pgr_bdAstar(many to many) * pgr_bdAstarCost(one to one) * pgr_bdAstarCost(one to many) * pgr_bdAstarCost(many to one) * pgr_bdAstarCost(many to many) * pgr_bdAstarCostMatrix * pgr_bdDijkstra(one to many) * pgr_bdDijkstra(many to one) * pgr_bdDijkstra(many to many) * pgr_bdDijkstraCost(one to one) * pgr_bdDijkstraCost(one to many) * pgr_bdDijkstraCost(many to one) * pgr_bdDijkstraCost(many to many) * pgr_bdDijkstraCostMatrix * pgr_lineGraph * pgr_lineGraphFull * pgr_connectedComponents * pgr_strongComponents * pgr_biconnectedComponents * pgr_articulationPoints * pgr_bridges **Deprecated Signatures** * pgr_bdastar - use pgr_bdAstar instead **Renamed Functions** * pgr_maxFlowPushRelabel - use pgr_pushRelabel instead * pgr_maxFlowEdmondsKarp -use pgr_edmondsKarp instead * pgr_maxFlowBoykovKolmogorov - use pgr_boykovKolmogorov instead * pgr_maximumCardinalityMatching - use pgr_maxCardinalityMatch instead **Deprecated function** * pgr_pointToEdgeNode pgRouting 2.4.2 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed milestone for 2.4.2](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%202.4.2%22%20) on Github. **Improvement** * Works for postgreSQL 10 **Bug fixes** * Fixed: Unexpected error column "cname" * Replace __linux__ with __GLIBC__ for glibc-specific headers and functions pgRouting 2.4.1 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed milestone for 2.4.1](https://github.com/pgRouting/pgrouting/issues?utf8=%E2%9C%93&q=milestone%3A%22Release%202.4.1%22%20) on Github. **Bug fixes** * Fixed compiling error on macOS * Condition error on pgr_withPoints pgRouting 2.4.0 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed issues for 2.4.0](https://github.com/pgRouting/pgrouting/issues?q=milestone%3A%22Release+2.4.0%22+is%3Aclosed) on Github. **New Signatures** * pgr_bdDijkstra **New Proposed Signatures** * pgr_maxFlow * pgr_astar(one to many) * pgr_astar(many to one) * pgr_astar(many to many) * pgr_astarCost(one to one) * pgr_astarCost(one to many) * pgr_astarCost(many to one) * pgr_astarCost(many to many) * pgr_astarCostMatrix **Deprecated Signatures** * pgr_bddijkstra - use pgr_bdDijkstra instead **Deprecated Functions** * pgr_pointsToVids **Bug fixes** * Bug fixes on proposed functions * pgr_withPointsKSP: fixed ordering * TRSP original code is used with no changes on the compilation warnings pgRouting 2.3.2 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed issues for 2.3.2](https://github.com/pgRouting/pgrouting/issues?q=milestone%3A%22Release+2.3.2%22+is%3Aclosed) on Github. **Bug Fixes** * Fixed pgr_gsoc_vrppdtw crash when all orders fit on one truck. * Fixed pgr_trsp: * Alternate code is not executed when the point is in reality a vertex * Fixed ambiguity on seq pgRouting 2.3.1 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed issues for 2.3.1](https://github.com/pgRouting/pgrouting/issues?q=milestone%3A%22Release+2.3.1%22+is%3Aclosed) on Github. **Bug Fixes** * Leaks on proposed max_flow functions * Regression error on pgr_trsp * Types discrepancy on pgr_createVerticesTable pgRouting 2.3.0 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed issues for 2.3.0](https://github.com/pgRouting/pgrouting/issues?q=milestone%3A%22Release+2.3.0%22+is%3Aclosed) on Github. **New Signatures** * pgr_TSP * pgr_aStar **New Functions** * pgr_eucledianTSP **New Proposed functions** * pgr_dijkstraCostMatrix * pgr_withPointsCostMatrix * pgr_maxFlowPushRelabel(one to one) * pgr_maxFlowPushRelabel(one to many) * pgr_maxFlowPushRelabel(many to one) * pgr_maxFlowPushRelabel(many to many) * pgr_maxFlowEdmondsKarp(one to one) * pgr_maxFlowEdmondsKarp(one to many) * pgr_maxFlowEdmondsKarp(many to one) * pgr_maxFlowEdmondsKarp(many to many) * pgr_maxFlowBoykovKolmogorov (one to one) * pgr_maxFlowBoykovKolmogorov (one to many) * pgr_maxFlowBoykovKolmogorov (many to one) * pgr_maxFlowBoykovKolmogorov (many to many) * pgr_maximumCardinalityMatching * pgr_edgeDisjointPaths(one to one) * pgr_edgeDisjointPaths(one to many) * pgr_edgeDisjointPaths(many to one) * pgr_edgeDisjointPaths(many to many) * pgr_contractGraph **Deprecated Signatures** * pgr_tsp - use pgr_TSP or pgr_eucledianTSP instead * pgr_astar - use pgr_aStar instead **Deprecated Functions** * pgr_flip_edges * pgr_vidsToDmatrix * pgr_pointsToDMatrix * pgr_textToPoints pgRouting 2.2.4 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed issues for 2.2.4](https://github.com/pgRouting/pgrouting/issues?q=milestone%3A%22Release+2.2.4%22+is%3Aclosed) on Github. **Bug Fixes** * Bogus uses of extern "C" * Build error on Fedora 24 + GCC 6.0 * Regression error pgr_nodeNetwork pgRouting 2.2.3 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed issues for 2.2.3](https://github.com/pgRouting/pgrouting/issues?q=milestone%3A%22Release+2.2.3%22+is%3Aclosed) on Github. **Bug Fixes** * Fixed compatibility issues with PostgreSQL 9.6. pgRouting 2.2.2 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed issues for 2.2.2](https://github.com/pgRouting/pgrouting/issues?q=milestone%3A%22Release+2.2.2%22+is%3Aclosed) on Github. **Bug Fixes** * Fixed regression error on pgr_drivingDistance pgRouting 2.2.1 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed issues for 2.2.1](https://github.com/pgRouting/pgrouting/issues?q=milestone%3A2.2.1+is%3Aclosed) on Github. **Bug Fixes** * Server crash fix on pgr_alphaShape * Bug fix on With Points family of functions pgRouting 2.2.0 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed issues for 2.2.0](https://github.com/pgRouting/pgrouting/issues?q=milestone%3A%22Release+2.2.0%22+is%3Aclosed) on Github. **Improvements** - pgr_nodeNetwork - Adding a row_where and outall optional parameters - Signature fix - pgr_dijkstra -- to match what is documented **New Functions** - pgr_floydWarshall - pgr_Johnson - pgr_dijkstraCost(one to one) - pgr_dijkstraCost(one to many) - pgr_dijkstraCost(many to one) - pgr_dijkstraCost(many to many) **Proposed functionality** - pgr_withPoints(one to one) - pgr_withPoints(one to many) - pgr_withPoints(many to one) - pgr_withPoints(many to many) - pgr_withPointsCost(one to one) - pgr_withPointsCost(one to many) - pgr_withPointsCost(many to one) - pgr_withPointsCost(many to many) - pgr_withPointsDD(single vertex) - pgr_withPointsDD(multiple vertices) - pgr_withPointsKSP - pgr_dijkstraVia **Deprecated functions:** - pgr_apspWarshall use pgr_floydWarshall instead - pgr_apspJohnson use pgr_Johnson instead - pgr_kDijkstraCost use pgr_dijkstraCost instead - pgr_kDijkstraPath use pgr_dijkstra instead **Renamed and deprecated function** - pgr_makeDistanceMatrix renamed to _pgr_makeDistanceMatrix pgRouting 2.1.0 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed issues for 2.1.0](https://github.com/pgRouting/pgrouting/issues?q=is%3Aissue+milestone%3A%22Release+2.1.0%22+is%3Aclosed) on Github. **New Signatures** - pgr_dijkstra(one to many) - pgr_dijkstra(many to one) - pgr_dijkstra(many to many) - pgr_drivingDistance(multiple vertices) **Refactored** - pgr_dijkstra(one to one) - pgr_ksp - pgr_drivingDistance(single vertex) **Improvements** - pgr_alphaShape function now can generate better (multi)polygon with holes and alpha parameter. **Proposed functionality** - Proposed functions from Steve Woodbridge, (Classified as Convenience by the author.) - pgr_pointToEdgeNode - convert a point geometry to a vertex_id based on closest edge. - pgr_flipEdges - flip the edges in an array of geometries so the connect end to end. - pgr_textToPoints - convert a string of x,y;x,y;... locations into point geometries. - pgr_pointsToVids - convert an array of point geometries into vertex ids. - pgr_pointsToDMatrix - Create a distance matrix from an array of points. - pgr_vidsToDMatrix - Create a distance matrix from an array of vertix_id. - pgr_vidsToDMatrix - Create a distance matrix from an array of vertix_id. - Added proposed functions from GSoc Projects: - pgr_vrppdtw - pgr_vrponedepot **Deprecated functions** - pgr_getColumnName - pgr_getTableName - pgr_isColumnCndexed - pgr_isColumnInTable - pgr_quote_ident - pgr_versionless - pgr_startPoint - pgr_endPoint - pgr_pointToId **No longer supported** - Removed the 1.x legacy functions **Bug Fixes** - Some bug fixes in other functions **Refactoring Internal Code** - A C and C++ library for developer was created - encapsulates postgreSQL related functions - encapsulates Boost.Graph graphs - Directed Boost.Graph - Undirected Boost.graph. - allow any-integer in the id's - allow any-numerical on the cost/reverse_cost columns - Instead of generating many libraries: - All functions are encapsulated in one library - The library has the prefix 2-1-0 pgRouting 2.0.1 Release Notes ------------------------------------------------------------------------------- Minor bug fixes. **Bug Fixes** * No track of the bug fixes were kept. pgRouting 2.0.0 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed issues for 2.0.0](https://github.com/pgRouting/pgrouting/issues?q=milestone%3A%22Release+2.0.0%22+is%3Aclosed) on Github. With the release of pgRouting 2.0.0 the library has abandoned backwards compatibility to `pgRouting 1.x Release Notes`_ releases. The main Goals for this release are: * Major restructuring of pgRouting. * Standardization of the function naming * Preparation of the project for future development. As a result of this effort: * pgRouting has a simplified structure * Significant new functionality has being added * Documentation has being integrated * Testing has being integrated * And made it easier for multiple developers to make contributions. **Important Changes** * Graph Analytics - tools for detecting and fixing connection some problems in a graph * A collection of useful utility functions * Two new All Pairs Short Path algorithms (pgr_apspJohnson, pgr_apspWarshall) * Bi-directional Dijkstra and A-star search algorithms (pgr_bdAstar, pgr_bdDijkstra) * One to many nodes search (pgr_kDijkstra) * K alternate paths shortest path (pgr_ksp) * New TSP solver that simplifies the code and the build process (pgr_tsp), dropped "Gaul Library" dependency * Turn Restricted shortest path (pgr_trsp) that replaces Shooting Star * Dropped support for Shooting Star * Built a test infrastructure that is run before major code changes are checked in * Tested and fixed most all of the outstanding bugs reported against 1.x that existing in the 2.0-dev code base. * Improved build process for Windows * Automated testing on Linux and Windows platforms trigger by every commit * Modular library design * Compatibility with PostgreSQL 9.1 or newer * Compatibility with PostGIS 2.0 or newer * Installs as PostgreSQL EXTENSION * Return types re factored and unified * Support for table SCHEMA in function parameters * Support for ``st_`` PostGIS function prefix * Added ``pgr_`` prefix to functions and types * Better documentation: https://docs.pgrouting.org * shooting_star is discontinued pgRouting 1.x Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the [Git closed issues for 1.x](https://github.com/pgRouting/pgrouting/issues?q=milestone%3A%22Release+1.x%22+is%3Aclosed) on Github. The following release notes have been copied from the previous ``RELEASE_NOTES`` file and are kept as a reference. Changes for release 1.05 ............................................................................... * Bug fixes Changes for release 1.03 ............................................................................... * Much faster topology creation * Bug fixes Changes for release 1.02 ............................................................................... * Shooting* bug fixes * Compilation problems solved Changes for release 1.01 ............................................................................... * Shooting* bug fixes Changes for release 1.0 ............................................................................... * Core and extra functions are separated * Cmake build process * Bug fixes Changes for release 1.0.0b ............................................................................... * Additional SQL file with more simple names for wrapper functions * Bug fixes Changes for release 1.0.0a ............................................................................... * Shooting* shortest path algorithm for real road networks * Several SQL bugs were fixed Changes for release 0.9.9 ............................................................................... * PostgreSQL 8.2 support * Shortest path functions return empty result if they could not find any path Changes for release 0.9.8 ............................................................................... * Renumbering scheme was added to shortest path functions * Directed shortest path functions were added * routing_postgis.sql was modified to use dijkstra in TSP search pgrouting-3.3.0/README.md000066400000000000000000000046671414350551100150260ustar00rootroot00000000000000# pgRouting - Routing on PostgreSQL [![Join the chat at https://gitter.im/pgRouting/pgrouting](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/pgRouting/pgrouting?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) ## Branches * The *master* branch has the development of the next micro release * The *develop* branch has the development of the next minor/major release For the complete list of releases go to: https://github.com/pgRouting/pgrouting/releases ## LINKS * https://pgrouting.org/ * https://docs.pgrouting.org/ * https://github.com/pgRouting/pgrouting ## STATUS Status of the project can be found [here](https://github.com/pgRouting/pgrouting/wiki#status) ## INTRODUCTION pgRouting extends the PostGIS/PostgreSQL geospatial database to provide geospatial routing and other network analysis functionality. This library contains the following features: * All Pairs Shortest Path Algorithms * A-star algorithm * Bi-directional algorithms * A variety of applications of Dijkstra algorithms * Cost functions * With points * Driving Distance * With points * Yen's algorithm * Traveling Sales Person (TSP) and many more. The latest documentation: http://docs.pgrouting.org/latest ## REQUIREMENTS ### Building requirements * perl * C and C++ compilers * Compiling with Boost 1.56 up to Boost 1.74 requires C++ Compiler with C++03 or C++11 standard support * Compiling with Boost 1.75 requires C++ Compiler with C++14 standard support * Postgresql = Supported version by PostgreSQL * The Boost Graph Library (BGL) >= 1.56 * CMake >= 3.2 * Sphinx >= 4.0.0 ### User's requirements * PostGIS ## COMPILATION For MinGW on Windows mkdir build cd build cmake -G"MSYS Makefiles" .. make make install Also pre-built Windows binaries can be downloaded from https://postgis.net/windows_downloads For Linux mkdir build cd build cmake .. make sudo make install Build with documentation (requires [Sphinx](http://sphinx-doc.org/)) cmake -DWITH_DOC=ON .. Postgresql createdb mydatabase psql mydatabase -c "CREATE EXTENSION pgrouting CASCADE" ## USAGE See online documentation: http://docs.pgrouting.org/latest/en/index.html ## LICENSE * Most features are available under [GPL-2.0-or-later](https://spdx.org/licenses/GPL-2.0-or-later.html) * Some Boost extensions are available under Boost license (see LICENSE_1_0.txt) * Some code contributed by iMaptools.com is available under MIT-X license. pgrouting-3.3.0/ci/000077500000000000000000000000001414350551100141255ustar00rootroot00000000000000pgrouting-3.3.0/ci/bessie/000077500000000000000000000000001414350551100153775ustar00rootroot00000000000000pgrouting-3.3.0/ci/bessie/regress.sh000066400000000000000000000012631414350551100174070ustar00rootroot00000000000000#!/bin/sh #-- # Jenkins variables passed in #-- # # export BRANCH=develop export PGROUTING_VER=$BRANCH #------------------------- # File used in Jenkins setup #------------------------- export PATH=${PATH}:/usr/local::/usr/local/lib::/usr/local/bin echo "$PATH" export PGUSER=postgres export PGROUTING_VER=$BRANCH rm -rf "${WORKSPACE}/build${BRANCH}" mkdir "${WORKSPACE}/build${BRANCH}" cmake --version cd "../build${BRANCH}" || exit 1 cmake "../${BRANCH}" make sudo make install cd "../${BRANCH}" || exit 1 perl tools/testers/doc_queries_generator.pl psql -c "CREATE DATABASE ___pgr___test___" bash tools/testers/pg_prove_tests.sh "${PGUSER}" psql -c "DROP DATABASE ___pgr___test___" pgrouting-3.3.0/ci/bessie32/000077500000000000000000000000001414350551100155445ustar00rootroot00000000000000pgrouting-3.3.0/ci/bessie32/regress.sh000066400000000000000000000012631414350551100175540ustar00rootroot00000000000000#!/bin/sh #-- # Jenkins variables passed in #-- # # export BRANCH=develop export PGROUTING_VER=$BRANCH #------------------------- # File used in Jenkins setup #------------------------- export PATH=${PATH}:/usr/local::/usr/local/lib::/usr/local/bin echo "$PATH" export PGUSER=postgres export PGROUTING_VER=$BRANCH rm -rf "${WORKSPACE}/build${BRANCH}" mkdir "${WORKSPACE}/build${BRANCH}" cmake --version cd "../build${BRANCH}" || exit 1 cmake "../${BRANCH}" make sudo make install cd "../${BRANCH}" || exit 1 perl tools/testers/doc_queries_generator.pl psql -c "CREATE DATABASE ___pgr___test___" bash tools/testers/pg_prove_tests.sh "${PGUSER}" psql -c "DROP DATABASE ___pgr___test___" pgrouting-3.3.0/ci/debbie/000077500000000000000000000000001414350551100153375ustar00rootroot00000000000000pgrouting-3.3.0/ci/debbie/regress.sh000066400000000000000000000042041414350551100173450ustar00rootroot00000000000000#!/bin/bash #-- # Jenkins variables passed in #-- # # export BRANCH=develop export PGROUTING_VER=$BRANCH export OS_BUILD=64 export PG_VER=11 export PGSQL_VERSION=110 export PGPORT=5411 export GEOS_VER=3.8 export GDAL_VER=2.3 export PROJECTS=${JENKINS_HOME}/workspace export PGPATH=${PROJECTS}/pg/rel/pg${PG_VER}w${OS_BUILD} export PGDATA=${PGPATH}/data_${PGPORT} export PGDATABASE=postgres export PGUSER=postgres export LD_LIBRARY_PATH="${PROJECTS}/gdal/rel-${GDAL_VER}w${OS_BUILD}/lib:${PROJECTS}/geos/rel-${GEOS_VER}w${OS_BUILD}/lib:${PGPATH}/lib" export PATH="${PATH}:${PGPATH}/bin:${PGPATH}/lib:${PGPATH}/include" export POSTGIS_VER=3.1.0dev #--- # start the pg sever # -- export PGLOCALEDIR=${PGPATH}/share/locale DAEMON=${PGPATH}/bin/postmaster PGSTARTLOG=${PGDATA}/start_log.log echo "${DAEMON}" #initialize the database "${PGPATH}"/bin/initdb -U postgres -D "${PGDATA}" -A trust # check to see if pg is already running state=$("${PGPATH}"/bin/pg_ctl status -D "${PGDATA}" -l "${PGDATA}"/logfile | grep "server is running") # start pg if not running if [ "0" == "0$state" ]; then "${PGPATH}/bin/pg_ctl" start -D "${PGDATA}" -l "${PGDATA}/logfile" >> "${PGSTARTLOG}" 2>&1 fi echo "ok" #-- # end start pg server # #------------------------- # File used in Jenkins setup #------------------------- echo "$PATH" export PGUSER=postgres export PGROUTING_VER="$BRANCH" rm -rf "${WORKSPACE}/build${BRANCH}" mkdir "${WORKSPACE}/build${BRANCH}" cmake --version cd ../build"${BRANCH}" || exit 1 cmake "../${BRANCH}" make make install cd ../"${BRANCH}" || exit 1 PERL5LIB=$(pwd) export PERL5LIB perl tools/testers/doc_queries_generator.pl -pgisver "${POSTGIS_VER}" -pgport "${PGPORT}" #pgTap tests disable for now until we have installed if false; then psql -c "CREATE DATABASE ___pgr___test___" tools/testers/pg_prove_tests.sh "${PGUSER}" psql -c "DROP DATABASE ___pgr___test___" fi #stop the postgres server state=$("${PGPATH}"/bin/pg_ctl status -D "${PGDATA}" -l "${PGPATH}"/data/logfile | grep "server is running") echo "${state}" if [ "0" != "0$state" ]; then "${PGPATH}"/bin/pg_ctl stop -D "${PGDATA}" -l logfile -m fast rm -rf "${PGDATA}" fi echo "done" pgrouting-3.3.0/ci/winnie/000077500000000000000000000000001414350551100154165ustar00rootroot00000000000000pgrouting-3.3.0/ci/winnie/build_pgrouting.sh000066400000000000000000000144661414350551100211620ustar00rootroot00000000000000#!/bin/sh.exe #------------------------- # File used in Jenkis setup #------------------------- JENKINS_DEBUG=1 #----------------- # variables setup # Variables recived by jenkins setup #----------------- #export OS_BUILD= #export PG_VER= #export PGHOST= #export PGPORT= #export PGROUTING_VER= #export POSTIGS_VER= #GCC_TYPE= #export GIT_COMMIT= if [ $JENKINS_DEBUG -eq 1 ] then #--------------- echo echo "***************************" echo Recived variables echo "**************************" #--------------- echo "OS_BUILD ${OS_BUILD}" echo "PG_VER ${PG_VER}" echo "PGHOST ${PGHOST}" echo "PGPORT ${PGPORT}" echo "PGROUTING_VER ${PGROUTING_VER}" echo "POSTGIS_VER ${POSTGIS_VER}" echo "GCC_TYPE ${GCC_TYPE}" echo "GIT_COMMIT ${GIT_COMMIT}" fi #--------------- echo echo "***************************" echo Deduced variables echo "***************************" #--------------- export PGUSER=postgres export PROJECTS=/projects export PGPATHEDB=${PROJECTS}/postgresql/rel/pg${PG_VER}w${OS_BUILD}${GCC_TYPE}edb #this is so winnie know's where to copy the dlls for vc++ edb compiled postgresql testing export PGPATH=${PROJECTS}/postgresql/rel/pg${PG_VER}w${OS_BUILD}${GCC_TYPE} export PATHOLD=$PATH #export PATHOLD="/mingw/bin:/mingw/include:/c/Windows/system32:/c/Windows" export PGWINVER=${PG_VER}w${OS_BUILD}${GCC_TYPE}edb export PATH="${PATHOLD}:/usr/bin:${PGPATH}/bin:${PGPATH}/lib:${PGPATH}/include" export PATH="${PROJECTS}/rel-libiconv-1.13.1w${OS_BUILD}${GCC_TYPE}/include:${PATH}" if [ $JENKINS_DEBUG -eq 1 ] then echo "PGUSER ${PGUSER}" echo "PROJECTS ${PROJECTS}" echo "PGPATHEDB ${PGPATHEDB}" echo "PGPATH ${PGPATH}" echo "PATHOLD ${PATHOLD}" echo "PGWINVER ${PGWINVER}" echo "PATH ${PATH}" fi BOOST_VER=1.59.0 BOOST_VER_WU=1_59_0 BOOST_VER_WUM=1_59 ZLIB_VER=1.2.8 echo "${BOOST_VER}" if [ $JENKINS_DEBUG -eq 1 ] then echo "BOOST_VER_WU ${BOOST_VER_WU}" echo "BOOST_VER_WUM ${BOOST_VER_WUM}" echo "ZLIB_VER ${ZLIB_VER}" fi #zlib ZLIB_PATH="${PROJECTS}/zlib/rel-${ZLIB_VER}w${OS_BUILD}${GCC_TYPE}" PATH="${PATH}:${ZLIB_PATH}/include:${ZLIB_PATH}/lib:${ZLIB_PATH}/bin" #boost BOOSTROOT_PATH="${PROJECTS}/boost/rel-${BOOST_VER_WU}w${OS_BUILD}${GCC_TYPE}" PATH="${PATH}:${BOOSTROOT_PATH}/lib" #cmake export PATH="${PATH}:/cmake/bin" export PATH="${PATH}:.:/bin:/include" cmake --version echo "PATH ${PATH}" cd "${PROJECTS}/pgrouting" || exit 1 rm -rf "build${PGROUTING_VER}w${OS_BUILD}${GCC_TYPE}" mkdir "build${PGROUTING_VER}w${OS_BUILD}${GCC_TYPE}" cd "build${PGROUTING_VER}w${OS_BUILD}${GCC_TYPE}" || exit 1 #--------------- echo echo "***************************" echo "Current contents of PGPATH ${PGPATH}" echo "***************************" #--------------- ls "${PGPATH}/lib/libpgrouting*" ls "${PGPATH}/share/extension/pgrouting*" #--------------- echo echo "***************************" echo "Current contents of PGPATHEDB ${PGPATHEDB}" echo "***************************" #--------------- ls "${PGPATHEDB}/lib/libpgrouting*" ls "${PGPATHEDB}/share/extension/pgrouting*" rm "${PGPATH}/lib/libpgrouting*" rm "${PGPATH}/share/extension/pgrouting*" rm "${PGPATHEDB}/lib/libpgrouting*" rm "${PGPATHEDB}/share/extension/pgrouting*" #--------------- echo echo "***************************" echo "After removing in PGPATH ${PGPATH}" echo "***************************" #--------------- ls "${PGPATH}"/lib/libpgrouting* ls "${PGPATH}"/share/extension/pgrouting* #--------------- echo echo "***************************" echo "After removing in PGPATHEDB ${PGPATHEDB}" echo "***************************" #--------------- ls "${PGPATHEDB}"/lib/libpgrouting* ls "${PGPATHEDB}"/share/extension/pgrouting* cmake --version cmake -G "MSYS Makefiles" -DCMAKE_VERBOSE_MAKEFILE=ON \ -DBOOST_ROOT:PATH="${BOOSTROOT_PATH}" \ -DBoost_USE_STATIC_LIBS=ON \ -DBoost_USE_MULTITHREADED=ON \ -DCMAKE_BUILD_TYPE=Release \ "../branches/${PGROUTING_VER}" #--------------- echo echo "***************************" echo make echo "***************************" #--------------- make #--------------- echo echo "***************************" echo make install echo "***************************" #--------------- make install #--------------- echo echo "***************************" echo "Current contents of PGPATH ${PGPATH}" echo "***************************" #--------------- ls "${PGPATH}/lib/libpgrouting*" ls "${PGPATH}/share/extension/pgrouting*" #--------------- echo echo "***************************" echo "Current contents of PGPATHEDB ${PGPATHEDB}" echo Should be empty echo "***************************" #--------------- ls "${PGPATHEDB}"/lib/libpgrouting* ls "${PGPATHEDB}"/share/extension/pgrouting* #we need uninstall and reinstall copy to VC++ EDB instance if we want to test on standard Windows installed versions #cp *.dll ${PGPATHEDB}/lib/ #TODO remove this once we fix so the .dlls are created in lib folder cp -r "${PGPATH}/lib/libpgrouting*.dll" "${PGPATHEDB}/lib/" cp -r "${PGPATH}/share/extension/pgrouting*.sql" "${PGPATHEDB}/share/extension/" cp -r "${PGPATH}/share/extension/pgrouting.control" "${PGPATHEDB}/share/extension/" #--------------- echo echo "***************************" echo "After copying to PGPATHEDB ${PGPATHEDB}" echo "***************************" #--------------- ls "${PGPATHEDB}/lib/libpgrouting*" ls "${PGPATHEDB}/share/extension/pgrouting*" cd "${PROJECTS}/pgrouting/branches/${PGROUTING_VER}" || exit 1 #perl tools/test-runner.pl -pgver ${PG_VER} -pgport "${PGPORT}" -clean #perl tools/testers/doc_queries_generator.pl -pgver ${PG_VER} -pgisver "${POSTGIS_VER}" -pgport "${PGPORT}" -alg common -clean -v #perl tools/testers/doc_queries_generator.pl -pgver ${PG_VER} -pgisver "${POSTGIS_VER}" -pgport "${PGPORT}" -alg dijkstra -clean -v #perl tools/testers/doc_queries_generator.pl -pgver ${PG_VER} -pgisver "${POSTGIS_VER}" -pgport "${PGPORT}" -alg contraction #perl tools/testers/doc_queries_generator.pl -pgver ${PG_VER} -pgisver "${POSTGIS_VER}" -pgport "${PGPORT}" if [ "${OS_BUILD}" -eq 32 ] then perl tools/testers/doc_queries_generator.pl -pgver "${PG_VER}" -pgisver "${POSTGIS_VER}" -pgport "${PGPORT}" else psql -c "CREATE DATABASE ___pgr___test___" tools/testers/pg_prove_tests.sh "${PGUSER}" "${PGPORT}" psql -c "DROP DATABASE ___pgr___test___" fi cd "${PROJECTS}/pgrouting/build${PGROUTING_VER}w${OS_BUILD}${GCC_TYPE}/lib" || exit 1 strip ./*.dll pgrouting-3.3.0/ci/winnie/package_pgrouting.sh000066400000000000000000000066621414350551100214550ustar00rootroot00000000000000#!/bin/sh.exe # CHANGE THESE TO SUIT YOUR PROJECT #all these get passed in by jenkins #export OS_BUILD=64 #export PG_VER=9.2 #export PGHOST=localhost #export PGPORT=8442 #export PGROUTING_VER=2.0 #export PGROUTING_MICRO_VER=0dev #export GIT_COMMIT=whatever #This line is commented out on build file #strip *.dll export PGUSER=postgres #this should be setup as a mapping in msys/etc/fstab to where you keep your projects export PROJECTS=/projects export PATHOLD=$PATH #export PATHOLD=".:/bin:/include:/mingw/bin:/mingw/include:/c/Windows/system32:/c/Windows:/usr/local/bin:/c/ming64/Silksvn/bin:/c/Program Files (x86)/Git/bin" export PATHOLD=".:/bin:/include:/mingw/bin:/mingw/include:/c/Windows/system32:/c/Windows:/usr/local/bin" export PGWINVER=${PG_VER}edb export PostgreSQL_ROOT=${PROJECTS}/postgresql/rel/pg${PG_VER}w${OS_BUILD}${GCC_TYPE} export PATH="${PATHOLD}:${PostgreSQL_ROOT}/bin:${PostgreSQL_ROOT}/lib" if [[ "${GCC_TYPE}" == *gcc48* ]] ; then GMP_VER=5.1.2 MPFR_VER=3.1.2 CGAL_VER=4.6.1 BOOST_VER=1.59.0 BOOST_VER_WU=1_59_0 BOOST_VER_WUM=1_59 echo "$BOOST_VER_WU" echo "$BOOST_VER_WUM" else GMP_VER=5.1.2 MPFR_VER=3.1.2 CGAL_VER=3.9 BOOST_VER=1.46.1 echo "$GMP_VER" echo "$MPFR_VER" fi; #cd ${PROJECTS}/pgrouting/branches/${PGROUTING_VER}/build/lib cd "${PROJECTS}/pgrouting/build${PGROUTING_VER}w${OS_BUILD}${GCC_TYPE}" || exit 1 export REL_PGVER=${PG_VER//./} #strip the period if [[ "$PGROUTING_MICRO_VER" == *SVN* || "$PGROUTING_MICRO_VER" == *dev* ]] ; then export RELDIR=${PROJECTS}/pgrouting/builds/${PGROUTING_VER} export RELVERDIR=pgrouting-pg${REL_PGVER}-binaries-${PGROUTING_VER}.${PGROUTING_MICRO_VER}w${OS_BUILD}${GCC_TYPE} else #tagged version -- official release export RELDIR=${PROJECTS}/pgrouting/builds/${PGROUTING_VER} export RELVERDIR=pgrouting-pg${REL_PGVER}-binaries-${PGROUTING_VER}w${OS_BUILD}${GCC_TYPE} fi; outdir="${RELDIR}/${RELVERDIR}" package="${RELDIR}/${RELVERDIR}.zip" verfile="${RELDIR}/${RELVERDIR}/version.txt" rm -rf "${outdir}" rm "${package}" mkdir -p "${outdir}" mkdir -p "${outdir}/share/extension" mkdir "${outdir}/bin" mkdir "${outdir}/lib" cd "${PROJECTS}/pgrouting/build${PGROUTING_VER}w${OS_BUILD}${GCC_TYPE}/sql" || exit 1 cp ./*.sql "${outdir}/share/extension" cp "${PostgreSQL_ROOT}/share/extension/pgrouting.control" "${outdir}/share/extension" cd "${PROJECTS}/pgrouting/build${PGROUTING_VER}w${OS_BUILD}${GCC_TYPE}/lib" || exit 1 strip ./*.dll cp -r ./*.dll "${outdir}/lib" #newer gcc for some reason CGAL is not statically linked # so need to distribute if [[ "${GCC_TYPE}" == *gcc48* ]] ; then cp "${PROJECTS}/CGAL/rel-cgal-${CGAL_VER}w${OS_BUILD}${GCC_TYPE}/bin/libCGAL.dll" "${outdir}/bin" fi #cp extensions/postgis_topology/sql/* ${RELDIR}/${RELVERDIR}/share/extension #cp extensions/postgis_topology/*.control ${RELDIR}/${RELVERDIR}/share/extension cp -r "${RELDIR}/packaging_notes/*" "${RELDIR}/${RELVERDIR}/" echo "The git commit is ${GIT_COMMIT}" echo "pgRouting http://pgrouting.org : ${PGROUTING_VER}.${PGROUTING_MICRO_VER} ${GIT_COMMIT}" > "${verfile}" { echo "PostgreSQL http://www.postgresql.org : ${PG_VER} ${OS_BUILD} ${GCC_TYPE}" echo "CGAL http://www.cgal.org : ${CGAL_VER}" echo "BOOST http://www.boost.org : ${BOOST_VER}" date_built=$(eval date +%Y%m%d) echo "Built: ${date_built}" } >> "${verfile}" cd "${RELDIR}" || exit 1 zip -r "${package}" "${RELVERDIR}" cp "${package}" "${PROJECTS}/postgis/win_web/download/windows/pg${REL_PGVER}/buildbot" pgrouting-3.3.0/cmake/000077500000000000000000000000001414350551100146125ustar00rootroot00000000000000pgrouting-3.3.0/cmake/FindPostgreSQL.cmake000066400000000000000000000110021414350551100204120ustar00rootroot00000000000000# - Find PostgreSQL # Find the PostgreSQL includes and client library # This module defines # POSTGRESQL_INCLUDE_DIR, where to find POSTGRESQL.h # POSTGRESQL_LIBRARIES, the libraries needed to use POSTGRESQL. # POSTGRESQL_FOUND, If false, do not try to use PostgreSQL. # POSTGRESQL_EXECUTABLE # POSTGRESQL_VERSION_STRING # # Copyright (c) 2006, Jaroslaw Staniek, # # Redistribution and use is allowed according to the terms of the BSD license. # For details see the accompanying COPYING-CMAKE-SCRIPTS file. # Add the postgresql and mysql include paths here # A check condition to see if those variables are set SET(POSTGRESQL_BIN "" CACHE STRING "non-standard path to the postgresql program executables") if(POSTGRESQL_INCLUDE_DIR AND POSTGRESQL_LIBRARIES AND POSTGRESQL_EXECUTABLE AND POSTGRESQL_VERSION_STRING) set(POSTGRESQL_FOUND TRUE) else(POSTGRESQL_INCLUDE_DIR AND POSTGRESQL_LIBRARIES AND POSTGRESQL_EXECUTABLE) if(NOT "${POSTGRESQL_BIN}" STREQUAL "") # Checking POSTGRESQL_PG_CONFIG find_program(POSTGRESQL_PG_CONFIG NAMES pg_config PATHS ${POSTGRESQL_BIN} NO_DEFAULT_PATH ) else(NOT "${POSTGRESQL_BIN}" STREQUAL "") # Checking POSTGRESQL_PG_CONFIG find_program(POSTGRESQL_PG_CONFIG NAMES pg_config PATHS /usr/lib/postgresql/*/bin/ ) endif(NOT "${POSTGRESQL_BIN}" STREQUAL "") message(STATUS "POSTGRESQL_PG_CONFIG is " ${POSTGRESQL_PG_CONFIG}) if(POSTGRESQL_PG_CONFIG) execute_process( COMMAND ${POSTGRESQL_PG_CONFIG} --bindir OUTPUT_STRIP_TRAILING_WHITESPACE OUTPUT_VARIABLE T_POSTGRESQL_BIN) endif(POSTGRESQL_PG_CONFIG) # search for POSTGRESQL_EXECUTABLE _only_ in the dir specified by pg_config find_program(POSTGRESQL_EXECUTABLE NAMES postgres PATHS ${T_POSTGRESQL_BIN} NO_DEFAULT_PATH ) # if not found continue search in the path and all the dirs listed here (questionable) find_program(POSTGRESQL_EXECUTABLE NAMES postgres PATHS /usr/lib/postgresql/*/bin/ ) # # more elegant, equivalent way if we want to keep both of above: # find_program(POSTGRESQL_EXECUTABLE NAMES postgres # HINTS # ${T_POSTGRESQL_BIN} # PATHS # /usr/lib/postgresql/*/bin/ # ) message(STATUS "POSTGRESQL_EXECUTABLE is " ${POSTGRESQL_EXECUTABLE}) if(POSTGRESQL_PG_CONFIG) execute_process( COMMAND ${POSTGRESQL_PG_CONFIG} --version OUTPUT_STRIP_TRAILING_WHITESPACE OUTPUT_VARIABLE POSTGRESQL_VERSION_STRING) endif(POSTGRESQL_PG_CONFIG) message(STATUS "POSTGRESQL_VERSION_STRING in FindPostgreSQL.cmake is " ${POSTGRESQL_VERSION_STRING}) if(POSTGRESQL_PG_CONFIG) execute_process( COMMAND ${POSTGRESQL_PG_CONFIG} --includedir-server OUTPUT_STRIP_TRAILING_WHITESPACE OUTPUT_VARIABLE T_POSTGRESQL_INCLUDE_DIR) endif(POSTGRESQL_PG_CONFIG) #as with POSTGRESQL_EXECUTABLE we should/could use the path specified by pg_config only #instead of path and our own guesses find_path(POSTGRESQL_INCLUDE_DIR postgres.h HINTS ${T_POSTGRESQL_INCLUDE_DIR} PATHS /usr/include/server /usr/include/pgsql/server /usr/local/include/pgsql/server /usr/include/postgresql/server /usr/include/postgresql/*/server /usr/local/include/postgresql/server /usr/local/include/postgresql/*/server $ENV{ProgramFiles}/PostgreSQL/*/include/server $ENV{SystemDrive}/PostgreSQL/*/include/server ) if(POSTGRESQL_PG_CONFIG) execute_process( COMMAND ${POSTGRESQL_PG_CONFIG} --libdir OUTPUT_STRIP_TRAILING_WHITESPACE OUTPUT_VARIABLE POSTGRESQL_LIBRARIES) endif(POSTGRESQL_PG_CONFIG) if(POSTGRESQL_INCLUDE_DIR AND POSTGRESQL_LIBRARIES) set(POSTGRESQL_FOUND TRUE) message(STATUS "POSTGRESQL_INCLUDE_DIR: ${POSTGRESQL_INCLUDE_DIR}") message(STATUS "POSTGRESQL_LIBRARIES: ${POSTGRESQL_LIBRARIES}") include_directories(${POSTGRESQL_INCLUDE_DIR}) else(POSTGRESQL_INCLUDE_DIR AND POSTGRESQL_LIBRARIES) set(POSTGRESQL_FOUND FALSE) message(STATUS "PostgreSQL not found.") endif(POSTGRESQL_INCLUDE_DIR AND POSTGRESQL_LIBRARIES) mark_as_advanced(POSTGRESQL_INCLUDE_DIR POSTGRESQL_LIBRARIES) endif(POSTGRESQL_INCLUDE_DIR AND POSTGRESQL_LIBRARIES AND POSTGRESQL_EXECUTABLE AND POSTGRESQL_VERSION_STRING) pgrouting-3.3.0/cmake/FindSphinx.cmake000066400000000000000000000060271414350551100176730ustar00rootroot00000000000000# - Try to find Sphinx (sphinx-build) # Once done this will define # # SPHINX_FOUND - system has Sphinx # SPHINX_EXECUTABLE - full path to the Sphinx documentation generator tool # SPHINX_VERSION - the version of Sphinx which was found, e.g. "1.0.7" #============================================================================= # # Copyright (C) 2018 Vicky Vergara # Modification for python3 # # Copyright (C) 2011 Marie Rognes and Johannes Ring # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # 1. Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # 2. Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in # the documentation and/or other materials provided with the # distribution. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS # FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE # COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, # INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, # BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN # ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. #============================================================================= message(STATUS "Checking for package 'Sphinx'") # Make sure Python is available if (NOT PYTHON_EXECUTABLE) find_package(PythonInterp) endif() # Try to find sphinx-build find_program(SPHINX_EXECUTABLE sphinx-build HINTS ${SPHINX_DIR} $ENV{SPHINX_DIR} PATH_SUFFIXES bin DOC "Sphinx documentation generator tool" ) if (SPHINX_EXECUTABLE) # Try to check Sphinx version by importing Sphinx execute_process( COMMAND ${SPHINX_EXECUTABLE} --version OUTPUT_VARIABLE SPHINX_VERSION OUTPUT_STRIP_TRAILING_WHITESPACE) message(STATUS "SPHINX_VERSION ${SPHINX_VERSION}") string(REGEX MATCH "[0-9]+\.[0-9]+.\[0-9]+" SPHINX_VERSION "${SPHINX_VERSION}") message(STATUS "SPHINX_VERSION ${SPHINX_VERSION}") if (Sphinx_FIND_VERSION) # Check if version found is >= required version if (NOT "${SPHINX_VERSION}" VERSION_LESS "${Sphinx_FIND_VERSION}") set(SPHINX_VERSION_OK TRUE) endif() else() # No specific version of Sphinx is requested set(SPHINX_VERSION_OK TRUE) endif() endif() mark_as_advanced( SPHINX_EXECUTABLE SPHINX_VERSION SPHINX_VERSION_OK ) include(FindPackageHandleStandardArgs) find_package_handle_standard_args(Sphinx DEFAULT_MSG SPHINX_EXECUTABLE SPHINX_VERSION_OK) pgrouting-3.3.0/cmake/pgr/000077500000000000000000000000001414350551100154025ustar00rootroot00000000000000pgrouting-3.3.0/cmake/pgr/BuildType.cmake000066400000000000000000000012611414350551100203050ustar00rootroot00000000000000 # Set a default build type if none was specified set(PROJECT_DEFAULT_BUILD_TYPE "Release") if (CMAKE_BUILD_TYPE AND NOT CMAKE_BUILD_TYPE MATCHES "^(Debug|Release|RelWithDebInfo|MinSizeRel)$") message(FATAL_ERROR "Invalid value for CMAKE_BUILD_TYPE: ${CMAKE_BUILD_TYPE} valid values are Debug|Release|RelWithDebInfo|MinSizeRel") endif() if(NOT CMAKE_BUILD_TYPE AND NOT CMAKE_CONFIGURATION_TYPES) message(STATUS "Setting build type to '${PROJECT_DEFAULT_BUILD_TYPE}' as none was specified.") set(CMAKE_BUILD_TYPE "${PROJECT_DEFAULT_BUILD_TYPE}" CACHE STRING "Choose the type of build." FORCE) endif() message(STATUS "CMAKE_BUILD_TYPE ${CMAKE_BUILD_TYPE}") pgrouting-3.3.0/cmake/pgr/Configure.cmake000066400000000000000000000036271414350551100203350ustar00rootroot00000000000000 #--------------------------------------------- # PROJECT_SRC_DIRECTORIES #--------------------------------------------- # # Name of the directories that have # - C/C++ code # - SQL code # - documentation code # # structure: # # directory | code | sql | doc # # where: # # directory: is the name of the directory # code: Y / N value, when "Y" C/C++ code will be looked for # sql: Y / N value, when "Y" SQL code will be looked for # doc: Y / N value, when "Y" Documentation code will be looked for #---------------------- configure_file("configuration.conf" "configuration.conf") file(STRINGS configuration.conf PROJECT_CONFIGURATION_FILE) set(PROJECT_SRC_DIRECTORIES "") set(PROJECT_SQL_DIRECTORIES "") set(PROJECT_DOC_DIRECTORIES "") foreach(line ${PROJECT_CONFIGURATION_FILE}) string(REGEX REPLACE "^(#).*" "\\1" comment ${line}) if("${comment}" MATCHES "#") continue() endif() string(REGEX REPLACE "^(.*)\\|(.*)\\|(.*)\\|(.*)" "\\1" directory ${line}) string(REGEX REPLACE "^(.*)\\|(.*)\\|(.*)\\|(.*)" "\\2" has_code ${line}) string(REGEX REPLACE "^(.*)\\|(.*)\\|(.*)\\|(.*)" "\\3" has_sql ${line}) string(REGEX REPLACE "^(.*)\\|(.*)\\|(.*)\\|(.*)" "\\4" has_doc ${line}) string(STRIP ${directory} directory) string(STRIP ${has_code} has_code) string(STRIP ${has_sql} has_sql) string(STRIP ${has_doc} has_doc) if( ${has_code} MATCHES "Y") list(APPEND PROJECT_SRC_DIRECTORIES "${directory}") endif() if( ${has_sql} MATCHES "Y") list(APPEND PROJECT_SQL_DIRECTORIES "${directory}") endif() if( ${has_doc} MATCHES "Y") list(APPEND PROJECT_DOC_DIRECTORIES "${directory}") endif() endforeach() if (PROJECT_DEBUG) message(STATUS "PROJECT_SRC_DIRECTORIES ${PROJECT_SRC_DIRECTORIES}") message(STATUS "PROJECT_SQL_DIRECTORIES ${PROJECT_SQL_DIRECTORIES}") message(STATUS "PROJECT_DOC_DIRECTORIES ${PROJECT_DOC_DIRECTORIES}") endif() pgrouting-3.3.0/cmake/pgr/GitInfo.cmake000066400000000000000000000007121414350551100177430ustar00rootroot00000000000000 find_package(Git) if(GIT_FOUND AND EXISTS "${CMAKE_SOURCE_DIR}/.git") execute_process( COMMAND ${GIT_EXECUTABLE} log -1 --format=%h WORKING_DIRECTORY ${CMAKE_SOURCE_DIR} OUTPUT_VARIABLE PROJECT_GIT_HASH OUTPUT_STRIP_TRAILING_WHITESPACE ) else() set(PROJECT_GIT_HASH "unknown") endif() if (PROJECT_DEBUG) message(STATUS "PROJECT_GIT_HASH: ${PROJECT_GIT_HASH}") endif() mark_as_advanced(PROJECT_GIT_HASH) pgrouting-3.3.0/cmake/pgr/Version.cmake000066400000000000000000000022771414350551100200410ustar00rootroot00000000000000#----------------------------------------------------------------------------- #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- # PGROUTING version variables #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- set(PROJECT_LIB_VERSION "${PROJECT_VERSION_MAJOR}.${PROJECT_VERSION_MINOR}") set(PROJECT_SHORT_VERSION "${PROJECT_VERSION_MAJOR}.${PROJECT_VERSION_MINOR}${PROJECT_VERSION_DEV}") set(PROJECT_FULL_VERSION "v${PROJECT_VERSION}${PROJECT_VERSION_DEV}") if (PROJECT_VERSION_DEV) set(PROJECT_DOC_LINK "https://docs.pgrouting.org/dev/en") else() set(PROJECT_DOC_LINK "https://docs.pgrouting.org/latest/en") endif() if (PROJECT_DEBUG) message(STATUS "PROJECT_SHORT_VERSION: ${PROJECT_SHORT_VERSION}") message(STATUS "PROJECT_FULL_VERSION: ${PROJECT_FULL_VERSION}") message(STATUS "PROJECT_LIB_VERSION: ${PROJECT_LIB_VERSION}") message(STATUS "PROJECT_DOC_LINK: ${PROJECT_DOC_LINK}") endif() pgrouting-3.3.0/configuration.conf000066400000000000000000000030241414350551100172470ustar00rootroot00000000000000#---------------------- # Configuration file for compilation # # Once in the file, do not change the order # # Directory | has C/C++ | has SQL | has DOC #---------------------- #---------------------- # common must be first can not be removed #---------------------- common | Y | Y | N #---------------------- # dijkstra can not be removed # Has the command needed to link with prostgresl #---------------------- dijkstra | Y | Y | Y allpairs | Y | Y | Y astar | Y | Y | Y driving_distance | Y | Y | Y ksp | Y | Y | Y tsp | Y | Y | Y alpha_shape | Y | Y | Y bdAstar | Y | Y | Y bdDijkstra | Y | Y | Y trsp | Y | Y | Y max_flow | Y | Y | Y contraction | Y | Y | Y pickDeliver | Y | Y | Y vrp_basic | N | Y | Y withPoints | Y | Y | Y lineGraph | Y | Y | Y components | Y | Y | Y bellman_ford | Y | Y | Y cpp_common | Y | N | N dagShortestPath | Y | Y | Y chinese | Y | Y | Y spanningTree | Y | Y | Y mincut | Y | Y | Y version | Y | Y | Y topologicalSort | Y | Y | Y transitiveClosure | Y | Y | Y breadthFirstSearch | Y | Y | Y traversal | Y | Y | Y coloring | Y | Y | Y planar | Y | Y | Y dominator | Y | Y | Y #---------------------- # SQL only directories #---------------------- topology | N | Y | Y deprecated | N | Y | N pgrouting-3.3.0/doc/000077500000000000000000000000001414350551100142775ustar00rootroot00000000000000pgrouting-3.3.0/doc/CMakeLists.txt000066400000000000000000000223201414350551100170360ustar00rootroot00000000000000# # Find Sphinx # Find Sphinx executable to build documentation # Source: https://ericscottbarr.com/blog/2012/03/sphinx-and-cmake-beautiful-documentation-for-c-projects/ # # Daniel Kastl 03/2013 # #--------------------------------------------- # Kind of sphinx output #--------------------------------------------- option(WITH_DOC "Set ON|OFF (default=OFF) to build Documentation library tree" OFF) option(LOCALE "Set ON|OFF (default=OFF) to build ithe latest pot/po files" OFF) option(WITH_ALL_DOC "Set ON|OFF (default=OFF) to build Documentation library tree" OFF) #option(PDF # "Set ON|OFF (default=OFF) to build Documentation library tree as PDF" OFF) option(BUILD_LATEX "Set ON|OFF (default=OFF) to build Documentation library tree as PDF" OFF) option(SINGLEHTML "Set ON|OFF (default=OFF) to build Documentation library tree as SINGLE HTML" OFF) option(BUILD_HTML "Set ON|OFF (default=OFF) to build Documentation library tree as HTML" ON) option(BUILD_MAN "Set ON|OFF (default=OFF) to build Documentation library tree as MAN page" OFF) option(LINKCHECK "Set ON|OFF (default=OFF) to build Documentation library tree as LINKCHECK page" OFF) option(EPUB "Set ON|OFF (default=OFF) to build Documentation library tree as EPUB page" OFF) option(DUMMY "Set ON|OFF (default=OFF) for debugging purposes" OFF) if (LOCALE) set(WITH_DOC ON) endif() if (NOT WITH_DOC) return() endif() foreach(opt BUILD_HTML BUILD_LATEX BUILD_MAN SINGLEHTML EPUB DUMMY LINKCHECK) if (${${opt}} OR WITH_ALL_DOC) string(TOLOWER ${opt} val) string(REPLACE "build_" "" val ${val}) list(APPEND PROJECT_DOC_TARGETS ${val}) set(WITH_DOC ON) endif() endforeach() message(STATUS "PROJECT_DOC_TARGETS = ${PROJECT_DOC_TARGETS}") #--------------------------------------------- #--------------------------------------------- #--------------------------------------------- # LANGUAGES SETINGS #--------------------------------------------- #--------------------------------------------- #--------------------------------------------- #--------------------------------------------- # Available Languages # English is always built #--------------------------------------------- set(PROJECT_SUPPORTED_LANGUAGES "de" "es" "fr" "it" "ja" "ru") set(PROJECT_ENGLISH "en") #--------------------------------------------- # Language options #--------------------------------------------- option(WITH_ALL_LANG "Set ON|OFF (default=OFF) to build all the supported languages: Main Language will always be built: ${PROJECT_ENGLISH} Optional languages: ${PROJECT_SUPPORTED_LANGUAGES} When OFF and want to build specific optional language, use the language code in capital letters: -D ES=ON " OFF ) foreach(lang ${PROJECT_SUPPORTED_LANGUAGES}) string(TOUPPER ${lang} val) option(${val} "Set ON|OFF (default=OFF) build ${lang} Documentation" OFF) endforeach() #--------------------------------------------- # Catching the language options to be build #--------------------------------------------- foreach(lang ${PROJECT_SUPPORTED_LANGUAGES}) string(TOUPPER ${lang} opt) if (${opt} OR WITH_ALL_LANG) set (langFound "1") list(APPEND PROJECT_BUILD_LANGUAGES ${lang}) endif() endforeach() #--------------------------------------------- # All languages po files are to be generated #--------------------------------------------- set (SPHINXINTL_LANGUAGE ${PROJECT_ENGLISH}) foreach(lang ${PROJECT_BUILD_LANGUAGES}) set(SPHINXINTL_LANGUAGE "${SPHINXINTL_LANGUAGE},${lang}") endforeach() list(APPEND PROJECT_BUILD_LANGUAGES ${PROJECT_ENGLISH}) message(STATUS "PROJECT_BUILD_LANGUAGES = ${PROJECT_BUILD_LANGUAGES}") message(STATUS "SPHINXINTL_LANGUAGE = ${SPHINXINTL_LANGUAGE}") if(NOT WITH_DOC) return() endif() #--------------------------------------------- # Checking for prerequisites #--------------------------------------------- find_package(Sphinx ${SPHINX_MINIMUM_VERSION} REQUIRED) if (NOT SPHINX_FOUND) message(FATAL_ERROR "Sphinx not found. Cannot generate documentation! Install Sphinx or build without documentation") endif() if (SPHINX_VERSION VERSION_LESS 1.0) message(WARNING "Your Sphinx version is too old! This project requires Sphinx v${SPHINX_MINIMUM_VERSION} or above to produce proper documentation (you have v${SPHINX_VERSION}). You will get output but it will have errors.") endif() #pip install rst2pdf #--------------------------------------------- # Kind of "looks" #--------------------------------------------- option(DOC_USE_BOOTSTRAP "Set ON|OFF (default=ON) to build Documentation library tree as MAN page" OFF) if (DOC_USE_BOOTSTRAP) set(SPHINX_INCLUDE "import sphinx_bootstrap_theme") set(SPHINX_THEME "bootstrap") set(SPHINX_THEME_DIR "sphinx_bootstrap_theme.get_html_theme_path()") set(SPHINX_THEME_OPTIONS "'source_link_position': \"none\",") else() set(SPHINX_INCLUDE "") set(SPHINX_THEME "haiku") set(SPHINX_THEME_DIR "['']") set(SPHINX_THEME_OPTIONS "") endif() # configured documentation tools and intermediate build results # TODO for 3.0 Use _build # set(PGR_DOCUMENTATION_BUILD_DIR "${CMAKE_CURRENT_BINARY_DIR}/_build") set(PGR_DOCUMENTATION_BUILD_DIR "${CMAKE_CURRENT_BINARY_DIR}") set(PGR_DOCUMENTATION_SOURCE_DIR "${CMAKE_CURRENT_BINARY_DIR}") message(STATUS "PGR_DOCUMENTATION_BUILD_DIR = ${PGR_DOCUMENTATION_BUILD_DIR}") #--------------------------------------------- # Adding documentation directories #--------------------------------------------- foreach (subdir ${PROJECT_DOC_DIRECTORIES} "src") add_subdirectory("${subdir}") add_subdirectory("../docqueries/${subdir}" "build/doc/${subdir}") endforeach() add_subdirectory("images") configure_file("../tools/testers/sampledata.sql" "${PGR_DOCUMENTATION_SOURCE_DIR}/sampledata/sampledata.sql") #TODO ??? #add_subdirectory("static") #add_subdirectory("themes") file(COPY "${CMAKE_CURRENT_SOURCE_DIR}/_static" DESTINATION "${PGR_DOCUMENTATION_SOURCE_DIR}") file(COPY "${CMAKE_CURRENT_SOURCE_DIR}/_themes" DESTINATION "${PGR_DOCUMENTATION_SOURCE_DIR}") configure_file( "${CMAKE_CURRENT_SOURCE_DIR}/conf.py.in" "${PGR_DOCUMENTATION_SOURCE_DIR}/conf.py" @ONLY) # Add documentation to targets #if (LATEX) if (FALSE) find_package(LATEX) if (NOT LATEX_COMPILER) message("Couldn't find Latex, can't build latex docs using Sphinx") else() message(STATUS "LATEX_COMPILER = ${LATEX_COMPILER}") endif() endif() set(ENV{SPHINXINTL_LANGUAGE} ${SPHINXINTL_LANGUAGE}) if (LOCALE) add_custom_target(locale COMMAND ${SPHINX_EXECUTABLE} -b gettext -c "${PGR_DOCUMENTATION_SOURCE_DIR}" "${PGR_DOCUMENTATION_SOURCE_DIR}" "${CMAKE_SOURCE_DIR}/locale/pot" COMMAND sphinx-intl update -d ${CMAKE_SOURCE_DIR}/locale -l en > locale_changes.txt #COMMAND sphinx-intl update -p ${CMAKE_SOURCE_DIR}/locale/pot -d ${CMAKE_SOURCE_DIR}/locale --language=${SPHINXINTL_LANGUAGE} #COMMAND sphinx-intl update-txconfig-resources --locale-dir ${CMAKE_SOURCE_DIR}/locale --pot-dir ${CMAKE_SOURCE_DIR}/locale/pot --transifex-project-name pgrouting COMMENT "Generating POT files ..." SOURCES ${PROJECT_DOC_FILES} ) endif() # The doc target will build all documentation targets. add_custom_target(doc COMMENT "Building documentation with Sphinx") foreach (target ${PROJECT_DOC_TARGETS}) add_custom_target("${target}" COMMENT "Building ${target} documentation with Sphinx") configure_file( "${CMAKE_CURRENT_SOURCE_DIR}/forward.html" "${PGR_DOCUMENTATION_BUILD_DIR}/${target}/index.html") foreach (lang ${PROJECT_BUILD_LANGUAGES}) add_custom_target( "${target}-${lang}" COMMAND ${SPHINX_EXECUTABLE} #-q # Enable for quiet mode #-Q # Enable for even more quiet mode -v # increase verbosity -W --keep-going #-j auto #-E # don't use a saved environment, always read all file #-a # write all files; default is to only write new and changed files -b ${target} -D language='${lang}' -c "${PGR_DOCUMENTATION_SOURCE_DIR}" "${PGR_DOCUMENTATION_SOURCE_DIR}" "${PGR_DOCUMENTATION_BUILD_DIR}/${target}/${lang}" COMMENT "Generating ${target}/${lang} documentation ..." 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pgrouting-3.3.0/doc/_themes/000077500000000000000000000000001414350551100157235ustar00rootroot00000000000000pgrouting-3.3.0/doc/_themes/null000066400000000000000000000000001414350551100166060ustar00rootroot00000000000000pgrouting-3.3.0/doc/allpairs/000077500000000000000000000000001414350551100161065ustar00rootroot00000000000000pgrouting-3.3.0/doc/allpairs/CMakeLists.txt000066400000000000000000000005331414350551100206470ustar00rootroot00000000000000 SET(LOCAL_FILES allpairs-family.rst pgr_floydWarshall.rst pgr_johnson.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/allpairs/allpairs-family.rst000066400000000000000000000155201414350551100217310ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ All Pairs - Family of Functions =============================================================================== The following functions work on all vertices pair combinations .. index from here * :doc:`pgr_floydWarshall` - Floyd-Warshall's algorithm. * :doc:`pgr_johnson` - Johnson's algorithm .. index to here .. toctree:: :hidden: pgr_floydWarshall pgr_johnson Performance ------------------------------------------------------------------------------ The following tests: - non server computer - with AMD 64 CPU - 4G memory - trusty - posgreSQL version 9.3 Data ......................................... The following data was used .. code-block:: none BBOX="-122.8,45.4,-122.5,45.6" wget --progress=dot:mega -O "sampledata.osm" "https://www.overpass-api.de/api/xapi?*[bbox=${BBOX}][@meta]" Data processing was done with osm2pgrouting-alpha .. code-block:: none createdb portland psql -c "create extension postgis" portland psql -c "create extension pgrouting" portland osm2pgrouting -f sampledata.osm -d portland -s 0 Results ......................................... :Test: One This test is not with a bounding box The density of the passed graph is extremely low. For each 30 tests were executed to get the average The tested query is: .. code-block:: none SELECT count(*) FROM pgr_floydWarshall( 'SELECT gid as id, source, target, cost, reverse_cost FROM ways where id <= '); SELECT count(*) FROM pgr_johnson( 'SELECT gid as id, source, target, cost, reverse_cost FROM ways where id <= '); The results of this tests are presented as: :SIZE: is the number of edges given as input. :EDGES: is the total number of records in the query. :DENSITY: is the density of the data :math:`\dfrac{E}{V \times (V-1)}`. :OUT ROWS: is the number of records returned by the queries. :Floyd-Warshall: is the average execution time in seconds of pgr_floydWarshall. :Johnson: is the average execution time in seconds of pgr_johnson. ====== ====== ========== ======== ============== ============= SIZE EDGES DENSITY OUT ROWS Floyd-Warshall Johnson ====== ====== ========== ======== ============== ============= 500 500 0.18E-7 1346 0.14 0.13 1000 1000 0.36E-7 2655 0.23 0.18 1500 1500 0.55E-7 4110 0.37 0.34 2000 2000 0.73E-7 5676 0.56 0.37 2500 2500 0.89E-7 7177 0.84 0.51 3000 3000 1.07E-7 8778 1.28 0.68 3500 3500 1.24E-7 10526 2.08 0.95 4000 4000 1.41E-7 12484 3.16 1.24 4500 4500 1.58E-7 14354 4.49 1.47 5000 5000 1.76E-7 16503 6.05 1.78 5500 5500 1.93E-7 18623 7.53 2.03 6000 6000 2.11E-7 20710 8.47 2.37 6500 6500 2.28E-7 22752 9.99 2.68 7000 7000 2.46E-7 24687 11.82 3.12 7500 7500 2.64E-7 26861 13.94 3.60 8000 8000 2.83E-7 29050 15.61 4.09 8500 8500 3.01E-7 31693 17.43 4.63 9000 9000 3.17E-7 33879 19.19 5.34 9500 9500 3.35E-7 36287 20.77 6.24 10000 10000 3.52E-7 38491 23.26 6.51 ====== ====== ========== ======== ============== ============= :Test: Two This test is with a bounding box The density of the passed graph higher than of the Test One. For each 30 tests were executed to get the average The tested edge query is: .. code-block:: none WITH buffer AS (SELECT ST_Buffer(ST_Centroid(ST_Extent(the_geom)), SIZE) AS geom FROM ways), bbox AS (SELECT ST_Envelope(ST_Extent(geom)) as box from buffer) SELECT gid as id, source, target, cost, reverse_cost FROM ways where the_geom && (SELECT box from bbox); The tested queries .. code-block:: none SELECT count(*) FROM pgr_floydWarshall() SELECT count(*) FROM pgr_johnson() The results of this tests are presented as: :SIZE: is the size of the bounding box. :EDGES: is the total number of records in the query. :DENSITY: is the density of the data :math:`\dfrac{E}{V \times (V-1)}`. :OUT ROWS: is the number of records returned by the queries. :Floyd-Warshall: is the average execution time in seconds of pgr_floydWarshall. :Johnson: is the average execution time in seconds of pgr_johnson. ====== ===== ======== ======== ============== ============= SIZE EDGES DENSITY OUT ROWS Floyd-Warshall Johnson ====== ===== ======== ======== ============== ============= 0.001 44 0.0608 1197 0.10 0.10 0.002 99 0.0251 4330 0.10 0.10 0.003 223 0.0122 18849 0.12 0.12 0.004 358 0.0085 71834 0.16 0.16 0.005 470 0.0070 116290 0.22 0.19 0.006 639 0.0055 207030 0.37 0.27 0.007 843 0.0043 346930 0.64 0.38 0.008 996 0.0037 469936 0.90 0.49 0.009 1146 0.0032 613135 1.26 0.62 0.010 1360 0.0027 849304 1.87 0.82 0.011 1573 0.0024 1147101 2.65 1.04 0.012 1789 0.0021 1483629 3.72 1.35 0.013 1975 0.0019 1846897 4.86 1.68 0.014 2281 0.0017 2438298 7.08 2.28 0.015 2588 0.0015 3156007 10.28 2.80 0.016 2958 0.0013 4090618 14.67 3.76 0.017 3247 0.0012 4868919 18.12 4.48 ====== ===== ======== ======== ============== ============= See Also ......................................... * :doc:`pgr_johnson` * :doc:`pgr_floydWarshall` * `Boost floyd-Warshall `_ algorithm .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/allpairs/pgr_floydWarshall.rst000066400000000000000000000131271414350551100223270ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ pgr_floydWarshall =============================================================================== ``pgr_floydWarshall`` - Returns the sum of the costs of the shortest path for each pair of nodes in the graph using Floyd-Warshall algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/floyd_warshall_shortest.html Boost Graph Inside .. rubric:: Availability * Version 2.2.0 * Signature change * Old signature no longer supported * Version 2.0.0 * **Official** function Description ------------------------------------------------------------------------------- The Floyd-Warshall algorithm, also known as Floyd's algorithm, is a good choice to calculate the sum of the costs of the shortest path for each pair of nodes in the graph, for *dense graphs*. We use Boost's implementation which runs in :math:`\Theta(V^3)` time, The main characteristics are: - It does not return a path. - Returns the sum of the costs of the shortest path for each pair of nodes in the graph. - Process is done only on edges with positive costs. - Boost returns a :math:`V \times V` matrix, where the infinity values. Represent the distance between vertices for which there is no path. - We return only the non infinity values in form of a set of `(start_vid, end_vid, agg_cost)`. - Let be the case the values returned are stored in a table, so the unique index would be the pair: `(start_vid, end_vid)`. - For the undirected graph, the results are symmetric. - The `agg_cost` of `(u, v)` is the same as for `(v, u)`. - When `start_vid` = `end_vid`, the `agg_cost` = 0. - **Recommended, use a bounding box of no more than 3500 edges.** Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr floydWarshall(edges_sql [, directed]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET .. rubric:: Using defaults .. code-block:: none pgr_floydWarshall(edges_sql) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example 1: For vertices :math:`\{1, 2, 3, 4\}` on a **directed** graph .. literalinclude:: doc-floydWarshall.queries :start-after: -- q1 :end-before: -- q2 Complete Signature ............................................................................... .. code-block:: none pgr_floydWarshall(edges_sql [, directed]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example 2: For vertices :math:`\{1, 2, 3, 4\}` on an **undirected** graph .. literalinclude:: doc-floydWarshall.queries :start-after: -- q2 :end-before: -- q3 Parameters ------------------------------------------------------------------------------- ============= ============= ================================================= Parameter Type Description ============= ============= ================================================= **edges_sql** ``TEXT`` SQL query as described above. **directed** ``BOOLEAN`` (optional) Default is true (is directed). When set to false the graph is considered as Undirected ============= ============= ================================================= Inner query ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: no_id_edges_sql_start :end-before: no_id_edges_sql_end Result Columns ------------------------------------------------------------------------------- Returns set of ``(start_vid, end_vid, agg_cost)`` ============= ============= ================================================= Column Type Description ============= ============= ================================================= **start_vid** ``BIGINT`` Identifier of the starting vertex. **end_vid** ``BIGINT`` Identifier of the ending vertex. **agg_cost** ``FLOAT`` Total cost from ``start_vid`` to ``end_vid``. ============= ============= ================================================= See Also ------------------------------------------------------------------------------- * :doc:`pgr_johnson` * `Boost floyd-Warshall `_ algorithm * Queries uses the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/allpairs/pgr_johnson.rst000066400000000000000000000126671414350551100212020ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ pgr_johnson =============================================================================== ``pgr_johnson`` - Returns the sum of the costs of the shortest path for each pair of nodes in the graph using Floyd-Warshall algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/johnson_all_pairs_shortest.html Boost Graph Inside .. rubric:: Availability * Version 2.2.0 * Signature change * Old signature no longer supported * Version 2.0.0 * **Official** function Description ------------------------------------------------------------------------------- The Johnson algorithm, is a good choice to calculate the sum of the costs of the shortest path for each pair of nodes in the graph, for *sparse graphs*. It usees the Boost's implementation which runs in :math:`O(V E \log V)` time, The main characteristics are: - It does not return a path. - Returns the sum of the costs of the shortest path for each pair of nodes in the graph. - Process is done only on edges with positive costs. - Boost returns a :math:`V \times V` matrix, where the infinity values. Represent the distance between vertices for which there is no path. - We return only the non infinity values in form of a set of `(start_vid, end_vid, agg_cost)`. - Let be the case the values returned are stored in a table, so the unique index would be the pair: `(start_vid, end_vid)`. - For the undirected graph, the results are symmetric. - The `agg_cost` of `(u, v)` is the same as for `(v, u)`. - When `start_vid` = `end_vid`, the `agg_cost` = 0. Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_johnson(edges_sql) pgr johnson(edges_sql [, directed]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET .. rubric:: Using default .. code-block:: none pgr_johnson(edges_sql) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example 1: For vertices :math:`\{1, 2, 3, 4\}` on a **directed** graph .. literalinclude:: doc-johnson.queries :start-after: -- q1 :end-before: -- q2 Complete Signature ............................................................................... .. code-block:: none pgr_johnson(edges_sql[, directed]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example 2: For vertices :math:`\{1, 2, 3, 4\}` on an **undirected** graph .. literalinclude:: doc-johnson.queries :start-after: -- q2 :end-before: -- q3 Parameters ------------------------------------------------------------------------------- ============= ============= ================================================= Parameter Type Description ============= ============= ================================================= **edges_sql** ``TEXT`` SQL query as described above. **directed** ``BOOLEAN`` (optional) Default is true (is directed). When set to false the graph is considered as Undirected ============= ============= ================================================= Inner query ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: no_id_edges_sql_start :end-before: no_id_edges_sql_end Result Columns ------------------------------------------------------------------------------- Returns set of ``(start_vid, end_vid, agg_cost)`` ============= ============= ================================================= Column Type Description ============= ============= ================================================= **start_vid** ``BIGINT`` Identifier of the starting vertex. **end_vid** ``BIGINT`` Identifier of the ending vertex. **agg_cost** ``FLOAT`` Total cost from ``start_vid`` to ``end_vid``. ============= ============= ================================================= See Also ------------------------------------------------------------------------------- * :doc:`pgr_floydWarshall` * `Boost Johnson `_ algorithm implementation. * Queries uses the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/alpha_shape/000077500000000000000000000000001414350551100165445ustar00rootroot00000000000000pgrouting-3.3.0/doc/alpha_shape/CMakeLists.txt000066400000000000000000000004541414350551100213070ustar00rootroot00000000000000 SET(LOCAL_FILES pgr_alphaShape.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/alpha_shape/pgr_alphaShape.rst000066400000000000000000000114201414350551100222120ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ pgr_alphaShape =============================================================================== ``pgr_alphaShape`` — Polygon part of an alpha shape. .. rubric:: Availability * Version 3.0.0 * Breaking change on signature * Old signature no longer supported * **Boost 1.54** & **Boost 1.55** are supported * **Boost 1.56+** is preferable * Boost Geometry is stable on Boost 1.56 * Version 2.1.0 * Added alpha argument with default 0 (use optimal value) * Support to return multiple outer/inner ring * Version 2.0.0 * **Official** function * Renamed from version 1.x .. rubric:: Support * **Supported versions:** current(`3.1 `__) `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ Description ------------------------------------------------------------------------------- Returns the polygon part of an alpha shape. Characteristics * Input is a *geometry* and returns a *geometry* * Uses PostGis ST_DelaunyTriangles * Instead of using CGAL's definition of `alpha` it use the ``spoon_radius`` * :math:`spoon\_radius = \sqrt alpha` * A Triangle area is considered part of the alpha shape when :math:`circumcenter\ radius < spoon\_radius` * When the total number of points is less than 3, returns an EMPTY geometry Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. index:: single: alphaShape .. code-block:: none pgr_alphaShape(geometry, [spoon_radius]) RETURNS geometry .. rubric:: Example: passing a geometry collection with spoon radius :math:`1.5` using the return variable ``geom`` .. literalinclude:: doc-pgr_alphashape.queries :start-after: -- q1 :end-before: -- q2 Parameters ------------------------------------------------------------------------------- ================= ================== ======== ================================================= Parameter Type Default Description ================= ================== ======== ================================================= **geometry** ``geometry`` Geometry with at least :math:`3` points **spoon_radius** ``FLOAT`` The radius of the spoon ================= ================== ======== ================================================= Return Value ------------------------------------------------------------------------------- ==================== ======================== Kind of geometry Description ==================== ======================== GEOMETRY COLLECTION A Geometry collection of Polygons ==================== ======================== See Also ------------------------------------------------------------------------------- * :doc:`pgr_drivingDistance` * :doc:`sampledata` network. * `ST_ConcaveHull `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/astar/000077500000000000000000000000001414350551100154115ustar00rootroot00000000000000pgrouting-3.3.0/doc/astar/CMakeLists.txt000066400000000000000000000005561414350551100201570ustar00rootroot00000000000000 SET(LOCAL_FILES aStar-family.rst pgr_aStarCost.rst pgr_aStarCostMatrix.rst pgr_aStar.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/astar/aStar-family.rst000066400000000000000000000120121414350551100204700ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ aStar - Family of functions =============================================================================== The A* (pronounced "A Star") algorithm is based on Dijkstra's algorithm with a heuristic that allow it to solve most shortest path problems by evaluation only a sub-set of the overall graph. .. index from here - :doc:`pgr_aStar` - A* algorithm for the shortest path. - :doc:`pgr_aStarCost` - Get the aggregate cost of the shortest paths. - :doc:`pgr_aStarCostMatrix` - Get the cost matrix of the shortest paths. .. index to here .. toctree:: :hidden: pgr_aStar pgr_aStarCost pgr_aStarCostMatrix General Information -------------------------------------------------------------------------------- The main Characteristics are: .. astar general info start * Default kind of graph is **directed** when * ``directed`` flag is missing. * ``directed`` flag is set to true * Unless specified otherwise, ordering is: * first by ``start_vid`` (if exists) * then by ``end_vid`` * Values are returned when there is a path * Let :math:`v` and :math:`u` be nodes on the graph: * If there is no path from :math:`v` to :math:`u`: * no corresponding row is returned * ``agg_cost`` from :math:`v` to :math:`u` is :math:`\infty` * There is no path when :math:`v = u` therefore * no corresponding row is returned * ``agg_cost`` from `v` to `u` is :math:`0` * Edges with negative costs are not included in the graph. * When (x,y) coordinates for the same vertex identifier differ: * A random selection of the vertex's (x,y) coordinates is used. * Running time: :math:`O((E + V) * \log V)` .. astar general info end Advanced documentation ----------------------------------------------- The A* (pronounced "A Star") algorithm is based on Dijkstra's algorithm with a heuristic, that is an estimation of the remaining cost from the vertex to the goal, that allows to solve most shortest path problems by evaluation only a sub-set of the overall graph. Running time: :math:`O((E + V) * \log V)` .. _astar_heuristics: Heuristic .......... Currently the heuristic functions available are: - 0: :math:`h(v) = 0` (Use this value to compare with pgr_dijkstra) - 1: :math:`h(v) = abs(max(\Delta x, \Delta y))` - 2: :math:`h(v) = abs(min(\Delta x, \Delta y))` - 3: :math:`h(v) = \Delta x * \Delta x + \Delta y * \Delta y` - 4: :math:`h(v) = sqrt(\Delta x * \Delta x + \Delta y * \Delta y)` - 5: :math:`h(v) = abs(\Delta x) + abs(\Delta y)` where :math:`\Delta x = x_1 - x_0` and :math:`\Delta y = y_1 - y_0` .. _astar_factor: Factor ------------------------------------------------------------------------------- .. rubric:: Analysis 1 Working with cost/reverse_cost as length in degrees, x/y in lat/lon: Factor = 1 (no need to change units) .. rubric:: Analysis 2 Working with cost/reverse_cost as length in meters, x/y in lat/lon: Factor = would depend on the location of the points: ======== ================================= ========== Latitude Conversion Factor ======== ================================= ========== 45 1 longitude degree is 78846.81 m 78846 0 1 longitude degree is 111319.46 m 111319 ======== ================================= ========== .. rubric:: Analysis 3 Working with cost/reverse_cost as time in seconds, x/y in lat/lon: Factor: would depend on the location of the points and on the average speed say 25m/s is the speed. ======== =========================================== ========== Latitude Conversion Factor ======== =========================================== ========== 45 1 longitude degree is (78846.81m)/(25m/s) 3153 s 0 1 longitude degree is (111319.46 m)/(25m/s) 4452 s ======== =========================================== ========== See Also ------------------------------------------------------------------------------- * :doc:`pgr_aStar` * :doc:`pgr_aStarCost` * :doc:`pgr_aStarCostMatrix` * https://www.boost.org/libs/graph/doc/astar_search.html * https://en.wikipedia.org/wiki/A*_search_algorithm .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/astar/pgr_aStar.rst000066400000000000000000000244201414350551100200670ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ pgr_aStar =============================================================================== ``pgr_aStar`` — Shortest path using A* algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/astar_search.html Boost Graph Inside .. rubric:: Availability * Version 3.2.0 * New **proposed** function: * pgr_aStar(Combinations) * Version 3.0.0 * **Official** function * Version 2.4.0 * New **Proposed** functions: * pgr_aStar(One to Many) * pgr_aStar(Many to One) * pgr_aStar(Many to Many) * Version 2.3.0 * Signature change on pgr_astar(One to One) * Old signature no longer supported * Version 2.0.0 * **Official** pgr_aStar(One to One) Description ------------------------------------------------------------------------------- **The main characteristics are:** .. include:: aStar-family.rst :start-after: astar general info start :end-before: astar general info end * The results are equivalent to the union of the results of the `pgr_aStar(` `One to One`_ `)` on the: * `pgr_aStar(` `One to Many`_ `)` * `pgr_aStar(` `Many to One`_ `)` * `pgr_aStar(` `Many to Many`_ `)` * ``start_vid`` and ``end_vid`` in the result is used to distinguish to which path it belongs. Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_aStar(Edges SQL, from_vid, to_vid [, directed] [, heuristic] [, factor] [, epsilon]) pgr_aStar(Edges SQL, from_vid, to_vids [, directed] [, heuristic] [, factor] [, epsilon]) pgr_aStar(Edges SQL, from_vids, to_vid [, directed] [, heuristic] [, factor] [, epsilon]) pgr_aStar(Edges SQL, from_vids, to_vids [, directed] [, heuristic] [, factor] [, epsilon]) pgr_aStar(Edges SQL, Combinations SQL [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (seq, path_seq [, start_vid] [, end_vid], node, edge, cost, agg_cost) OR EMPTY SET Optional parameters are `named parameters` and have a default value. .. rubric:: Using defaults .. code-block:: none pgr_aStar(Edges SQL, from_vid, to_vid) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`12` on a **directed** graph .. literalinclude:: doc-astar.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: aStar(One to One) One to One ............................................................................... .. code-block:: none pgr_aStar(Edges SQL, from_vid, to_vid [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`12` on an **undirected** graph using heuristic :math:`2` .. literalinclude:: doc-astar.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: astar(One to Many) One to many ............................................................................... .. code-block:: none pgr_aStar(Edges SQL, from_vid, to_vids [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (seq, path_seq, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertices :math:`\{3, 12\}` on a **directed** graph using heuristic :math:`2` .. literalinclude:: doc-astar.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: aStar(Many to One) Many to One ............................................................................... .. code-block:: none pgr_aStar(Edges SQL, from_vids, to_vid [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (seq, path_seq, start_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{7, 2\}` to vertex :math:`12` on a **directed** graph using heuristic :math:`0` .. literalinclude:: doc-astar.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: aStar(Many to Many) Many to Many ............................................................................... .. code-block:: none pgr_aStar(Edges SQL, from_vids, to_vids [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{7, 2\}` to vertices :math:`\{3, 12\}` on a **directed** graph using heuristic :math:`2` .. literalinclude:: doc-astar.queries :start-after: -- q5 :end-before: -- q6 .. index:: single: aStar(Combinations) - Proposed on v3.2 Combinations ............................................................................... .. code-block:: none pgr_aStar(Edges SQL, Combinations SQL [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: Using a combinations table on a **directed** graph using heuristic :math:`2`. .. literalinclude:: doc-astar.queries :start-after: -- q6 :end-before: -- q7 Parameters ------------------------------------------------------------------------------- .. aStar parameters start ======================= ====================== ================================================= Parameter Type Description ======================= ====================== ================================================= **Edges SQL** ``TEXT`` `Edges query` as described below. **Combinations SQL** ``TEXT`` `Combinations query` as described below. **from_vid** ``ANY-INTEGER`` Starting vertex identifier. Parameter in: * `One to One`_ * `One to Many`_ **from_vids** ``ARRAY[ANY-INTEGER]`` Array of starting vertices identifiers. Parameter in: * `Many to One`_ * `Many to Many`_ **to_vid** ``ANY-INTEGER`` Ending vertex identifier. Parameter in: * `One to One`_ * `Many to One`_ **to_vids** ``ARRAY[ANY-INTEGER]`` Array of ending vertices identifiers. Parameter in: * `One to Many`_ * `Many to Many`_ ======================= ====================== ================================================= .. aStar parameters end Optional Parameters ............................................................................... .. aStar optional parameters start ================ ====================== ======== ================================================= Parameter Type Default Description ================ ====================== ======== ================================================= **directed** ``BOOLEAN`` ``true`` - When ``true`` the graph is considered as Directed. - When ``false`` the graph is considered as Undirected. **heuristic** ``INTEGER`` ``5`` Heuristic number. Current valid values 0~5. Default ``5`` - 0: h(v) = 0 (Use this value to compare with pgr_dijkstra) - 1: h(v) abs(max(dx, dy)) - 2: h(v) abs(min(dx, dy)) - 3: h(v) = dx * dx + dy * dy - 4: h(v) = sqrt(dx * dx + dy * dy) - 5: h(v) = abs(dx) + abs(dy) **factor** ``FLOAT`` ``1`` For units manipulation. :math:`factor > 0`. See :ref:`astar_factor` **epsilon** ``FLOAT`` ``1`` For less restricted results. :math:`epsilon >= 1`. ================ ====================== ======== ================================================= .. aStar optional parameters end Inner queries ------------------------------------------------------------------------------- Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: xy_edges_sql_start :end-before: xy_edges_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_path_short_start :end-before: return_path_short_end See Also ------------------------------------------------------------------------------- * :doc:`aStar-family` * :doc:`sampledata` * https://www.boost.org/libs/graph/doc/astar_search.html * https://en.wikipedia.org/wiki/A*_search_algorithm .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/astar/pgr_aStarCost.rst000066400000000000000000000157401414350551100207250ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ pgr_aStarCost =============================================================================== ``pgr_aStarCost`` — Returns the aggregate cost shortest path using :doc:`pgr_aStar` algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/astar_search.html Boost Graph Inside .. rubric:: Availability * Version 3.2.0 * New **proposed** function: * pgr_aStarCost(Combinations) * Version 3.0.0 * **Official** function * Version 2.4.0 * New **proposed** function Description ------------------------------------------------------------------------------- **The main characteristics are:** .. include:: aStar-family.rst :start-after: astar general info start :end-before: astar general info end * The results are equivalent to the union of the results of the `pgr_aStarCost(` `One to One`_ `)` on the: * `pgr_aStarCost(` `One to Many`_ `)` * `pgr_aStarCost(` `Many to One`_ `)` * `pgr_aStarCost(` `Many to Many`_ `)` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_aStarCost(Edges SQL, from_vid, to_vid [, directed] [, heuristic] [, factor] [, epsilon]) pgr_aStarCost(Edges SQL, from_vid, to_vids [, directed] [, heuristic] [, factor] [, epsilon]) pgr_aStarCost(Edges SQL, from_vids, to_vid [, directed] [, heuristic] [, factor] [, epsilon]) pgr_aStarCost(Edges SQL, from_vids, to_vids [, directed] [, heuristic] [, factor] [, epsilon]) pgr_aStarCost(Edges SQL, Combinations SQL [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET Optional parameters are `named parameters` and have a default value. .. rubric:: Using defaults .. code-block:: none pgr_aStarCost(Edges SQL, start_vid, end_vid) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`12` on a **directed** graph .. literalinclude:: doc-aStarCost.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: aStarCost(One to One) One to One ............................................................................... .. code-block:: none pgr_aStarCost(Edges SQL, from_vid, to_vid [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`12` on an **undirected** graph using heuristic :math:`2` .. literalinclude:: doc-aStarCost.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: aStarCost(One to Many) One to many ............................................................................... .. code-block:: none pgr_aStarCost(Edges SQL, from_vid, to_vids [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertices :math:`\{3, 12\}` on a **directed** graph using heuristic :math:`2` .. literalinclude:: doc-aStarCost.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: aStarCost(Many to One) Many to One ............................................................................... .. code-block:: none pgr_aStarCost(Edges SQL, from_vids, to_vid [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{7, 2\}` to vertex :math:`12` on a **directed** graph using heuristic :math:`0` .. literalinclude:: doc-aStarCost.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: aStarCost(Many to Many) Many to Many .............................................................................. .. code-block:: none pgr_aStarCost(Edges SQL, from_vids, to_vids [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{7, 2\}` to vertices :math:`\{3, 12\}` on a **directed** graph using heuristic :math:`2` .. literalinclude:: doc-aStarCost.queries :start-after: -- q5 :end-before: -- q6 .. index:: single: aStarCost(Combinations) - Proposed on v3.2 Combinations ............................................................................... .. code-block:: none pgr_aStarCost(Edges SQL, Combinations SQL [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: Using a combinations table on a **directed** graph using heuristic :math:`2`. .. literalinclude:: doc-aStarCost.queries :start-after: -- q6 :end-before: -- q7 Parameters ------------------------------------------------------------------------------- .. include:: pgr_aStar.rst :start-after: aStar parameters start :end-before: aStar parameters end Optional Parameters ............................................................................... .. include:: pgr_aStar.rst :start-after: aStar optional parameters start :end-before: aStar optional parameters end Inner queries ------------------------------------------------------------------------------- Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: xy_edges_sql_start :end-before: xy_edges_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end Result Columns -------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_cost_start :end-before: return_cost_end See Also ------------------------------------------------------------------------------- * :doc:`aStar-family` * :doc:`cost-category` * :doc:`costMatrix-category` * Examples use :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/astar/pgr_aStarCostMatrix.rst000066400000000000000000000115201414350551100221020ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ pgr_aStarCostMatrix =============================================================================== ``pgr_aStarCostMatrix`` - Calculates the a cost matrix using :doc:`pgr_aStar`. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org//libs/graph/doc/astar_search.html Boost Graph Inside .. rubric:: Availability * Version 3.0.0 * **Official** function * Version 2.4.0 * New **proposed** function Description ------------------------------------------------------------------------------- **The main characteristics are:** * Using internaly the :doc:`pgr_aStar` algorithm * Returns a cost matrix. * No ordering is performed * let `v` and `u` are nodes on the graph: * when there is no path from `v` to `u`: * no corresponding row is returned * cost from `v` to `u` is :math:`\inf` * when :math:`v = u` then * no corresponding row is returned * cost from `v` to `u` is :math:`0` * When the graph is **undirected** the cost matrix is symmetric Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_aStarCostMatrix(edges_sql, vids [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (start_vid, end_vid, agg_cost) .. rubric:: Using defaults .. code-block:: none pgr_aStarCostMatrix(edges_sql, vids) RETURNS SET OF (start_vid, end_vid, agg_cost) :Example: Cost matrix for vertices :math:`\{1, 2, 3, 4\}` on a **directed** graph .. literalinclude:: doc-aStarCostMatrix.queries :start-after: -- astar q1 :end-before: -- astar q2 .. index:: single: aStarCostMatrix Complete Signature ............................................................................... .. code-block:: none pgr_aStarCostMatrix(edges_sql, vids, [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (start_vid, end_vid, agg_cost) :Example: Symmetric cost matrix for vertices :math:`\{1, 2, 3, 4\}` on an **undirected** graph using heuristic :math:`2` .. literalinclude:: doc-aStarCostMatrix.queries :start-after: -- astar q2 :end-before: -- astar q3 Parameters ------------------------------------------------------------------------------- ================ ====================== ================================================= Parameter Type Description ================ ====================== ================================================= **edges_sql** ``TEXT`` `edges_sql`_ inner query. **vids** ``ARRAY[ANY-INTEGER]`` Array of vertices identifiers. ================ ====================== ================================================= Optional Parameters ............................................................................... .. include:: pgr_aStar.rst :start-after: aStar optional parameters start :end-before: aStar optional parameters end Inner query ------------------------------------------------------------------------------- edges_sql ............................................................................... .. include:: pgRouting-concepts.rst :start-after: xy_edges_sql_start :end-before: xy_edges_sql_end Result Columns -------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_cost_start :end-before: return_cost_end Additional Examples ------------------------------------------------------------------------------- :Example: Use with :doc:`pgr_TSP` .. literalinclude:: doc-aStarCostMatrix.queries :start-after: -- astar q3 :end-before: -- astar q4 See Also ------------------------------------------------------------------------------- * :doc:`aStar-family` * :doc:`cost-category` * :doc:`costMatrix-category` * :doc:`TSP-family` * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/bdAstar/000077500000000000000000000000001414350551100156575ustar00rootroot00000000000000pgrouting-3.3.0/doc/bdAstar/CMakeLists.txt000066400000000000000000000005661414350551100204260ustar00rootroot00000000000000 SET(LOCAL_FILES bdAstar-family.rst pgr_bdAstar.rst pgr_bdAstarCost.rst pgr_bdAstarCostMatrix.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/bdAstar/bdAstar-family.rst000066400000000000000000000123001414350551100212440ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.5 `__ `2.6 `__ Bidirectional A* - Family of functions =============================================================================== .. index from here * :doc:`pgr_bdAstar` - Bidirectional A* algorithm for obtaining paths. * :doc:`pgr_bdAstarCost` - Bidirectional A* algorithm to calculate the cost of the paths. * :doc:`pgr_bdAstarCostMatrix` - Bidirectional A* algorithm to calculate a cost matrix of paths. .. index to here .. toctree:: :hidden: pgr_bdAstar pgr_bdAstarCost pgr_bdAstarCostMatrix Description ------------------------------------------------------------------------------- Based on A* algorithm, the bidirectional search finds a shortest path from a starting vertex (``start_vid``) to an ending vertex (``end_vid``). It runs two simultaneous searches: one forward from the ``start_vid``, and one backward from the ``end_vid``, stopping when the two meet in the middle. This implementation can be used with a directed graph and an undirected graph. The main Characteristics are: - Process is done only on edges with positive costs. - Values are returned when there is a path. - When the starting vertex and ending vertex are the same, there is no path. - The `agg_cost` the non included values `(v, v)` is `0` - When the starting vertex and ending vertex are the different and there is no path: - The `agg_cost` the non included values `(u, v)` is :math:`\infty` - Running time (worse case scenario): :math:`O((E + V) * \log V)` - For large graphs where there is a path bewtween the starting vertex and ending vertex: - It is expected to terminate faster than pgr_astar Signatures ------------------------------------------------------------------------------- Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: xy_edges_sql_start :end-before: xy_edges_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end .. parameters_begin Parameters ------------------------------------------------------------------------------- ======================= ====================== ================================================= Parameter Type Description ======================= ====================== ================================================= **Edges SQL** ``TEXT`` Edges query as described above. **Combinations SQL** ``TEXT`` Combinations query as described above. **start_vid** ``ANY-INTEGER`` Starting vertex identifier. **start_vids** ``ARRAY[ANY-INTEGER]`` Starting vertices identifierers. **end_vid** ``ANY-INTEGER`` Ending vertex identifier. **end_vids** ``ARRAY[ANY-INTEGER]`` Ending vertices identifiers. **directed** ``BOOLEAN`` - Optional. - When ``false`` the graph is considered as Undirected. - Default is ``true`` which considers the graph as Directed. **heuristic** ``INTEGER`` (optional). Heuristic number. Current valid values 0~5. Default ``5`` - 0: h(v) = 0 (Use this value to compare with pgr_dijkstra) - 1: h(v) abs(max(dx, dy)) - 2: h(v) abs(min(dx, dy)) - 3: h(v) = dx * dx + dy * dy - 4: h(v) = sqrt(dx * dx + dy * dy) - 5: h(v) = abs(dx) + abs(dy) **factor** ``FLOAT`` (optional). For units manipulation. :math:`factor > 0`. Default ``1``. see :ref:`astar_factor` **epsilon** ``FLOAT`` (optional). For less restricted results. :math:`epsilon >= 1`. Default ``1``. ======================= ====================== ================================================= .. parameters_end See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/bdAstar/pgr_bdAstar.rst000066400000000000000000000174161414350551100206520ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ pgr_bdAstar =============================================================================== ``pgr_bdAstar`` — Returns the shortest path using Bidirectional A* algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org//libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability: * Version 3.2.0 * New **proposed** function: * pgr_bdAstar(Combinations) * Version 3.0.0 * **Official** function * Version 2.5.0 * Signature change on pgr_bdAstar(One to One) * Old signature no longer supported * New **Proposed** functions: * pgr_bdAstar(One to Many) * pgr_bdAstar(Many to One) * pgr_bdAstar(Many to Many) * Version 2.0.0 * **Official** pgr_bdAstar(One to One) Description ------------------------------------------------------------------------------- **The main characteristics are:** .. include:: aStar-family.rst :start-after: astar general info start :end-before: astar general info end * The results are equivalent to the union of the results of the `pgr_bdAStar(` `One to One`_ `)` on the: * `pgr_bdAstar(` `One to Many`_ `)` * `pgr_bdAstar(` `Many to One`_ `)` * `pgr_bdAstar(` `Many to Many`_ `)` * ``start_vid`` and ``end_vid`` in the result is used to distinguish to which path it belongs. Signature ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_bdAstar(Edges SQL, from_vid, to_vid, [, directed] [, heuristic] [, factor] [, epsilon]) pgr_bdAstar(Edges SQL, from_vid, to_vids [, directed] [, heuristic] [, factor] [, epsilon]) pgr_bdAstar(Edges SQL, from_vids, to_vid [, directed] [, heuristic] [, factor] [, epsilon]) pgr_bdAstar(Edges SQL, from_vids, to_vids [, directed] [, heuristic] [, factor] [, epsilon]) pgr_bdAstar(Edges SQL, Combinations SQL [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (seq, path_seq [, start_vid] [, end_vid], node, edge, cost, agg_cost) OR EMPTY SET Optional parameters are `named parameters` and have a default value. .. rubric:: Using defaults .. code-block:: none pgr_bdAstar(Edges SQL, start_vid, end_vid) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) :Example: From vertex :math:`2` to vertex :math:`3` on a **directed** graph .. literalinclude:: doc-pgr_bdAstar.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: bdAstar(One to One) One to One ............................................................................... .. code-block:: none pgr_bdAstar(Edges SQL, from_vid, to_vid, [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) :Example: From vertex :math:`2` to vertex :math:`3` on a **directed** graph using heuristic :math:`2` .. literalinclude:: doc-pgr_bdAstar.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: bdAstar(One to Many) One to many ............................................................................... .. code-block:: none pgr_bdAstar(Edges SQL, from_vid, to_vids [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (seq, path_seq, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertices :math:`\{3, 11\}` on a **directed** graph using heuristic :math:`3` and factor :math:`3.5` .. literalinclude:: doc-pgr_bdAstar.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: bdAstar(Many to One) Many to One ............................................................................... .. code-block:: none pgr_bdAstar(Edges SQL, from_vids, to_vid [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (seq, path_seq, start_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{2, 7\}` to vertex :math:`3` on an **undirected** graph using heuristic :math:`4` .. literalinclude:: doc-pgr_bdAstar.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: bdAstar(Many to Many) Many to Many ............................................................................... .. code-block:: none pgr_bdAstar(Edges SQL, from_vids, to_vids [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{2, 7\}` to vertices :math:`\{3, 11\}` on a **directed** graph using factor :math:`0.5` .. literalinclude:: doc-pgr_bdAstar.queries :start-after: -- q5 :end-before: -- q6 .. index:: single: bdAstar(Combinations) - Proposed on v3.2 Combinations ............................................................................... .. code-block:: none pgr_bdAstar(Edges SQL, Combinations SQL [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: Using a combinations table on a **directed** graph using factor :math:`0.5`. .. literalinclude:: doc-pgr_bdAstar.queries :start-after: -- q6 :end-before: -- q7 Parameters ------------------------------------------------------------------------------- .. include:: pgr_aStar.rst :start-after: aStar parameters start :end-before: aStar parameters end Optional Parameters ............................................................................... .. include:: pgr_aStar.rst :start-after: aStar optional parameters start :end-before: aStar optional parameters end Inner queries ------------------------------------------------------------------------------- Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: xy_edges_sql_start :end-before: xy_edges_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_path_start :end-before: return_path_end See Also ------------------------------------------------------------------------------- * :doc:`aStar-family` * :doc:`bdAstar-family` * :doc:`sampledata` network. * https://www.boost.org/libs/graph/doc/astar_search.html * https://en.wikipedia.org/wiki/A*_search_algorithm .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/bdAstar/pgr_bdAstarCost.rst000066400000000000000000000157431414350551100215040ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ pgr_bdAstarCost =============================================================================== ``pgr_bdAstarCost`` — Returns the aggregate cost shortest path using :doc:`pgr_aStar` algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/astar_search.html Boost Graph Inside .. rubric:: Availability * Version 3.2.0 * New **proposed** function: * pgr_bdAstarCost(Combinations) * Version 3.0.0 * **Official** function * Version 2.5.0 * New **Proposed** function Description ------------------------------------------------------------------------------- .. include:: aStar-family.rst :start-after: astar general info start :end-before: astar general info end * The results are equivalent to the union of the results of the `pgr_bdAstarCost(` `One to One`_ `)` on the: * `pgr_bdAstarCost(` `One to Many`_ `)` * `pgr_bdAstarCost(` `Many to One`_ `)` * `pgr_bdAstarCost(` `Many to Many`_ `)` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_bdAstarCost(Edges SQL, from_vid, to_vid [, directed] [, heuristic] [, factor] [, epsilon]) pgr_bdAstarCost(Edges SQL, from_vid, to_vids [, directed] [, heuristic] [, factor] [, epsilon]) pgr_bdAstarCost(Edges SQL, from_vids, to_vid [, directed] [, heuristic] [, factor] [, epsilon]) pgr_bdAstarCost(Edges SQL, from_vids, to_vids [, directed] [, heuristic] [, factor] [, epsilon]) pgr_bdAstarCost(Edges SQL, Combinations SQL [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET Optional parameters are `named parameters` and have a default value. .. rubric:: Using defaults .. code-block:: none pgr_bdAstarCost(Edges SQL, from_vid, to_vid) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` on a **directed** graph .. literalinclude:: doc-pgr_bdAstarCost.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: bdAstarCost(One to One) One to One ............................................................................... .. code-block:: none pgr_bdAstarCost(Edges SQL, from_vid, to_vid [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` on an **directed** graph using heuristic :math:`2` .. literalinclude:: doc-pgr_bdAstarCost.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: bdAstarCost(One to Many) One to many ............................................................................... .. code-block:: none pgr_bdAstarCost(Edges SQL, from_vid, to_vids [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: From vertex `2` to vertices :math:`\{3, 11\}` on a **directed** graph using heuristic `3` and factor :math:`3.5` .. literalinclude:: doc-pgr_bdAstarCost.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: bdAstarCost(Many to One) Many to One ............................................................................... .. code-block:: none pgr_bdAstarCost(Edges SQL, from_vids, to_vid [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{7, 2\}` to vertex :math:`3` on a **undirected** graph using heuristic :math:`4` .. literalinclude:: doc-pgr_bdAstarCost.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: bdAstarCost(Many to Many) Many to Many ............................................................................... .. code-block:: none pgr_bdAstarCost(Edges SQL, from_vids, to_vids [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{7, 2\}` to vertices :math:`\{3, 11\}` on a **directed** using heuristic :math:`5` and factor :math:`0.5` .. literalinclude:: doc-pgr_bdAstarCost.queries :start-after: -- q5 :end-before: -- q6 .. index:: single: bdAstarCost(Combinations) - Proposed on v3.2 Combinations ............................................................................... .. code-block:: none pgr_bdAstarCost(Edges SQL, Combinations SQL [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: Using a combinations table on a **directed** graph using factor :math:`0.5`. .. literalinclude:: doc-pgr_bdAstarCost.queries :start-after: -- q6 :end-before: -- q7 Parameters ------------------------------------------------------------------------------- .. include:: pgr_aStar.rst :start-after: aStar parameters start :end-before: aStar parameters end Optional Parameters ............................................................................... .. include:: pgr_aStar.rst :start-after: aStar optional parameters start :end-before: aStar optional parameters end Inner queries ------------------------------------------------------------------------------- Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: xy_edges_sql_start :end-before: xy_edges_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_cost_start :end-before: return_cost_end See Also ------------------------------------------------------------------------------- * :doc:`bdAstar-family` * :doc:`cost-category` * :doc:`costMatrix-category` * Examples use :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/bdAstar/pgr_bdAstarCostMatrix.rst000066400000000000000000000115661414350551100226700ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ pgr_bdAstarCostMatrix =============================================================================== ``pgr_bdAstarCostMatrix`` - Calculates the a cost matrix using :doc:`pgr_aStar`. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability * Version 3.0.0 * **Official** function * Version 2.5.0 * New **Proposed** function Description ------------------------------------------------------------------------------- **The main characteristics are:** * Using internaly the :doc:`pgr_bdAstar` algorithm * Returns a cost matrix. * No ordering is performed * let `v` and `u` are nodes on the graph: * when there is no path from `v` to `u`: * no corresponding row is returned * cost from `v` to `u` is :math:`\inf` * when :math:`v = u` then * no corresponding row is returned * cost from `v` to `u` is :math:`0` * When the graph is **undirected** the cost matrix is symmetric Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_bdAstarCostMatrix(edges_sql, vids [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (start_vid, end_vid, agg_cost) .. rubric:: Using defaults .. code-block:: none pgr_bdAstarCostMatrix(edges_sql, vids) RETURNS SET OF (start_vid, end_vid, agg_cost) :Example: Cost matrix for vertices :math:`\{1, 2, 3, 4\}` on a **directed** graph .. literalinclude:: doc-pgr_bdAstarCostMatrix.queries :start-after: -- bdAstar q1 :end-before: -- bdAstar q2 .. index:: single: bdaStarCostMatrix Complete Signature ............................................................................... .. code-block:: none pgr_bdAstarCostMatrix(edges_sql, vids [, directed] [, heuristic] [, factor] [, epsilon]) RETURNS SET OF (start_vid, end_vid, agg_cost) :Example: Symmetric cost matrix for vertices :math:`\{1, 2, 3, 4\}` on an **undirected** graph using heuristic :math:`2` .. literalinclude:: doc-pgr_bdAstarCostMatrix.queries :start-after: -- bdAstar q2 :end-before: -- bdAstar q3 Parameters ------------------------------------------------------------------------------- ================ ====================== ================================================= Parameter Type Description ================ ====================== ================================================= **edges_sql** ``TEXT`` `edges_sql`_ inner query. **vids** ``ARRAY[ANY-INTEGER]`` Array of vertices identifiers. ================ ====================== ================================================= Optional Parameters ............................................................................... .. include:: pgr_aStar.rst :start-after: aStar optional parameters start :end-before: aStar optional parameters end Inner query ------------------------------------------------------------------------------- edges_sql ............................................................................... .. include:: pgRouting-concepts.rst :start-after: xy_edges_sql_start :end-before: xy_edges_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_cost_start :end-before: return_cost_end Additional Examples ------------------------------------------------------------------------------- :Example: Use with :doc:`pgr_TSP` .. literalinclude:: doc-pgr_bdAstarCostMatrix.queries :start-after: -- bdAstar q3 :end-before: -- bdAstar q4 See Also ------------------------------------------------------------------------------- * :doc:`aStar-family` * :doc:`bdAstar-family` * :doc:`cost-category` * :doc:`costMatrix-category` * :doc:`TSP-family` * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/bdDijkstra/000077500000000000000000000000001414350551100163605ustar00rootroot00000000000000pgrouting-3.3.0/doc/bdDijkstra/CMakeLists.txt000066400000000000000000000006021414350551100211160ustar00rootroot00000000000000 SET(LOCAL_FILES bdDijkstra-family.rst pgr_bdDijkstraCost.rst pgr_bdDijkstraCostMatrix.rst pgr_bdDijkstra.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/bdDijkstra/bdDijkstra-family.rst000066400000000000000000000055531414350551100224620ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | .. rubric:: Previous versions of this page * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ Bidirectional Dijkstra - Family of functions =============================================================================== .. index from here * :doc:`pgr_bdDijkstra` - Bidirectional Dijkstra algorithm for the shortest paths. * :doc:`pgr_bdDijkstraCost` - Bidirectional Dijkstra to calculate the cost of the shortest paths * :doc:`pgr_bdDijkstraCostMatrix` - Bidirectional Dijkstra algorithm to create a matrix of costs of the shortest paths. .. index to here .. toctree:: :hidden: pgr_bdDijkstra pgr_bdDijkstraCost pgr_bdDijkstraCostMatrix Synopsis ------------------------------------------------------------------------------- Based on Dijkstra's algorithm, the bidirectional search finds a shortest path a starting vertex (``start_vid``) to an ending vertex (``end_vid``). It runs two simultaneous searches: one forward from the source, and one backward from the target, stopping when the two meet in the middle. This implementation can be used with a directed graph and an undirected graph. Characteristics ------------------------------------------------------------------------------- The main Characteristics are: .. description start - Process is done only on edges with positive costs. - Values are returned when there is a path. - When the starting vertex and ending vertex are the same, there is no path. - The `agg_cost` the non included values `(v, v)` is `0` - When the starting vertex and ending vertex are the different and there is no path: - The `agg_cost` the non included values `(u, v)` is :math:`\infty` - Running time (worse case scenario): :math:`O((V \log V + E))` - For large graphs where there is a path bewtween the starting vertex and ending vertex: - It is expected to terminate faster than pgr_dijkstra .. description end See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/bdDijkstra/pgr_bdDijkstra.rst000066400000000000000000000200301414350551100220360ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ pgr_bdDijkstra =============================================================================== ``pgr_bdDijkstra`` — Returns the shortest path(s) using Bidirectional Dijkstra algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability: * Version 3.2.0 * New **proposed** function: * pgr_bdDijkstra(Combinations) * Version 3.0.0 * **Official** function * Version 2.5.0 * New **Proposed** functions: * pgr_bdDijkstra(One to Many) * pgr_bdDijkstra(Many to One) * pgr_bdDijkstra(Many to Many) * Version 2.4.0 * Signature change on pgr_bdDijsktra(One to One) * Old signature no longer supported * Version 2.0.0 * **Official** pgr_bdDijkstra(One to One) Description ------------------------------------------------------------------------------- **The main characteristics are:** .. include:: bdDijkstra-family.rst :start-after: description start :end-before: description end Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_bdDijkstra(Edges SQL, start_vid, end_vid [, directed]) pgr_bdDijkstra(Edges SQL, start_vid, end_vids [, directed]) pgr_bdDijkstra(Edges SQL, start_vids, end_vid [, directed]) pgr_bdDijkstra(Edges SQL, start_vids, end_vids [, directed]) pgr_bdDijkstra(Edges SQL, Combinations SQL [, directed]) RETURNS SET OF (seq, path_seq [, start_vid] [, end_vid], node, edge, cost, agg_cost) OR EMPTY SET .. rubric:: Using defaults .. code-block:: none pgr_bdDijkstra(Edges SQL, start_vid, end_vid) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` .. literalinclude:: doc-pgr_bdDijkstra.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: bdDijkstra(One to One) One to One ............................................................................... .. code-block:: none pgr_bdDijkstra(Edges SQL, start_vid, end_vid [, directed]) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` on an **undirected** graph .. literalinclude:: doc-pgr_bdDijkstra.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: bdDijkstra(One to Many) One to many ............................................................................... .. code-block:: none pgr_bdDijkstra(Edges SQL, start_vid, end_vids [, directed]) RETURNS SET OF (seq, path_seq, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertices :math:`\{3, 11\}` on a **directed** graph .. literalinclude:: doc-pgr_bdDijkstra.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: bdDijkstra(Many to One) Many to One ............................................................................... .. code-block:: none pgr_bdDijkstra(Edges SQL, start_vids, end_vid [, directed]) RETURNS SET OF (seq, path_seq, start_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{2, 7\}` to vertex :math:`3` on a **directed** graph .. literalinclude:: doc-pgr_bdDijkstra.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: bdDijkstra(Many to Many) Many to Many ............................................................................... .. code-block:: none pgr_bdDijkstra(Edges SQL, start_vids, end_vids [, directed]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{2, 7\}` to vertices :math:`\{3, 11\}` on a **directed** graph .. literalinclude:: doc-pgr_bdDijkstra.queries :start-after: -- q5 :end-before: -- q6 .. index:: single: bdDijkstra(Combinations) - Proposed on v3.2 Combinations ............................................................................... .. code-block:: none pgr_bdDijkstra(Edges SQL, Combinations SQL [, directed]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: Using a combinations table on a **directed** graph. .. literalinclude:: doc-pgr_bdDijkstra.queries :start-after: -- q6 :end-before: -- q7 Parameters ------------------------------------------------------------------------------- .. bdDijkstra_parameters_start ============================= ================== ======== ================================================= Parameter Type Default Description ============================= ================== ======== ================================================= **Edges SQL** ``TEXT`` `Edges query` as described below **Combinations SQL** ``TEXT`` `Combinations query` as described below **start_vid** ``BIGINT`` Identifier of the starting vertex of the path. **start_vids** ``ARRAY[BIGINT]`` Array of identifiers of starting vertices. **end_vid** ``BIGINT`` Identifier of the ending vertex of the path. **end_vids** ``ARRAY[BIGINT]`` Array of identifiers of ending vertices. **directed** ``BOOLEAN`` ``true`` - When ``true`` Graph is considered `Directed` - When ``false`` the graph is considered as `Undirected`. ============================= ================== ======== ================================================= .. bdDijkstra_parameters_end Inner queries ------------------------------------------------------------------------------- Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_path_start :end-before: return_path_end See Also ------------------------------------------------------------------------------- * The queries use the :doc:`sampledata` network. * :doc:`bdDijkstra-family` * https://www.cs.princeton.edu/courses/archive/spr06/cos423/Handouts/EPP%20shortest%20path%20algorithms.pdf * https://en.wikipedia.org/wiki/Bidirectional_search .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/bdDijkstra/pgr_bdDijkstraCost.rst000066400000000000000000000145341414350551100227030ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ pgr_bdDijkstraCost =============================================================================== ``pgr_bdDijkstraCost`` — Returns the shortest path(s)'s cost using Bidirectional Dijkstra algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability: * Version 3.2.0 * New **proposed** function: * pgr_bdDijkstraCost(Combinations) * Version 3.0.0 * **Official** function * Version 2.5.0 * New **proposed** function Description ------------------------------------------------------------------------------- **The main characteristics are:** .. include:: bdDijkstra-family.rst :start-after: description start :end-before: description end Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_bdDijkstraCost(Edges SQL, from_vid, to_vid [, directed]) pgr_bdDijkstraCost(Edges SQL, from_vid, to_vids [, directed]) pgr_bdDijkstraCost(Edges SQL, from_vids, to_vid [, directed]) pgr_bdDijkstraCost(Edges SQL, from_vids, to_vids [, directed]) pgr_bdDijkstraCost(Edges SQL, Combinations SQL [, directed]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET .. rubric:: Using default .. code-block:: none pgr_bdDijkstraCost(Edges SQL, from_vid, to_vid) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` on a **directed** graph .. literalinclude:: doc-pgr_bdDijkstraCost.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: bdDijkstraCost(One to One) One to One ............................................................................... .. code-block:: none pgr_bdDijkstraCost(Edges SQL, from_vid, to_vid [, directed]) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` on an **undirected** graph .. literalinclude:: doc-pgr_bdDijkstraCost.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: bdDijkstraCost(One to Many) One to Many ............................................................................... .. code-block:: none pgr_bdDijkstraCost(Edges SQL, from_vid, to_vids [, directed]) RETURNS SET OF (seq, path_seq, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertices :math:`\{3, 11\}` on a **directed** graph .. literalinclude:: doc-pgr_bdDijkstraCost.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: bdDijkstraCost(Many to One) Many to One ............................................................................... .. code-block:: none pgr_bdDijkstraCost(Edges SQL, from_vids, to_vids [, directed]) RETURNS SET OF (seq, path_seq, start_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{2, 7\}` to vertex :math:`3` on a **directed** graph .. literalinclude:: doc-pgr_bdDijkstraCost.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: bdDijkstraCost(Many to Many) Many to Many ............................................................................... .. code-block:: none pgr_bdDijkstraCost(Edges SQL, start_vids, end_vids [, directed]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{2, 7\}` to vertices :math:`\{3, 11\}` on a **directed** graph .. literalinclude:: doc-pgr_bdDijkstraCost.queries :start-after: -- q5 :end-before: -- q6 .. index:: single: bdDijkstraCost(Combinations) - Proposed on v3.2 Combinations ............................................................................... .. code-block:: none pgr_bdDijkstra(Edges SQL, Combinations SQL [, directed]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: Using a combinations table on a **directed** graph. .. literalinclude:: doc-pgr_bdDijkstraCost.queries :start-after: -- q6 :end-before: -- q7 Parameters ------------------------------------------------------------------------------- .. include:: pgr_bdDijkstra.rst :start-after: bdDijkstra_parameters_start :end-before: bdDijkstra_parameters_end Inner queries ------------------------------------------------------------------------------- Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_cost_start :end-before: return_cost_end See Also ------------------------------------------------------------------------------- * The queries use the :doc:`sampledata` network. * :doc:`pgr_bdDijkstra` * https://www.cs.princeton.edu/courses/archive/spr06/cos423/Handouts/EPP%20shortest%20path%20algorithms.pdf * https://en.wikipedia.org/wiki/Bidirectional_search .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/bdDijkstra/pgr_bdDijkstraCostMatrix.rst000066400000000000000000000105601414350551100240630ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ pgr_bdDijkstraCostMatrix =============================================================================== ``pgr_bdDijkstraCostMatrix`` - Calculates the a cost matrix using :doc:`pgr_bdDijkstra`. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability: * Version 3.0.0 * **Official** function * Version 2.5.0 * New **proposed** function Description ------------------------------------------------------------------------------- **The main characteristics are:** .. include:: bdDijkstra-family.rst :start-after: description start :end-before: description end * Returns a cost matrix. Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_bdDijkstraCostMatrix(edges_sql, start_vids [, directed]) RETURNS SET OF (start_vid, end_vid, agg_cost) .. index:: single: bdDijkstraCostMatrix .. rubric:: Using default .. code-block:: none pgr_bdDijkstraCostMatrix(edges_sql, start_vid) RETURNS SET OF (start_vid, end_vid, agg_cost) :Example: Cost matrix for vertices :math:`\{1, 2, 3, 4\}` on a **directed** graph .. literalinclude:: doc-pgr_bdDijkstraCostMatrix.queries :start-after: -- bdDijkstra q1 :end-before: -- bdDijkstra q2 Complete Signature ............................................................................... .. code-block:: none pgr_bdDijkstraCostMatrix(edges_sql, start_vids [, directed]) RETURNS SET OF (start_vid, end_vid, agg_cost) :Example: Symmetric cost matrix for vertices :math:`\{1, 2, 3, 4\}` on an **undirected** graph .. literalinclude:: doc-pgr_bdDijkstraCostMatrix.queries :start-after: -- bdDijkstra q2 :end-before: -- bdDijkstra q3 Parameters ------------------------------------------------------------------------------- ================ ====================== ================================================= Parameter Type Description ================ ====================== ================================================= **edges_sql** ``TEXT`` Edges SQL query as described above. **start_vids** ``ARRAY[ANY-INTEGER]`` Array of identifiers of the vertices. **directed** ``BOOLEAN`` (optional). When ``false`` the graph is considered as Undirected. Default is ``true`` which considers the graph as Directed. ================ ====================== ================================================= Inner query ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_cost_start :end-before: return_cost_end Additional Examples ------------------------------------------------------------------------------- :Example: Use with tsp .. literalinclude:: doc-pgr_bdDijkstraCostMatrix.queries :start-after: -- bdDijkstra q3 :end-before: -- bdDijkstra q4 See Also ------------------------------------------------------------------------------- * :doc:`pgr_bdDijkstra` * :doc:`costMatrix-category` * :doc:`pgr_TSP` * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/bellman_ford/000077500000000000000000000000001414350551100167235ustar00rootroot00000000000000pgrouting-3.3.0/doc/bellman_ford/CMakeLists.txt000066400000000000000000000005051414350551100214630ustar00rootroot00000000000000 SET(LOCAL_FILES pgr_bellmanFord.rst pgr_edwardMoore.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/bellman_ford/pgr_bellmanFord.rst000066400000000000000000000213601414350551100225540ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_bellmanFord - Experimental =============================================================================== ``pgr_bellmanFord`` — Returns the shortest path(s) using Bellman-Ford algorithm. In particular, the Bellman-Ford algorithm implemented by Boost.Graph. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/bellman_ford_shortest.html Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.2.0 * New **experimental** function: * pgr_bellmanFord(Combinations) * Version 3.0.0 * New **experimental** function Description ------------------------------------------------------------------------------- Bellman-Ford's algorithm, is named after Richard Bellman and Lester Ford, who first published it in 1958 and 1956, respectively. It is a graph search algorithm that computes shortest paths from a starting vertex (``start_vid``) to an ending vertex (``end_vid``) in a graph where some of the edge weights may be negative number. Though it is more versatile, it is slower than Dijkstra's algorithm/ This implementation can be used with a directed graph and an undirected graph. The main characteristics are: - Process is valid for edges with both positive and negative edge weights. - Values are returned when there is a path. - When the start vertex and the end vertex are the same, there is no path. The agg_cost would be 0. - When the start vertex and the end vertex are different, and there exists a path between them without having a *negative cycle*. The agg_cost would be some finite value denoting the shortest distance between them. - When the start vertex and the end vertex are different, and there exists a path between them, but it contains a *negative cycle*. In such case, agg_cost for those vertices keep on decreasing furthermore, Hence agg_cost can’t be defined for them. - When the start vertex and the end vertex are different, and there is no path. The agg_cost is :math:`\infty`. - For optimization purposes, any duplicated value in the `start_vids` or `end_vids` are ignored. - The returned values are ordered: - `start_vid` ascending - `end_vid` ascending - Running time: :math:`O(| start\_vids | * ( V * E))` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_bellmanFord(Edges SQL, from_vid, to_vid [, directed]) pgr_bellmanFord(Edges SQL, from_vid, to_vids [, directed]) pgr_bellmanFord(Edges SQL, from_vids, to_vid [, directed]) pgr_bellmanFord(Edges SQL, from_vids, to_vids [, directed]) pgr_bellmanFord(Edges SQL, Combinations SQL [, directed]) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET .. rubric:: Using defaults .. code-block:: none pgr_bellmanFord(Edges SQL, start_vid, end_vid) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` on a **directed** graph .. literalinclude:: doc-pgr_bellmanFord.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: bellman_ford(One to One) - Experimental on v3.0 One to One ............................................................................... .. code-block:: none pgr_bellmanFord(Edges SQL, from_vid, to_vid [, directed]) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` on an **undirected** graph .. literalinclude:: doc-pgr_bellmanFord.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: bellmanFord(One to Many) - Experimental on v3.0 One to many ............................................................................... .. code-block:: none pgr_bellmanFord(Edges SQL, from_vid, to_vids [, directed]) RETURNS SET OF (seq, path_seq, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertices :math:`\{ 3, 5\}` on an **undirected** graph .. literalinclude:: doc-pgr_bellmanFord.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: bellman_ford(Many to One) - Experimental on v3.0 Many to One ............................................................................... .. code-block:: none pgr_bellmanFord(Edges SQL, from_vids, to_vid [, directed]) RETURNS SET OF (seq, path_seq, start_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{2, 11\}` to vertex :math:`5` on a **directed** graph .. literalinclude:: doc-pgr_bellmanFord.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: bellmanFord(Many to Many) - Experimental on v3.0 Many to Many ............................................................................... .. code-block:: none pgr_bellmanFord(Edges SQL, from_vids, to_vids [, directed]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{2, 11\}` to vertices :math:`\{3, 5\}` on an **undirected** graph .. literalinclude:: doc-pgr_bellmanFord.queries :start-after: -- q5 :end-before: -- q6 .. index:: single: bellmanFord(Combinations) - Experimental on v3.2 Combinations ............................................................................... .. code-block:: none pgr_bellmanFord(Edges SQL, Combinations SQL [, directed]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: Using a combinations table on an **undirected** graph. .. literalinclude:: doc-pgr_bellmanFord.queries :start-after: -- q6 :end-before: -- q7 Parameters ------------------------------------------------------------------------------- .. pgr_bellmanFord_parameters_start .. rubric:: Description of the parameters of the signatures ===================== ================== ======== ================================================= Parameter Type Default Description ===================== ================== ======== ================================================= **Edges SQL** ``TEXT`` Edges query as described below. **Combinations SQL** ``TEXT`` Combinations query as described below. **start_vid** ``BIGINT`` Identifier of the starting vertex of the path. **start_vids** ``ARRAY[BIGINT]`` Array of identifiers of starting vertices. **end_vid** ``BIGINT`` Identifier of the ending vertex of the path. **end_vids** ``ARRAY[BIGINT]`` Array of identifiers of ending vertices. **directed** ``BOOLEAN`` ``true`` - When ``true`` Graph is considered `Directed` - When ``false`` the graph is considered as `Undirected`. ===================== ================== ======== ================================================= .. pgr_bellmanFord_parameters_end Inner Queries ------------------------------------------------------------------------------- Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end Results Columns ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_path_short_start :end-before: return_path_short_end See Also ------------------------------------------------------------------------------- * https://en.wikipedia.org/wiki/Bellman%E2%80%93Ford_algorithm * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/bellman_ford/pgr_edwardMoore.rst000066400000000000000000000227201414350551100226000ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: http://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ pgr_edwardMoore - Experimental =============================================================================== ``pgr_edwardMoore`` — Returns the shortest path(s) using Edward-Moore algorithm. Edward Moore’s ​ Algorithm is an improvement of the Bellman-Ford Algorithm. .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.2.0 * New **experimental** function: * pgr_edwardMoore(Combinations) * Version 3.0.0 * New **experimental** function Description ------------------------------------------------------------------------------- Edward Moore’s Algorithm is an improvement of the Bellman-Ford Algorithm. It can compute the shortest paths from a single source vertex to all other vertices in a weighted directed graph. The main difference between Edward Moore's Algorithm and Bellman Ford's Algorithm lies in the run time. The worst-case running time of the algorithm is :math:`O(| V | * | E |)` similar to the time complexity of Bellman-Ford algorithm. However, experiments suggest that this algorithm has an average running time complexity of :math:`O( | E | )` for random graphs. This is significantly faster in terms of computation speed. Thus, the algorithm is at-best, significantly faster than Bellman-Ford algorithm and is at-worst, as good as Bellman-Ford algorithm The main characteristics are: - Values are returned when there is a path. - When the starting vertex and ending vertex are the same, there is no path. - The `agg_cost` the non included values `(v, v)` is `0` - When the starting vertex and ending vertex are the different and there is no path: - The `agg_cost` the non included values `(u, v)` is :math:`\infty` - For optimization purposes, any duplicated value in the `start_vids` or `end_vids` are ignored. - The returned values are ordered: - `start_vid` ascending - `end_vid` ascending - Running time: - Worst case: :math:`O(| V | * | E |)` - Average case: :math:`O( | E | )` Signatures ------------------------------------------------------------------------------- .. code-block:: none pgr_edwardMoore(Edges SQL, start_vid, end_vid [, directed]) pgr_edwardMoore(Edges SQL, start_vid, end_vids [, directed]) pgr_edwardMoore(Edges SQL, start_vids, end_vid [, directed]) pgr_edwardMoore(Edges SQL, start_vids, end_vids [, directed]) pgr_edwardMoore(Edges SQL, Combinations SQL [, directed]) RETURNS SET OF (seq, path_seq [, start_vid] [, end_vid], node, edge, cost, agg_cost) OR EMPTY SET .. code-block:: none pgr_edwardMoore(Edges SQL, start_vid, end_vid) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) or EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` on a **directed** graph .. literalinclude:: doc-pgr_edwardMoore.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: edwardMoore(One to One) - Experimental on v3.0 One to One ............................................................................... .. code-block:: none pgr_edwardMoore(Edges SQL, start_vid, end_vid [, directed]); RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` on an **undirected** graph .. literalinclude:: doc-pgr_edwardMoore.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: edwardMoore(One to Many) - Experimental on v3.0 One to many ............................................................................... .. code-block:: none pgr_edwardMoore(Edges SQL, start_vid, end_vids [, directed]); RETURNS SET OF (seq, path_seq, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertices :math:`\{3, 5\}` on an **undirected** graph .. literalinclude:: doc-pgr_edwardMoore.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: edwardMoore(Many to One) - Experimental on v3.0 Many to One ............................................................................... .. code-block:: none pgr_edwardMoore(Edges SQL, start_vids, end_vid [, directed]); RETURNS SET OF (seq, path_seq, start_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{2, 11\}` to vertex :math:`5` on a **directed** graph .. literalinclude:: doc-pgr_edwardMoore.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: edwardMoore(Many to Many) - Experimental on v3.0 Many to Many ............................................................................... .. code-block:: none pgr_edwardMoore(Edges SQL, start_vids, end_vids [, directed]); RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{2, 11\}` to vertices :math:`\{3, 5\}` on an **undirected** graph .. literalinclude:: doc-pgr_edwardMoore.queries :start-after: -- q5 :end-before: -- q6 .. index:: single: edwardMoore(Combinations) - Experimental on v3.2 Combinations ............................................................................... .. code-block:: none pgr_edwardMoore(Edges SQL, Combinations SQL [, directed]); RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: Using a combinations table on an **undirected** graph. .. literalinclude:: doc-pgr_edwardMoore.queries :start-after: -- q6 :end-before: -- q7 Parameters ------------------------------------------------------------------------------- .. pgr_edwardMoore_parameters_start ===================== ================== ======== ================================================= Parameter Type Default Description ===================== ================== ======== ================================================= **Edges SQL** ``TEXT`` Edges query as described below. **Combinations SQL** ``TEXT`` Combinations query as described below. **start_vid** ``BIGINT`` Identifier of the starting vertex of the path. **start_vids** ``ARRAY[BIGINT]`` Array of identifiers of starting vertices. **end_vid** ``BIGINT`` Identifier of the ending vertex of the path. **end_vids** ``ARRAY[BIGINT]`` Array of identifiers of ending vertices. **directed** ``BOOLEAN`` ``true`` - When ``true`` Graph is considered `Directed` - When ``false`` the graph is considered as `Undirected`. ===================== ================== ======== ================================================= .. pgr_edwardMoore_parameters_end Inner queries ------------------------------------------------------------------------------- Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end Return Columns ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_path_start :end-before: return_path_end Example Application ------------------------------------------------------------------------------- The examples of this section are based on the :doc:`sampledata` network. The examples include combinations from starting vertices 2 and 11 to ending vertices 3 and 5 in a directed and undirected graph with and with out reverse_cost. :Examples: For queries marked as ``directed`` with ``cost`` and ``reverse_cost`` columns The examples in this section use the following :ref:`fig1` .. literalinclude:: doc-pgr_edwardMoore.queries :start-after: -- q8 :end-before: -- q9 :Examples: For queries marked as ``undirected`` with ``cost`` and ``reverse_cost`` columns The examples in this section use the following :ref:`fig2` .. literalinclude:: doc-pgr_edwardMoore.queries :start-after: -- q10 :end-before: -- q11 :Examples: For queries marked as ``directed`` with ``cost`` column The examples in this section use the following :ref:`fig3` .. literalinclude:: doc-pgr_edwardMoore.queries :start-after: -- q12 :end-before: -- q13 :Examples: For queries marked as ``undirected`` with ``cost`` column The examples in this section use the following :ref:`fig4` .. literalinclude:: doc-pgr_edwardMoore.queries :start-after: -- q14 :end-before: -- q15 See Also ------------------------------------------------------------------------------- * https://en.wikipedia.org/wiki/Shortest_Path_Faster_Algorithm .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/breadthFirstSearch/000077500000000000000000000000001414350551100200465ustar00rootroot00000000000000pgrouting-3.3.0/doc/breadthFirstSearch/CMakeLists.txt000066400000000000000000000005351414350551100226110ustar00rootroot00000000000000 SET(LOCAL_FILES pgr_breadthFirstSearch.rst pgr_binaryBreadthFirstSearch.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/breadthFirstSearch/pgr_binaryBreadthFirstSearch.rst000066400000000000000000000242461414350551100263740ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: http://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ pgr_binaryBreadthFirstSearch - Experimental =============================================================================== ``pgr_binaryBreadthFirstSearch`` — Returns the shortest path(s) in a binary graph. Any graph whose edge-weights belongs to the set {0,X}, where 'X' is any non-negative real integer, is termed as a 'binary graph'. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/breadth_first_search.html Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.2.0 * New **experimental** function: * pgr_binaryBreadthFirstSearch(Combinations) * Version 3.0.0 * New **experimental** function Description ------------------------------------------------------------------------------- It is well-known that the shortest paths between a single source and all other vertices can be found using Breadth First Search in :math:`O(|E|)` in an unweighted graph, i.e. the distance is the minimal number of edges that you need to traverse from the source to another vertex. We can interpret such a graph also as a weighted graph, where every edge has the weight 1. If not all edges in graph have the same weight, that we need a more general algorithm, like Dijkstra's Algorithm which runs in :math:`O(|E|log|V|)` time. However if the weights are more constrained, we can use a faster algorithm. This algorithm, termed as 'Binary Breadth First Search' as well as '0-1 BFS', is a variation of the standard Breadth First Search problem to solve the SSSP (single-source shortest path) problem in :math:`O(|E|)`, if the weights of each edge belongs to the set {0,X}, where 'X' is any non-negative real integer. **The main Characteristics are:** - Process is done only on 'binary graphs'. ('Binary Graph': Any graph whose edge-weights belongs to the set {0,X}, where 'X' is any non-negative real integer.) - For optimization purposes, any duplicated value in the `start_vids` or `end_vids` are ignored. - The returned values are ordered: - `start_vid` ascending - `end_vid` ascending - Running time: :math:`O(| start\_vids | * |E|)` Signatures ------------------------------------------------------------------------------- .. code-block:: none pgr_binaryBreadthFirstSearch(Edges SQL, start_vid, end_vid [, directed]) pgr_binaryBreadthFirstSearch(Edges SQL, start_vid, end_vids [, directed]) pgr_binaryBreadthFirstSearch(Edges SQL, start_vids, end_vid [, directed]) pgr_binaryBreadthFirstSearch(Edges SQL, start_vids, end_vids [, directed]) pgr_binaryBreadthFirstSearch(Edges SQL, Combinations SQL [, directed]) RETURNS SET OF (seq, path_seq [, start_vid] [, end_vid], node, edge, cost, agg_cost) OR EMPTY SET .. code-block:: none pgr_binaryBreadthFirstSearch(Edges SQL, start_vid, end_vid) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) or EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` on a **directed** binary graph .. literalinclude:: doc-pgr_binaryBreadthFirstSearch.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: binaryBreadthFirstSearch(One to One) - Experimental on v3.0 One to One ............................................................................... .. code-block:: none pgr_binaryBreadthFirstSearch(Edges SQL, start_vid, end_vid [, directed]); RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` on an **undirected** binary graph .. literalinclude:: doc-pgr_binaryBreadthFirstSearch.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: binaryBreadthFirstSearch(One to Many) - Experimental on v3.0 One to many ............................................................................... .. code-block:: none pgr_binaryBreadthFirstSearch(Edges SQL, start_vid, end_vids [, directed]); RETURNS SET OF (seq, path_seq, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertices :math:`\{3, 5\}` on an **undirected** binary graph .. literalinclude:: doc-pgr_binaryBreadthFirstSearch.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: binaryBreadthFirstSearch(Many to One) - Experimental on v3.0 Many to One ............................................................................... .. code-block:: none pgr_binaryBreadthFirstSearch(Edges SQL, start_vids, end_vid [, directed]); RETURNS SET OF (seq, path_seq, start_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{2, 11\}` to vertex :math:`5` on a **directed** binary graph .. literalinclude:: doc-pgr_binaryBreadthFirstSearch.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: binaryBreadthFirstSearch(Many to Many) - Experimental on v3.0 Many to Many ............................................................................... .. code-block:: none pgr_binaryBreadthFirstSearch(Edges SQL, start_vids, end_vids [, directed]); RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{2, 11\}` to vertices :math:`\{3, 5\}` on an **undirected** binary graph .. literalinclude:: doc-pgr_binaryBreadthFirstSearch.queries :start-after: -- q5 :end-before: -- q6 .. index:: single: binaryBreadthFirstSearch(Combinations) - Experimental on v3.2 Combinations ............................................................................... .. code-block:: none pgr_binaryBreadthFirstSearch(Edges SQL, Combinations SQL [, directed]); RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: Using a combinations table on an **undirected** binary graph. .. literalinclude:: doc-pgr_binaryBreadthFirstSearch.queries :start-after: -- q6 :end-before: -- q7 Parameters ------------------------------------------------------------------------------- .. pgr_binaryBreadthFirstSearch_parameters_start ===================== ================== ======== ================================================= Parameter Type Default Description ===================== ================== ======== ================================================= **Edges SQL** ``TEXT`` Edges query as described below. **Combinations SQL** ``TEXT`` Combinations query as described below. **start_vid** ``BIGINT`` Identifier of the starting vertex of the path. **start_vids** ``ARRAY[BIGINT]`` Array of identifiers of starting vertices. **end_vid** ``BIGINT`` Identifier of the ending vertex of the path. **end_vids** ``ARRAY[BIGINT]`` Array of identifiers of ending vertices. **directed** ``BOOLEAN`` ``true`` - When ``true`` Graph is considered `Directed` - When ``false`` the graph is considered as `Undirected`. ===================== ================== ======== ================================================= .. pgr_binaryBreadthFirstSearch_parameters_end Inner queries ------------------------------------------------------------------------------- Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end Return Columns ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_path_start :end-before: return_path_end Example Data ------------------------------------------------------------------------------- This type of data is used on the examples of this page. Edwards-Moore Algorithm is best applied when trying to answer queries such as the following: **“Find the path with the minimum number from Source to Destinationâ€** Here: * *Source* = Source Vertex, *Destination* = Any arbitrary destination vertex * *X* is an event/property * Each edge in the graph is either “*X*†or “*Not X*†. Example: “Find the path with the minimum number of road works from Source to Destination†Here, a road under work(aka **road works**) means that part of the road is occupied for construction work/maintenance. Here: * Edge ( *u* , *v* ) has weight = 0 if no road work is ongoing on the road from *u* to *v*. * Edge ( *u*, *v*) has weight = 1 if road work is ongoing on the road from *u* to *v*. Then, upon running the algorithm, we obtain the path with the minimum number of road works from the given source and destination. Thus, the queries used in the previous section can be interpreted in this manner. Table Data ............................................................................... The queries in the previous sections use the table 'roadworks'. The data of the table: .. literalinclude:: doc-pgr_binaryBreadthFirstSearch.queries :start-after: --data-start :end-before: --data-end See Also ------------------------------------------------------------------------------- * https://cp-algorithms.com/graph/01_bfs.html * https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm#Specialized_variants .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/breadthFirstSearch/pgr_breadthFirstSearch.rst000066400000000000000000000166701414350551100252310ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: http://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_breadthFirstSearch - Experimental =============================================================================== ``pgr_breadthFirstSearch`` — Returns the traversal order(s) using Breadth First Search algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/breadth_first_search.html Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.0.0 * New **experimental** function: Description ------------------------------------------------------------------------------- Provides the Breadth First Search traversal order from a root vertex to a particular depth. **The main Characteristics are:** - The implementation will work on any type of graph. - Provides the Breadth First Search traversal order from a source node to a target depth level - Breath First Search Running time: :math:`O(E + V)` Signatures ------------------------------------------------------------------------------- .. code-block:: none pgr_breadthFirstSearch(Edges SQL, Root vid [, max_depth] [, directed]) pgr_breadthFirstSearch(Edges SQL, Root vids [, max_depth] [, directed]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) .. index:: single: breadthFirstSearch(Single vertex) - Experimental on v3.0 Single Vertex ............................................................................... .. code-block:: none pgr_breadthFirstSearch(Edges SQL, Root vid [, max_depth] [, directed]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) :Example: The Breadth First Search traversal with root vertex :math:`2` .. literalinclude:: doc-pgr_breadthFirstSearch.queries :start-after: --q1 :end-before: --q2 .. index:: single: breadthFirstSearch(Multiple vertices) - Experimental on v3.0 Multiple Vertices ............................................................................... .. code-block:: none pgr_breadthFirstSearch(Edges SQL, Root vids [, max_depth] [, directed]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) :Example: The Breadth First Search traverls starting on vertices :math:`\{11, 12\}` with :math:`depth <= 2` .. literalinclude:: doc-pgr_breadthFirstSearch.queries :start-after: --q2 :end-before: --q3 .. Parameters, Inner query & result columns .. breadthFirstSearch-information-start Parameters ------------------------------------------------------------------------------- =================== ====================== ================================================= Parameter Type Description =================== ====================== ================================================= **Edges SQL** ``TEXT`` SQL query described in `Inner query`_. **Root vid** ``BIGINT`` Identifier of the root vertex of the tree. - Used on `Single Vertex`_. **Root vids** ``ARRAY[ANY-INTEGER]`` Array of identifiers of the root vertices. - Used on `Multiple Vertices`_. - For optimization purposes, any duplicated value is ignored. =================== ====================== ================================================= Optional Parameters ............................................................................... =================== =========== =========================== ================================================= Parameter Type Default Description =================== =========== =========================== ================================================= **max_depth** ``BIGINT`` :math:`9223372036854775807` Upper limit for depth of node in the tree - When value is ``Negative`` then **throws error** **directed** ``BOOLEAN`` ``true`` - When ``true`` Graph is considered `Directed` - When ``false`` the graph is considered as `Undirected`. =================== =========== =========================== ================================================= Inner query ------------------------------------------------------------------------------- .. rubric::Edges SQL .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- .. result columns start Returns SET OF ``(seq, depth, start_vid, node, edge, cost, agg_cost)`` =============== =========== ==================================================== Column Type Description =============== =========== ==================================================== **seq** ``BIGINT`` Sequential value starting from :math:`1`. **depth** ``BIGINT`` Depth of the ``node``. - :math:`0` when ``node`` = ``start_vid``. **start_vid** ``BIGINT`` Identifier of the root vertex. - In *Multiple Vertices* results are in ascending order. **node** ``BIGINT`` Identifier of ``node`` reached using ``edge``. **edge** ``BIGINT`` Identifier of the ``edge`` used to arrive to ``node``. - :math:`-1` when ``node`` = ``start_vid``. **cost** ``FLOAT`` Cost to traverse ``edge``. **agg_cost** ``FLOAT`` Aggregate cost from ``start_vid`` to ``node``. =============== =========== ==================================================== .. result columns end Additional Examples ............................................................................... **Undirected Graph** :Example: The Breadth First Search traverls starting on vertices :math:`\{11, 12\}` with :math:`depth <= 2` as well as considering the graph to be undirected. .. literalinclude:: doc-pgr_breadthFirstSearch.queries :start-after: --q3 :end-before: --q4 **Vertex Out Of Graph** :Example: The output of the function when a vertex not present in the graph is passed as a parameter. .. literalinclude:: doc-pgr_breadthFirstSearch.queries :start-after: --q4 :end-before: --q5 See Also ------------------------------------------------------------------------------- * The queries use the :doc:`sampledata` network. * `Boost: Breadth First Search algorithm documentation `__ * `Wikipedia: Breadth First Search algorithm `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/chinese/000077500000000000000000000000001414350551100157155ustar00rootroot00000000000000pgrouting-3.3.0/doc/chinese/CMakeLists.txt000066400000000000000000000005641414350551100204620ustar00rootroot00000000000000 SET(LOCAL_FILES chinesePostmanProblem-family.rst pgr_chinesePostmanCost.rst pgr_chinesePostman.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/chinese/chinesePostmanProblem-family.rst000066400000000000000000000047771414350551100242460ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ Chinese Postman Problem - Family of functions (Experimental) ============================================================= .. index from here * :doc:`pgr_chinesePostman` * :doc:`pgr_chinesePostmanCost` .. index to here .. toctree:: :hidden: pgr_chinesePostman pgr_chinesePostmanCost .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr Description ------------------------------------------------------------------------------- .. charactersistics-start The main characteristics are: - Process is done only on edges with **positive** costs. - Running time: :math:`O(E * (E + V * logV))` - Graph must be connected. .. charactersistics-end Parameters ------------------------------------------------------------------------------- .. parameters-start ============== ================== ======== ================================================= Column Type Default Description ============== ================== ======== ================================================= **edges_sql** ``TEXT`` The edges SQL query as described in `Inner query`_. ============== ================== ======== ================================================= .. parameters-end Inner query ------------------------------------------------------------------------------- .. inner_query-start An Edges SQL that represents a **directed** graph with the following columns .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end .. inner_query-end See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/chinese/pgr_chinesePostman.rst000066400000000000000000000064231414350551100223040ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_chinesePostman - Experimental ============================================ ``pgr_chinesePostman`` — Calculates the shortest circuit path which contains every edge in a directed graph and starts and ends on the same vertex. .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.0.0 * New **experimental** function Description ------------------------------------------------------------------------------- .. include:: chinesePostmanProblem-family.rst :start-after: charactersistics-start :end-before: charactersistics-end - Returns ``EMPTY SET`` on a disconnected graph Signatures ------------------------------------------------------------------------------- .. index:: single: chinesePostman - Experimental on v3.0 .. code-block:: none pgr_chinesePostman(edges_sql) RETURNS SET OF (seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: .. literalinclude:: doc-pgr_chinesePostman.queries :start-after: -- q1 :end-before: -- q2 Parameters ------------------------------------------------------------------------------- .. include:: chinesePostmanProblem-family.rst :start-after: parameters-start :end-before: parameters-end Inner query ------------------------------------------------------------------------------- .. include:: chinesePostmanProblem-family.rst :start-after: inner_query-start :end-before: inner_query-end Result Columns ------------------------------------------------------------------------------- Returns set of ``(seq, node, edge, cost, agg_cost)`` ============== ========== ================================================= Column Type Description ============== ========== ================================================= **seq** ``INT`` Sequential value starting from **1**. **node** ``BIGINT`` Identifier of the node in the path from ``start_vid`` to ``end_vid``. **edge** ``BIGINT`` Identifier of the edge used to go from ``node`` to the next node in the path sequence. ``-1`` for the last node of the path. **cost** ``FLOAT`` Cost to traverse from ``node`` using ``edge`` to the next node in the path sequence. **agg_cost** ``FLOAT`` Aggregate cost from ``start_v`` to ``node``. ============== ========== ================================================= See Also ------------------------------------------------------------------------------- * :doc:`chinesePostmanProblem-family` .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/chinese/pgr_chinesePostmanCost.rst000066400000000000000000000054361414350551100231400ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_chinesePostmanCost - Experimental ============================================ ``pgr_chinesePostmanCost`` — Calculates the minimum costs of a circuit path which contains every edge in a directed graph and starts and ends on the same vertex. .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.0.0 * New **experimental** function Description ------------------------------------------------------------------------------- .. include:: chinesePostmanProblem-family.rst :start-after: charactersistics-start :end-before: charactersistics-end - [TBD] Return value when the graph if disconnected Signatures ------------------------------------------------------------------------------- .. index:: single: chinesePostmanCost - Experimental on v3.0 .. code-block:: none pgr_chinesePostmanCost(edges_sql) RETURNS FLOAT :Example: .. literalinclude:: doc-pgr_chinesePostmanCost.queries :start-after: -- q1 :end-before: -- q2 Parameters ------------------------------------------------------------------------------- .. include:: chinesePostmanProblem-family.rst :start-after: parameters-start :end-before: parameters-end Inner query ------------------------------------------------------------------------------- .. include:: chinesePostmanProblem-family.rst :start-after: inner_query-start :end-before: inner_query-end Result Columns ------------------------------------------------------------------------------- ====================== ================================================= Type Description ====================== ================================================= ``FLOAT`` Minimum costs of a circuit path. ====================== ================================================= See Also ------------------------------------------------------------------------------- * :doc:`chinesePostmanProblem-family` .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/coloring/000077500000000000000000000000001414350551100161135ustar00rootroot00000000000000pgrouting-3.3.0/doc/coloring/CMakeLists.txt000066400000000000000000000007251414350551100206570ustar00rootroot00000000000000 SET(LOCAL_FILES coloring-family.rst pgr_sequentialVertexColoring.rst pgr_bipartite.rst pgr_edgeColoring.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() add_subdirectory("images") set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) set(PROJECT_IMG_FILES ${PROJECT_IMG_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/coloring/coloring-family.rst000066400000000000000000000076331414350551100217510ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ Coloring - Family of functions =============================================================================== .. rubric:: Proposed .. include:: proposed.rst :start-after: stable-begin-warning :end-before: stable-end-warning .. index proposed from here * :doc:`pgr_sequentialVertexColoring` - Vertex coloring algorithm using greedy approach. .. index proposed to here .. rubric:: Experimental .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. index from here * :doc:`pgr_bipartite` - Bipartite graph algorithm using a DFS-based coloring approach. * :doc:`pgr_edgeColoring` - Edge Coloring algorithm using Vizing's theorem. .. index to here .. toctree:: :hidden: pgr_sequentialVertexColoring pgr_bipartite pgr_edgeColoring Parameters ------------------------------------------------------------------------------- .. parameters start =================== ====================== ================================================= Parameter Type Description =================== ====================== ================================================= **Edges SQL** ``TEXT`` Inner query as described below. =================== ====================== ================================================= .. parameters end Inner query ------------------------------------------------------------------------------- :Edges SQL: an SQL query of an **undirected** graph, which should return a set of rows with the following columns: .. include:: traversal-family.rst :start-after: edges_sql_start :end-before: edges_sql_end Result Columns ------------------------------------------------------------------------------- .. result columns start Returns SET OF ``(vertex_id, color_id)`` =============== =========== ==================================================== Column Type Description =============== =========== ==================================================== **vertex_id** ``BIGINT`` Identifier of the vertex. **color_id** ``BIGINT`` Identifier of the color of the vertex. - The minimum value of color is 1. =============== =========== ==================================================== .. result columns end .. result columns start edgeColoring Returns SET OF ``(edge_id, color_id)`` =============== =========== ==================================================== Column Type Description =============== =========== ==================================================== **edge_id** ``BIGINT`` Identifier of the edge. **color_id** ``BIGINT`` Identifier of the color of the edge. - The minimum value of color is 1. =============== =========== ==================================================== .. result columns end edgeColoring See Also ------------------------------------------------------------------------------- .. include:: pgr_sequentialVertexColoring.rst :start-after: see also start :end-before: see also end .. include:: pgr_bipartite.rst :start-after: see also start :end-before: see also end .. include:: pgr_edgeColoring.rst :start-after: see also start :end-before: see also end .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/coloring/images/000077500000000000000000000000001414350551100173605ustar00rootroot00000000000000pgrouting-3.3.0/doc/coloring/images/CMakeLists.txt000066400000000000000000000004761414350551100221270ustar00rootroot00000000000000SET(LOCAL_FILES bipartite.png ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/images/${f}" COPYONLY) list(APPEND LOCAL_IMG_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/images/${f}") endforeach() set(PROJECT_IMG_FILES ${PROJECT_IMG_FILES} ${LOCAL_IMG_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/coloring/images/bipartite.png000066400000000000000000000252751414350551100220640ustar00rootroot00000000000000‰PNG  IHDR ‚¦RdˆzTXtRaw profile type exifxÚUŽÙ €@Dÿ©Â¸–£c4±Ë—u=âû€B&ë±o0u´yXša¡©És‰À #õ]spo¡R\öö <„e8ê÷¨Š?šXØæênÍ[¸Òy¹& ÂõÕÃz•ü‚æGÉÿüvMNü-iÖže iTXtXML:com.adobe.xmp ¦l¿sBIT|dˆÎIDATxÚíÝ{TÔâ÷ñÏ ¨ ^ã&73AC‘̲Õ4×òR®×´v51¯YÇËænÞ3I•µË®[YOÏfZ™Úšš¥‰•O%*bX£H*:Π€(Êe¾¿?L~¶0ï×9ž“3tŽóá˼çò5†a€ÌÌ @ €@€ @¸R~~¾†ª>ø ì²‚‚9R~~~òõõÕàÁƒuòäIÆr†ahÑ¢Eš1cF¹Ë;wî\á×_ÿúW#@@åîh>þøcuíÚUï¾û®l6[Ùu>>>êر£>ýôSíÙ³GgÏžÕßþö7F«å,‹† ¦ØØX}÷Ýwå®{æ™gÊ~Í›7OÇWÆ •{æóÔSOéïÿ»n»í¶r×™L&=ùä“ŠŽŽVDD„yä=z”Ñj¹Y³f),,ìšÏlúôéSöëÈ‘#jܸ±æÏŸÏhNâÉp'7ÖÁƒ%I/½ôÒ5¿æüùó:zô¨^}õU3†Ñj¹uëÖI’bccñk.\¸ ¸¸8½òÊ+ªW¯£ñ ¨C‡U‡”ŸŸ¯?ýéO 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Bˆ!Dˆ"€D @@mPFF†ÂÃõjÕ*FPõr8Š´páBuíÚU§N’a  àDÈdÒ‘#G”œœ¬Ö­[3$@€€!³©ŽÞxã uèиà™!€Dœ!Ã#KÅ¥Ù TžL€Ú!)¦ÿ~Y³šiËÛ·*7w©¾;¼Q ü/èR©¡‡ú¯×‚ÅË p1“Á!P ?qR1ý÷ëÌÉ|ù6[ª‡[ËÃd’$9 )Éî­gŸ_¡ÛÚ·—§'Ã89Bƒª˜[óÊâsU‰ÃPJQ°ÖoÞÆP€‹ðj­ çåå}¡B|$ÉÓl’Õj•Åba(€Up€›MŒ àÆŠŒŒ”_@€×x‘¹Ô‚‚‚ÁPœoÁsKõ±ÝK%?©P©!%Ù¼ŸÀ@€ qj½ƒiizzÖ4Y­VIWžùÄÅ'¨mTã¨zWO8àe7€Üï€@€µÏÿÅg2l¾aÌIEND®B`‚pgrouting-3.3.0/doc/coloring/pgr_bipartite.rst000066400000000000000000000101571414350551100215040ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: http://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ pgr_bipartite -Experimental =============================================================================== ``pgr_bipartite`` — If graph is bipartite then function returns the vertex id along with color (0 and 1) else it will return an empty set. In particular, the is_bipartite() algorithm implemented by Boost.Graph. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/is_bipartite.html Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.2.0 * New **experimental** function Description ------------------------------------------------------------------------------- A bipartite graph is a graph with two sets of vertices which are connected to each other, but not within themselves. A bipartite graph is possible if the graph coloring is possible using two colors such that vertices in a set are colored with the same color. **The main Characteristics are:** - The algorithm works in undirected graph only. - The returned values are not ordered. - The algorithm checks graph is bipartite or not. If it is bipartite then it returns the node along with two colors `0` and `1` which represents two different sets. - If graph is not bipartite then algorithm returns empty set. - Running time: :math:`O(V + E)` Signatures ------------------------------------------------------------------------------- .. index:: single: bipartite - Experimental on v3.2 .. code-block:: sql pgr_bipartite(Edges SQL) RETURNS SET OF (vertex_id, color_id) OR EMPTY SET :Example: The pgr_bipartite algorithm with and edge_sql as a parameter when graph is bipartite: .. literalinclude:: doc-bipartite.queries :start-after: --q1 :end-before: --q2 .. Parameters, Inner query & result columns Parameters ------------------------------------------------------------------------------- .. include:: coloring-family.rst :start-after: parameters start :end-before: parameters end Inner query ------------------------------------------------------------------------------- :Edges SQL: an SQL query of an **undirected** graph, which should return a set of rows with the following columns: .. include:: traversal-family.rst :start-after: edges_sql_start :end-before: edges_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: coloring-family.rst :start-after: result columns start :end-before: result columns end Additional Example ------------------------------------------------------------------------------------------ :Example: The odd length cyclic graph can not be bipartite. The following edge will make subgraph with vertices {1, 2, 5, 7, 8} an odd length cyclic graph. .. literalinclude:: doc-bipartite.queries :start-after: --q2 :end-before: --q3 The new graph is not bipartite because it has a odd length cycle of 5 vertices. Edges in blue represent odd length cycle. .. image:: images/bipartite.png :scale: 60% .. literalinclude:: doc-bipartite.queries :start-after: --q3 :end-before: --q4 See Also ------------------------------------------------------------------------------- .. see also start * `Boost: is_bipartite algorithm documentation `__ * `Wikipedia: bipartite graph `__ .. see also end * :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/coloring/pgr_edgeColoring.rst000066400000000000000000000102731414350551100221210ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: http://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) pgr_edgeColoring - Experimental =============================================================================== ``pgr_edgeColoring`` — Returns the edge coloring of an undirected and loop-free (i.e *no self-loops and no parallel edges*) graph. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/edge_coloring.html Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-exp .. rubric:: Availability * Version 3.3.0 * New **experimental** function Description ------------------------------------------------------------------------------- Edge Coloring is an algorithm used for coloring of the edges for the vertices in the graph. It is an assignment of colors to the edges of the graph so that no two adjacent edges have the same color. **The main Characteristics are:** - The implementation is applicable only for **undirected** and **loop-free** (i.e *no self-loops and no parallel edges*) graphs. - Provides the color to be assigned to all the edges present in the graph. - At most **Δ + 1** colors are used, where **Δ** is the degree of the graph. This is optimal for some graphs, and by Vizing's theorem it uses at most one color more than the optimal for all others. - It can tell us whether a graph is **Bipartite**. If in a graph, the chromatic number **χ′(G)** i.e. minimum number of colors needed for proper edge coloring of graph is equal to degree **Δ** of the graph, (i.e. **χ′(G) = Δ**) then graph is said to be Bipartite. But, the vice-versa is not always true. - The algorithm tries to assign the least possible color to every edge. - Efficient graph coloring is an NP-Hard problem, and therefore, this algorithm does not always produce optimal coloring. - The returned rows are ordered in ascending order of the edge value. - This algorithm is the fastest known almost-optimal algorithm for edge coloring. - Edge Coloring Running Time: :math:`O(|E||V|)` - where :math:`|E|` is the number of edges in the graph, - :math:`|V|` is the number of vertices in the graph. Signatures ------------------------------------------------------------------------------ .. index:: single: edgeColoring - Experimental on v3.3 .. code-block:: sql pgr_edgeColoring(Edges SQL) RETURNS SET OF (edge_id, color_id) OR EMPTY SET :Example: Graph coloring of pgRouting :doc:`sampledata` .. literalinclude:: doc-edgeColoring.queries :start-after: -- q1 :end-before: -- q2 .. Parameters, Inner query & result columns Parameters ------------------------------------------------------------------------------- .. include:: coloring-family.rst :start-after: parameters start :end-before: parameters end Inner query ------------------------------------------------------------------------------- :Edges SQL: an SQL query of an **undirected** graph, which should return a set of rows with the following columns: .. include:: traversal-family.rst :start-after: edges_sql_start :end-before: edges_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: coloring-family.rst :start-after: result columns start edgeColoring :end-before: result columns end edgeColoring See Also ------------------------------------------------------------------------------- * The queries use the :doc:`sampledata` network. .. see also start * `Boost: Edge Coloring Algorithm documentation `__ * `Wikipedia: Graph Coloring `__ .. see also end .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/coloring/pgr_sequentialVertexColoring.rst000066400000000000000000000101021414350551100245540ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: http://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ pgr_sequentialVertexColoring - Proposed =============================================================================== ``pgr_sequentialVertexColoring`` — Returns the vertex coloring of an undirected graph, using greedy approach. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/sequential_vertex_coloring.html Boost Graph Inside .. include:: proposed.rst :start-after: stable-begin-warning :end-before: stable-end-warning .. rubric:: Availability * Version 3.3.0 * Promoted to **proposed** function * Version 3.2.0 * New **experimental** function Description ------------------------------------------------------------------------------- Sequential Vertex Coloring algorithm is a graph coloring algorithm in which color identifiers are assigned to the vertices of a graph in a sequential manner, such that no edge connects two identically colored vertices. **The main Characteristics are:** - The implementation is applicable only for **undirected** graphs. - Provides the color to be assigned to all the vertices present in the graph. - Color identifiers values are in the Range :math:`[1, |V|]` - The algorithm tries to assign the least possible color to every vertex. - Efficient graph coloring is an NP-Hard problem, and therefore, this algorithm does not always produce optimal coloring. It follows a greedy strategy by iterating through all the vertices sequentially, and assigning the smallest possible color that is not used by its neighbors, to each vertex. - The returned rows are ordered in ascending order of the vertex value. - Sequential Vertex Coloring Running Time: :math:`O(|V|*(d + k))` - where :math:`|V|` is the number of vertices, - :math:`d` is the maximum degree of the vertices in the graph, - :math:`k` is the number of colors used. Signatures ------------------------------------------------------------------------------ .. index:: single: sequentialVertexColoring - Proposed on v3.3 .. code-block:: none pgr_sequentialVertexColoring(Edges SQL) RETURNS SET OF (vertex_id, color_id) OR EMPTY SET :Example: Graph coloring of pgRouting :doc:`sampledata` .. literalinclude:: doc-pgr_sequentialVertexColoring.queries :start-after: -- q1 :end-before: -- q2 .. Parameters, Inner query & result columns Parameters ------------------------------------------------------------------------------- .. include:: coloring-family.rst :start-after: parameters start :end-before: parameters end Inner query ------------------------------------------------------------------------------- :Edges SQL: an SQL query of an **undirected** graph, which should return a set of rows with the following columns: .. include:: traversal-family.rst :start-after: edges_sql_start :end-before: edges_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: coloring-family.rst :start-after: result columns start :end-before: result columns end See Also ------------------------------------------------------------------------------- * The queries use the :doc:`sampledata` network. .. see also start * `Boost: Sequential Vertex Coloring algorithm documentation `__ * `Wikipedia: Graph coloring `__ .. see also end .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/components/000077500000000000000000000000001414350551100164645ustar00rootroot00000000000000pgrouting-3.3.0/doc/components/CMakeLists.txt000066400000000000000000000010351414350551100212230ustar00rootroot00000000000000 SET(LOCAL_FILES components-family.rst pgr_connectedComponents.rst pgr_strongComponents.rst pgr_biconnectedComponents.rst pgr_articulationPoints.rst pgr_bridges.rst pgr_makeConnected.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() add_subdirectory("images") set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) set(PROJECT_IMG_FILES ${PROJECT_IMG_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/components/components-family.rst000066400000000000000000000101271414350551100226630ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ Components - Family of functions =============================================================================== .. index from here * :doc:`pgr_connectedComponents` - Connected components of an undirected graph. * :doc:`pgr_strongComponents` - Strongly connected components of a directed graph. * :doc:`pgr_biconnectedComponents` - Biconnected components of an undirected graph. * :doc:`pgr_articulationPoints` - Articulation points of an undirected graph. * :doc:`pgr_bridges` - Bridges of an undirected graph. .. index to here .. rubric:: Experimental .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. index experimental from here * :doc:`pgr_makeConnected` - Details of edges to make graph connected. .. index experimental to here .. toctree:: :hidden: pgr_connectedComponents pgr_strongComponents pgr_biconnectedComponents pgr_articulationPoints pgr_bridges pgr_makeConnected Parameters ------------------------------------------------------------------------------- .. components_parameters_start =================== ====================== ========= ========================================= Parameter Type Default Description =================== ====================== ========= ========================================= **Edges SQL** ``TEXT`` Inner query as described below. =================== ====================== ========= ========================================= .. components_parameters_end Inner query ------------------------------------------------------------------------------- :Edges SQL: an SQL query which should return a set of rows with the following columns: .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- pgr_connectedComponents & pgr_strongComponents ............................................................................... .. include:: pgr_connectedComponents.rst :start-after: return_componentsV_start :end-before: return_componentsV_end pgr_biconnectedComponents ............................................................................... .. include:: pgr_biconnectedComponents.rst :start-after: return_componentsE_start :end-before: return_componentsE_end pgr_articulationPoints ............................................................................... .. include:: pgr_articulationPoints.rst :start-after: return_articulation_start :end-before: return_articulation_end pgr_bridges ............................................................................... .. include:: pgr_bridges.rst :start-after: return_bridges_start :end-before: return_bridges_end pgr_makeConnected - Experimental ............................................................................... .. include:: pgr_makeConnected.rst :start-after: return_makeConnected_start :end-before: return_makeConnected_end See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/components/images/000077500000000000000000000000001414350551100177315ustar00rootroot00000000000000pgrouting-3.3.0/doc/components/images/CMakeLists.txt000066400000000000000000000006421414350551100224730ustar00rootroot00000000000000 SET(LOCAL_FILES cc_sampledata.png scc_sampledata.png bcc_sampledata.png ap_sampledata.png bridge_sampledata.png ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/images/${f}" COPYONLY) list(APPEND LOCAL_IMG_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/images/${f}") endforeach() set(PROJECT_IMG_FILES ${PROJECT_IMG_FILES} ${LOCAL_IMG_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/components/images/ap_sampledata.png000066400000000000000000001603411414350551100232370ustar00rootroot00000000000000‰PNG  IHDRaÕïyk< IDATxì½ ”dWyçùâm±/¹ïkemY%¥ÒZZÀB,McÀÓm° mÚ î3öt»Çn·ñô9ž±Íc˜ã6Í0`­H¨¤R•jͬÊÊ}ÏŒ}yë|/"3+—X^dÆò"⪣Šxï.ßýÝQ÷ÿ¾{¿kÓuÁ @@@@@@ M€-ÐH[(ð@@@@@h$ ¸Mé6 ¼h$Œ¸Mé6 ¼h$Œ¸Mé6 ¼h$Œ¸M€¿ýï@@Àòtz1Œ–þËx—~Ùl k³±6ÆFïð(ž@ú‹Å茮ѺÆÐ[ãE_)›þze>¤/â  Pÿ ‘ê¿ÑB¨i!D8U×MW5]Võ”¢ÉŠq…î’4âY›È³vž¥7\úË2PL5Ýï0¾2ºˆD}±UY%gƒ‰¹P*–R’Š¦jŒƒg×æ{Žž&§[8–¾a´ÅÐN°U€€@µØ2?‘Õªõ‚€@.›8FÓ˜¸¤†’J0®„J,¥ÒŸ¤¬‘d"DS6³9ÖãàÜv.àâ›\‚×ΑjJ{–à\Ê×”Àæ¿û¤´`Rúé͵ 3ÑKôÊ'{l6½'`;Þå¼80Üæ!±D!ˆ ÄRƒ#4ê4R½÷0Ú5K€n“Z‰Êôg)"Í¥Ù`j9"ESäLJ¯Ú¶ÖŽ&käDò»¸n¿½»ÉÑéÚ½¶ò=µ¸æJÞΦ¿ïnÇ;Nôœ_®’ãE U!Tì¨@`šÂQ­HR_Š_˜‰]_L,G%IÙ¿:Ú^zF) 4;Nö¸F»Ý=»ËNJö}{]x–"yô@aë.L/þÍOÖãR÷æ=4Â~è>—è"PJ–0@` ‘ö Y@JI€¦qä,¢G×âç&#ãË ^G’©´/ž³uùÅÝî;{=C­Ã4®´„Qš З‹6 =ueæ¼-áúº\-=ÜÁüÖ£ƒ—#y!rqÂu TA Ž Ð ÚjŒË—fc/ÜÝZIÆe ÙP–S¬âf0ÚåºwÈw´ÓM‹î¨ø“ÊÂ…Z€ $Zb÷òÄò§Ÿ^-ÏW*K#µÙþ—Çœ‚g(e¡ƒK µC Œn÷ÚKAªH@%Õ±ÅÄ ã!úL*—@¢ª:C .ÎÆ^žˆL¯% d:„xªA ¬¦Ö¢ŸýÉrŵåƲþw/Ì*ª\Öv¡p(7h¤rFù ùÐi°žáÕÉÈäZR"SæÉ¢pB¹¾y"<"AVæúP<TÀz<öçߟ’ÔJÿCÿü¸ü䳨¿zMGÍ  pP•þé<¨½È PGR²6½žº8¥P q©Ô;r€R4f-&_ž‘0[ÉUE!“O^LXÁ˜P‚ûþ¥e¸’¬Ð°@ XÐHÅCzƒ QD'ÆN­&I¢¤ª&‘ŒVÄRŸ]—èÍA[…ü ` ÏχÕw"e`üèZBR$k€  Ph¤"`!)€@IÐÒ›¥ˆD¡·)–]µœH[ ¡psÁ$ߺ‚7 PÓ^¸¶Žýá{iÎBöX‡ ,°8«ûØèÇ)Gø¯?7óÂÎœ›·v^Ýþ)¸ü_]žÜ~eÏ{:²ùÌ@;ÃØèµç&.€€€E @#Y´c`Ô+òQŒ„å¨I©jA7’ÍÆŠâÉ^ç‘ï‘f{«C“.¬ìÔHûp›ó¾>×@—»[ÜÀ¦kZ¨…ït±ŽÙø•P>g\K®$ A¡#<h¤zwÒ®‹³+šn^Šø~÷#½gr³¡ØÌà惇ÜÉòß¹º@Q$ežÝüræO»  ` ÐHÖèX C€tÜJN$š7åÓ. #ˆ\s“k¨ÕuÏ€Àé|@d,çö<‹vˆ½î;Zùõ•èëiÿËÚg{À}¦Ñcõ‰”Ì—lˆ&òk…“ªÇŸÄܤp§\˜]eSRàÌ¡Ož. &ÏÝø๬Í?𾑟ÐÎÂT~'e¦sl—‰î4RV’¸ `Q˜X´c`Ô+ ³MÈu£¨ù%’Íé´ôyïmbYj<Ë„lYT5“n,$Æ&£ãi1Äòlwoóƒƒî¿½' i!/Í„¬Qx½H’¶$˜2æ-7A ú(\$Ã8 Úq[ Ñb¹WíŸ|ÔW0ËŽÃí†@bRß:gj¯ÑäZ¼;àßQ>€€€µ @#Y»`ÔM#¿IÒB»üm³q6›Ý¦Å‚±W瓬Çï³gýÅŠ'ÇnI󬉫±L™6[”O ¶ŠƒÖnçhÂHk²©« RŠN ÿªrLS~¸ ÅX™ÊÑÓD67 ÷šÊ³-ÑÙá´¦ †_Zßv5÷[ Ð’þ š_˜»,ÜŠÈ:ã¨Hͨ@ ! 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Articulation points are vertices whose removal would increase the number of connected components in the graph. This implementation can only be used with an undirected graph. **The main characteristics are:** - The signature is for an **undirected** graph. - The returned values are ordered: - `node` ascending - Running time: :math:`O(V + E)` Signatures ------------------------------------------------------------------------------- .. index:: single: articulationPoints .. code-block:: none pgr_articulationPoints(Edges SQL) RETURNS SET OF (node) OR EMPTY SET :Example: The articulation points of the graph .. literalinclude:: doc-pgr_articulationPoints.queries :start-after: -- q1 :end-before: -- q2 Parameters ------------------------------------------------------------------------------- .. include:: components-family.rst :start-after: components_parameters_start :end-before: components_parameters_end Inner query ------------------------------------------------------------------------------- :edges SQL: an SQL query of an **undirected** graph, which should return a set of rows with the following columns: .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- .. return_articulation_start Returns set of ``(node)`` ============== ========== ================================================= Column Type Description ============== ========== ================================================= **node** ``BIGINT`` Identifier of the vertex. ============== ========== ================================================= .. return_articulation_end See Also ------------------------------------------------------------------------------- * :doc:`components-family` * The queries use the :doc:`sampledata` network. * Boost: `Biconnected components & articulation points `__ * wikipedia: `Biconnected component `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/components/pgr_biconnectedComponents.rst000066400000000000000000000104621414350551100244140ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ pgr_biconnectedComponents =============================================================================== ``pgr_biconnectedComponents`` — Return the biconnected components of an undirected graph. In particular, the algorithm implemented by Boost.Graph. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/biconnected_components.html Boost Graph Inside .. rubric:: Availability * Version 3.0.0 * Return columns change: * ``n_seq`` is removed * ``seq`` changed type to ``BIGINT`` * **Official** function * Version 2.5.0 * New **experimental** function Description ------------------------------------------------------------------------------- The biconnected components of an undirected graph are the maximal subsets of vertices such that the removal of a vertex from particular component will not disconnect the component. Unlike connected components, vertices may belong to multiple biconnected components. Vertices can be present in multiple biconnected components, but each edge can only be contained in a single biconnected component. **The main characteristics are:** - The signature is for an **undirected** graph. - Components are described by edges. - The returned values are ordered: - `component` ascending. - `edge` ascending. - Running time: :math:`O(V + E)` Signatures ------------------------------------------------------------------------------- .. index:: single: biconnectedComponents .. code-block:: none pgr_biconnectedComponents(Edges SQL) RETURNS SET OF (seq, component, edge) OR EMPTY SET :Example: The biconnected components of the graph .. literalinclude:: doc-pgr_biconnectedComponents.queries :start-after: -- q1 :end-before: -- q2 Parameters ------------------------------------------------------------------------------- .. include:: components-family.rst :start-after: components_parameters_start :end-before: components_parameters_end Inner query ------------------------------------------------------------------------------- :edges SQL: an SQL query of an **undirected** graph, which should return a set of rows with the following columns: .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- .. return_componentsE_start Returns set of ``(seq, component, edge)`` ============== ========== ================================================= Column Type Description ============== ========== ================================================= **seq** ``BIGINT`` Sequential value starting from **1**. **component** ``BIGINT`` Component identifier. It is equal to the minimum edge identifier in the component. **edge** ``BIGINT`` Identifier of the edge. ============== ========== ================================================= .. return_componentsE_end See Also ------------------------------------------------------------------------------- * :doc:`components-family` * The queries use the :doc:`sampledata` network. * Boost: `Biconnected components `__ * wikipedia: `Biconnected component `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/components/pgr_bridges.rst000066400000000000000000000065551414350551100215200ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ pgr_bridges =============================================================================== ``pgr_bridges`` - Return the bridges of an undirected graph. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/connected_components.html Boost Graph Inside .. rubric:: Availability * Version 3.0.0 * Return columns change: ``seq`` is removed * **Official** function * Version 2.5.0 * New **experimental** function Description ------------------------------------------------------------------------------- A bridge is an edge of an undirected graph whose deletion increases its number of connected components. This implementation can only be used with an undirected graph. **The main characteristics are:** - The signature is for an **undirected** graph. - The returned values are ordered: - `edge` ascending - Running time: :math:`O(E * (V + E))` Signatures ------------------------------------------------------------------------------- .. index:: single: bridges .. code-block:: none pgr_bridges(Edges SQL) RETURNS SET OF (edge) OR EMPTY SET :Example: The bridges of the graph .. literalinclude:: doc-pgr_bridges.queries :start-after: -- q1 :end-before: -- q2 Parameters ------------------------------------------------------------------------------- .. include:: components-family.rst :start-after: components_parameters_start :end-before: components_parameters_end Inner query ------------------------------------------------------------------------------- :edges SQL: an SQL query of an **undirected** graph, which should return a set of rows with the following columns: .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- .. return_bridges_start Returns set of ``(edge)`` ============== ========== ================================================= Column Type Description ============== ========== ================================================= **edge** ``BIGINT`` Identifier of the edge that is a bridge. ============== ========== ================================================= .. return_bridges_end See Also ------------------------------------------------------------------------------- * https://en.wikipedia.org/wiki/Bridge_%28graph_theory%29 * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/components/pgr_connectedComponents.rst000066400000000000000000000077611414350551100241110ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ pgr_connectedComponents =============================================================================== ``pgr_connectedComponents`` — Connected components of an undirected graph using a DFS-based approach. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/connected_components.html Boost Graph Inside .. rubric:: Availability * Version 3.0.0 * Return columns change: * ``n_seq`` is removed * ``seq`` changed type to ``BIGINT`` * **Official** function * Version 2.5.0 * New **experimental** function Description ------------------------------------------------------------------------------- A connected component of an undirected graph is a set of vertices that are all reachable from each other. **The main characteristics are:** - The signature is for an **undirected** graph. - Components are described by vertices - The returned values are ordered: - `component` ascending - `node` ascending - Running time: :math:`O(V + E)` Signatures ------------------------------------------------------------------------------- .. index:: single: connectedComponents .. code-block:: none pgr_connectedComponents(edges_sql) RETURNS SET OF (seq, component, node) OR EMPTY SET :Example: The connected components of the graph .. literalinclude:: doc-pgr_connectedComponents.queries :start-after: -- q1 :end-before: -- q2 Parameters ------------------------------------------------------------------------------- .. include:: components-family.rst :start-after: components_parameters_start :end-before: components_parameters_end Inner query ------------------------------------------------------------------------------- :edges SQL: an SQL query of an **undirected** graph, which should return a set of rows with the following columns: .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- .. return_componentsV_start Returns set of ``(seq, component, node)`` ============== ========== ================================================= Column Type Description ============== ========== ================================================= **seq** ``BIGINT`` Sequential value starting from **1**. **component** ``BIGINT`` Component identifier. It is equal to the minimum node identifier in the component. **node** ``BIGINT`` Identifier of the vertex that belongs to **component**. ============== ========== ================================================= .. return_componentsV_end See Also ------------------------------------------------------------------------------- * :doc:`components-family` * The queries use the :doc:`sampledata` network. * Boost: `Connected components `__ * wikipedia: `Connected component `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/components/pgr_makeConnected.rst000066400000000000000000000124671414350551100226400ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: http://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ pgr_makeConnected - Experimental =============================================================================== ``pgr_makeConnected`` — Returns the set of edges that will make the graph connected. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/make_connected.html Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.2.0 * New **experimental** function Description ------------------------------------------------------------------------------- Adds the minimum number of edges needed to make the input graph connected. The algorithm first identifies all of the connected components in the graph, then adds edges to connect those components together in a path. For example, if a graph contains three connected components A, B, and C, make_connected will add two edges. The two edges added might consist of one connecting a vertex in A with a vertex in B and one connecting a vertex in B with a vertex in C. The main characteristics are: - It will give the minimum list of all edges which are needed in the graph to make the graph connected. - Applicable only for **undirected** graphs. - The algorithm does not considers traversal costs in the calculations. - Running time: :math:`O(V + E)` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. index:: single: makeConnected - Experimental on v3.2 .. code-block:: none pgr_makeConnected(Edges SQL) RETURNS SET OF (seq, start_vid, end_vid) OR EMPTY SET :Example: Query done on :doc:`sampledata` network gives the list of edges that are needed in the graph to make it connected. .. literalinclude:: doc-pgr_makeConnected.queries :start-after: -- q1 :end-before: -- q2 Parameters ------------------------------------------------------------------------------- =================== ====================== ========= ================================================= Parameter Type Default Description =================== ====================== ========= ================================================= **Edges SQL** ``TEXT`` SQL query as described below. =================== ====================== ========= ================================================= Inner query ------------------------------------------------------------------------------- :Edges SQL: an SQL query, which should return a set of rows with the following columns: ================= =================== ======== ================================================= Column Type Default Description ================= =================== ======== ================================================= **id** ``ANY-INTEGER`` Identifier of the edge. **source** ``ANY-INTEGER`` Identifier of the first end point vertex of the edge. **target** ``ANY-INTEGER`` Identifier of the second end point vertex of the edge. **cost** ``ANY-NUMERICAL`` - When positive: edge `(target, source)` is part of the graph. - When negative: edge `(target, source)` is not part of the graph. **reverse_cost** ``ANY-NUMERICAL`` -1 - When positive: edge `(target, source)` is part of the graph. - When negative: edge `(target, source)` is not part of the graph. ================= =================== ======== ================================================= Where: :ANY-INTEGER: SMALLINT, INTEGER, BIGINT :ANY-NUMERICAL: SMALLINT, INTEGER, BIGINT, REAL, FLOAT Result Columns ------------------------------------------------------------------------------- .. return_makeConnected_start Returns set of ``(seq, start_vid, end_vid)`` =============== =========== ============================================================ Column Type Description =============== =========== ============================================================ **seq** ``INT`` Sequential value starting from **1**. **start_vid** ``BIGINT`` Identifier of the first end point vertex of the edge. **end_vid** ``BIGINT`` Identifier of the second end point vertex of the edge. =============== =========== ============================================================ .. return_makeConnected_end See Also ------------------------------------------------------------------------------- * https://www.boost.org/libs/graph/doc/make_connected.html * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/components/pgr_strongComponents.rst000066400000000000000000000067421414350551100234610ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ pgr_strongComponents =============================================================================== ``pgr_strongComponents`` — Strongly connected components of a directed graph using Tarjan's algorithm based on DFS. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/strong_components.html Boost Graph Inside .. rubric:: Availability * Version 3.0.0 * Return columns change: * ``n_seq`` is removed * ``seq`` changed type to ``BIGINT`` * **Official** function * Version 2.5.0 * New **experimental** function Description ------------------------------------------------------------------------------- A strongly connected component of a directed graph is a set of vertices that are all reachable from each other. **The main characteristics are:** - The signature is for a **directed** graph. - Components are described by vertices - The returned values are ordered: - `component` ascending - `node` ascending - Running time: :math:`O(V + E)` Signatures ------------------------------------------------------------------------------- .. index:: single: strongComponents .. code-block:: none pgr_strongComponents(Edges SQL) RETURNS SET OF (seq, component, node) OR EMPTY SET :Example: The strong components of the graph .. literalinclude:: doc-pgr_strongComponents.queries :start-after: -- q1 :end-before: -- q2 Parameters ------------------------------------------------------------------------------- .. include:: components-family.rst :start-after: components_parameters_start :end-before: components_parameters_end Inner query ------------------------------------------------------------------------------- :edges SQL: an SQL query of a **directed** graph, which should return a set of rows with the following columns: .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: pgr_connectedComponents.rst :start-after: return_componentsV_start :end-before: return_componentsV_end See Also ------------------------------------------------------------------------------- * :doc:`components-family` * The queries use the :doc:`sampledata` network. * Boost: `Strong components `__ * wikipedia: `Strongly connected component `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/conf.py.in000066400000000000000000000313761414350551100162150ustar00rootroot00000000000000# -*- coding: utf-8 -*- ''' Copyright (c) 2015 pgRouting developers Mail: project@pgrouting.org ------ This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ''' # # pgRouting Documentation documentation build configuration file, created by # sphinx-quickstart on Sat Mar 23 16:03:51 2013. # # This file is execfile()d with the current directory set to its containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. import sys, os @SPHINX_INCLUDE@ # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. #sys.path.insert(0, os.path.abspath('.')) # -- General configuration ----------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. needs_sphinx = '1.1' # Add any Sphinx extension module names here, as strings. They can be extensions # coming with Sphinx (named 'sphinx.ext.*') or your custom ones. #mathjax_path="https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML" extensions = [ 'sphinx.ext.todo', 'sphinx.ext.mathjax', 'sphinx.ext.graphviz', ] # Add any paths that contain templates here, relative to this directory. templates_path = ["_templates"] # The suffix of source filenames. source_suffix = '.rst' # The encoding of source files. #source_encoding = 'utf-8-sig' # The master toctree document. master_doc = 'index' # General information about the project. project = u'pgRouting' copyright = u'pgRouting Contributors - Version @PROJECT_FULL_VERSION@' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = '@PROJECT_FULL_VERSION@' # The full version, including alpha/beta/rc tags. release = '@PROJECT_FULL_VERSION@' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. language = 'en' locale_dirs = ['@CMAKE_SOURCE_DIR@/locale/'] #gettext_compact = False # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: #today = '' # Else, today_fmt is used as the format for a strftime call. #today_fmt = '%B %d, %Y' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns = [ 'doc/build', 'pgr_withPointsVia.rst', 'maxFlowApplications.rst', '*/notUsed', 'tools/template' ] # 'src/pickDeliver/doc/pgr_withPointsVia.rst', # The reST default role (used for this markup: `text`) to use for all documents. #default_role = None # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True # If true, the current module name will be prepended to all description # unit titles (such as .. function::). add_module_names = False # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. show_authors = False # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # A list of ignored prefixes for module index sorting. #modindex_common_prefix = [] # -- Options for HTML output --------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. html_theme = '@SPHINX_THEME@' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. html_theme_options = { @SPHINX_THEME_OPTIONS@ } # Add any paths that contain custom themes here, relative to this directory. html_theme_path = @SPHINX_THEME_DIR@ # The name for this set of Sphinx documents. If None, it defaults to # " v documentation". html_title = "pgRouting Manual (@PROJECT_SHORT_VERSION@)" # A shorter title for the navigation bar. Default is the same as html_title. #html_short_title = None # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "_static/images/pgrouting.png" # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = "_static/images/favicon.ico" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ["_static"] def setup(app): app.add_css_file('custom.css') # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. html_last_updated_fmt = '%b %d, %Y' # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. #html_use_smartypants = True # Custom sidebar templates, maps document names to template names. html_sidebars = { # '**': ['globaltoc.html', 'relations.html', 'sourcelink.html', 'searchbox.html'], # 'using/windows': ['windowssidebar.html', 'searchbox.html'], } # Additional templates that should be rendered to pages, maps page names to # template names. #html_additional_pages = {} # If false, no module index is generated. html_domain_indices = False # If false, no index is generated. html_use_index = True # If true, the index is split into individual pages for each letter. #html_split_index = False # If true, links to the reST sources are added to the pages. html_show_sourcelink = False # Don't copy sources html_copy_source = False # If true, "Created using Sphinx" is shown in the HTML footer. Default is True. html_show_sphinx = True # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. html_show_copyright = True # If true, an OpenSearch description file will be output, and all pages will # contain a tag referring to it. The value of this option must be the # base URL from which the finished HTML is served. #html_use_opensearch = '' # This is the file name suffix for HTML files (e.g. ".xhtml"). #html_file_suffix = None # Output file base name for HTML help builder. htmlhelp_basename = 'pgRoutingDocumentationdoc' # -- Options for LaTeX output -------------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). 'papersize': 'a4paper', # The font size ('10pt', '11pt' or '12pt'). 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. #'preamble': '', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, author, documentclass [howto/manual]). latex_documents = [ ('index', 'pgRoutingDocumentation.tex', u'pgRouting Manual', u'pgRouting Contributors', 'manual'), ] # The name of an image file (relative to this directory) to place at the top of # the title page. latex_logo = "_static/images/pgrouting.png" # For "manual" documents, if this is true, then toplevel headings are parts, # not chapters. latex_use_parts = False # If true, show page references after internal links. #latex_show_pagerefs = False # If true, show URL addresses after external links. latex_show_urls = 'footnote' # Documents to append as an appendix to all manuals. #latex_appendices = [] # If false, no module index is generated. latex_domain_indices = False # -- Options for manual page output -------------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ ('index_man', 'pgrouting', u'pgRouting Reference', u'pgRouting Contributors', 7) ] # If true, show URL addresses after external links. man_show_urls = False # -- Options for Texinfo output ------------------------------------------------ # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ ('index', 'pgrouting', u'pgRouting Manual', u'pgRouting Contributors', 'pgRoutingDocumentation', 'One line description of project.', 'Miscellaneous'), ] # Documents to append as an appendix to all manuals. #texinfo_appendices = [] # If false, no module index is generated. #texinfo_domain_indices = True # How to display URL addresses: 'footnote', 'no', or 'inline'. #texinfo_show_urls = 'footnote' # -- Options for PDF output -------------------------------------------------- # Grouping the document tree into PDF files. List of tuples # (source start file, target name, title, author, options). # # If there is more than one author, separate them with \\. # For example: r'Guido van Rossum\\Fred L. Drake, Jr., editor' # # The options element is a dictionary that lets you override # this config per-document. # For example, # ('index', u'MyProject', u'My Project', u'Author Name', # dict(pdf_compressed = True)) # would mean that specific document would be compressed # regardless of the global pdf_compressed setting. pdf_documents = [( 'index', u'pgr_Documentation', 'pgRouting Manual', u'pgRouting Contributors')] # A comma-separated list of custom stylesheets. Example: pdf_stylesheets = ['sphinx','kerning','a4'] # A list of folders to search for stylesheets. Example: pdf_style_path = ['.', '_styles'] # Linkcheck configuration, see https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-the-linkcheck-builder # cases to ignore during link checking linkcheck_ignore = [ 'https://docs.pgrouting.org/latest/en/pgr_edgeColoring.html', # FIXME: tmp disable due to Retry-After header for rate-limiting by Github not respected # (see: https://github.com/sphinx-doc/sphinx/issues/7388) "https://github.com/pgRouting/pgrouting/issues/*", # limit only pgrouting ] linkcheck_timeout = 20 linkcheck_retries = 5 linkcheck_anchors = False rst_epilog=""" .. |ANY-INTEGER| replace:: :abbr:`ANY-INTEGER(SMALLINT, INTEGER, BIGINT)` .. |ANY-NUMERICAL| replace:: :abbr:`ANY-NUMERICAL(SMALLINT, INTEGER, BIGINT, REAL, FLOAT)` """ # Create a compressed PDF # Use True/False or 1/0 # Example: compressed=True #pdf_compressed = False # A colon-separated list of folders to search for fonts. Example: # pdf_font_path = ['/usr/share/fonts', '/usr/share/texmf-dist/fonts/'] # Language to be used for hyphenation support #pdf_language = "en_US" # Mode for literal blocks wider than the frame. Can be # overflow, shrink or truncate #pdf_fit_mode = "shrink" # Section level that forces a break page. # For example: 1 means top-level sections start in a new page # 0 means disabled #pdf_break_level = 0 # When a section starts in a new page, force it to be 'even', 'odd', # or just use 'any' #pdf_breakside = 'any' # Insert footnotes where they are defined instead of # at the end. #pdf_inline_footnotes = True # verbosity level. 0 1 or 2 #pdf_verbosity = 0 # If false, no index is generated. #pdf_use_index = True # If false, no modindex is generated. #pdf_use_modindex = True # If false, no coverpage is generated. #pdf_use_coverpage = True # Name of the cover page template to use #pdf_cover_template = 'sphinxcover.tmpl' # Documents to append as an appendix to all manuals. #pdf_appendices = [] # Enable experimental feature to split table cells. Use it # if you get "DelayedTable too big" errors #pdf_splittables = False # Set the default DPI for images #pdf_default_dpi = 72 # Enable rst2pdf extension modules (default is only vectorpdf) # you need vectorpdf if you want to use sphinx's graphviz support #pdf_extensions = ['vectorpdf'] # Page template name for "regular" pages #pdf_page_template = 'cutePage' # Show Table Of Contents at the beginning? #pdf_use_toc = True # How many levels deep should the table of contents be? pdf_toc_depth = 9999 # Add section number to section references pdf_use_numbered_links = False # Background images fitting mode pdf_fit_background_mode = 'scale' pgrouting-3.3.0/doc/contraction/000077500000000000000000000000001414350551100166225ustar00rootroot00000000000000pgrouting-3.3.0/doc/contraction/CMakeLists.txt000066400000000000000000000006341414350551100213650ustar00rootroot00000000000000 SET(LOCAL_FILES contraction-family.rst pgr_contraction.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() add_subdirectory("images") set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) set(PROJECT_IMG_FILES ${PROJECT_IMG_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/contraction/contraction-family.rst000066400000000000000000000477431414350551100231750ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ Contraction - Family of functions =============================================================================== .. index from here * :doc:`pgr_contraction` .. index to here .. toctree:: :hidden: pgr_contraction Introduction ------------------------------------------------------------------------------- In large graphs, like the road graphs, or electric networks, graph contraction can be used to speed up some graph algorithms. Contraction reduces the size of the graph by removing some of the vertices and edges and, for example, might add edges that represent a sequence of original edges decreasing the total time and space used in graph algorithms. This implementation gives a flexible framework for adding contraction algorithms in the future, currently, it supports two algorithms: 1. Dead end contraction 2. Linear contraction Allowing the user to: - Forbid contraction on a set of nodes. - Decide the order of the contraction algorithms and set the maximum number of times they are to be executed. Dead end contraction ------------------------------------------------------------------------------- In the algorithm, dead end contraction is represented by 1. Dead end .............................................................................. In case of an undirected graph, a node is considered a `dead end` node when * `The number of adjacent vertices is 1.`_ In case of a directed graph, a node is considered a `dead end` node when * `The number of adjacent vertices is 1.`_ * `There are no outgoing edges and has at least one incoming edge.`_ * `There are no incoming edges and has at least one outgoing edge.`_ When the conditions are true then the `Operation: Dead End Contraction`_ can be done. The number of adjacent vertices is 1. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - The green nodes are `dead end`_ nodes - The blue nodes have an unlimited number of incoming and outgoing edges. .. rubric:: Directed graph .. graphviz:: digraph G { u, v [shape=circle;style=filled;width=.4;color=deepskyblue]; w, z [style=filled; color=green]; G [shape=tripleoctagon;width=1.5;style=filled;color=deepskyblue;label = "Rest of the Graph"]; rankdir=LR; G -> {u, v} [dir=none, weight=1, penwidth=3]; u -> w -> u; v -> z; } .. rubric:: Undirected graph .. graphviz:: graph G { u, v [shape=circle;style=filled;width=.4;color=deepskyblue]; w, z [style=filled; color=green]; G [shape=tripleoctagon;width=1.5;style=filled;color=deepskyblue;label = "Rest of the Graph"]; rankdir=LR; G -- {u, v} [dir=none, weight=1, penwidth=3]; u -- w [color=black]; u -- w [color=darkgray]; v -- z; } There are no outgoing edges and has at least one incoming edge. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - The green nodes are `dead end`_ nodes - The blue nodes have an unlimited number of incoming and outgoing edges. .. rubric:: Directed graph .. graphviz:: digraph G { u, v [shape=circle;style=filled;width=.4;color=deepskyblue]; w, z [style=filled; color=green]; G [shape=tripleoctagon;width=1.5;style=filled;color=deepskyblue;label = "Rest of the Graph"]; rankdir=LR; G -> {u, v} [dir=none, weight=1, penwidth=3]; u -> w; v -> w; v -> z; } There are no incoming edges and has at least one outgoing edge. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - The green nodes are `dead end`_ nodes - The blue nodes have an unlimited number of incoming and outgoing edges. - Considering that the nodes are `dead starts` nodes .. rubric:: Directed graph .. graphviz:: digraph G { u, v [shape=circle;style=filled;width=.4;color=deepskyblue]; w, z [style=filled; color=green]; G [shape=tripleoctagon;width=1.5;style=filled;color=deepskyblue;label = "Rest of the Graph"]; rankdir=LR; {u, v} -> G [dir=none, weight=1, penwidth=3]; w -> u; w -> v; z -> v; } Operation: Dead End Contraction ............................................................................... The dead end contraction will stop until there are no more dead end nodes. For example from the following graph where ``w`` is the `dead end`_ node: .. graphviz:: digraph G { u, v [shape=circle;style=filled;width=.4;color=deepskyblue]; w [style=filled; color=green]; "G" [shape=tripleoctagon;style=filled;color=deepskyblue; label = "Rest of the Graph"]; rankdir=LR; G -> u [dir=none, weight=1, penwidth=3]; u -> v -> w; } After contracting ``w``, node ``v`` is now a `dead end`_ node and is contracted: .. graphviz:: digraph G { u [shape=circle;style=filled;width=.4;color=deepskyblue]; v [style=filled; color=green, label="v{w}"]; "G" [shape=tripleoctagon;style=filled;color=deepskyblue; label = "Rest of the Graph"]; rankdir=LR; G -> u [dir=none, weight=1, penwidth=3]; u -> v; } After contracting ``v``, stop. Node ``u`` has the information of nodes that were contrcted. .. graphviz:: digraph G { u [style=filled; color=green, label="u{v,w}"]; "G" [shape=tripleoctagon;style=filled;color=deepskyblue; label = "Rest of the Graph"]; rankdir=LR; G -> u [dir=none, weight=1, penwidth=3]; } Node ``u`` has the information of nodes that were contracted. Linear contraction ------------------------------------------------------------------------------- In the algorithm, linear contraction is represented by 2. Linear ................................................................................ In case of an undirected graph, a node is considered a `linear` node when * `The number of adjacent vertices is 2.`_ In case of a directed graph, a node is considered a `linear` node when * `The number of adjacent vertices is 2.`_ * `Linearity is symmetrical`_ The number of adjacent vertices is 2. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - The green nodes are `linear`_ nodes - The blue nodes have an unlimited number of incoming and outgoing edges. .. rubric:: Directed .. graphviz:: digraph G { u, c, a, w [shape=circle;style=filled;width=.4;color=deepskyblue]; v, b [style=filled; color=green]; G [shape=tripleoctagon;width=1.5;style=filled;color=deepskyblue;label = "Rest of the Graph"]; rankdir=LR; {w, c} -> G -> {u, a} [dir=none, weight=1, penwidth=3]; u -> v -> w; a -> b -> c; c -> b -> a[color=darkgray]; } .. rubric:: Undirected .. graphviz:: graph G { u, w [shape=circle;style=filled;width=.4;color=deepskyblue]; v [style=filled; color=green]; G [shape=tripleoctagon;width=1.5;style=filled;color=deepskyblue;label = "Rest of the Graph"]; rankdir=LR; w -- G -- u [dir=none, weight=1, penwidth=3]; u -- v -- w; } Linearity is symmetrical +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Using a contra example, vertex ``v`` is not linear because it's not possible to go from ``w`` to ``u`` via ``v``. .. graphviz:: digraph G { u, w, v [shape=circle;style=filled;width=.4;color=deepskyblue]; G [shape=tripleoctagon;width=1.5;style=filled;color=deepskyblue;label = "Rest of the Graph"]; rankdir=LR; {w} -> G -> {u} [dir=none, weight=1, penwidth=3]; u -> v -> w -> v; } Operation: Linear Contraction ............................................................................... The linear contraction will stop until there are no more linear nodes. For example from the following graph where ``v`` and ``w`` are `linear`_ nodes: .. graphviz:: digraph G { u, z [shape=circle;style=filled;color=deepskyblue]; v, w [style=filled; color=green]; "G" [shape=tripleoctagon; style=filled;color=deepskyblue;label = "Rest of the Graph"]; rankdir=LR; G -> {u, z} [dir=none, weight=1, penwidth=3]; u -> v -> w -> z; } After contracting ``w``, * The vertex ``w`` is removed from the graph * The edges :math:`v \rightarrow w` and :math:`w \rightarrow z` are removed from the graph. * A new edge :math:`v \rightarrow z` is inserted represented with red color. .. graphviz:: digraph G { u, z [shape=circle;style=filled;color=deepskyblue]; v [style=filled; color=green]; "G" [shape=tripleoctagon; style=filled;color=deepskyblue;label = "Rest of the Graph"]; rankdir=LR; G -> {u, z} [dir=none, weight=1, penwidth=3]; u -> v; v -> z [label="{w}";color=red] } Contracting ``v``: * The vertex ``v`` is removed from the graph * The edges :math:`u \rightarrow v` and :math:`v \rightarrow z` are removed from the graph. * A new edge :math:`u \rightarrow z` is inserted represented with red color. .. graphviz:: digraph G { u, z [shape=circle;style=filled;color=deepskyblue]; "G" [shape=tripleoctagon; style=filled;color=deepskyblue;label = "Rest of the Graph"]; rankdir=LR; G -> {u, z} [dir=none, weight=1, penwidth=3]; u -> z [label="{v, w}";color=red] } Edge :math:`u \rightarrow z` has the information of nodes that were contracted. The cycle ------------------------------------------------------------------------------- Contracting a graph, can be done with more than one operation. The order of the operations affect the resulting contracted graph, after applying one operation, the set of vertices that can be contracted by another operation changes. This implementation, cycles ``max_cycles`` times through ``operations_order`` . .. code-block:: none do max_cycles times { for (operation in operations_order) { do operation } } Contracting Sample Data ------------------------------------------------------------------------------- In this section, building and using a contracted graph will be shown by example. - The :doc:`sampledata` for an undirected graph is used - a dead end operation first followed by a linear operation. Construction of the graph in the database ............................................................................... .. rubric:: Original Data The following query shows the original data involved in the contraction operation. .. literalinclude:: doc-contraction-family.queries :start-after: -- q00 :end-before: -- q01 The original graph: .. image:: images/undirected_sampledata_a.png :scale: 50% Contraction Results +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ The results do not represent the contracted graph. They represent the changes done to the graph after applying the contraction algorithm. Observe that vertices, for example, :math:`6` do not appear in the results because it was not affected by the contraction algorithm. .. literalinclude:: doc-contraction-family.queries :start-after: -- q2 :end-before: -- q3 After doing the dead end contraction operation: .. image:: images/undirected_sampledata_b.png :scale: 50% After doing the linear contraction operation to the graph above: .. image:: images/undirected_sampledata_c.png :scale: 50% The process to create the contraction graph on the database: * `Add additional columns`_ * `Store contraction information`_ * `Update the vertices and edge tables`_ Add additional columns +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Adding extra columns to the ``edge_table`` and ``edge_table_vertices_pgr`` tables, where: ======================== ================================================== Column Description ======================== ================================================== **contracted_vertices** The vertices set belonging to the vertex/edge **is_contracted** On the `vertex` table * when ``true`` the vertex is contracted, its not part of the contracted graph. * when ``false`` the vertex is not contracted, its part of the contracted graph. **is_new** On the `edge` table: * when ``true`` the edge was generated by the contraction algorithm. its part of the contracted graph. * when ``false`` the edge is an original edge, might be or not part of the contracted graph. ======================== ================================================== .. literalinclude:: doc-contraction-family.queries :start-after: -- q1 :end-before: -- q2 Store contraction information +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Store the `contraction results`_ in a table .. literalinclude:: doc-contraction-family.queries :start-after: -- q3 :end-before: -- q4 Update the vertices and edge tables +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ .. rubric:: Update the `vertex` table using the contraction information Use ``edge_table_vertices_pgr.is_contracted`` to indicate the vertices that are contracted. .. literalinclude:: doc-contraction-family.queries :start-after: -- q4 :end-before: -- q5 Add to ``edge_table_vertices_pgr.contracted_vertices`` the contracted vertices belonging to the vertices. .. literalinclude:: doc-contraction-family.queries :start-after: -- q6 :end-before: -- q7 The modified ``edge_table_vertices_pgr``. .. literalinclude:: doc-contraction-family.queries :start-after: -- q7 :end-before: -- q8 .. rubric:: Update the `edge` table using the contraction information Insert the new edges generated by pgr_contraction. .. literalinclude:: doc-contraction-family.queries :start-after: -- q8 :end-before: -- q9 The modified ``edge_table``. .. literalinclude:: doc-contraction-family.queries :start-after: -- q9 :end-before: -- q10 The contracted graph ............................................................................... Vertices that belong to the contracted graph. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ .. literalinclude:: doc-contraction-family.queries :start-after: -- q10 :end-before: -- q11 Edges that belong to the contracted graph. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ .. literalinclude:: doc-contraction-family.queries :start-after: -- q11 :end-before: -- case1 .. image:: images/undirected_sampledata_c.png :scale: 50% Using the contracted graph ............................................................................... Using the contracted graph with ``pgr_dijkstra`` There are three cases when calculating the shortest path between a given source and target in a contracted graph: - Case 1: Both source and target belong to the contracted graph. - Case 2: Source and/or target belong to an edge subgraph. - Case 3: Source and/or target belong to a vertex. Case 1: Both source and target belong to the contracted graph. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Using the `Edges that belong to the contracted graph.`_ on lines 10 to 19. .. literalinclude:: doc-contraction-family.queries :emphasize-lines: 10-19 :start-after: -- case1 :end-before: -- use1 :linenos: .. rubric:: Case 1 When both source and target belong to the contracted graph, a path is found. .. literalinclude:: doc-contraction-family.queries :start-after: -- use1 :end-before: -- use1-1 .. rubric:: Case 2 When source and/or target belong to an edge subgraph then a path is not found. In this case, the contracted graph do not have an edge connecting with node :math:`4`. .. literalinclude:: doc-contraction-family.queries :start-after: -- use1-1 :end-before: -- use1-2 .. rubric:: Case 3 When source and/or target belong to a vertex then a path is not found. In this case, the contracted graph do not have an edge connecting with node :math:`7` and of node :math:`4` of the second case. .. literalinclude:: doc-contraction-family.queries :start-after: -- use1-2 :end-before: -- case2 Case 2: Source and/or target belong to an edge subgraph. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Refining the above function to include nodes that belong to an edge. - The vertices that need to be expanded are calculated on lines 10 to 16. - Adding to the contracted graph that additional section on lines 25 to 27. .. literalinclude:: doc-contraction-family.queries :emphasize-lines: 10-16, 25-27 :start-after: -- case2 :end-before: -- use2 :linenos: .. rubric:: Case 1 When both source and target belong to the contracted graph, a path is found. .. literalinclude:: doc-contraction-family.queries :start-after: -- use2 :end-before: -- use2-1 .. rubric:: Case 2 When source and/or target belong to an edge subgraph, now, a path is found. The routing graph now has an edge connecting with node :math:`4`. .. literalinclude:: doc-contraction-family.queries :start-after: -- use2-1 :end-before: -- use2-2 .. rubric:: Case 3 When source and/or target belong to a vertex then a path is not found. In this case, the contracted graph do not have an edge connecting with node :math:`7`. .. literalinclude:: doc-contraction-family.queries :start-after: -- use2-2 :end-before: -- case3 Case 3: Source and/or target belong to a vertex. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Refining the above function to include nodes that belong to an edge. - The vertices that need to be expanded are calculated on lines 18 to 23. - Adding to the contracted graph that additional section on lines 38 to 40. .. literalinclude:: doc-contraction-family.queries :emphasize-lines: 18-23, 38-40 :start-after: -- case3 :end-before: -- use3 :linenos: .. rubric:: Case 1 When both source and target belong to the contracted graph, a path is found. .. literalinclude:: doc-contraction-family.queries :start-after: -- use3 :end-before: -- use3-1 .. rubric:: Case 2 The code change do not affect this case so when source and/or target belong to an edge subgraph, a path is still found. .. literalinclude:: doc-contraction-family.queries :start-after: -- use3-1 :end-before: -- use3-2 .. rubric:: Case 3 When source and/or target belong to a vertex, now, a path is found. Now, the routing graph has an edge connecting with node :math:`7`. .. literalinclude:: doc-contraction-family.queries :start-after: -- use3-2 :end-before: -- end See Also ------------- * https://www.cs.cmu.edu/afs/cs/academic/class/15210-f12/www/lectures/lecture16.pdf * https://algo2.iti.kit.edu/documents/routeplanning/geisberger_dipl.pdf * The queries use :doc:`pgr_contraction` function and the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/contraction/images/000077500000000000000000000000001414350551100200675ustar00rootroot00000000000000pgrouting-3.3.0/doc/contraction/images/CMakeLists.txt000066400000000000000000000010331414350551100226240ustar00rootroot00000000000000 SET(LOCAL_FILES twoNodesoneEdge_a.png twoNodesoneEdge_b.png threeNodestwoEdges_a.png threeNodestwoEdges_b.png threeNodestwoEdges_c.png undirected_sampledata_b.png undirected_sampledata_a.png undirected_sampledata_c.png ) foreach (f ${LOCAL_FILES}) 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The main Characteristics are: - Process is done only on edges with positive costs. - Does not return the full contracted graph - Only changes on the graph are returned - Currnetly there are two types of contraction methods - Dead End Contraction - Linear Contraction - The returned values include - the added edges by linear contraction. - the modified vertices by dead end contraction. - The returned values are ordered as follows: - column `id` ascending when type = `v` - column `id` descending when type = `e` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary The pgr_contraction function has the following signature: .. index:: single: contraction .. code-block:: none pgr_contraction(Edges SQL, Contraction order [, max_cycles] [, forbidden_vertices] [, directed]) RETURNS SETOF (type, id, contracted_vertices, source, target, cost) :Example: Making a dead end contraction and a linear contraction with vertex 2 forbidden from being contracted .. literalinclude:: doc-pgr_contraction.queries :start-after: -- q2 :end-before: -- q3 Parameters ------------------------------------------------------------------------------- ======================= ====================== ================================================= Column Type Description ======================= ====================== ================================================= **Edges SQL** ``TEXT`` SQL query as described in `Inner query`_ **Ccontraction Order** ``ARRAY[ANY-INTEGER]`` Ordered contraction operations. - 1 = Dead end contraction - 2 = Linear contraction ======================= ====================== ================================================= Optional Parameters ............................................................................... ======================= ====================== ============ ===================================== Column Type Default Description ======================= ====================== ============ ===================================== **forbidden_vertices** ``ARRAY[ANY-INTEGER]`` Empty Identifiers of vertices forbidden from contraction. **max_cycles** ``INTEGER`` :math:`1` Number of times the contraction operations on `contraction_order` will be performed. **directed** ``BOOLEAN`` ``true`` * When ``true`` the graph is considered as `Directed`. * When ``false`` the graph is considered as `Undirected`. ======================= ====================== ============ ===================================== Inner query ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- RETURNS SETOF (type, id, contracted_vertices, source, target, cost) The function returns a single row. The columns of the row are: ============================ ================= =================================================================== Column Type Description ============================ ================= =================================================================== **type** ``TEXT`` Type of the `id`. - **'v'** when the row is a vertex. - **'e'** when the row is an edge. **id** ``BIGINT`` All numbers on this column are ``DISTINCT`` * When ``type`` = **'v'**. * Identifier of the modified vertex. * When ``type`` = **'e'**. - Decreasing sequence starting from **-1**. - Representing a pseudo `id` as is not incorporated in the set of original edges. **contracted_vertices** ``ARRAY[BIGINT]`` Array of contracted vertex identifiers. **source** ``BIGINT`` * When ``type`` = **'v'**: :math:`-1` * When ``type`` = **'e'**: Identifier of the source vertex of the current edge (``source``, ``target``). **target** ``BIGINT`` * When ``type`` = **'v'**: :math:`-1` * When ``type`` = **'e'**: Identifier of the target vertex of the current edge (``source``, ``target``). **cost** ``FLOAT`` * When ``type`` = **'v'**: :math:`-1` * When ``type`` = **'e'**: Weight of the current edge (``source``, ``target``). ============================ ================= =================================================================== Additional Examples ------------------------------------------------------------------------------- :Example: Only dead end contraction .. literalinclude:: doc-pgr_contraction.queries :start-after: -- q3 :end-before: -- q4 :Example: Only linear contraction .. literalinclude:: doc-pgr_contraction.queries :start-after: -- q4 :end-before: -- q5 See Also ------------------------------------------------------------------------------- * :doc:`contraction-family` .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/dagShortestPath/000077500000000000000000000000001414350551100174035ustar00rootroot00000000000000pgrouting-3.3.0/doc/dagShortestPath/CMakeLists.txt000066400000000000000000000004611414350551100221440ustar00rootroot00000000000000 SET(LOCAL_FILES pgr_dagShortestPath.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/dagShortestPath/pgr_dagShortestPath.rst000066400000000000000000000173451414350551100241230ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_dagShortestPath - Experimental =============================================================================== ``pgr_dagShortestPath`` — Returns the shortest path(s) for weighted directed acyclic graphs(DAG). In particular, the DAG shortest paths algorithm implemented by Boost.Graph. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/dag_shortest_paths.html Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.2.0 * New **experimental** function: * pgr_dagShortestPath(Combinations) * Version 3.0.0 * New **experimental** function Description ------------------------------------------------------------------------------- Shortest Path for Directed Acyclic Graph(DAG) is a graph search algorithm that solves the shortest path problem for weighted directed acyclic graph, producing a shortest path from a starting vertex (``start_vid``) to an ending vertex (``end_vid``). This implementation can only be used with a **directed** graph with no cycles i.e. directed acyclic graph. The algorithm relies on topological sorting the dag to impose a linear ordering on the vertices, and thus is more efficient for DAG's than either the Dijkstra or Bellman-Ford algorithm. The main characteristics are: - Process is valid for weighted directed acyclic graphs only. otherwise it will throw warnings. - Values are returned when there is a path. - When the starting vertex and ending vertex are the same, there is no path. - The `agg_cost` the non included values `(v, v)` is `0` - When the starting vertex and ending vertex are the different and there is no path: - The `agg_cost` the non included values `(u, v)` is :math:`\infty` - For optimization purposes, any duplicated value in the `start_vids` or `end_vids` are ignored. - The returned values are ordered: - `start_vid` ascending - `end_vid` ascending * Running time: :math:`O(| start\_vids | * (V + E))` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_dagShortestPath(Edges SQL, from_vid, to_vid) pgr_dagShortestPath(Edges SQL, from_vid, to_vids) pgr_dagShortestPath(Edges SQL, from_vids, to_vid) pgr_dagShortestPath(Edges SQL, from_vids, to_vids) pgr_dagShortestPath(Edges SQL, Combinations) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET .. index:: single: dagShortestPath(One to One) - Experimental on v3.0 One to One ............................................................................... .. code-block:: none pgr_dagShortestPath(Edges SQL, from_vid, to_vid) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`1` to vertex :math:`6` .. literalinclude:: doc-pgr_dagShortestPath.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: dagShortestPath(One to Many) - Experimental on v3.0 One to Many ............................................................................... .. code-block:: none pgr_dagShortestPath(Edges SQL, from_vid, to_vids) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`1` to vertices :math:`\{ 5, 6\}` .. literalinclude:: doc-pgr_dagShortestPath.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: dagShortestPath(Many to One) - Experimental on v3.0 Many to One ............................................................................... .. code-block:: none pgr_dagShortestPath(Edges SQL, from_vids, to_vid) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{1, 3\}` to vertex :math:`6` .. literalinclude:: doc-pgr_dagShortestPath.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: dagShortestPath(Many to Many) - Experimental on v3.0 Many to Many ............................................................................... .. code-block:: none pgr_dagShortestPath(Edges SQL, from_vids, to_vids) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{1, 4\}` to vertices :math:`\{12, 6\}` .. literalinclude:: doc-pgr_dagShortestPath.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: dagShortestPath(Combinations) - Experimental on v3.2 Combinations ............................................................................... .. code-block:: none pgr_dagShortestPath(Edges SQL, Combinations) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: Using a combinations table on a Directed Acyclic Graph. .. literalinclude:: doc-pgr_dagShortestPath.queries :start-after: -- q5 :end-before: -- q6 Parameters ------------------------------------------------------------------------------- .. pgr_dagShortestPath_parameters_start .. rubric:: Description of the parameters of the signatures ===================== ================== ======== ================================================= Parameter Type Default Description ===================== ================== ======== ================================================= **Edges SQL** ``TEXT`` Edges query as described below. **Combinations SQL** ``TEXT`` Combinations query as described above. **start_vid** ``BIGINT`` Identifier of the starting vertex of the path. **start_vids** ``ARRAY[BIGINT]`` Array of identifiers of starting vertices. **end_vid** ``BIGINT`` Identifier of the ending vertex of the path. **end_vids** ``ARRAY[BIGINT]`` Array of identifiers of ending vertices. ===================== ================== ======== ================================================= .. pgr_dagShortestPath_parameters_end Inner Queries ------------------------------------------------------------------------------- Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end Results Columns ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_path_short_start :end-before: return_path_short_end See Also ------------------------------------------------------------------------------- * https://en.wikipedia.org/wiki/Topological_sorting * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/dijkstra/000077500000000000000000000000001414350551100161125ustar00rootroot00000000000000pgrouting-3.3.0/doc/dijkstra/CMakeLists.txt000066400000000000000000000007101414350551100206500ustar00rootroot00000000000000 SET(LOCAL_FILES dijkstra-family.rst pgr_dijkstraCostMatrix.rst pgr_dijkstraCost.rst pgr_dijkstra.rst pgr_dijkstraVia.rst pgr_dijkstraNear.rst pgr_dijkstraNearCost.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/dijkstra/dijkstra-family.rst000066400000000000000000000140461414350551100217430ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ Dijkstra - Family of functions =============================================================================== .. index from here * :doc:`pgr_dijkstra` - Dijkstra's algorithm for the shortest paths. * :doc:`pgr_dijkstraCost` - Get the aggregate cost of the shortest paths. * :doc:`pgr_dijkstraCostMatrix` - Use pgr_dijkstra to create a costs matrix. * :doc:`pgr_drivingDistance` - Use pgr_dijkstra to calculate catchament information. * :doc:`pgr_KSP` - Use Yen algorithm with pgr_dijkstra to get the K shortest paths. .. index to here .. rubric:: Proposed .. include:: proposed.rst :start-after: stable-begin-warning :end-before: stable-end-warning .. index proposed from here * :doc:`pgr_dijkstraVia` - Get a route of a seuence of vertices. * :doc:`pgr_dijkstraNear` - Get the route to the nearest vertex. * :doc:`pgr_dijkstraNearCost` - Get the cost to the nearest vertex. .. index proposed to here .. toctree:: :hidden: pgr_dijkstra pgr_dijkstraCost pgr_dijkstraCostMatrix pgr_drivingDistance pgr_KSP pgr_dijkstraVia pgr_dijkstraNear pgr_dijkstraNearCost The problem definition (Advanced documentation) ----------------------------------------------- Given the following query: pgr_dijkstra(:math:`sql, start_{vid}, end_{vid}, directed`) where :math:`sql = \{(id_i, source_i, target_i, cost_i, reverse\_cost_i)\}` and - :math:`source = \bigcup source_i`, - :math:`target = \bigcup target_i`, The graphs are defined as follows: .. rubric:: Directed graph The weighted directed graph, :math:`G_d(V,E)`, is definied by: * the set of vertices :math:`V` - :math:`V = source \cup target \cup {start_{vid}} \cup {end_{vid}}` * the set of edges :math:`E` - :math:`E = \begin{cases} \text{ } \{(source_i, target_i, cost_i) \text{ when } cost >=0 \} & \quad \text{if } reverse\_cost = \varnothing \\ \text{ } \text{ } & \quad \text{ } \\ \text{ } \{(source_i, target_i, cost_i) \text{ when } cost >=0 \} & \quad \text{ } \\ \cup \{(target_i, source_i, reverse\_cost_i) \text{ when } reverse\_cost_i>=0 \} & \quad \text{if } reverse\_cost \neq \varnothing \\ \end{cases}` .. rubric:: Undirected graph The weighted undirected graph, :math:`G_u(V,E)`, is definied by: * the set of vertices :math:`V` - :math:`V = source \cup target \cup {start_v{vid}} \cup {end_{vid}}` * the set of edges :math:`E` - :math:`E = \begin{cases} \text{ } \{(source_i, target_i, cost_i) \text{ when } cost >=0 \} & \quad \text{ } \\ \cup \{(target_i, source_i, cost_i) \text{ when } cost >=0 \} & \quad \text{ if } reverse\_cost = \varnothing \\ \text{ } \text{ } & \text{ } \\ \text{ } \{(source_i, target_i, cost_i) \text{ when } cost >=0 \} & \text{ } \\ \cup \{(target_i, source_i, cost_i) \text{ when } cost >=0 \} & \text{ } \\ \cup \{(target_i, source_i, reverse\_cost_i) \text{ when } reverse\_cost_i >=0)\} & \text{ } \\ \cup \{(source_i, target_i, reverse\_cost_i) \text{ when } reverse\_cost_i >=0)\} & \quad \text{ if } reverse\_cost \neq \varnothing \\ \end{cases}` .. rubric:: The problem Given: - :math:`start_{vid} \in V` a starting vertex - :math:`end_{vid} \in V` an ending vertex - :math:`G(V,E) = \begin{cases} G_d(V,E) & \quad \text{ if6 } directed = true \\ G_u(V,E) & \quad \text{ if5 } directed = false \\ \end{cases}` Then: .. math::`pgr_dijkstra(sql, start_{vid}, end_{vid}, directed) = \begin{cases} \text{shortest path } \boldsymbol{\pi} \text{ between } start_{vid} \text{and } end_{vid} & \quad \text{if7 } \exists \boldsymbol{\pi} \\ \varnothing & \quad \text{otherwise} \\ \end{cases}` - :math:`\boldsymbol{\pi} = \{(path\_seq_i, node_i, edge_i, cost_i, agg\_cost_i)\}` where: - :math:`path\_seq_i = i` - :math:`path\_seq_{| \pi |} = | \pi |` - :math:`node_i \in V` - :math:`node_1 = start_{vid}` - :math:`node_{| \pi |} = end_{vid}` - :math:`\forall i \neq | \pi |, \quad (node_i, node_{i+1}, cost_i) \in E` - :math:`edge_i = \begin{cases} id_{(node_i, node_{i+1},cost_i)} &\quad \text{when } i \neq | \pi | \\ -1 &\quad \text{when } i = | \pi | \\ \end{cases}` - :math:`cost_i = cost_{(node_i, node_{i+1})}` - :math:`agg\_cost_i = \begin{cases} 0 &\quad \text{when } i = 1 \\ \displaystyle\sum_{k=1}^{i} cost_{(node_{k-1}, node_k)} &\quad \text{when } i \neq 1 \\ \end{cases}` In other words: The algorithm returns a the shortest path between :math:`start_{vid}` and :math:`end_{vid}` , if it exists, in terms of a sequence of nodes and of edges, - :math:`path\_seq` indicates the relative position in the path of the :math:`node` or :math:`edge`. - :math:`cost` is the cost of the edge to be used to go to the next node. - :math:`agg\_cost` is the cost from the :math:`start_{vid}` up to the node. If there is no path, the resulting set is empty. See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/dijkstra/pgr_dijkstra.rst000066400000000000000000000250511414350551100213320ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ pgr_dijkstra =============================================================================== ``pgr_dijkstra`` — Returns the shortest path(s) using Dijkstra algorithm. In particular, the Dijkstra algorithm implemented by Boost.Graph. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/dijkstra_shortest_paths.html Boost Graph Inside .. rubric:: Availability * Version 3.1.0 * New **Proposed** functions: * pgr_dijkstra(combinations) * Version 3.0.0 * **Official** functions * Version 2.2.0 * New **proposed** functions: * pgr_dijkstra(One to Many) * pgr_dijkstra(Many to One) * pgr_dijkstra(Many to Many) * Version 2.1.0 * Signature change on pgr_dijkstra(One to One) * Version 2.0.0 * **Official** pgr_dijkstra(One to One) Description ------------------------------------------------------------------------------- Dijkstra's algorithm, conceived by Dutch computer scientist Edsger Dijkstra in 1956. It is a graph search algorithm that solves the shortest path problem for a graph with non-negative edge path costs, producing a shortest path from a starting vertex (``start_vid``) to an ending vertex (``end_vid``). This implementation can be used with a directed graph and an undirected graph. The main characteristics are: - Process is done only on edges with positive costs. - Values are returned when there is a path. - When the starting vertex and ending vertex are the same, there is no path. - The `agg_cost` the non included values `(v, v)` is `0` - When the starting vertex and ending vertex are the different and there is no path: - The `agg_cost` the non included values `(u, v)` is :math:`\infty` - For optimization purposes, any duplicated value in the `start_vids` or `end_vids` are ignored. - The returned values are ordered: - `start_vid` ascending - `end_vid` ascending - Running time: :math:`O(| start\_vids | * (V \log V + E))` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_dijkstra(Edges SQL, start_vid, end_vid [, directed]) pgr_dijkstra(Edges SQL, start_vid, end_vids [, directed]) pgr_dijkstra(Edges SQL, start_vids, end_vid [, directed]) pgr_dijkstra(Edges SQL, start_vids, end_vids [, directed]) pgr_dijkstra(Edges SQL, Combinations SQL [, directed]) RETURNS SET OF (seq, path_seq [, start_vid] [, end_vid], node, edge, cost, agg_cost) OR EMPTY SET .. rubric:: Using defaults .. code-block:: none pgr_dijkstra(Edges SQL, start_vid, end_vid) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) or EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` on a **directed** graph .. literalinclude:: doc-pgr_dijkstra.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: dijkstra(One to One) One to One ............................................................................... .. code-block:: none pgr_dijkstra(Edges SQL, start_vid, end_vid [, directed]) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` on an **undirected** graph .. literalinclude:: doc-pgr_dijkstra.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: dijkstra(One to Many) One to many ............................................................................... .. code-block:: none pgr_dijkstra(Edges SQL, start_vid, end_vids, [, directed]) RETURNS SET OF (seq, path_seq, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertices :math:`\{3, 5\}` on an **undirected** graph .. literalinclude:: doc-pgr_dijkstra.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: dijkstra(Many to One) Many to One ............................................................................... .. code-block:: none pgr_dijkstra(Edges SQL, start_vids, end_vid, [, directed]) RETURNS SET OF (seq, path_seq, start_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{2, 11\}` to vertex :math:`5` on a **directed** graph .. literalinclude:: doc-pgr_dijkstra.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: dijkstra(Many to Many) Many to Many ............................................................................... .. code-block:: none pgr_dijkstra(Edges SQL, start_vids, end_vids, [, directed]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{2, 11\}` to vertices :math:`\{3, 5\}` on an **undirected** graph .. literalinclude:: doc-pgr_dijkstra.queries :start-after: -- q5 :end-before: -- q6 .. index:: single: dijkstra(Combinations) - Proposed on v3.1 Combinations ............................................................................... .. code-block:: none pgr_dijkstra(Edges SQL, Combinations SQL, end_vids, [, directed]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: Using a combinations table on an **undirected** graph .. literalinclude:: doc-pgr_dijkstra.queries :start-after: -- q19 :end-before: -- q20 Parameters ------------------------------------------------------------------------------- .. pgr_dijkstra_parameters_start ====================== ================== ======== ================================================= Parameter Type Default Description ====================== ================== ======== ================================================= **Edges SQL** ``TEXT`` `Edges query`_ as described below **Combinations SQL** ``TEXT`` `Combinations query`_ as described below **start_vid** ``BIGINT`` Identifier of the starting vertex of the path. **start_vids** ``ARRAY[BIGINT]`` Array of identifiers of starting vertices. **end_vid** ``BIGINT`` Identifier of the ending vertex of the path. **end_vids** ``ARRAY[BIGINT]`` Array of identifiers of ending vertices. **directed** ``BOOLEAN`` ``true`` - When ``true`` Graph is considered `Directed` - When ``false`` the graph is considered as `Undirected`. ====================== ================== ======== ================================================= .. pgr_dijkstra_parameters_end Inner queries ------------------------------------------------------------------------------- Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end Return Columns ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_path_start :end-before: return_path_end Additional Examples ------------------------------------------------------------------------------- The examples of this section are based on the :doc:`sampledata` network. The examples include combinations from starting vertices 2 and 11 to ending vertices 3 and 5 in a directed and undirected graph with and with out reverse_cost. :Examples: For queries marked as ``directed`` with ``cost`` and ``reverse_cost`` columns The examples in this section use the following :ref:`fig1` .. literalinclude:: doc-pgr_dijkstra.queries :start-after: -- q7 :end-before: -- q8 :Examples: For queries marked as ``undirected`` with ``cost`` and ``reverse_cost`` columns The examples in this section use the following :ref:`fig2` .. literalinclude:: doc-pgr_dijkstra.queries :start-after: -- q9 :end-before: -- q10 :Examples: For queries marked as ``directed`` with ``cost`` column The examples in this section use the following :ref:`fig3` .. literalinclude:: doc-pgr_dijkstra.queries :start-after: -- q11 :end-before: -- q12 :Examples: For queries marked as ``undirected`` with ``cost`` column The examples in this section use the following :ref:`fig4` .. literalinclude:: doc-pgr_dijkstra.queries :start-after: -- q13 :end-before: -- q14 Equvalences between signatures ............................................................................... :Examples: For queries marked as ``directed`` with ``cost`` and ``reverse_cost`` columns The examples in this section use the following: * :ref:`fig1` .. literalinclude:: doc-pgr_dijkstra.queries :start-after: -- q15 :end-before: -- q16 :Examples: For queries marked as ``undirected`` with ``cost`` and ``reverse_cost`` columns The examples in this section use the following: * :ref:`fig2` .. literalinclude:: doc-pgr_dijkstra.queries :start-after: -- q17 :end-before: -- q18 See Also ------------------------------------------------------------------------------- * https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/dijkstra/pgr_dijkstraCost.rst000066400000000000000000000177231414350551100221720ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** current(`3.1 `__) `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.3 `__ pgr_dijkstraCost =============================================================================== ``pgr_dijkstraCost`` Using Dijkstra algorithm implemented by Boost.Graph, and extract only the aggregate cost of the shortest path(s) found, for the combination of vertices given. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/dijkstra_shortest_paths.html Boost Graph Inside .. rubric:: Availability * Version 3.1.0 * New **Proposed** functions: * pgr_dijkstraCost(combinations) * Version 2.2.0 * New **Official** function Description ------------------------------------------------------------------------------- The ``pgr_dijkstraCost`` algorithm, is a good choice to calculate the sum of the costs of the shortest path for a subset of pairs of nodes of the graph. We make use of the Boost's implementation of dijkstra which runs in :math:`O(V \log V + E)` time. The main characteristics are: - It does not return a path. - Returns the sum of the costs of the shortest path for pair combination of nodes in the graph. - Process is done only on edges with positive costs. - Values are returned when there is a path. - The returned values are in the form of a set of `(start_vid, end_vid, agg_cost)`. - When the starting vertex and ending vertex are the same, there is no path. - The `agg_cost` int the non included values `(v, v)` is `0` - When the starting vertex and ending vertex are the different and there is no path. - The `agg_cost` in the non included values `(u, v)` is :math:`\infty` - Let be the case the values returned are stored in a table, so the unique index would be the pair: `(start_vid, end_vid)`. - For undirected graphs, the results are symmetric. - The `agg_cost` of `(u, v)` is the same as for `(v, u)`. - Any duplicated value in the `start_vids` or `end_vids` is ignored. - The returned values are ordered: - `start_vid` ascending - `end_vid` ascending - Running time: :math:`O(| start\_vids | * (V \log V + E))` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_dijkstraCost(edges_sql, from_vid, to_vid [, directed]) pgr_dijkstraCost(edges_sql, from_vid, to_vids [, directed]) pgr_dijkstraCost(edges_sql, from_vids, to_vid [, directed]) pgr_dijkstraCost(edges_sql, from_vids, to_vids [, directed]) pgr_dijkstraCost(edges_sql, combinations_sql [, directed]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET .. rubric:: Using defaults .. code-block:: none pgr_dijkstraCost(edges_sql, from_vid, to_vid) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` on a **directed** graph .. literalinclude:: doc-pgr_dijkstraCost.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: dijkstraCost(One to One) One to One ............................................................................... .. code-block:: none pgr_dijkstraCost(edges_sql, from_vid, to_vid [, directed]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` on an **undirected** graph .. literalinclude:: doc-pgr_dijkstraCost.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: dijkstraCost(One to Many) One to Many ............................................................................... .. code-block:: none pgr_dijkstraCost(edges_sql, from_vid, to_vids [, directed]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertices :math:`\{3, 11\}` on a **directed** graph .. literalinclude:: doc-pgr_dijkstraCost.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: dijkstraCost(Many to One) Many to One ............................................................................... .. code-block:: none pgr_dijkstraCost(edges_sql, from_vids, to_vid [, directed]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{2, 7\}` to vertex :math:`3` on a **directed** graph .. literalinclude:: doc-pgr_dijkstraCost.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: dijkstraCost(Many to Many) Many to Many ............................................................................... .. code-block:: none pgr_dijkstraCost(edges_sql, from_vids, to_vids [, directed]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{2, 7\}` to vertices :math:`\{3, 11\}` on a **directed** graph .. literalinclude:: doc-pgr_dijkstraCost.queries :start-after: -- q5 :end-before: -- q6 .. index:: single: dijkstraCost(Combinations) - Proposed on v3.1 Combinations ............................................................................... .. code-block:: none pgr_dijkstraCost(TEXT edges_sql, TEXT combination_sql, BOOLEAN directed:=true); RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: Using a combinations table on an **undirected** graph .. literalinclude:: doc-pgr_dijkstraCost.queries :start-after: -- q8 :end-before: -- q9 Parameters ------------------------------------------------------------------------------- .. include:: pgr_dijkstra.rst :start-after: pgr_dijkstra_parameters_start :end-before: pgr_dijkstra_parameters_end Inner query ------------------------------------------------------------------------------- Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end Return Columns ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_cost_start :end-before: return_cost_end Additional Examples ------------------------------------------------------------------------------- :Example 1: Demonstration of repeated values are ignored, and result is sorted. .. literalinclude:: doc-pgr_dijkstraCost.queries :start-after: -- q6 :end-before: -- q7 :Example 2: Making `start_vids` the same as `end_vids` .. literalinclude:: doc-pgr_dijkstraCost.queries :start-after: -- q7 :end-before: -- q8 :Example 3: Four manually assigned (source, target) vertex combinations .. literalinclude:: doc-pgr_dijkstraCost.queries :start-after: -- q9 :end-before: -- q10 See Also ------------------------------------------------------------------------------- * https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm * :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/dijkstra/pgr_dijkstraCostMatrix.rst000066400000000000000000000106301414350551100233450ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__) `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ pgr_dijkstraCostMatrix =============================================================================== ``pgr_dijkstraCostMatrix`` - Calculates the a cost matrix using pgr_dijktras. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability * Version 3.0.0 * **Official** function * Version 2.3.0 * New **proposed** function Description ------------------------------------------------------------------------------- Using Dijkstra algorithm, calculate and return a cost matrix. Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. index:: single: dijkstraCostMatrix .. code-block:: none pgr_dijkstraCostMatrix(edges_sql, start_vids [, directed]) RETURNS SET OF (start_vid, end_vid, agg_cost) .. rubric:: Using defaults .. code-block:: none pgr_dijkstraCostMatrix(edges_sql, start_vid) RETURNS SET OF (start_vid, end_vid, agg_cost) :Example: Cost matrix for vertices :math:`\{1, 2, 3, 4\}` on a **directed** graph .. literalinclude:: doc-pgr_dijkstraCostMatrix.queries :start-after: -- dijkstra q1 :end-before: -- dijkstra q2 Complete Signature ............................................................................... .. code-block:: none pgr_dijkstraCostMatrix(edges_sql, start_vids [, directed]) RETURNS SET OF (start_vid, end_vid, agg_cost) :Example: Symmetric cost matrix for vertices :math:`\{1, 2, 3, 4\}` on an **undirected** graph .. literalinclude:: doc-pgr_dijkstraCostMatrix.queries :start-after: -- dijkstra q2 :end-before: -- dijkstra q3 Parameters ------------------------------------------------------------------------------- ================ ====================== ================================================= Parameter Type Description ================ ====================== ================================================= **edges_sql** ``TEXT`` Edges SQL query as described above. **start_vids** ``ARRAY[ANY-INTEGER]`` Array of identifiers of the vertices. **directed** ``BOOLEAN`` (optional). When ``false`` the graph is considered as Undirected. Default is ``true`` which considers the graph as Directed. ================ ====================== ================================================= Inner query ------------------------------------------------------------------------------- .. rubric::edges_sql .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Return Columns ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_cost_start :end-before: return_cost_end Additional Examples ------------------------------------------------------------------------------- :Example: Use with tsp .. literalinclude:: doc-pgr_dijkstraCostMatrix.queries :start-after: -- dijkstra q3 :end-before: -- dijkstra q4 See Also ------------------------------------------------------------------------------- * :doc:`dijkstra-family` * :doc:`costMatrix-category` * :doc:`TSP-family` * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/dijkstra/pgr_dijkstraNear.rst000066400000000000000000000260111414350551100221350ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ pgr_dijkstraNear - Proposed =============================================================================== ``pgr_dijkstraNear`` — Using dijkstra algorithm, finds the route that leads to the nearest vertex. .. include:: proposed.rst :start-after: stable-begin-warning :end-before: stable-end-warning .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability * Version 3.3.0 * Promoted to **proposed** function * Version 3.2.0 * New **experimental** function Description ------------------------------------------------------------------------------- Given a graph, a starting vertex and a set of ending vertices, this function finds the shortest path from the starting vertex to the nearest ending vertex. Characteristics ............................................................................... .. dijkstraNear characteristics start * Uses Dijkstra algorithm. * Works for **directed** and **undirected** graphs. * When there are more than one path to the same vertex with same cost: * The algorithm will return just one path * Optionally allows to find more than one path. * When more than one path is to be returned: * Results are sorted in increasing order of: * aggregate cost * Within the same value of aggregate costs: * results are sorted by (source, target) * Running time: Dijkstra running time: :math:`drt = O((|E| + |V|)log|V|)` * One to Many; :math:`drt` * Many to One: :math:`drt` * Many to Many: :math:`drt * |Starting vids|` * Combinations: :math:`drt * |Starting vids|` .. dijkstraNear characteristics end Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_dijkstraNear(Edges SQL, Start vid, End vids [, directed] [, cap]) pgr_dijkstraNear(Edges SQL, Start vids, End vid [, directed] [, cap]) pgr_dijkstraNear(Edges SQL, Start vids, End vids [, directed] [, cap], [global]) pgr_dijkstraNear(Edges SQL, Combinations SQL [, directed] [, cap], [global]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET .. index:: single: dijkstraNear(One to Many) - Proposed on v3.3 One to Many ............................................................................... .. code-block:: none pgr_dijkstraNear(Edges SQL, Start vid, End vids [, directed] [, cap]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: Departing on car from vertex :math:`2` find the nearest subway station. * Using a **directed** graph for car routing. * The subway stations are on the following vertices :math:`\{ 3, 6, 7\}` * The defaults used: * `directed => true` * `cap => 1` .. literalinclude:: doc-pgr_dijkstraNear.queries :start-after: -- q1 :end-before: -- q2 :linenos: The result shows that station at vertex :math:`6` is the nearest. .. index:: single: dijkstraNear(Many to One) - Proposed on v3.3 Many to One ............................................................................... .. code-block:: none pgr_dijkstraNear(Edges SQL, Start vids, End vid [, directed] [, cap]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: Departing on a car from a subway station find the nearest **two** stations to vertex :math:`2` * Using a **directed** graph for car routing. * The subway stations are on the following vertices :math:`\{ 3, 6, 7\}` * On line `4`: using the positional parameter: `directed` set to ``true`` * In line `5`: using named parameter `cap => 2` .. literalinclude:: doc-pgr_dijkstraNear.queries :start-after: -- q2 :end-before: -- q3 :linenos: The result shows that station at vertex :math:`3` is the nearest and the next best is :math:`6`. .. index:: single: dijkstraNear(Many to Many) - Proposed on v3.3 Many to Many ............................................................................... .. code-block:: none pgr_dijkstraNear(Edges SQL, Start vids, End vids [, directed] [, cap], [global]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: Find the best pedestrian connection between two lines of buses * Unsing an **undirected** graph for pedestrian routing * The first subway line stations stops are at :math:`\{3, 6, 7\}` * The second subway line stations are at :math:`\{4, 9\}` * On line `4`: using the named parameter: `directed => false` * The defaults used: * `cap => 1` * `global => true` .. literalinclude:: doc-pgr_dijkstraNear.queries :start-after: -- q3 :end-before: -- q4 :linenos: For a pedestrian the best connection is to get on/off is at vertex :math:`3` of the first subway line and at vertex :math:`4` of the second subway line. Only `one` route is returned because `global` is ``true`` and `cap` is ``1`` .. index:: single: dijkstraNear(Combinations) - Proposed on v3.3 Combinations ............................................................................... .. code-block:: none pgr_dijkstraNear(Edges SQL, Combinations SQL [, directed] [, cap], [global]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: Find the best car connection between all the stations of two subway lines * Using a **directed** graph for car routing. * The first subway line stations stops are at :math:`\{3, 6, 7\}` * The second subway line stations are at :math:`\{4, 9\}` * line `3` sets the start vertices to be from the fisrt subway line and the ending vertices to be from the second subway line * line `5` sets the start vertices to be from the first subway line and the ending vertices to be from the first subway line * On line `6`: using the named parameter is `global => false` * The defaults used: * `directed => true` * `cap => 1` .. literalinclude:: doc-pgr_dijkstraNear.queries :start-after: -- q4 :end-before: -- q5 :linenos: From the results: * making a connection from the first subway line to the second: * :math:`{(3 -> 9) (6 -> 9) (7 -> 9)}` and the best one is :math:`(6 -> 9)` with a cost of :math:`1` (lines: `12` and `13`) * making a connection from the second subway line to the first: * :math:`{(4 -> 3) (9 -> 6)}` and both are equaly good as they have the same cost. (lines: `10` and `11` and lines: `14` and `15`) Parameters ------------------------------------------------------------------------------- ====================== ================== ======== ================================================= Parameter Type Default Description ====================== ================== ======== ================================================= **Edges SQL** ``TEXT`` `Edges query`_ as described below **Combinations SQL** ``TEXT`` `Combinations query` as described below **Start vid** ``BIGINT`` Identifier of the starting vertex of the path. **Start vids** ``ARRAY[BIGINT]`` Array of identifiers of starting vertices. **End vid** ``BIGINT`` Identifier of the ending vertex of the path. **End vids** ``ARRAY[BIGINT]`` Array of identifiers of ending vertices. **directed** ``BOOLEAN`` ``true`` - When ``true`` the graph is considered `Directed` - When ``false`` the graph is considered as `Undirected`. **cap** ``BIGINT`` 1 Find at most ``cap`` number of nearest shortest paths **global** ``BOOLEAN`` ``true`` - When ``true``: only ``cap`` limit results will be returned - When ``false``: ``cap`` limit per ``Start vid`` will be returned ====================== ================== ======== ================================================= Inner query ------------------------------------------------------------------------------- Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end Return Columns ------------------------------------------------------------------------------- RETURNS SET OF ``(seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost)`` OR EMPTY SET ================== ============= ================================================= Column Type Description ================== ============= ================================================= **seq** ``BIGINT`` Sequential value starting from 1. **path_seq** ``BIGINT`` Sequential value starting from 1 for each :math:`(start\_vid \to end\_vid)` path. **start_vid** ``BIGINT`` Identifier of the starting vertex of the path. **end_vid** ``BIGINT`` Identifier of the ending vertex of the path. **node** ``BIGINT`` Identifier of the node at position ``path_seq`` in the :math:`(start\_vid \to end\_vid)` path. **edge** ``BIGINT`` Identifier of the edge used to go from node at ``path_seq`` to the node at ``path_seq + 1`` in the :math:`(start\_vid \to end\_vid)` path. * :math:`-1` for the last node of the path. **cost** ``FLOAT`` Cost to traverse from ``node`` using ``edge`` to the next node in the route sequence. * :math:`0` for the last row of the path. **agg_cost** ``FLOAT`` Total cost of traversing :math:`(start\_vid \to node)` section of the :math:`(start\_vid \to end\_vid)` path. ================== ============= ================================================= See Also ------------------------------------------------------------------------------- * :doc:`dijkstra-family` * :doc:`pgr_dijkstraNearCost` * :doc:`sampledata` network. * boost: https://www.boost.org/libs/graph/doc/table_of_contents.html * Wikipedia: https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/dijkstra/pgr_dijkstraNearCost.rst000066400000000000000000000216641414350551100227770ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ pgr_dijkstraNearCost - Proposed =============================================================================== ``pgr_dijkstraNearCost`` — Using dijkstra algorithm, finds the route that leads to the nearest vertex. .. include:: proposed.rst :start-after: stable-begin-warning :end-before: stable-end-warning .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability * Version 3.3.0 * Promoted to **proposed** function * Version 3.2.0 * New **experimental** function Description ------------------------------------------------------------------------------- Given a graph, a starting vertex and a set of ending vertices, this function finds the shortest path from the starting vertex to the nearest ending vertex. Characteristics ............................................................................... .. include:: pgr_dijkstraNear.rst :start-after: dijkstraNear characteristics start :end-before: dijkstraNear characteristics end Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_dijkstraNearCost(Edges SQL, Start vid, End vids [, directed] [, cap]) pgr_dijkstraNearCost(Edges SQL, Start vids, End vid [, directed] [, cap]) pgr_dijkstraNearCost(Edges SQL, Start vids, End vids [, directed] [, cap], [global]) pgr_dijkstraNearCost(Edges SQL, Combinations SQL [, directed] [, cap], [global]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET .. index:: single: dijkstraNearCost(One to Many) - Proposed on v3.3 One to Many ............................................................................... .. code-block:: none pgr_dijkstraNearCost(Edges SQL, Start vid, End vids [, directed] [, cap]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: Departing on car from vertex :math:`2` find the nearest subway station. * Using a **directed** graph for car routing. * The subway stations are on the following vertices :math:`\{ 3, 6, 7\}` * The defaults used: * `directed => true` * `cap => 1` .. literalinclude:: doc-pgr_dijkstraNearCost.queries :start-after: -- q1 :end-before: -- q2 :linenos: The result shows that station at vertex :math:`6` is the nearest. .. index:: single: dijkstraNearCost(Many to One) - Proposed on v3.3 Many to One ............................................................................... .. code-block:: none pgr_dijkstraNearCost(Edges SQL, Start vids, End vid [, directed] [, cap]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: Departing on a car from a subway station find the nearest **two** stations to vertex :math:`2` * Using a **directed** graph for car routing. * The subway stations are on the following vertices :math:`\{ 3, 6, 7\}` * On line `4`: using the positional parameter: `directed` set to ``true`` * In line `5`: using named parameter `cap => 2` .. literalinclude:: doc-pgr_dijkstraNearCost.queries :start-after: -- q2 :end-before: -- q3 :linenos: The result shows that station at vertex :math:`3` is the nearest and the next best is :math:`6`. .. index:: single: dijkstraNearCost(Many to Many) - Proposed on v3.3 Many to Many ............................................................................... .. code-block:: none pgr_dijkstraNearCost(Edges SQL, Start vids, End vids [, directed] [, cap], [global]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: Find the best pedestrian connection between two lines of buses * Unsing an **undirected** graph for pedestrian routing * The first subway line stations stops are at :math:`\{3, 6, 7\}` * The second subway line stations are at :math:`\{4, 9\}` * On line `4`: using the named parameter: `directed => false` * The defaults used: * `cap => 1` * `global => true` .. literalinclude:: doc-pgr_dijkstraNearCost.queries :start-after: -- q3 :end-before: -- q4 :linenos: For a pedestrian the best connection is to get on/off is at vertex :math:`3` of the first subway line and at vertex :math:`4` of the second subway line. Only `one` route is returned because `global` is ``true`` and `cap` is ``1`` .. index:: single: dijkstraNearCost(Combinations) - Proposed on v3.3 Combinations ............................................................................... .. code-block:: none pgr_dijkstraNearCost(Edges SQL, Combinations SQL [, directed] [, cap], [global]) RETURNS SET OF (start_vid, end_vid, agg_cost) OR EMPTY SET :Example: Find the best car connection between all the stations of two subway lines * Using a **directed** graph for car routing. * The first subway line stations stops are at :math:`\{3, 6, 7\}` * The second subway line stations are at :math:`\{4, 9\}` * line `3` sets the start vertices to be from the fisrt subway line and the ending vertices to be from the second subway line * line `5` sets the start vertices to be from the first subway line and the ending vertices to be from the first subway line * On line `6`: using the named parameter is `global => false` * The defaults used: * `directed => true` * `cap => 1` .. literalinclude:: doc-pgr_dijkstraNearCost.queries :start-after: -- q4 :end-before: -- q5 :linenos: From the results: * making a connection from the first subway line to the second: * :math:`{(3 -> 9) (6 -> 9) (7 -> 9)}` and the best one is :math:`(6 -> 9)` with a cost of :math:`1` (line: `11`) * making a connection from the second subway line to the first: * :math:`{(4 -> 3) (9 -> 6)}` and both are equaly good as they have the same cost. (lines: `10` and `12`) Parameters ------------------------------------------------------------------------------- ====================== ================== ======== ================================================= Parameter Type Default Description ====================== ================== ======== ================================================= **Edges SQL** ``TEXT`` `Edges query`_ as described below **Combinations SQL** ``TEXT`` `Combinations query` as described below **Start vid** ``BIGINT`` Identifier of the starting vertex of the path. **Start vids** ``ARRAY[BIGINT]`` Array of identifiers of starting vertices. **End vid** ``BIGINT`` Identifier of the ending vertex of the path. **End vids** ``ARRAY[BIGINT]`` Array of identifiers of ending vertices. **directed** ``BOOLEAN`` ``true`` - When ``true`` the graph is considered `Directed` - When ``false`` the graph is considered as `Undirected`. **cap** ``BIGINT`` 1 Find at most ``cap`` number of nearest shortest paths **global** ``BOOLEAN`` ``true`` - When ``true``: only ``cap`` limit results will be returned - When ``false``: ``cap`` limit per ``Start vid`` will be returned ====================== ================== ======== ================================================= Inner query ------------------------------------------------------------------------------- Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end Return Columns ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_cost_start :end-before: return_cost_end See Also ------------------------------------------------------------------------------- * :doc:`dijkstra-family` * :doc:`pgr_dijkstraNear` * :doc:`sampledata` network. * boost: https://www.boost.org/libs/graph/doc/table_of_contents.html * Wikipedia: https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/dijkstra/pgr_dijkstraVia.rst000066400000000000000000000146501414350551100217750ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ pgr_dijkstraVia - Proposed =============================================================================== ``pgr_dijkstraVia`` — Using dijkstra algorithm, it finds the route that goes through a list of vertices. .. include:: proposed.rst :start-after: stable-begin-warning :end-before: stable-end-warning .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability * Version 2.2.0 * New **proposed** function Description ------------------------------------------------------------------------------- Given a list of vertices and a graph, this function is equivalent to finding the shortest path between :math:`vertex_i` and :math:`vertex_{i+1}` for all :math:`i < size\_of(vertex_via)`. The paths represents the sections of the route. Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. index:: single: dijkstraVia - Proposed .. code-block:: none pgr_dijkstraVia(edges_sql, via_vertices [, directed] [, strict] [, U_turn_on_edge]) RETURNS SET OF (seq, path_pid, path_seq, start_vid, end_vid, node, edge, cost, agg_cost, route_agg_cost) OR EMPTY SET .. rubric:: Using default .. code-block:: none pgr_dijkstraVia(edges_sql, via_vertices) RETURNS SET OF (seq, path_pid, path_seq, start_vid, end_vid, node, edge, cost, agg_cost, route_agg_cost) OR EMPTY SET :Example: Find the route that visits the vertices :math:`\{ 1, 3, 9\}` in that order .. literalinclude:: doc-pgr_dijkstraVia.queries :start-after: -- q00 :end-before: -- q0 Complete Signature ............................................................................... .. code-block:: none pgr_dijkstraVia(edges_sql, via_vertices [, directed] [, strict] [, U_turn_on_edge]) RETURNS SET OF (seq, path_pid, path_seq, start_vid, end_vid, node, edge, cost, agg_cost, route_agg_cost) OR EMPTY SET :Example: Find the route that visits the vertices :math:`\{ 1, 3, 9\}` in that order on an **undirected** graph, avoiding U-turns when possible .. literalinclude:: doc-pgr_dijkstraVia.queries :start-after: -- q0 :end-before: -- q1 .. include:: pgRouting-concepts.rst :start-after: pgr_dijkstra_via_parameters_start :end-before: pgr_dijkstra_via_parameters_end Inner query ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Return Columns ------------------------------------------------------------------------------- Returns set of ``(start_vid, end_vid, agg_cost)`` ================== ============= ================================================= Column Type Description ================== ============= ================================================= **seq** ``BIGINT`` Sequential value starting from 1. **path_pid** ``BIGINT`` Identifier of the path. **path_seq** ``BIGINT`` Sequential value starting from 1 for the path. **start_vid** ``BIGINT`` Identifier of the starting vertex of the path. **end_vid** ``BIGINT`` Identifier of the ending vertex of the path. **node** ``BIGINT`` Identifier of the node in the path from start_vid to end_vid. **edge** ``BIGINT`` Identifier of the edge used to go from node to the next node in the path sequence. -1 for the last node of the path. -2 for the last node of the route. **cost** ``FLOAT`` Cost to traverse from ``node`` using ``edge`` to the next node in the route sequence. **agg_cost** ``FLOAT`` Total cost from ``start_vid`` to ``end_vid`` of the path. **route_agg_cost** ``FLOAT`` Total cost from ``start_vid`` of ``path_pid = 1`` to ``end_vid`` of the current ``path_pid`` . ================== ============= ================================================= Additional Examples ------------------------------------------------------------------------------- :Example 1: Find the route that visits the vertices :math:`\{1, 5, 3, 9, 4\}` in that order .. literalinclude:: doc-pgr_dijkstraVia.queries :start-after: -- q1 :end-before: -- q2 :Example 2: What's the aggregate cost of the third path? .. literalinclude:: doc-pgr_dijkstraVia.queries :start-after: -- q2 :end-before: -- q3 :Example 3: What's the route's aggregate cost of the route at the end of the third path? .. literalinclude:: doc-pgr_dijkstraVia.queries :start-after: -- q3 :end-before: -- q4 :Example 4: How are the nodes visited in the route? .. literalinclude:: doc-pgr_dijkstraVia.queries :start-after: -- q4 :end-before: -- q5 :Example 5: What are the aggregate costs of the route when the visited vertices are reached? .. literalinclude:: doc-pgr_dijkstraVia.queries :start-after: -- q5 :end-before: -- q6 :Example 6: Show the route's seq and aggregate cost and a status of "passes in front" or "visits" node :math:`9` .. literalinclude:: doc-pgr_dijkstraVia.queries :start-after: -- q6 See Also ------------------------------------------------------------------------------- * https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm * :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/dominator/000077500000000000000000000000001414350551100162735ustar00rootroot00000000000000pgrouting-3.3.0/doc/dominator/CMakeLists.txt000066400000000000000000000004751414350551100210410ustar00rootroot00000000000000 SET(LOCAL_FILES pgr_lengauerTarjanDominatorTree.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/dominator/pgr_lengauerTarjanDominatorTree.rst000066400000000000000000000104421414350551100253350ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: http://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ pgr_lengauerTarjanDominatorTree -Experimental =============================================================================== ``pgr_lengauerTarjanDominatorTree`` — Returns the immediate dominator of all vertices. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/lengauer_tarjan_dominator.htm Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.2.0 * New **experimental** function Description ------------------------------------------------------------------------------- The algorithm calculates the *immidiate dominator* of each vertex called **idom**, once **idom** of each vertex is calculated then by making every **idom** of each vertex as its parent, the dominator tree can be built. **The main Characteristics are:** - The algorithm works in directed graph only. - The returned values are not ordered. - The algorithm returns *idom* of each vertex. - If the *root vertex* not present in the graph then it returns empty set. - Running time: :math:`O((V+E)log(V+E))` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: sql pgr_lengauerTarjanDominatorTree(Edges SQL, root vertex) RETURNS SET OF (seq, vertex_id, idom) OR EMPTY SET .. index:: single: lengauerTarjanDominatorTree - Experimental on v3.2 :Example: The lengauerTarjanDominatorTree with root vertex :math:`1` .. literalinclude:: doc-lengauerTarjanDominatorTree.queries :start-after: --q1 :end-before: --q2 Parameters ------------------------------------------------------------------------------- =============== ============ ================================================= Column Type Description =============== ============ ================================================= **Edges SQL** ``TEXT`` SQL query as described above. **root vertex** ``BIGINT`` Identifier of the starting vertex. =============== ============ ================================================= Inner query ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- Returns set of ``(seq, vertex_id,idom)`` ============== =========== ================================================= Column Type Description ============== =========== ================================================= **seq** ``INTEGER`` Sequential value starting from **1**. **vertex_id** ``BIGINT`` Identifier of vertex . **idom** ``BIGINT`` Immediate dominator of vertex. ============== =========== ================================================= Additional Examples ------------------------------------------------------------------------------------------ The examples in this section use the following :ref:`fig1` :Example: When the edge is disonnectd from graph then it will returns immidiate dominator of all other vertex as zero. .. literalinclude:: doc-lengauerTarjanDominatorTree.queries :start-after: --q2 :end-before: --q3 See Also ------------------------------------------------------------------------------- * `Boost: lengauerTarjanDominatorTree algorithm documentation `__ * `Wikipedia: dominator tree `__ * :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/driving_distance/000077500000000000000000000000001414350551100176135ustar00rootroot00000000000000pgrouting-3.3.0/doc/driving_distance/CMakeLists.txt000066400000000000000000000005221414350551100223520ustar00rootroot00000000000000 SET(LOCAL_FILES drivingDistance-category.rst pgr_drivingDistance.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/driving_distance/drivingDistance-category.rst000066400000000000000000000036221414350551100253000ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__) `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ Driving Distance - Category =============================================================================== .. index from here * :doc:`pgr_drivingDistance` - Driving Distance based on Dijkstra's algorithm * :doc:`pgr_primDD` - Driving Distance based on Prim's algorithm * :doc:`pgr_kruskalDD` - Driving Distance based on Kruskal's algorithm * Post pocessing * :doc:`pgr_alphaShape` - Alpha shape computation .. index to here .. rubric:: Proposed .. include:: proposed.rst :start-after: stable-begin-warning :end-before: stable-end-warning .. index proposed from here * :doc:`pgr_withPointsDD` - Driving Distance based on pgr_withPoints .. index proposed to here .. toctree:: :hidden: pgr_alphaShape.rst See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/driving_distance/pgr_drivingDistance.rst000066400000000000000000000154521414350551100243410ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__) `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ pgr_drivingDistance =============================================================================== ``pgr_drivingDistance`` - Returns the driving distance from a start node. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability * Version 2.1.0: * Signature change pgr_drivingDistance(single vertex) * New **Official** pgr_drivingDistance(multiple vertices) * Version 2.0.0: * **Official** pgr_drivingDistance(single vertex) Description ------------------------------------------------------------------------------- Using the Dijkstra algorithm, extracts all the nodes that have costs less than or equal to the value ``distance``. The edges extracted will conform to the corresponding spanning tree. Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: sql pgr_drivingDistance(edges_sql, start_vid, distance [, directed]) pgr_drivingDistance(edges_sql, start_vids, distance [, directed] [, equicost]) RETURNS SET OF (seq, [start_vid,] node, edge, cost, agg_cost) .. rubric:: Using defaults .. code-block:: sql pgr_drivingDistance(edges_sql, start_vid, distance) RETURNS SET OF (seq, node, edge, cost, agg_cost) :Example: **TBD** .. index:: single: drivingDistance(Single Start Vertex) Single Vertex ............................................................................... .. code-block:: sql pgr_drivingDistance(edges_sql, start_vid, distance [, directed]) RETURNS SET OF (seq, node, edge, cost, agg_cost) :Example: **TBD** .. index:: single: drivingDistance(Multiple Starting Vertices) Multiple Vertices ............................................................................... .. code-block:: sql pgr_drivingDistance(edges_sql, start_vids, distance, [, directed] [, equicost]) RETURNS SET OF (seq, start_vid, node, edge, cost, agg_cost) :Example: **TBD** Parameters ------------------------------------------------------------------------------- ============== ====================== ================================================= Column Type Description ============== ====================== ================================================= **edges_sql** ``TEXT`` SQL query as described above. **start_vid** ``BIGINT`` Identifier of the starting vertex. **start_vids** ``ARRAY[ANY-INTEGER]`` Array of identifiers of the starting vertices. **distance** ``FLOAT`` Upper limit for the inclusion of the node in the result. **directed** ``BOOLEAN`` (optional). When ``false`` the graph is considered as Undirected. Default is ``true`` which considers the graph as Directed. **equicost** ``BOOLEAN`` (optional). When ``true`` the node will only appear in the closest ``start_vid`` list. Default is ``false`` which resembles several calls using the single starting point signatures. Tie brakes are arbitrary. ============== ====================== ================================================= Inner query ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- Returns set of ``(seq [, start_v], node, edge, cost, agg_cost)`` ============== =========== ================================================= Column Type Description ============== =========== ================================================= **seq** ``INTEGER`` Sequential value starting from **1**. **start_vid** ``INTEGER`` Identifier of the starting vertex. **node** ``BIGINT`` Identifier of the node in the path within the limits from ``start_vid``. **edge** ``BIGINT`` Identifier of the edge used to arrive to ``node``. ``0`` when the ``node`` is the ``start_vid``. **cost** ``FLOAT`` Cost to traverse ``edge``. **agg_cost** ``FLOAT`` Aggregate cost from ``start_vid`` to ``node``. ============== =========== ================================================= Additional Examples ------------------------------------------------------------------------------- :Example: For queries marked as ``directed`` with ``cost`` and ``reverse_cost`` columns The examples in this section use the following :ref:`fig1` .. literalinclude:: doc-pgr_drivingDistance.queries :start-after: --q1 :end-before: --q2 :Example: For queries marked as ``undirected`` with ``cost`` and ``reverse_cost`` columns The examples in this section use the following :ref:`fig2` .. literalinclude:: doc-pgr_drivingDistance.queries :start-after: --q2 :end-before: --q3 :Example: For queries marked as ``directed`` with ``cost`` column The examples in this section use the following :ref:`fig3` .. literalinclude:: doc-pgr_drivingDistance.queries :start-after: --q3 :end-before: --q4 :Example: For queries marked as ``undirected`` with ``cost`` column The examples in this section use the following :ref:`fig4` .. literalinclude:: doc-pgr_drivingDistance.queries :start-after: --q4 :end-before: --q5 See Also ------------------------------------------------------------------------------- * :doc:`pgr_alphaShape` - Alpha shape computation * :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/forward.html000066400000000000000000000011021414350551100166230ustar00rootroot00000000000000 Page Redirection If you are not redirected automatically, follow this link. pgrouting-3.3.0/doc/images/000077500000000000000000000000001414350551100155445ustar00rootroot00000000000000pgrouting-3.3.0/doc/images/CMakeLists.txt000066400000000000000000000006541414350551100203110ustar00rootroot00000000000000 SET(LOCAL_FILES boost-inside.jpeg Fig1-originalData.png Fig2-cost.png Fig4-costUndirected.png Fig6-undirected.png parallelImage.png test1.png trsp-test-image.png ) 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Ÿ-C*âNâN*âNâN*âNâN*âNâN*âNû}}ûô#{Ïõz»Ýß½2wçÓW+_l4q§åî~vòýýËÝ³Sw??UùÂ`C‰;-wëÄÜpÙÜ<¶¯ò…Á†wZîꮩåqì¼W¾0ØPâNˉ;9‰;-ç° 9‰;-çUrwÚïÞ§oÝ{mÏö+3ýO>éTH2w€w€w€w€w€w€w€w€w€w€w€w€w€w€w€w€w€w€w€w€w€w€w€w€w€ú?»N¨¥KâiIEND®B`‚pgrouting-3.3.0/doc/ksp/000077500000000000000000000000001414350551100150745ustar00rootroot00000000000000pgrouting-3.3.0/doc/ksp/CMakeLists.txt000066400000000000000000000004741414350551100176410ustar00rootroot00000000000000 SET(LOCAL_FILES KSP-category.rst pgr_KSP.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/ksp/KSP-category.rst000066400000000000000000000027021414350551100200770ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__) `3.0 `__ * **Unsupported versions:** `2.5 `__ `2.4 `__ `2.6 `__ K shortest paths - Category =============================================================================== .. index from here * :doc:`pgr_KSP` - Yen's algorithm based on pgr_dijkstra .. index to here .. rubric:: Proposed .. include:: proposed.rst :start-after: stable-begin-warning :end-before: stable-end-warning .. index proposed from here * :doc:`pgr_withPointsKSP` - Yen's algorithm based on pgr_withPoints .. index proposed to here .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/ksp/pgr_KSP.rst000066400000000000000000000145541414350551100171440ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__) `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ pgr_KSP =============================================================================== ``pgr_KSP`` — Returns the "K" shortest paths. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability * Version 2.1.0 * Signature change * Old signature no longer supported * Version 2.0.0 * **Official** function Description ------------------------------------------------------------------------------- The K shortest path routing algorithm based on Yen's algorithm. "K" is the number of shortest paths desired. Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: sql pgr_KSP(edges_sql, start_vid, end_vid, K [, directed] [, heap_paths]) RETURNS SET OF (seq, path_id, path_seq, node, edge, cost, agg_cost) or EMPTY SET .. rubric:: Using defaults .. code-block:: sql pgr_ksp(edges_sql, start_vid, end_vid, K); RETURNS SET OF (seq, path_id, path_seq, node, edge, cost, agg_cost) or EMPTY SET :Example: **TBD** .. index:: single: KSP Complete Signature ............................................................................... .. code-block:: sql pgr_KSP(edges_sql, start_vid, end_vid, K [, directed] [, heap_paths]) RETURNS SET OF (seq, path_id, path_seq, node, edge, cost, agg_cost) or EMPTY SET :Example: **TBD** Parameters ------------------------------------------------------------------------------- ============== ============ ================================================= Column Type Description ============== ============ ================================================= **edges_sql** ``TEXT`` SQL query as described above. **start_vid** ``BIGINT`` Identifier of the starting vertex. **end_vid** ``BIGINT`` Identifier of the ending vertex. **k** ``INTEGER`` The desiered number of paths. **directed** ``BOOLEAN`` (optional). When ``false`` the graph is considered as Undirected. Default is ``true`` which considers the graph as Directed. **heap_paths** ``BOOLEAN`` (optional). When ``true`` returns all the paths stored in the process heap. Default is ``false`` which only returns ``k`` paths. ============== ============ ================================================= Roughly, if the shortest path has ``N`` edges, the heap will contain about than ``N * k`` paths for small value of ``k`` and ``k > 1``. Inner query ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- Returns set of ``(seq, path_seq, path_id, node, edge, cost, agg_cost)`` ============== =========== ================================================= Column Type Description ============== =========== ================================================= **seq** ``INTEGER`` Sequential value starting from **1**. **path_seq** ``INTEGER`` Relative position in the path of ``node`` and ``edge``. Has value **1** for the beginning of a path. **path_id** ``BIGINT`` Path identifier. The ordering of the paths For two paths i, j if i < j then agg_cost(i) <= agg_cost(j). **node** ``BIGINT`` Identifier of the node in the path. **edge** ``BIGINT`` Identifier of the edge used to go from ``node`` to the next node in the path sequence. ``-1`` for the last node of the route. **cost** ``FLOAT`` Cost to traverse from ``node`` using ``edge`` to the next node in the path sequence. **agg_cost** ``FLOAT`` Aggregate cost from ``start_vid`` to ``node``. ============== =========== ================================================= Additional Examples ------------------------------------------------------------------------------------------ :Example: To handle the one flag to choose signatures The examples in this section use the following :ref:`fig1` .. literalinclude:: doc-ksp.queries :start-after: --q1 :end-before: --q2 :Example: For queries marked as ``directed`` with ``cost`` and ``reverse_cost`` columns The examples in this section use the following :ref:`fig1` .. literalinclude:: doc-ksp.queries :start-after: --q2 :end-before: --q3 :Examples: For queries marked as ``undirected`` with ``cost`` and ``reverse_cost`` columns The examples in this section use the following :ref:`fig2` .. literalinclude:: doc-ksp.queries :start-after: --q3 :end-before: --q4 :Example: For queries marked as ``directed`` with ``cost`` column The examples in this section use the following :ref:`fig3` .. literalinclude:: doc-ksp.queries :start-after: --q4 :end-before: --q5 :Example: For queries marked as ``undirected`` with ``cost`` column The examples in this section use the following :ref:`fig4` .. literalinclude:: doc-ksp.queries :start-after: --q5 :end-before: --q6 See Also ------------------------------------------------------------------------------- * https://en.wikipedia.org/wiki/K_shortest_path_routing * :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/lineGraph/000077500000000000000000000000001414350551100162105ustar00rootroot00000000000000pgrouting-3.3.0/doc/lineGraph/CMakeLists.txt000066400000000000000000000006711414350551100207540ustar00rootroot00000000000000 SET(LOCAL_FILES transformation-family.rst pgr_lineGraphFull.rst pgr_lineGraph.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() add_subdirectory("images") set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) set(PROJECT_IMG_FILES ${PROJECT_IMG_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/lineGraph/images/000077500000000000000000000000001414350551100174555ustar00rootroot00000000000000pgrouting-3.3.0/doc/lineGraph/images/CMakeLists.txt000066400000000000000000000005461414350551100222220ustar00rootroot00000000000000SET(LOCAL_FILES lineGraph.png transformation.png original.png ) foreach (f ${LOCAL_FILES}) 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Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_lineGraph(edges_sql, directed) RETURNS SET OF (seq, source, target, cost, reverse_cost) OR EMPTY SET .. rubric:: Using defaults .. code-block:: none pgr_lineGraph(edges_sql) RETURNS SET OF (seq, source, target, cost, reverse_cost) OR EMPTY SET :Example: For a **directed** graph .. literalinclude:: doc-pgr_lineGraph.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: lineGraph - Experimental on v2.5 Complete Signature ............................................................................... .. code-block:: none pgr_lineGraph(edges_sql, directed) RETURNS SET OF (seq, source, target, cost, reverse_cost) OR EMPTY SET :Example: For an **undirected** graph .. literalinclude:: doc-pgr_lineGraph.queries :start-after: -- q2 :end-before: -- q3 Parameters ------------------------------------------------------------------------------- ======================= ====================== ================================================= Column Type Description ======================= ====================== ================================================= **edges_sql** ``TEXT`` SQL query as described above. **directed** ``BOOLEAN`` * When ``true`` the graph is considered as `Directed`. * When ``false`` the graph is considered as `Undirected`. ======================= ====================== ================================================= Inner query ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- RETURNS SETOF (seq, source, target, cost, reverse_cost) ============================ ================= =================================================================== Column Type Description ============================ ================= =================================================================== **seq** ``INTEGER`` Sequential value starting from **1**. **source** ``BIGINT`` Identifier of the source vertex of the current edge `id`. * When `negative`: the source is the reverse edge in the original graph. **target** ``BIGINT`` Identifier of the target vertex of the current edge `id`. * When `negative`: the target is the reverse edge in the original graph. **cost** ``FLOAT`` Weight of the edge (`source`, `target`). * When `negative`: edge (`source`, `target`) does not exist, therefore it’s not part of the graph. **reverse_cost** ``FLOAT`` Weight of the edge (`target`, `source`). * When `negative`: edge (`target`, `source`) does not exist, therefore it’s not part of the graph. ============================ ================= =================================================================== See Also ------------------------------------------------------------------------------- * https://en.wikipedia.org/wiki/Line_graph * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/lineGraph/pgr_lineGraphFull.rst000066400000000000000000000205521414350551100223520ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__) `3.0 `__ * **Unsupported versions:** `2.6 `__ pgr_lineGraphFull - Experimental =============================================================================== ``pgr_lineGraphFull`` — Transforms a given graph into a new graph where all of the vertices from the original graph are converted to line graphs. .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 2.6.0 * New **Experimental** function Description ------------------------------------------------------------------------------- pgr_lineGraphFull, converts original directed graph to a directed line graph by converting each vertex to a complete graph and keeping all the original edges. The new connecting edges have a cost 0 and go between the adjacent original edges, respecting the directionality. A possible application of the resulting graph is **"routing with two edge restrictions"**: - Setting a cost of using the vertex when routing between edges on the connecting edge - Forbid the routing between two edges by removing the connecting edge This is possible because each of the intersections (vertices) in the original graph are now complete graphs that have a new edge for each possible turn across that intersection. The main characteristics are: - This function is for **directed** graphs. - Results are undefined when a negative vertex id is used in the input graph. - Results are undefined when a duplicated edge id is used in the input graph. - Running time: TBD Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. index:: single: lineGraphFull - Experimental on v2.6 .. code-block:: none pgr_lineGraphFull(edges_sql) RETURNS SET OF (seq, source, target, cost, edge) OR EMPTY SET .. rubric:: Using defaults .. code-block:: none pgr_lineGraphFull(TEXT edges_sql) RETURNS SET OF (seq, source, target, cost, edge) OR EMPTY SET :Example: Full line graph of subgraph of edges :math:`\{4, 7, 8, 10\}` .. literalinclude:: doc-pgr_lineGraphFull.queries :start-after: -- q1 :end-before: -- q2 .. pgr_lineGraphFull_parameters_start Parameters ------------------------------------------------------------------------------- ============== ================== ======== ================================================= Column Type Default Description ============== ================== ======== ================================================= **sql** ``TEXT`` SQL query as described above. ============== ================== ======== ================================================= .. pgr_lineGraphFull_parameters_end Inner query ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Additional Examples ------------------------------------------------------------------------------- The examples of this section are based on the :doc:`sampledata` network. The examples include the subgraph including edges 4, 7, 8, and 10 with reverse_cost. :Example: For generating the LineGraphFull This example displays how this graph transformation works to create additional edges for each possible turn in a graph. .. code-block:: none SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id IN (4,7,8,10); | |first| .. |first| image:: images/original.png :align: middle .. code-block:: none SELECT * FROM pgr_lineGraphFull('SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id IN (4,7,8,10)'); | |second| .. |second| image:: images/transformation.png :align: middle In the transformed graph, all of the edges from the original graph are still present (yellow), but we now have additional edges for every turn that could be made across vertex 6 (orange). :Example: For creating table that identifies transformed vertices The vertices in the transformed graph are each created by splitting up the vertices in the original graph. Unless a vertex in the original graph is a leaf vertex, it will generate more than one vertex in the transformed graph. One of the newly created vertices in the transformed graph will be given the same vertex-id as the vertex that it was created from in the original graph, but the rest of the newly created vertices will have negative vertex ids. Following is an example of how to generate a table that maps the ids of the newly created vertices with the original vertex that they were created from The first step is to store your results graph into a table and then create the vertex mapping table with one row for each distinct vertex id in the results graph. .. literalinclude:: doc-pgr_lineGraphFull.queries :start-after: -- q2 :end-before: -- q3 Next, we set the original_id of all of the vertices in the results graph that were given the same vertex id as the vertex that it was created from in the original graph. .. literalinclude:: doc-pgr_lineGraphFull.queries :start-after: -- q3 :end-before: -- q4 Then, we cross reference all of the other newly created vertices that do not have the same original_id and set their original_id values. .. literalinclude:: doc-pgr_lineGraphFull.queries :start-after: -- q4 :end-before: -- q5 The only vertices left that have not been mapped are a few of the leaf vertices from the original graph. The following sql completes the mapping for these leaf vertices (in the case of this example graph there are no leaf vertices but this is necessary for larger graphs). .. literalinclude:: doc-pgr_lineGraphFull.queries :start-after: -- q5 :end-before: -- q6 Now our vertex mapping table is complete: .. literalinclude:: doc-pgr_lineGraphFull.queries :start-after: -- q6 :end-before: -- q7 :Example: For running a dijkstra's shortest path with turn penalties One use case for this graph transformation is to be able to run a shortest path search that takes into account the cost or limitation of turning. Below is an example of running a dijkstra's shortest path from vertex 2 to vertex 8 in the original graph, while adding a turn penalty cost of 100 to the turn from edge 4 to edge -7. First we must increase set the cost of making the turn to 100: .. literalinclude:: doc-pgr_lineGraphFull.queries :start-after: -- q7 :end-before: -- q8 Then we must run a dijkstra's shortest path search using all of the vertices in the new graph that were created from vertex 2 as the starting point, and all of the vertices in the new graph that were created from vertex 8 as the ending point. .. literalinclude:: doc-pgr_lineGraphFull.queries :start-after: -- q8 :end-before: -- q9 Normally the shortest path from vertex 2 to vertex 8 would have an aggregate cost of 2, but since there is a large penalty for making the turn needed to get this cost, the route goes through vertex 6 to avoid this turn. If you cross reference the node column in the dijkstra results with the vertex id mapping table, this will show you that the path goes from v2 -> v5 -> v6 -> v5 -> v8 in the original graph. See Also ----------------------------------------------------------------------------- * https://en.wikipedia.org/wiki/Line_graph * https://en.wikipedia.org/wiki/Complete_graph .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/lineGraph/transformation-family.rst000066400000000000000000000033061414350551100232710ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__) `3.0 `__ * **Unsupported versions:** `2.6 `__ Transformation - Family of functions (Experimental) =============================================================================== .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. index from here * :doc:`pgr_lineGraph` - Transformation algorithm for generating a Line Graph. * :doc:`pgr_lineGraphFull` - Transformation algorithm for generating a Line Graph out of each vertex in the input graph. .. index to here .. toctree:: :hidden: pgr_lineGraph pgr_lineGraphFull Introduction ------------------------ This family of functions is used for transforming a given input graph :math:`G(V,E)` into a new graph :math:`G'(V',E')`. See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/max_flow/000077500000000000000000000000001414350551100161135ustar00rootroot00000000000000pgrouting-3.3.0/doc/max_flow/CMakeLists.txt000066400000000000000000000010251414350551100206510ustar00rootroot00000000000000 SET(LOCAL_FILES flow-family.rst pgr_maxFlow.rst pgr_boykovKolmogorov.rst pgr_edmondsKarp.rst pgr_edgeDisjointPaths.rst pgr_maxCardinalityMatch.rst pgr_pushRelabel.rst pgr_maxFlowMinCost.rst # TODO rename pgr_maxFlowMinCost_Cost.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/max_flow/flow-family.rst000066400000000000000000000321461414350551100211010ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ Flow - Family of functions =================================== .. index from here * :doc:`pgr_maxFlow` - Only the Max flow calculation using Push and Relabel algorithm. * :doc:`pgr_boykovKolmogorov` - Boykov and Kolmogorov with details of flow on edges. * :doc:`pgr_edmondsKarp` - Edmonds and Karp algorithm with details of flow on edges. * :doc:`pgr_pushRelabel` - Push and relabel algorithm with details of flow on edges. * Applications * :doc:`pgr_edgeDisjointPaths` - Calculates edge disjoint paths between two groups of vertices. * :doc:`pgr_maxCardinalityMatch` - Calculates a maximum cardinality matching in a graph. .. index to here .. rubric:: Experimental .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. index experimental from here * :doc:`pgr_maxFlowMinCost` - Details of flow and cost on edges. * :doc:`pgr_maxFlowMinCost_Cost` - Only the Min Cost calculation. .. index experimental to here .. toctree:: :hidden: pgr_maxFlow pgr_boykovKolmogorov pgr_edmondsKarp pgr_pushRelabel pgr_edgeDisjointPaths pgr_maxCardinalityMatch pgr_maxFlowMinCost pgr_maxFlowMinCost_Cost Flow Functions General Information ----------------------------------- .. characteristics_start **The main characteristics are:** - The graph is **directed**. - Process is done only on edges with positive capacities. - When the maximum flow is 0 then there is no flow and **EMPTY SET** is returned. - There is no flow when a **source** is the same as a **target**. - Any duplicated value in the source(s) or target(s) are ignored. - Calculates the flow/residual capacity for each edge. In the output - Edges with zero flow are omitted. - Creates a **super source** and edges to all the source(s), and a **super target** and the edges from all the targets(s). - The maximum flow through the graph is guaranteed to be the value returned by :doc:`pgr_maxFlow ` when executed with the same parameters and can be calculated: - By aggregation of the outgoing flow from the sources - By aggregation of the incoming flow to the targets .. characteristics_end :doc:`pgr_maxFlow ` is the maximum Flow and that maximum is guaranteed to be the same on the functions :doc:`pgr_pushRelabel `, :doc:`pgr_edmondsKarp `, :doc:`pgr_boykovKolmogorov `, but the actual flow through each edge may vary. Parameters ------------------------------------------------------------------------------- .. pgr_flow_parameters_start ===================== ================== ======== ================================================= Column Type Default Description ===================== ================== ======== ================================================= **Edges SQL** ``TEXT`` Edges query as described in `Inner Queries`_. **Combinations SQL** ``TEXT`` Combinations query as described in `Inner Queries`_. **source** ``BIGINT`` Identifier of the starting vertex of the flow. **sources** ``ARRAY[BIGINT]`` Array of identifiers of the starting vertices of the flow. **target** ``BIGINT`` Identifier of the ending vertex of the flow. **targets** ``ARRAY[BIGINT]`` Array of identifiers of the ending vertices of the flow. ===================== ================== ======== ================================================= .. pgr_flow_parameters_end Inner queries ------------------------------------------------------------------------------- .. rubric:: For :doc:`pgr_pushRelabel `, :doc:`pgr_edmondsKarp `, :doc:`pgr_boykovKolmogorov ` : .. flow_edges_sql_start :Edges SQL: an SQL query of a directed graph of capacities, which should return a set of rows with the following columns: ==================== =================== ======== ================================================= Column Type Default Description ==================== =================== ======== ================================================= **id** ``ANY-INTEGER`` Identifier of the edge. **source** ``ANY-INTEGER`` Identifier of the first end point vertex of the edge. **target** ``ANY-INTEGER`` Identifier of the second end point vertex of the edge. **capacity** ``ANY-INTEGER`` Weight of the edge `(source, target)` - When negative: edge `(source, target)` does not exist, therefore it's not part of the graph. **reverse_capacity** ``ANY-INTEGER`` -1 Weight of the edge `(target, source)`, - When negative: edge `(target, source)` does not exist, therefore it's not part of the graph. ==================== =================== ======== ================================================= Where: :ANY-INTEGER: SMALLINT, INTEGER, BIGINT .. flow_edges_sql_end For :doc:`pgr_maxFlowMinCost` and :doc:`pgr_maxFlowMinCost_Cost`: .. costFlow_edges_sql_start :Edges SQL: an SQL query of a directed graph of capacities, which should return a set of rows with the following columns: ==================== =================== ======== ================================================= Column Type Default Description ==================== =================== ======== ================================================= **id** ``ANY-INTEGER`` Identifier of the edge. **source** ``ANY-INTEGER`` Identifier of the first end point vertex of the edge. **target** ``ANY-INTEGER`` Identifier of the second end point vertex of the edge. **capacity** ``ANY-INTEGER`` Capacity of the edge `(source, target)` * When negative: edge `(source, target)` does not exist, therefore it's not part of the graph. **reverse_capacity** ``ANY-INTEGER`` -1 Capacity of the edge `(target, source)`, * When negative: edge `(target, source)` does not exist, therefore it's not part of the graph. **cost** ``ANY-NUMERICAL`` Weight of the edge `(source, target)` if it exists. **reverse_cost** ``ANY-NUMERICAL`` 0 Weight of the edge `(target, source)` if it exists. ==================== =================== ======== ================================================= Where: :ANY-INTEGER: SMALLINT, INTEGER, BIGINT :ANY-NUMERICAL: smallint, int, bigint, real, float .. costFlow_edges_sql_end For :doc:`pgr_pushRelabel `, :doc:`pgr_edmondsKarp `, :doc:`pgr_boykovKolmogorov `, :doc:`pgr_edgeDisjointPaths `, :doc:`pgr_maxFlowMinCost ` and :doc:`pgr_maxFlowMinCost_Cost ` : .. flow_combinations_sql_start :Combinations SQL: an SQL query which should return a set of rows with the following columns: .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end The function aggregates the sources and the targets, removes the duplicates, and then it calculates the result from the resultant source vertices to the target vertices. .. flow_combinations_sql_end Result Columns ------------------------------------------------------------------------------- .. rubric:: For :doc:`pgr_pushRelabel `, :doc:`pgr_edmondsKarp `, :doc:`pgr_boykovKolmogorov ` : .. result_flow_start ===================== ==================== ================================================= Column Type Description ===================== ==================== ================================================= **seq** ``INT`` Sequential value starting from **1**. **edge** ``BIGINT`` Identifier of the edge in the original query(edges_sql). **start_vid** ``BIGINT`` Identifier of the first end point vertex of the edge. **end_vid** ``BIGINT`` Identifier of the second end point vertex of the edge. **flow** ``BIGINT`` Flow through the edge in the direction (``start_vid``, ``end_vid``). **residual_capacity** ``BIGINT`` Residual capacity of the edge in the direction (``start_vid``, ``end_vid``). ===================== ==================== ================================================= .. result_flow_end .. rubric:: For :doc:`pgr_maxFlowMinCost` .. result_costFlow_start ===================== ==================== ================================================= Column Type Description ===================== ==================== ================================================= **seq** ``INT`` Sequential value starting from **1**. **edge** ``BIGINT`` Identifier of the edge in the original query(edges_sql). **source** ``BIGINT`` Identifier of the first end point vertex of the edge. **target** ``BIGINT`` Identifier of the second end point vertex of the edge. **flow** ``BIGINT`` Flow through the edge in the direction (source, target). **residual_capacity** ``BIGINT`` Residual capacity of the edge in the direction (source, target). **cost** ``FLOAT`` The cost of sending this flow through the edge in the direction (source, target). **agg_cost** ``FLOAT`` The aggregate cost. ===================== ==================== ================================================= .. result_costFlow_end Adcanced Documentation ------------------------ A flow network is a directed graph where each edge has a capacity and a flow. The flow through an edge must not exceed the capacity of the edge. Additionally, the incoming and outgoing flow of a node must be equal except for source which only has outgoing flow, and the destination(sink) which only has incoming flow. Maximum flow algorithms calculate the maximum flow through the graph and the flow of each edge. The maximum flow through the graph is guaranteed to be the same with all implementations, but the actual flow through each edge may vary. Given the following query: pgr_maxFlow :math:`(edges\_sql, source\_vertex, sink\_vertex)` where :math:`edges\_sql = \{(id_i, source_i, target_i, capacity_i, reverse\_capacity_i)\}` .. rubric:: Graph definition The weighted directed graph, :math:`G(V,E)`, is defined as: * the set of vertices :math:`V` - :math:`source\_vertex \cup sink\_vertex \bigcup source_i \bigcup target_i` * the set of edges :math:`E` - :math:`E = \begin{cases} \text{ } \{(source_i, target_i, capacity_i) \text{ when } capacity > 0 \} & \quad \text{ if } reverse\_capacity = \varnothing \\ \text{ } & \quad \text{ } \\ \{(source_i, target_i, capacity_i) \text{ when } capacity > 0 \} & \text{ } \\ \cup \{(target_i, source_i, reverse\_capacity_i) \text{ when } reverse\_capacity_i > 0)\} & \quad \text{ if } reverse\_capacity \neq \varnothing \\ \end{cases}` .. rubric:: Maximum flow problem Given: - :math:`G(V,E)` - :math:`source\_vertex \in V` the source vertex - :math:`sink\_vertex \in V` the sink vertex Then: - :math:`pgr\_maxFlow(edges\_sql, source, sink) = \boldsymbol{\Phi}` - :math:`\boldsymbol{\Phi} = {(id_i, edge\_id_i, source_i, target_i, flow_i, residual\_capacity_i)}` Where: :math:`\boldsymbol{\Phi}` is a subset of the original edges with their residual capacity and flow. The maximum flow through the graph can be obtained by aggregating on the source or sink and summing the flow from/to it. In particular: - :math:`id_i = i` - :math:`edge\_id = id_i` in edges_sql - :math:`residual\_capacity_i = capacity_i - flow_i` See Also -------- * https://en.wikipedia.org/wiki/Maximum_flow_problem .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/max_flow/pgr_boykovKolmogorov.rst000066400000000000000000000136431414350551100231140ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ pgr_boykovKolmogorov ============================================ ``pgr_boykovKolmogorov`` — Calculates the flow on the graph edges that maximizes the flow from the sources to the targets using Boykov Kolmogorov algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/boykov_kolmogorov_max_flow.html Boost Graph Inside .. Rubric:: Availability: * Version 3.2.0 * New **proposed** function: * pgr_boykovKolmogorov(Combinations) * Version 3.0.0 * **Official** function * Version 2.5.0 * Renamed from ``pgr_maxFlowBoykovKolmogorov`` * **Proposed** function * Version 2.3.0 * New **Experimental** function Description ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: characteristics_start :end-before: characteristics_end * Running time: Polynomial Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_boykovKolmogorov(Edges SQL, source, target) pgr_boykovKolmogorov(Edges SQL, sources, target) pgr_boykovKolmogorov(Edges SQL, source, targets) pgr_boykovKolmogorov(Edges SQL, sources, targets) pgr_boykovKolmogorov(Edges SQL, Combinations SQL) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET .. index:: single: boykovKolmogorov(One to One) One to One ............................................................................... .. code-block:: none pgr_boykovKolmogorov(Edges SQL, source, target) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET :Example: From vertex :math:`6` to vertex :math:`11` .. literalinclude:: doc-pgr_boykovKolmogorov.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: boykovKolmogorov(One to Many) One to Many ............................................................................... .. code-block:: none pgr_boykovKolmogorov(Edges SQL, source, targets) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET :Example: From vertex :math:`6` to vertices :math:`\{1, 3, 11\}` .. literalinclude:: doc-pgr_boykovKolmogorov.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: boykovKolmogorov(Many to One) Many to One ............................................................................... .. code-block:: none pgr_boykovKolmogorov(Edges SQL, sources, target) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET :Example: From vertices :math:`\{6, 8, 12\}` to vertex :math:`11` .. literalinclude:: doc-pgr_boykovKolmogorov.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: boykovKolmogorov(Many to Many) Many to Many ............................................................................... .. code-block:: none pgr_boykovKolmogorov(Edges SQL, sources, targets) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET :Example: From vertices :math:`\{6, 8, 12\}` to vertices :math:`\{1, 3, 11\}` .. literalinclude:: doc-pgr_boykovKolmogorov.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: boykovKolmogorov(Combinations) - Proposed on v3.2 Combinations ............................................................................... .. code-block:: none pgr_boykovKolmogorov(Edges SQL, Combinations SQL) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET :Example: Using a combinations table, equivalent to calculating result from vertices :math:`\{6, 8, 12\}` to vertices :math:`\{1, 3, 11\}`. .. literalinclude:: doc-pgr_boykovKolmogorov.queries :start-after: -- q5 :end-before: -- q6 Parameters ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: pgr_flow_parameters_start :end-before: pgr_flow_parameters_end Inner queries ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: flow_edges_sql_start :end-before: flow_edges_sql_end .. include:: flow-family.rst :start-after: flow_combinations_sql_start :end-before: flow_combinations_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: result_flow_start :end-before: result_flow_end See Also ------------------------------------------------------------------------------- * :doc:`flow-family`, :doc:`pgr_pushRelabel`, :doc:`pgr_edmondsKarp` * https://www.boost.org/libs/graph/doc/boykov_kolmogorov_max_flow.html .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/max_flow/pgr_edgeDisjointPaths.rst000066400000000000000000000157471414350551100231430ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ pgr_edgeDisjointPaths ========================================== ``pgr_edgeDisjointPaths`` — Calculates edge disjoint paths between two groups of vertices. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/boykov_kolmogorov_max_flow.html Boost Graph Inside .. Rubric:: Availability * Version 3.2.0 * New **proposed** function: * pgr_edgeDisjointPaths(Combinations) * Version 3.0.0 * **Official** function * Version 2.5.0 * **Proposed** function * Version 2.3.0 * New **Experimental** function Description ------------------------------------------------------------------------------- Calculates the edge disjoint paths between two groups of vertices. Utilizes underlying maximum flow algorithms to calculate the paths. The main characterics are: - Calculates the edge disjoint paths between any two groups of vertices. - Returns EMPTY SET when source and destination are the same, or cannot be reached. - The graph can be directed or undirected. - One to many, many to one, many to many versions are also supported. - Uses :doc:`pgr_boykovKolmogorov` to calculate the paths. Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_edgeDisjointPaths(Edges SQL, start_vid, end_vid) pgr_edgeDisjointPaths(Edges SQL, start_vid, end_vid [, directed]) pgr_edgeDisjointPaths(Edges SQL, start_vid, end_vids [, directed]) pgr_edgeDisjointPaths(Edges SQL, start_vids, end_vid [, directed]) pgr_edgeDisjointPaths(Edges SQL, start_vids, end_vids [, directed]) pgr_edgeDisjointPaths(Edges SQL, Combinations SQL [, directed]) RETURNS SET OF (seq, path_id, path_seq, [start_vid,] [end_vid,] node, edge, cost, agg_cost) OR EMPTY SET .. rubric:: Using defaults .. code-block:: none pgr_edgeDisjointPaths(Edges SQL, start_vid, end_vid) RETURNS SET OF (seq, path_id, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`3` to vertex :math:`5` on a **directed** graph .. literalinclude:: doc-pgr_edgeDisjointPaths.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: edgeDisjointPaths(One to One) One to One ............................................................................... .. code-block:: none pgr_edgeDisjointPaths(Edges SQL, start_vid, end_vid, directed) RETURNS SET OF (seq, path_id, path_seq, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`3` to vertex :math:`5` on an **undirected** graph .. literalinclude:: doc-pgr_edgeDisjointPaths.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: edgeDisjointPaths(One to Many) One to Many ............................................................................... .. code-block:: none pgr_edgeDisjointPaths(Edges SQL, start_vid, end_vids, directed) RETURNS SET OF (seq, path_id, path_seq, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`3` to vertices :math:`\{4, 5, 10\}` on a **directed** graph .. literalinclude:: doc-pgr_edgeDisjointPaths.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: edgeDisjointPaths(Many to One) Many to One ............................................................................... .. code-block:: none pgr_edgeDisjointPaths(Edges SQL, start_vids, end_vid, directed) RETURNS SET OF (seq, path_id, path_seq, start_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{3, 6\}` to vertex :math:`5` on a **directed** graph .. literalinclude:: doc-pgr_edgeDisjointPaths.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: edgeDisjointPaths(Many to Many) Many to Many ............................................................................... .. code-block:: none pgr_edgeDisjointPaths(Edges SQL, start_vids, end_vids, directed) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{3, 6\}` to vertices :math:`\{4, 5, 10\}` on a **directed** graph .. literalinclude:: doc-pgr_edgeDisjointPaths.queries :start-after: -- q5 :end-before: -- q6 .. index:: single: edgeDisjointPaths(Combinations) -- Proposed on v3.2 Combinations ............................................................................... .. code-block:: none pgr_edgeDisjointPaths(Edges SQL, Combinations SQL, directed) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) OR EMPTY SET :Example: Using a combinations table, equivalent to calculating result from vertices :math:`\{3, 6\}` to vertices :math:`\{4, 5, 10\}` on a **directed** graph. .. literalinclude:: doc-pgr_edgeDisjointPaths.queries :start-after: -- q6 :end-before: -- q7 Parameters ------------------------------------------------------------------------------- .. include:: pgr_bdDijkstra.rst :start-after: bdDijkstra_parameters_start :end-before: bdDijkstra_parameters_end Inner queries ------------------------------------------------------------------------------- Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Combinations query ............................................................................... .. include:: flow-family.rst :start-after: flow_combinations_sql_start :end-before: flow_combinations_sql_end Return Columns ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: return_path_start :end-before: return_path_end See Also ------------------------------------------------------------------------------- * :doc:`flow-family` .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/max_flow/pgr_edmondsKarp.rst000066400000000000000000000135401414350551100217670ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ pgr_edmondsKarp =============================================================================== ``pgr_edmondsKarp`` — Calculates the flow on the graph edges that maximizes the flow from the sources to the targets using Push Relabel Algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/push_relabel_max_flow.html Boost Graph Inside .. Rubric:: Availability * Version 3.2.0 * New **proposed** function: * pgr_edmondsKarp(Combinations) * Version 3.0.0 * **Official** function * Version 2.5.0 * Renamed from ``pgr_maxFlowEdmondsKarp`` * **Proposed** function * Version 2.3.0 * New **Experimental** function Description ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: characteristics_start :end-before: characteristics_end * Running time: :math:`O( V * E ^ 2)` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_edmondsKarp(Edges SQL, source, target) pgr_edmondsKarp(Edges SQL, sources, target) pgr_edmondsKarp(Edges SQL, source, targets) pgr_edmondsKarp(Edges SQL, sources, targets) pgr_edmondsKarp(Edges SQL, Combinations SQL) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET .. index:: single: edmondsKarp(One to One) One to One ............................................................................... .. code-block:: none pgr_edmondsKarp(Edges SQL, source, target) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET :Example: From vertex :math:`6` to vertex :math:`11` .. literalinclude:: doc-pgr_edmondsKarp.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: edmondsKarp(One to Many) One to Many ............................................................................... .. code-block:: none pgr_edmondsKarp(Edges SQL, source, targets) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET :Example: From vertex :math:`6` to vertices :math:`\{1, 3, 11\}` .. literalinclude:: doc-pgr_edmondsKarp.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: edmondsKarp(Many to One) Many to One ............................................................................... .. code-block:: none pgr_edmondsKarp(Edges SQL, sources, target) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET :Example: From vertices :math:`\{6, 8, 12\}` to vertex :math:`11` .. literalinclude:: doc-pgr_edmondsKarp.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: edmondsKarp(Many to Many) Many to Many ............................................................................... .. code-block:: none pgr_edmondsKarp(Edges SQL, sources, targets) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET :Example: From vertices :math:`\{6, 8, 12\}` to vertices :math:`\{1, 3, 11\}` .. literalinclude:: doc-pgr_edmondsKarp.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: edmondsKarp(Combinations) - Proposed on v3.2 Combinations ............................................................................... .. code-block:: none pgr_edmondsKarp(Edges SQL, Combinations SQL) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET :Example: Using a combinations table, equivalent to calculating result from vertices :math:`\{6, 8, 12\}` to vertices :math:`\{1, 3, 11\}`. .. literalinclude:: doc-pgr_edmondsKarp.queries :start-after: -- q5 :end-before: -- q6 Parameters ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: pgr_flow_parameters_start :end-before: pgr_flow_parameters_end Inner queries ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: flow_edges_sql_start :end-before: flow_edges_sql_end .. include:: flow-family.rst :start-after: flow_combinations_sql_start :end-before: flow_combinations_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: result_flow_start :end-before: result_flow_end See Also ------------------------------------------------------------------------------- * :doc:`flow-family`, :doc:`pgr_boykovKolmogorov`, :doc:`pgr_pushRelabel` * https://www.boost.org/libs/graph/doc/edmonds_karp_max_flow.html * https://en.wikipedia.org/wiki/Edmonds%E2%80%93Karp_algorithm .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/max_flow/pgr_maxCardinalityMatch.rst000066400000000000000000000130761414350551100234520ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.1 `__) `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ pgr_maxCardinalityMatch =============================================================================== ``pgr_maxCardinalityMatch`` — Calculates a maximum cardinality matching in a graph. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/maximum_matching.html Boost Graph Inside .. Rubric:: Availability * Version 3.0.0 * **Official** function * Version 2.5.0 * Renamed from ``pgr_maximumCardinalityMatching`` * **Proposed** function * Version 2.3.0 * New **Experimental** function Description ------------------------------------------------------------------------------- **The main characteristics are:** * A matching or independent edge set in a graph is a set of edges without common vertices. * A maximum matching is a matching that contains the largest possible number of edges. * There may be many maximum matchings. * Calculates **one** possible maximum cardinality matching in a graph. * The graph can be **directed** or **undirected**. * Running time: :math:`O( E*V * \alpha(E,V))` * :math:`\alpha(E,V)` is the inverse of the `Ackermann function`_. .. _Ackermann function: https://en.wikipedia.org/wiki/Ackermann_function Signatures ------------------------------------------------------------------------------- .. index:: single: MaximumCardinalityMatch .. code-block:: none pgr_maxCardinalityMatch(Edges SQL [, directed]) RETURNS SET OF (seq, edge_id, source, target) OR EMPTY SET :Example: For an **undirected** graph .. literalinclude:: doc-pgr_maxCardinalityMatch.queries :start-after: -- q2 :end-before: -- q3 Parameters ------------------------------------------------------------------------------- ============== ================== ======== ========================================= Parameter Type Default Description ============== ================== ======== ========================================= **edges_sql** ``TEXT`` SQL query as described above. **directed** ``BOOLEAN`` ``true`` Determines the type of the graph. - When ``true`` Graph is considered `Directed` - When ``false`` the graph is considered as `Undirected`. ============== ================== ======== ========================================= Inner query ------------------------------------------------------------------------------- :Edges SQL: an SQL query, which should return a set of rows with the following columns: ==================== =================== ================================================= Column Type Description ==================== =================== ================================================= **id** ``ANY-INTEGER`` Identifier of the edge. **source** ``ANY-INTEGER`` Identifier of the first end point vertex of the edge. **target** ``ANY-INTEGER`` Identifier of the second end point vertex of the edge. **going** ``ANY-NUMERIC`` A positive value represents the existence of the edge (``source``, ``target``). **coming** ``ANY-NUMERIC`` A positive value represents the existence of the edge (``target``, ``source``). ==================== =================== ================================================= Where: :ANY-INTEGER: SMALLINT, INTEGER, BIGINT :ANY-NUMERIC: SMALLINT, INTEGER, BIGINT, REAL FLOAT Result Columns ------------------------------------------------------------------------------- ===================== ==================== ================================================= Column Type Description ===================== ==================== ================================================= **seq** ``INT`` Sequential value starting from **1**. **edge** ``BIGINT`` Identifier of the edge in the original query. **source** ``BIGINT`` Identifier of the first end point of the edge. **target** ``BIGINT`` Identifier of the second end point of the edge. ===================== ==================== ================================================= See Also ------------------------------------------------------------------------------- * :doc:`flow-family` * https://www.boost.org/libs/graph/doc/maximum_matching.html * https://en.wikipedia.org/wiki/Matching_%28graph_theory%29 * https://en.wikipedia.org/wiki/Ackermann_function .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/max_flow/pgr_maxFlow.rst000066400000000000000000000131301414350551100211300ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ pgr_maxFlow =============================================================================== ``pgr_maxFlow`` — Calculates the maximum flow in a directed graph from the source(s) to the targets(s) using the Push Relabel algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/push_relabel_max_flow.html Boost Graph Inside .. Rubric:: Availability * Version 3.2.0 * New **proposed** function: * pgr_maxFlow(Combinations) * Version 3.0.0 * **Official** function * Version 2.4.0 * New **Proposed** function Description ------------------------------------------------------------------------------- **The main characteristics are:** - The graph is **directed**. - Calculates the maximum flow from the `source(s)` to the `target(s)`. - When the maximum flow is **0** then there is no flow and **0** is returned. - There is no flow when a **source** is the same as a **target**. - Any duplicated value in the source(s) or target(s) are ignored. - Uses the :doc:`pgr_pushRelabel ` algorithm. * Running time: :math:`O( V ^ 3)` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_maxFlow(Edges SQL, source, target) pgr_maxFlow(Edges SQL, sources, target) pgr_maxFlow(Edges SQL, source, targets) pgr_maxFlow(Edges SQL, sources, targets) pgr_maxFlow(Edges SQL, Combinations SQL) RETURNS BIGINT .. index:: single: maxFlow(One to One) One to One ............................................................................... .. code-block:: none pgr_maxFlow(Edges SQL, source, target) RETURNS BIGINT :Example: From vertex :math:`6` to vertex :math:`11` .. literalinclude:: doc-pgr_maxFlow.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: maxFlow(One to Many) One to Many ............................................................................... .. code-block:: none pgr_maxFlow(Edges SQL, source, targets) RETURNS BIGINT :Example: From vertex :math:`6` to vertices :math:`\{11, 1, 13\}` .. literalinclude:: doc-pgr_maxFlow.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: maxFlow(Many to One) Many to One ............................................................................... .. code-block:: none pgr_maxFlow(Edges SQL, sources, target) RETURNS BIGINT :Example: From vertices :math:`\{6, 8, 12\}` to vertex :math:`11` .. literalinclude:: doc-pgr_maxFlow.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: maxFlow(Many to Many) Many to Many ............................................................................... .. code-block:: none pgr_maxFlow(Edges SQL, sources, targets) RETURNS BIGINT :Example: From vertices :math:`\{6, 8, 12\}` to vertices :math:`\{1, 3, 11\}` .. literalinclude:: doc-pgr_maxFlow.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: maxFlow(Combinations) - Proposed on v3.2 Combinations ............................................................................... .. code-block:: none pgr_maxFlow(Edges SQL, Combinations SQL) RETURNS BIGINT :Example: Using a combinations table, equivalent to calculating result from vertices :math:`\{6, 8, 12\}` to vertices :math:`\{1, 3, 11\}`. .. literalinclude:: doc-pgr_maxFlow.queries :start-after: -- q5 :end-before: -- q6 Parameters ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: pgr_flow_parameters_start :end-before: pgr_flow_parameters_end Inner queries ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: flow_edges_sql_start :end-before: flow_edges_sql_end .. include:: flow-family.rst :start-after: flow_combinations_sql_start :end-before: flow_combinations_sql_end Return Columns ------------------------------------------------------------------------------- ====================== ================================================= Type Description ====================== ================================================= ``BIGINT`` Maximum flow possible from the source(s) to the target(s) ====================== ================================================= See Also ------------------------------------------------------------------------------- * :doc:`flow-family` * https://www.boost.org/libs/graph/doc/push_relabel_max_flow.html * https://en.wikipedia.org/wiki/Push%E2%80%93relabel_maximum_flow_algorithm .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/max_flow/pgr_maxFlowMinCost.rst000066400000000000000000000140371414350551100224340ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_maxFlowMinCost - Experimental ============================================ ``pgr_maxFlowMinCost`` — Calculates the flow on the graph edges that maximizes the flow and minimizes the cost from the sources to the targets. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/push_relabel_max_flow.html Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.2.0 * New **experimental** function: * pgr_maxFlowMinCost(Combinations) * Version 3.0.0 * New **experimental** function Description ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: characteristics_start :end-before: characteristics_end * **TODO** check which statement is true: * The cost value of all input edges must be nonnegative. * Process is done when the cost value of all input edges is nonnegative. * Process is done on edges with nonnegative cost. * Running time: :math:`O(U * (E + V * logV))` * where :math:`U` is the value of the max flow. * :math:`U` is upper bound on number of iterations. In many real world cases number of iterations is much smaller than :math:`U`. Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_maxFlowMinCost(Edges SQL, source, target) pgr_maxFlowMinCost(Edges SQL, sources, target) pgr_maxFlowMinCost(Edges SQL, source, targets) pgr_maxFlowMinCost(Edges SQL, sources, targets) pgr_maxFlowMinCost(Edges SQL, Combinations SQL) RETURNS SET OF (seq, edge, source, target, flow, residual_capacity, cost, agg_cost) OR EMPTY SET .. index:: single: maxFlowMinCost(One to One) - Experimental on v3.0 One to One ............................................................................... .. code-block:: none pgr_maxFlowMinCost(Edges SQL, source, target) RETURNS SET OF (seq, edge, source, target, flow, residual_capacity, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`2` to vertex :math:`3` .. literalinclude:: doc-pgr_maxFlowMinCost.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: maxFlowMinCost(One to Many) - Experimental on v3.0 One to Many ............................................................................... .. code-block:: none pgr_maxFlowMinCost(Edges SQL, source, targets) RETURNS SET OF (seq, edge, source, target, flow, residual_capacity, cost, agg_cost) OR EMPTY SET :Example: From vertex :math:`13` to vertices :math:`\{7, 1, 4\}` .. literalinclude:: doc-pgr_maxFlowMinCost.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: maxFlowMinCost(Many to One) - Experimental on v3.0 Many to One ............................................................................... .. code-block:: none pgr_maxFlowMinCost(Edges SQL, sources, target) RETURNS SET OF (seq, edge, source, target, flow, residual_capacity, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{1, 7, 14\}` to vertex :math:`12` .. literalinclude:: doc-pgr_maxFlowMinCost.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: maxFlowMinCost(Many to Many) - Experimental on v3.0 Many to Many ............................................................................... .. code-block:: none pgr_maxFlowMinCost(Edges SQL, sources, targets) RETURNS SET OF (seq, edge, source, target, flow, residual_capacity, cost, agg_cost) OR EMPTY SET :Example: From vertices :math:`\{7, 13\}` to vertices :math:`\{3, 9\}` .. literalinclude:: doc-pgr_maxFlowMinCost.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: maxFlowMinCost(Combinations) -- Experimental on v3.2 Combinations ............................................................................... .. code-block:: none pgr_maxFlowMinCost(Edges SQL, Combinations SQL) RETURNS SET OF (seq, edge, source, target, flow, residual_capacity, cost, agg_cost) OR EMPTY SET :Example: Using a combinations table, equivalent to calculating result from vertices :math:`\{7, 13\}` to vertices :math:`\{3, 9\}`. .. literalinclude:: doc-pgr_maxFlowMinCost.queries :start-after: -- q5 :end-before: -- q6 Parameters ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: pgr_flow_parameters_start :end-before: pgr_flow_parameters_end Inner queries ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: costFlow_edges_sql_start :end-before: costFlow_edges_sql_end .. include:: flow-family.rst :start-after: flow_combinations_sql_start :end-before: flow_combinations_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: result_costFlow_start :end-before: result_costFlow_end See Also ------------------------------------------------------------------------------- * :doc:`flow-family` * https://www.boost.org/libs/graph/doc/successive_shortest_path_nonnegative_weights.html .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/max_flow/pgr_maxFlowMinCost_Cost.rst000066400000000000000000000137471414350551100234330ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_maxFlowMinCost_Cost - Experimental ============================================ ``pgr_maxFlowMinCost_Cost`` — Calculates the minmum cost maximum flow in a directed graph from the source(s) to the targets(s). .. TODO check which functions is used from boost .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/push_relabel_max_flow.html Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.2.0 * New **experimental** function: * pgr_maxFlowMinCost_Cost(Combinations) * Version 3.0.0 * New **experimental** function Description ------------------------------------------------------------------------------- **The main characteristics are:** - The graph is **directed**. - **The cost value of all input edges must be nonnegative.** - When the maximum flow is 0 then there is no flow and **0** is returned. - There is no flow when a **source** is the same as a **target**. - Any duplicated value in the source(s) or target(s) are ignored. - Uses the :doc:`pgr_maxFlowMinCost ` algorithm. * Running time: :math:`O(U * (E + V * logV))`, where :math:`U` is the value of the max flow. :math:`U` is upper bound on number of iteration. In many real world cases number of iterations is much smaller than :math:`U`. Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_maxFlowMinCost_Cost(Edges SQL, source, target) pgr_maxFlowMinCost_Cost(Edges SQL, sources, target) pgr_maxFlowMinCost_Cost(Edges SQL, source, targets) pgr_maxFlowMinCost_Cost(Edges SQL, sources, targets) pgr_maxFlowMinCost_Cost(Edges SQL, Combinations SQL) RETURNS FLOAT .. index:: single: maxFlowMinCost_Cost(One to One) - Experimental on v3.0 One to One ............................................................................... .. code-block:: none pgr_maxFlowMinCost_Cost(Edges SQL, source, target) RETURNS FLOAT :Example: From vertex :math:`2` to vertex :math:`3` .. literalinclude:: doc-pgr_maxFlowMinCost_Cost.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: maxFlowMinCost_Cost(One to Many) - Experimental on v3.0 One to Many ............................................................................... .. code-block:: none pgr_maxFlowMinCost_Cost(Edges SQL, source, targets) RETURNS FLOAT :Example: From vertex :math:`13` to vertices :math:`\{7, 1, 4\}` .. literalinclude:: doc-pgr_maxFlowMinCost_Cost.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: maxFlowMinCost_Cost(Many to One) - Experimental on v3.0 Many to One ............................................................................... .. code-block:: none pgr_maxFlowMinCost_Cost(Edges SQL, sources, target) RETURNS FLOAT :Example: From vertices :math:`\{1, 7, 14\}` to vertex :math:`12` .. literalinclude:: doc-pgr_maxFlowMinCost_Cost.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: maxFlowMinCost_Cost(Many to Many) - Experimental on v3.0 Many to Many ............................................................................... .. code-block:: none pgr_maxFlowMinCost_Cost(Edges SQL, sources, targets) RETURNS FLOAT :Example: From vertices :math:`\{7, 13\}` to vertices :math:`\{3, 9\}` .. literalinclude:: doc-pgr_maxFlowMinCost_Cost.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: maxFlowMinCost_Cost(Combinations) - Experimental on v3.2 Combinations ............................................................................... .. code-block:: none pgr_maxFlowMinCost_Cost(Edges SQL, Combinations SQL) RETURNS FLOAT :Example: Using a combinations table, equivalent to calculating result from vertices :math:`\{7, 13\}` to vertices :math:`\{3, 9\}`. .. literalinclude:: doc-pgr_maxFlowMinCost_Cost.queries :start-after: -- q5 :end-before: -- q6 Parameters ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: pgr_flow_parameters_start :end-before: pgr_flow_parameters_end Inner queries ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: costFlow_edges_sql_start :end-before: costFlow_edges_sql_end .. include:: flow-family.rst :start-after: flow_combinations_sql_start :end-before: flow_combinations_sql_end Result Columns ------------------------------------------------------------------------------- ====================== ================================================= Type Description ====================== ================================================= ``FLOAT`` Minimum Cost Maximum Flow possible from the source(s) to the target(s) ====================== ================================================= See Also ------------------------------------------------------------------------------- * :doc:`flow-family` * https://www.boost.org/libs/graph/doc/successive_shortest_path_nonnegative_weights.html .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/max_flow/pgr_pushRelabel.rst000066400000000000000000000136541414350551100217740ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ pgr_pushRelabel =============================================================================== ``pgr_pushRelabel`` — Calculates the flow on the graph edges that maximizes the flow from the sources to the targets using Push Relabel Algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/push_relabel_max_flow.html Boost Graph Inside .. Rubric:: Availability * Version 3.2.0 * New **proposed** function: * pgr_pushRelabel(Combinations) * Version 3.0.0 * **Official** function * Version 2.5.0 * Renamed from ``pgr_maxFlowPushRelabel`` * **Proposed** function * Version 2.3.0 * New **Experimental** function Description ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: characteristics_start :end-before: characteristics_end * Running time: :math:`O( V ^ 3)` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_pushRelabel(Edges SQL, source, target) pgr_pushRelabel(Edges SQL, sources, target) pgr_pushRelabel(Edges SQL, source, targets) pgr_pushRelabel(Edges SQL, sources, targets) pgr_pushRelabel(Edges SQL, Combinations SQL) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET .. index:: single: pushRelabel(One to One) One to One ..................................................................... .. code-block:: none pgr_pushRelabel(Edges SQL, source, target) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET :Example: From vertex :math:`6` to vertex :math:`11` .. literalinclude:: doc-pgr_pushRelabel.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: pushRelabel(One to Many) One to Many ..................................................................... Calculates the flow on the graph edges that maximizes the flow from the `source` to all of the `targets`. .. code-block:: none pgr_pushRelabel(Edges SQL, source, targets) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET :Example: From vertex :math:`6` to vertices :math:`\{11, 1, 13\}` .. literalinclude:: doc-pgr_pushRelabel.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: pushRelabel(Many to One) Many to One ..................................................................... .. code-block:: none pgr_pushRelabel(Edges SQL, sources, target) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET :Example: From vertices :math:`\{6, 8, 12\}` to vertex :math:`11` .. literalinclude:: doc-pgr_pushRelabel.queries :start-after: -- q3 :end-before: -- q4 .. index:: single: pushRelabel(Many to Many) Many to Many ..................................................................... .. code-block:: none pgr_pushRelabel(Edges SQL, sources, targets) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET :Example: From vertices :math:`\{6, 8, 12\}` to vertices :math:`\{1, 3, 11\}` .. literalinclude:: doc-pgr_pushRelabel.queries :start-after: -- q4 :end-before: -- q5 .. index:: single: pushRelabel(Combinations) - Proposed on v3.2 Combinations ............................................................................... .. code-block:: none pgr_pushRelabel(Edges SQL, Combinations SQL) RETURNS SET OF (seq, edge, start_vid, end_vid, flow, residual_capacity) OR EMPTY SET :Example: Using a combinations table, equivalent to calculating result from vertices :math:`\{6, 8, 12\}` to vertices :math:`\{1, 3, 11\}`. .. literalinclude:: doc-pgr_pushRelabel.queries :start-after: -- q5 :end-before: -- q6 Parameters ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: pgr_flow_parameters_start :end-before: pgr_flow_parameters_end Inner queries ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: flow_edges_sql_start :end-before: flow_edges_sql_end .. include:: flow-family.rst :start-after: flow_combinations_sql_start :end-before: flow_combinations_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: flow-family.rst :start-after: result_flow_start :end-before: result_flow_end See Also ------------------------------------------------------------------------------- * :doc:`flow-family`, :doc:`pgr_boykovKolmogorov`, :doc:`pgr_edmondsKarp` * https://www.boost.org/libs/graph/doc/push_relabel_max_flow.html * https://en.wikipedia.org/wiki/Push%E2%80%93relabel_maximum_flow_algorithm .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/mincut/000077500000000000000000000000001414350551100155765ustar00rootroot00000000000000pgrouting-3.3.0/doc/mincut/CMakeLists.txt000066400000000000000000000004551414350551100203420ustar00rootroot00000000000000 SET(LOCAL_FILES pgr_stoerWagner.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/mincut/pgr_stoerWagner.rst000066400000000000000000000152441414350551100215060ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__) `3.0 `__ pgr_stoerWagner - Experimental =============================================================================== ``pgr_stoerWagner`` — Returns the weight of the min-cut of graph using stoerWagner algorithm. Function determines a min-cut and the min-cut weight of a connected, undirected graph implemented by Boost.Graph. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/stoer_wagner_min_cut.html Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 2.3.0 * New **Experimental** function Description ------------------------------------------------------------------------------- In graph theory, the Stoer–Wagner algorithm is a recursive algorithm to solve the minimum cut problem in undirected weighted graphs with non-negative weights. The essential idea of this algorithm is to shrink the graph by merging the most intensive vertices, until the graph only contains two combined vertex sets. At each phase, the algorithm finds the minimum s-t cut for two vertices s and t chosen as its will. Then the algorithm shrinks the edge between s and t to search for non s-t cuts. The minimum cut found in all phases will be the minimum weighted cut of the graph. A cut is a partition of the vertices of a graph into two disjoint subsets. A minimum cut is a cut for which the size or weight of the cut is not larger than the size of any other cut. For an unweighted graph, the minimum cut would simply be the cut with the least edges. For a weighted graph, the sum of all edges' weight on the cut determines whether it is a minimum cut. **The main characteristics are:** - Process is done only on edges with positive costs. - It's implementation is only on **undirected** graph. - Sum of the weights of all edges between the two sets is mincut. - A **mincut** is a cut having the least weight. - Values are returned when graph is connected. - When there is no edge in graph then EMPTY SET is return. - When the graph is unconnected then EMPTY SET is return. - Sometimes a graph has multiple min-cuts, but all have the same weight. The this function determines exactly one of the min-cuts as well as its weight. * Running time: :math:`O(V*E + V^2*log V)`. Signatures ------------------------------------------------------------------------------- .. index:: single: stoerWagner - Experimental on v3.0 .. code-block:: none pgr_stoerWagner(edges_sql) RETURNS SET OF (seq, edge, cost, mincut) OR EMPTY SET :Example: * **TBD** .. code-block:: none pgr_stoerWagner(TEXT edges_sql); RETURNS SET OF (seq, edge, cost, mincut) OR EMPTY SET .. literalinclude:: doc-stoerWagner.queries :start-after: -- q1 :end-before: -- q2 Parameters ------------------------------------------------------------------------------- =================== ====================== ========= ================================================= Parameter Type Default Description =================== ====================== ========= ================================================= **edges_sql** ``TEXT`` SQL query as described above. =================== ====================== ========= ================================================= Inner query ------------------------------------------------------------------------------- :edges_sql: an SQL query, which should return a set of rows with the following columns: ================= =================== ======== ================================================= Column Type Default Description ================= =================== ======== ================================================= **id** ``ANY-INTEGER`` Identifier of the edge. **source** ``ANY-INTEGER`` Identifier of the first end point vertex of the edge. **target** ``ANY-INTEGER`` Identifier of the second end point vertex of the edge. **cost** ``ANY-NUMERICAL`` Weight of the edge `(source, target)` - When negative: edge `(source, target)` does not exist, therefore it's not part of the graph. **reverse_cost** ``ANY-NUMERICAL`` -1 Weight of the edge `(target, source)`, - When negative: edge `(target, source)` does not exist, therefore it's not part of the graph. ================= =================== ======== ================================================= Where: :ANY-INTEGER: SMALLINT, INTEGER, BIGINT :ANY-NUMERICAL: SMALLINT, INTEGER, BIGINT, REAL, FLOAT Result Columns ------------------------------------------------------------------------------- Returns set of ``(seq, edge, cost, mincut)`` =============== =========== ============================================================ Column Type Description =============== =========== ============================================================ **seq** ``INT`` Sequential value starting from **1**. **edge** ``BIGINT`` Edges which divides the set of vertices into two. **cost** ``FLOAT`` Cost to traverse of edge. **mincut** ``FLOAT`` Min-cut weight of a undirected graph. =============== =========== ============================================================ Additional Example: ------------------------------------------------------------------------------- .. literalinclude:: doc-stoerWagner.queries :start-after: -- q2 :end-before: -- q3 Use pgr_connectedComponents( ) function in query: .. literalinclude:: doc-stoerWagner.queries :start-after: -- q3 :end-before: -- q4 See Also ------------------------------------------------------------------------------- * https://en.wikipedia.org/wiki/Stoer%E2%80%93Wagner_algorithm * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/pickDeliver/000077500000000000000000000000001414350551100165405ustar00rootroot00000000000000pgrouting-3.3.0/doc/pickDeliver/CMakeLists.txt000066400000000000000000000005461414350551100213050ustar00rootroot00000000000000 SET(LOCAL_FILES pgr_pickDeliverEuclidean.rst pgr_pickDeliver.rst VRP-category.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/pickDeliver/VRP-category.rst000066400000000000000000000503421414350551100215600ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.2 `__ `3.1 `__) `3.0 `__ Vehicle Routing Functions - Category (Experimental) =============================================================================== .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. index experimental from here * Pickup and delivery problem - :doc:`pgr_pickDeliver` - Pickup & Delivery using a Cost Matrix - :doc:`pgr_pickDeliverEuclidean` - Pickup & Delivery with Euclidean distances * Distribution problem - :doc:`pgr_vrpOneDepot` - From a single depot, distributes orders .. index experimental to here .. contents:: .. toctree:: :hidden: pgr_pickDeliver pgr_pickDeliverEuclidean pgr_vrpOneDepot Introduction ------------------------------------------------------------------------------- Vehicle Routing Problems `VRP` are **NP-hard** optimization problem, it generalises the travelling salesman problem (TSP). - The objective of the VRP is to minimize the total route cost. - There are several variants of the VRP problem, **pgRouting does not try to implement all variants.** Characteristics ............................................................................... - Capacitated Vehicle Routing Problem `CVRP` where The vehicles have limited carrying capacity of the goods. - Vehicle Routing Problem with Time Windows `VRPTW` where the locations have time windows within which the vehicle's visits must be made. - Vehicle Routing Problem with Pickup and Delivery `VRPPD` where a number of goods need to be moved from certain pickup locations to other delivery locations. .. Rubric:: Limitations - No multiple time windows for a location. - Less vehicle used is considered better. - Less total duration is better. - Less wait time is better. Pick & Delivery ------------------------------------------------------------------------------- Problem: `CVRPPDTW` Capacitated Pick and Delivery Vehicle Routing problem with Time Windows - Times are relative to `0` - The vehicles - have start and ending service duration times. - have opening and closing times for the start and ending locations. - have a capacity. - The orders - Have pick up and delivery locations. - Have opening and closing times for the pickup and delivery locations. - Have pickup and delivery duration service times. - have a demand request for moving goods from the pickup location to the delivery location. - Time based calculations: - Travel time between customers is :math:`distance / speed` - Pickup and delivery order pair is done by the same vehicle. - A pickup is done before the delivery. Parameters ------------------------------------------------------------------------------- Pick & deliver ............................................................................... Both implementations use the following same parameters: .. pd_parameters_start ================= ================== ========= ================================================= Column Type Default Description ================= ================== ========= ================================================= **orders_sql** ``TEXT`` `Pick & Deliver Orders SQL`_ query containing the orders to be processed. **vehicles_sql** ``TEXT`` `Pick & Deliver Vehicles SQL`_ query containing the vehicles to be used. **factor** ``NUMERIC`` 1 (Optional) Travel time multiplier. See :ref:`pd_factor` **max_cycles** ``INTEGER`` 10 (Optional) Maximum number of cycles to perform on the optimization. **initial_sol** ``INTEGER`` 4 (Optional) Initial solution to be used. - ``1`` One order per truck - ``2`` Push front order. - ``3`` Push back order. - ``4`` Optimize insert. - ``5`` Push back order that allows more orders to be inserted at the back - ``6`` Push front order that allows more orders to be inserted at the front ================= ================== ========= ================================================= .. pd_parameters_end The non euclidean implementation, additionally has: ================= ================== ================================================= Column Type Description ================= ================== ================================================= **matrix_sql** ``TEXT`` `Pick & Deliver Matrix SQL`_ query containing the distance or travel times. ================= ================== ================================================= Inner Queries ------------------------------------------------------------------------------- - `Pick & Deliver Orders SQL`_ - `Pick & Deliver Vehicles SQL`_ - `Pick & Deliver Matrix SQL`_ .. rubric:: return columns - :ref:`Description of return columns ` - :ref:`Description of the return columns for Euclidean version ` .. see include/c_types/pickDeliver/pickDeliveryOrders_t.h documentation Pick & Deliver Orders SQL ......................................................................................... In general, the columns for the orders SQL is the same in both implementation of pick and delivery: .. pd_orders_sql_general_start ================ =================== =========== ================================================ Column Type Default Description ================ =================== =========== ================================================ **id** |ANY-INTEGER| Identifier of the pick-delivery order pair. **demand** |ANY-NUMERICAL| Number of units in the order **p_open** |ANY-NUMERICAL| The time, relative to 0, when the pickup location opens. **p_close** |ANY-NUMERICAL| The time, relative to 0, when the pickup location closes. **d_service** |ANY-NUMERICAL| 0 The duration of the loading at the pickup location. **d_open** |ANY-NUMERICAL| The time, relative to 0, when the delivery location opens. **d_close** |ANY-NUMERICAL| The time, relative to 0, when the delivery location closes. **d_service** |ANY-NUMERICAL| 0 The duration of the loading at the delivery location. ================ =================== =========== ================================================ .. pd_orders_sql_general_end .. pd_orders_sql_matrix_start For the non euclidean implementation, the starting and ending identifiers are needed: ================== =================== ================================================ Column Type Description ================== =================== ================================================ **p_node_id** |ANY-INTEGER| The node identifier of the pickup, must match a node identifier in the matrix table. **d_node_id** |ANY-INTEGER| The node identifier of the delivery, must match a node identifier in the matrix table. ================== =================== ================================================ .. pd_orders_sql_matrix_end .. pd_orders_euclidean_sql_start For the euclidean implementation, pick up and delivery :math:`(x,y)` locations are needed: ================ =================== ================================================ Column Type Description ================ =================== ================================================ **p_x** |ANY-NUMERICAL| :math:`x` value of the pick up location **p_y** |ANY-NUMERICAL| :math:`y` value of the pick up location **d_x** |ANY-NUMERICAL| :math:`x` value of the delivery location **d_y** |ANY-NUMERICAL| :math:`y` value of the delivery location ================ =================== ================================================ .. pd_orders_euclidean_sql_end .. see include/c_types/pickDeliver/vehicle_t.h documentation .. _pd_vehicle_sql: Pick & Deliver Vehicles SQL ......................................................................................... In general, the columns for the vehicles_sql is the same in both implementation of pick and delivery: .. pd_vehicle_sql_general_start ================== =================== ================ ================================================ Column Type Default Description ================== =================== ================ ================================================ **id** |ANY-INTEGER| Identifier of the pick-delivery order pair. **capacity** |ANY-NUMERICAL| Number of units in the order **speed** |ANY-NUMERICAL| `1` Average speed of the vehicle. **start_open** |ANY-NUMERICAL| The time, relative to 0, when the starting location opens. **start_close** |ANY-NUMERICAL| The time, relative to 0, when the starting location closes. **start_service** |ANY-NUMERICAL| `0` The duration of the loading at the starting location. **end_open** |ANY-NUMERICAL| `start_open` The time, relative to 0, when the ending location opens. **end_close** |ANY-NUMERICAL| `start_close` The time, relative to 0, when the ending location closes. **end_service** |ANY-NUMERICAL| `start_service` The duration of the loading at the ending location. ================== =================== ================ ================================================ .. pd_vehicle_sql_general_end .. pd_vehicle_sql_matrix_start For the non euclidean implementation, the starting and ending identifiers are needed: ================== =================== ================ ================================================ Column Type Default Description ================== =================== ================ ================================================ **start_node_id** |ANY-INTEGER| The node identifier of the starting location, must match a node identifier in the matrix table. **end_node_id** |ANY-INTEGER| `start_node_id` The node identifier of the ending location, must match a node identifier in the matrix table. ================== =================== ================ ================================================ .. pd_vehicle_sql_matrix_end .. pd_vehicle_sql_euclidean_start For the euclidean implementation, starting and ending :math:`(x,y)` locations are needed: ================== =================== ================ ================================================ Column Type Default Description ================== =================== ================ ================================================ **start_x** |ANY-NUMERICAL| :math:`x` value of the coordinate of the starting location. **start_y** |ANY-NUMERICAL| :math:`y` value of the coordinate of the starting location. **end_x** |ANY-NUMERICAL| `start_x` :math:`x` value of the coordinate of the ending location. **end_y** |ANY-NUMERICAL| `start_y` :math:`y` value of the coordinate of the ending location. ================== =================== ================ ================================================ .. pd_vehicle_sql_euclidean_end Pick & Deliver Matrix SQL ......................................................................................... .. TODO .. warning:: TODO Results ------------------------------------------------------------------------------- .. OUT seq INTEGER, OUT vehicle_seq INTEGER, OUT vehicle_id BIGINT, OUT stop_seq INTEGER, OUT order_id BIGINT, OUT stop_type INT, OUT cargo FLOAT, OUT travel_time FLOAT, OUT arrival_time FLOAT, OUT wait_time FLOAT, OUT service_time FLOAT, OUT departure_time FLOAT .. _return_vrp_matrix_start: Description of the result (TODO Disussion: Euclidean & Matrix) ......................................................................................... .. todo:: fix when everything below is fixed .. code-block:: none RETURNS SET OF (seq, vehicle_seq, vehicle_id, stop_seq, stop_type, travel_time, arrival_time, wait_time, service_time, departure_time) UNION (summary row) =================== ============= ================================================= Column Type Description =================== ============= ================================================= **seq** INTEGER Sequential value starting from **1**. **vehicle_seq** INTEGER Sequential value starting from **1** for current vehicles. The :math:`n_{th}` vehicle in the solution. **vehicle_id** BIGINT Current vehicle identifier. **stop_seq** INTEGER Sequential value starting from **1** for the stops made by the current vehicle. The :math:`m_{th}` stop of the current vehicle. **stop_type** INTEGER Kind of stop location the vehicle is at: - ``1``: Starting location - ``2``: Pickup location - ``3``: Delivery location - ``6``: Ending location **order_id** BIGINT Pickup-Delivery order pair identifier. - ``-1``: When no order is involved on the current stop location. **cargo** FLOAT Cargo units of the vehicle when leaving the stop. **travel_time** FLOAT Travel time from previous ``stop_seq`` to current ``stop_seq``. - ``0`` When ``stop_type = 1`` **arrival_time** FLOAT Previous ``departure_time`` plus current ``travel_time``. **wait_time** FLOAT Time spent waiting for current `location` to open. **service_time** FLOAT Service time at current `location`. **departure_time** FLOAT :math:`arrival\_time + wait\_time + service\_time`. - When ``stop_type = 6`` has the `total_time` used for the current vehicle. =================== ============= ================================================= .. rubric:: Summary Row .. warning:: TODO: Review the summary =================== ============= ================================================= Column Type Description =================== ============= ================================================= **seq** INTEGER Continues the Sequential value **vehicle_seq** INTEGER ``-2`` to indicate is a summary row **vehicle_id** BIGINT `Total Capacity Violations` in the solution. **stop_seq** INTEGER `Total Time Window Violations` in the solution. **stop_type** INTEGER ``-1`` **order_id** BIGINT ``-1`` **cargo** FLOAT ``-1`` **travel_time** FLOAT `total_travel_time` The sum of all the `travel_time` **arrival_time** FLOAT ``-1`` **wait_time** FLOAT `total_waiting_time` The sum of all the `wait_time` **service_time** FLOAT `total_service_time` The sum of all the `service_time` **departure_time** FLOAT `total_solution_time` = :math:`total\_travel\_time + total\_wait\_time + total\_service\_time`. =================== ============= ================================================= .. return_vrp_matrix_end .. _return_vrp_euclidean_start: .. include:: VRP-category.rst :start-after: return_vrp_matrix_start: :end-before: return_vrp_matrix_end .. return_vrp_euclidean_end .. include:: pgRouting-concepts.rst :start-after: where_definition_starts :end-before: where_definition_ends Handling Parameters ------------------------------------------------------------------------------- To define a problem, several considerations have to be done, to get consistent results. This section gives an insight of how parameters are to be considered. - `Capacity and Demand Units Handling`_ - `Locations`_ - `Time Handling`_ - `Factor Handling`_ Capacity and Demand Units Handling ............................................................................... The `capacity` of a vehicle, can be measured in: - Volume units like :math:`m^3`. - Area units like :math:`m^2` (when no stacking is allowed). - Weight units like :math:`kg`. - Number of boxes that fit in the vehicle. - Number of seats in the vehicle The `demand` request of the pickup-deliver orders must use the same units as the units used in the vehicle's `capacity`. To handle problems like: 10 (equal dimension) boxes of apples and 5 kg of feathers that are to be transported (not packed in boxes). If the vehicle's `capacity` is measured by `boxes`, a conversion of `kg of feathers` to `equivalent number of boxes` is needed. If the vehicle's `capacity` is measured by `kg`, a conversion of `box of apples` to `equivalent number of kg` is needed. Showing how the 2 possible conversions can be done Let: - :math:`f_boxes`: number of boxes that would be used for `1` kg of feathers. - :math:`a_weight`: weight of `1` box of apples. =============== ====================== ================== Capacity Units apples feathers =============== ====================== ================== boxes 10 :math:`5 * f\_boxes` kg :math:`10 * a\_weight` 5 =============== ====================== ================== Locations ............................................................................... - When using the Euclidean signatures: - The vehicles have :math:`(x, y)` pairs for start and ending locations. - The orders Have :math:`(x, y)` pairs for pickup and delivery locations. - When using a matrix: - The vehicles have identifiers for the start and ending locations. - The orders have identifiers for the pickup and delivery locations. - All the identifiers are indices to the given matrix. Time Handling ............................................................................... The times are relative to 0 Suppose that a vehicle's driver starts the shift at 9:00 am and ends the shift at 4:30 pm and the service time duration is 10 minutes with 30 seconds. All time units have to be converted ============ ================= ==================== ===================== ========= Meaning of 0 time units 9:00 am 4:30 pm 10 min 30 secs ============ ================= ==================== ===================== ========= 0:00 am hours 9 16.5 :math:`10.5 / 60 = 0.175` 9:00 am hours 0 7.5 :math:`10.5 / 60 = 0.175` 0:00 am minutes :math:`9*60 = 54` :math:`16.5*60 = 990` 10.5 9:00 am minutes 0 :math:`7.5*60 = 540` 10.5 ============ ================= ==================== ===================== ========= .. _pd_factor: Factor Handling ............................................................................... .. TODO .. warning:: TODO See Also ------------------------------------------------------------------------------- * https://en.wikipedia.org/wiki/Vehicle_routing_problem * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/pickDeliver/pgr_pickDeliver.rst000066400000000000000000000156051414350551100224120ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__) `3.0 `__ pgr_pickDeliver - Experimental =============================================================================== ``pgr_pickDeliver`` - Pickup and delivery Vehicle Routing Problem .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.0.0 * New **experimental** function Synopsis ------------------------------------------------------------------------------- Problem: Distribute and optimize the pickup-delivery pairs into a fleet of vehicles. - Optimization problem is NP-hard. - pickup and Delivery with time windows. - All vehicles are equal. - Same Starting location. - Same Ending location which is the same as Starting location. - All vehicles travel at the same speed. - A customer is for doing a pickup or doing a deliver. - has an open time. - has a closing time. - has a service time. - has an (x, y) location. - There is a customer where to deliver a pickup. - travel time between customers is distance / speed - pickup and delivery pair is done with the same vehicle. - A pickup is done before the delivery. Characteristics ------------------------------------------------------------------------------- - All trucks depart at time 0. - No multiple time windows for a location. - Less vehicle used is considered better. - Less total duration is better. - Less wait time is better. - the algorithm will raise an exception when - If there is a pickup-deliver pair than violates time window - The speed, max_cycles, ma_capacity have illegal values - Six different initial will be optimized - the best solution found will be result .. index:: single: pgr_pickDeliver - Experimental on v3.0 Signature ------------------------------------------------------------------------------- .. TEXT, -- orders_sql TEXT, -- vehicles_sql TEXT, -- matrix_cell_sql factor FLOAT DEFAULT 1, max_cycles INTEGER DEFAULT 10, initial_sol INTEGER DEFAULT 4, .. OUT seq INTEGER, OUT vehicle_seq INTEGER, OUT vehicle_id BIGINT, OUT stop_seq INTEGER, OUT stop_type INTEGER, OUT order_id BIGINT, OUT cargo FLOAT, OUT travel_time FLOAT, OUT arrival_time FLOAT, OUT wait_time FLOAT, OUT service_time FLOAT, OUT departure_time FLOAT .. code-block:: none pgr_pickDeliver(orders_sql, vehicles_sql, matrix_sql [, factor, max_cycles, initial_sol]) RETURNS SET OF (seq, vehicle_number, vehicle_id, stop, order_id, stop_type, cargo, travel_time, arrival_time, wait_time, service_time, departure_time) Parameters ............................................................................... The parameters are: .. code-block:: none orders_sql, vehicles_sql, matrix_sql [, factor, max_cycles, initial_sol] ================= ================== ========= ================================================= Column Type Default Description ================= ================== ========= ================================================= **orders_sql** ``TEXT`` `Pick & Deliver Orders SQL`_ query contianing the orders to be processed. **vehicles_sql** ``TEXT`` `Pick & Deliver Vehicles SQL`_ query containing the vehicles to be used. **matrix_sql** ``TEXT`` `Pick & Deliver Matrix SQL`_ query containing the distance or travel times. **factor** ``NUMERIC`` 1 Travel time multiplier. See :ref:`pd_factor` **max_cycles** ``INTEGER`` 10 Maximum number of cycles to perform on the optimization. **initial_sol** ``INTEGER`` 4 Initial solution to be used. - ``1`` One order per truck - ``2`` Push front order. - ``3`` Push back order. - ``4`` Optimize insert. - ``5`` Push back order that allows more orders to be inserted at the back - ``6`` Push front order that allows more orders to be inserted at the front ================= ================== ========= ================================================= Pick & Deliver Orders SQL ................................................................................ A `SELECT` statement that returns the following columns: .. code-block:: none id, demand p_node_id, p_open, p_close, [p_service, ] d_node_id, d_open, d_close, [d_service, ] where: .. include:: VRP-category.rst :start-after: pd_orders_sql_general_start :end-before: pd_orders_sql_general_end .. include:: VRP-category.rst :start-after: pd_orders_sql_matrix_start :end-before: pd_orders_sql_matrix_end Pick & Deliver Vehicles SQL ......................................................................................... A `SELECT` statement that returns the following columns: .. code-block:: none id, capacity start_node_id, start_open, start_close [, start_service, ] [ end_node_id, end_open, end_close, end_service ] where: .. include:: VRP-category.rst :start-after: pd_vehicle_sql_general_start :end-before: pd_vehicle_sql_general_end .. include:: VRP-category.rst :start-after: pd_vehicle_sql_matrix_start :end-before: pd_vehicle_sql_matrix_end .. end of vehicles_sql Pick & Deliver Matrix SQL ......................................................................................... A `SELECT` statement that returns the following columns: .. TODO .. warning:: TODO .. include:: pgRouting-concepts.rst :start-after: where_definition_starts :end-before: where_definition_ends Example ------------------------------------------------------------------------------- .. TODO This example use the following data: TODO put link .. literalinclude:: doc-pickDeliver.queries :start-after: --q2 :end-before: --q3 See Also ------------------------------------------------------------------------------- * :doc:`VRP-category` * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/pickDeliver/pgr_pickDeliverEuclidean.rst000066400000000000000000000135231414350551100242210ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ current(`3.1 `__) `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ pgr_pickDeliverEuclidean - Experimental =============================================================================== ``pgr_pickDeliverEuclidean`` - Pickup and delivery Vehicle Routing Problem .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.0.0 * Replaces ``pgr_gsoc_vrppdtw`` * New **experimental** function Synopsis ------------------------------------------------------------------------------- Problem: Distribute and optimize the pickup-delivery pairs into a fleet of vehicles. - Optimization problem is NP-hard. - Pickup and Delivery: - capacitated - with time windows. - The vehicles - have (x, y) start and ending locations. - have a start and ending service times. - have opening and closing times for the start and ending locations. - An order is for doing a pickup and a a deliver. - has (x, y) pickup and delivery locations. - has opening and closing times for the pickup and delivery locations. - has a pickup and deliver service times. - There is a customer where to deliver a pickup. - travel time between customers is distance / speed - pickup and delivery pair is done with the same vehicle. - A pickup is done before the delivery. Characteristics ------------------------------------------------------------------------------- - No multiple time windows for a location. - Less vehicle used is considered better. - Less total duration is better. - Less wait time is better. - Six different optional different initial solutions - the best solution found will be result .. index:: single: pgr_pickDeliverEuclidean - Experimental on 3.0 Signature ------------------------------------------------------------------------------- .. TEXT, -- orders_sql TEXT, -- vehicles_sql factor FLOAT DEFAULT 1, max_cycles INTEGER DEFAULT 10, initial_sol INTEGER DEFAULT 4, .. OUT seq INTEGER, OUT vehicle_seq INTEGER, OUT vehicle_id BIGINT, OUT stop_seq INTEGER, OUT stop_type INTEGER, OUT order_id BIGINT, OUT cargo FLOAT, OUT travel_time FLOAT, OUT arrival_time FLOAT, OUT wait_time FLOAT, OUT service_time FLOAT, OUT departure_time FLOAT .. code-block:: none pgr_pickDeliverEuclidean(orders_sql, vehicles_sql [,factor, max_cycles, initial_sol]) RETURNS SET OF (seq, vehicle_seq, vehicle_id, stop_seq, stop_type, order_id, cargo, travel_time, arrival_time, wait_time, service_time, departure_time) Parameters ............................................................................... The parameters are: .. code-block:: none orders_sql, vehicles_sql [,factor, max_cycles, initial_sol] Where: .. include:: VRP-category.rst :start-after: pd_parameters_start :end-before: pd_parameters_end Pick & Deliver Orders SQL ............................................................................... A `SELECT` statement that returns the following columns: .. code-block:: none id, demand p_x, p_y, p_open, p_close, [p_service, ] d_x, d_y, d_open, d_close, [d_service, ] Where: .. include:: VRP-category.rst :start-after: pd_orders_sql_general_start :end-before: pd_orders_sql_general_end .. include:: VRP-category.rst :start-after: pd_orders_euclidean_sql_start :end-before: pd_orders_euclidean_sql_end Pick & Deliver Vehicles SQL ......................................................................................... A `SELECT` statement that returns the following columns: .. code-block:: none id, capacity start_x, start_y, start_open, start_close [, start_service, ] [ end_x, end_y, end_open, end_close, end_service ] where: .. include:: VRP-category.rst :start-after: pd_vehicle_sql_general_start :end-before: pd_vehicle_sql_general_end .. include:: VRP-category.rst :start-after: pd_vehicle_sql_euclidean_start :end-before: pd_vehicle_sql_euclidean_end .. include:: VRP-category.rst :start-after: return_vrp_euclidean_start: :end-before: return_vrp_euclidean_end .. include:: pgRouting-concepts.rst :start-after: where_definition_starts :end-before: where_definition_ends Example ------------------------------------------------------------------------------- .. TODO This example use the following data: TODO put link .. literalinclude:: ./doc-pickDeliverEuclidean.queries :start-after: --q1 :end-before: --q2 See Also ------------------------------------------------------------------------------- * :doc:`VRP-category` * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/planar/000077500000000000000000000000001414350551100155545ustar00rootroot00000000000000pgrouting-3.3.0/doc/planar/CMakeLists.txt000066400000000000000000000005751414350551100203230ustar00rootroot00000000000000 SET(LOCAL_FILES pgr_isPlanar.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() add_subdirectory("images") set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) set(PROJECT_IMG_FILES ${PROJECT_IMG_FILES} PARENT_SCOPE) 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**************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: http://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ pgr_isPlanar - Experimental =============================================================================== ``pgr_isPlanar`` — Returns a boolean depending upon the planarity of the graph. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/boyer_myrvold.html Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.2.0 * New **experimental** function Description ------------------------------------------------------------------------------- A graph is planar if it can be drawn in two-dimensional space with no two of its edges crossing. Such a drawing of a planar graph is called a plane drawing. Every planar graph also admits a straight-line drawing, which is a plane drawing where each edge is represented by a line segment. When a graph has :math:`K_5` or :math:`K_{3,3}` as subgraph then the graph is not planar. The main characteristics are: - This implementation use the Boyer-Myrvold Planarity Testing. - It will return a boolean value depending upon the planarity of the graph. - Applicable only for **undirected** graphs. - The algorithm does not considers traversal costs in the calculations. - Running time: :math:`O(|V|)` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. index:: single: isPlanar - Experimental on v3.2 .. code-block:: none pgr_isPlanar(Edges SQL) RETURNS BOOLEAN .. literalinclude:: doc-pgr_isPlanar.queries :start-after: -- q1 :end-before: -- q2 Parameters ------------------------------------------------------------------------------- =================== ====================== ========= ================================================= Parameter Type Default Description =================== ====================== ========= ================================================= **Edges SQL** ``TEXT`` SQL query as described below. =================== ====================== ========= ================================================= Inner query ------------------------------------------------------------------------------- :Edges SQL: an SQL query, which should return a set of rows with the following columns: ================= =================== ======== ================================================= Column Type Default Description ================= =================== ======== ================================================= **id** ``ANY-INTEGER`` Identifier of the edge. **source** ``ANY-INTEGER`` Identifier of the first end point vertex of the edge. **target** ``ANY-INTEGER`` Identifier of the second end point vertex of the edge. **cost** ``ANY-NUMERICAL`` - When positive: edge `(target, source)` is part of the graph. - When negative: edge `(target, source)` is not part of the graph. **reverse_cost** ``ANY-NUMERICAL`` -1 - When positive: edge `(target, source)` is part of the graph. - When negative: edge `(target, source)` is not part of the graph. ================= =================== ======== ================================================= Where: :ANY-INTEGER: SMALLINT, INTEGER, BIGINT :ANY-NUMERICAL: SMALLINT, INTEGER, BIGINT, REAL, FLOAT Result Columns ------------------------------------------------------------------------------- Returns a boolean ``(pgr_isplanar)`` ================= =========== ============================================================ Column Type Description ================= =========== ============================================================ **pgr_isplanar** ``BOOLEAN`` - `true` when the graph is planar. - `false` when the graph is not planar. ================= =========== ============================================================ Additional Example: ------------------------------------------------------------------------------- The following edges will make the subgraph with vertices {3, 4, 6, 9, 16} a :math:`K_5` graph. .. literalinclude:: doc-pgr_isPlanar.queries :start-after: -- q2 :end-before: -- q3 The new graph is not planar because it has a :math:`K_5` subgraph. Edges in blue represent :math:`K_5` subgraph. .. image:: images/nonPlanar.png :scale: 50% .. literalinclude:: doc-pgr_isPlanar.queries :start-after: -- q3 :end-before: -- q4 See Also ------------------------------------------------------------------------------- * https://www.boost.org/libs/graph/doc/boyer_myrvold.html * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/spanningTree/000077500000000000000000000000001414350551100167345ustar00rootroot00000000000000pgrouting-3.3.0/doc/spanningTree/CMakeLists.txt000066400000000000000000000010351414350551100214730ustar00rootroot00000000000000 SET(LOCAL_FILES #pgr_randomSpanTree.rst spanningTree-family.rst kruskal-family.rst prim-family.rst pgr_kruskal.rst pgr_kruskalDD.rst pgr_kruskalDFS.rst pgr_kruskalBFS.rst pgr_prim.rst pgr_primDD.rst pgr_primDFS.rst pgr_primBFS.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/spanningTree/kruskal-family.rst000066400000000000000000000051121414350551100224200ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ Kruskal - Family of functions =============================================================================== .. index from here * :doc:`pgr_kruskal` * :doc:`pgr_kruskalBFS` * :doc:`pgr_kruskalDD` * :doc:`pgr_kruskalDFS` .. index to here .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/kruskal_min_spanning_tree.html Boost Graph Inside .. toctree:: :hidden: pgr_kruskal pgr_kruskalBFS pgr_kruskalDD pgr_kruskalDFS Description ------------------------------------------------------------------------------- Kruskal's algorithm is a greedy minimum spanning tree algorithm that in each cycle finds and adds the edge of the least possible weight that connects any two trees in the forest. **The main Characteristics are:** .. kruskal-description-start - It's implementation is only on **undirected** graph. - Process is done only on edges with positive costs. - The total weight of all the edges in the tree or forest is minimized. - When the graph is connected - The resulting edges make up a tree - When the graph is not connected, - Finds a minimum spanning tree for each connected component. - The resulting edges make up a forest. - Kruskal's running time: :math:`O(E * log E)` .. kruskal-description-end Inner query ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end See Also ------------------------------------------------------------------------------- * :doc:`spanningTree-family` * `Boost: Kruskal's algorithm documentation `__ * `Wikipedia: Kruskal's algorithm `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/spanningTree/pgr_kruskal.rst000066400000000000000000000071341414350551100220170ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_kruskal =============================================================================== ``pgr_kruskal`` — Returns the minimum spanning tree of graph using Kruskal algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/kruskal_min_spanning_tree.html Boost Graph Inside .. rubric:: Availability * Version 3.0.0 * New **Official** function Description ------------------------------------------------------------------------------- This algorithm finds the minimum spanning forest in a possibly disconnected graph using Kruskal's algorithm. **The main Characteristics are:** .. include:: kruskal-family.rst :start-after: kruskal-description-start :end-before: kruskal-description-end - EMPTY SET is returned when there are no edges in the graph. Signatures ------------------------------------------------------------------------------- .. index:: single: kruskal .. rubric:: Summary .. code-block:: none pgr_kruskal(edges_sql) RETURNS SET OF (seq, edge, cost) OR EMPTY SET :Example: Minimum Spanning Forest .. literalinclude:: doc-pgr_kruskal.queries :start-after: -- q1 :end-before: -- q2 .. mst_information_start Parameters ------------------------------------------------------------------------------- =================== ====================== ================================================= Parameter Type Description =================== ====================== ================================================= **Edges SQL** ``TEXT`` SQL query described in `Inner query`_. =================== ====================== ================================================= Inner query ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- Returns SET OF ``(edge, cost)`` =============== =========== ==================================================== Column Type Description =============== =========== ==================================================== **edge** ``BIGINT`` Identifier of the edge. **cost** ``FLOAT`` Cost to traverse the edge. =============== =========== ==================================================== .. mst_information_end See Also ------------------------------------------------------------------------------- * :doc:`spanningTree-family` * :doc:`kruskal-family` * The queries use the :doc:`sampledata` network. * `Boost: Kruskal's algorithm documentation `__ * `Wikipedia: Kruskal's algorithm `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/spanningTree/pgr_kruskalBFS.rst000066400000000000000000000067121414350551100223530ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_kruskalBFS =============================================================================== ``pgr_kruskalBFS`` — Prim algorithm for Minimum Spanning Tree with Depth First Search ordering. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/kruskal_min_spanning_tree.html Boost Graph Inside .. rubric:: Availability * Version 3.0.0 * New **Official** function Description ------------------------------------------------------------------------------- Visits and extracts the nodes information in Breath First Search ordering of the Minimum Spanning Tree created using Prims's algorithm. **The main Characteristics are:** .. include:: kruskal-family.rst :start-after: kruskal-description-start :end-before: kruskal-description-end - Returned tree nodes from a root vertex are on Breath First Search order - Breath First Search Running time: :math:`O(E + V)` Signatures ------------------------------------------------------------------------------- .. code-block:: none pgr_kruskalBFS(Edges SQL, Root vid [, max_depth]) pgr_kruskalBFS(Edges SQL, Root vids [, max_depth]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) .. index:: single: kruskalBFS(Single vertex) Single vertex ............................................................................... .. code-block:: none pgr_kruskalBFS(Edges SQL, Root vid [, max_depth]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) :Example: The Minimum Spanning Tree having as root vertex :math:`2` .. literalinclude:: doc-pgr_kruskalBFS.queries :start-after: --q1 :end-before: --q2 .. index:: single: kruskalBFS(Multiple vertices) Multiple vertices ............................................................................... .. code-block:: none pgr_kruskalBFS(Edges SQL, Root vids [, max_depth]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) :Example: The Minimum Spanning Tree starting on vertices :math:`\{13, 2\}` with :math:`depth <= 3` .. literalinclude:: doc-pgr_kruskalBFS.queries :start-after: --q2 :end-before: --q3 .. Parameters, Inner query & result columns .. include:: pgr_kruskalDFS.rst :start-after: mstfs-information-start :end-before: mstfs-information-end See Also ------------------------------------------------------------------------------- * :doc:`spanningTree-family` * :doc:`kruskal-family` * The queries use the :doc:`sampledata` network. * `Boost: Kruskal's algorithm documentation `__ * `Wikipedia: Kruskal's algorithm `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/spanningTree/pgr_kruskalDD.rst000066400000000000000000000143701414350551100222270ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_kruskalDD =============================================================================== ``pgr_kruskalDD`` — Catchament nodes using Kruskal's algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/kruskal_min_spanning_tree.html Boost Graph Inside .. rubric:: Availability * Version 3.0.0 * New **Official** function Description ------------------------------------------------------------------------------- Using Kruskal's algorithm, extracts the nodes that have aggregate costs less than or equal to the value ``Distance`` from a **root** vertex (or vertices) within the calculated minimum spanning tree. **The main Characteristics are:** .. include:: kruskal-family.rst :start-after: kruskal-description-start :end-before: kruskal-description-end - Returned tree nodes from a root vertex are on Depth First Search order. - Depth First Search running time: :math:`O(E + V)` Signatures ------------------------------------------------------------------------------- .. code-block:: none pgr_kruskalDD(edges_sql, root_vid, distance) pgr_kruskalDD(edges_sql, root_vids, distance) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) .. index:: single: kruskalDD(Single vertex) Single vertex ............................................................................... .. code-block:: none pgr_kruskalDD(edges_sql, root_vid, distance) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) :Example: The Minimum Spanning Tree starting on vertex :math:`2` with :math:`agg\_cost <= 3.5` .. literalinclude:: doc-pgr_kruskalDD.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: kruskalDD(Multiple vertices) Multiple vertices ............................................................................... .. code-block:: none pgr_kruskalDD(edges_sql, root_vids, distance) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) :Example: The Minimum Spanning Tree starting on vertices :math:`\{13, 2\}` with :math:`agg\_cost <= 3.5`; .. literalinclude:: doc-pgr_kruskalDD.queries :start-after: -- q2 :end-before: -- q3 .. mstDD-information-start Parameters ------------------------------------------------------------------------------- =================== ====================== ================================================= Parameter Type Description =================== ====================== ================================================= **Edges SQL** ``TEXT`` SQL query described in `Inner query`_. **Root vid** ``BIGINT`` Identifier of the root vertex of the tree. - Used on `Single vertex`_ - When :math:`0` gets the spanning forest starting in aleatory nodes for each tree. **Root vids** ``ARRAY[ANY-INTEGER]`` Array of identifiers of the root vertices. - Used on `Multiple vertices`_ - :math:`0` values are ignored - For optimization purposes, any duplicated value is ignored. **Distance** ``ANY-NUMERIC`` Upper limit for the inclusion of the node in the result. - When the value is Negative **throws error** =================== ====================== ================================================= Where: :ANY-INTEGER: SMALLINT, INTEGER, BIGINT :ANY-NUMERIC: SMALLINT, INTEGER, BIGINT, REAL, FLOAT, NUMERIC Inner query ------------------------------------------------------------------------------- .. rubric::edges_sql .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- .. result columns start Returns SET OF ``(seq, depth, start_vid, node, edge, cost, agg_cost)`` =============== =========== ==================================================== Column Type Description =============== =========== ==================================================== **seq** ``BIGINT`` Sequential value starting from :math:`1`. **depth** ``BIGINT`` Depth of the ``node``. - :math:`0` when ``node`` = ``start_vid``. **start_vid** ``BIGINT`` Identifier of the root vertex. - In `Multiple Vertices`_ results are in ascending order. **node** ``BIGINT`` Identifier of ``node`` reached using ``edge``. **edge** ``BIGINT`` Identifier of the ``edge`` used to arrive to ``node``. - :math:`-1` when ``node`` = ``start_vid``. **cost** ``FLOAT`` Cost to traverse ``edge``. **agg_cost** ``FLOAT`` Aggregate cost from ``start_vid`` to ``node``. =============== =========== ==================================================== .. result columns end .. mstDD-information-end See Also ------------------------------------------------------------------------------- * :doc:`spanningTree-family` * :doc:`kruskal-family` * The queries use the :doc:`sampledata` network. * `Boost: Kruskal's algorithm documentation `__ * `Wikipedia: Kruskal's algorithm `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/spanningTree/pgr_kruskalDFS.rst000066400000000000000000000132241414350551100223510ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_kruskalDFS =============================================================================== ``pgr_kruskalDFS`` — Kruskal algorithm for Minimum Spanning Tree with Depth First Search ordering. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/kruskal_min_spanning_tree.html Boost Graph Inside .. rubric:: Availability * Version 3.0.0 * New **Official** function Description ------------------------------------------------------------------------------- Visits and extracts the nodes information in Depth First Search ordering of the Minimum Spanning Tree created using Kruskal's algorithm. **The main Characteristics are:** .. include:: kruskal-family.rst :start-after: kruskal-description-start :end-before: kruskal-description-end - Returned tree nodes from a root vertex are on Depth First Search order - Depth First Search Running time: :math:`O(E + V)` Signatures ------------------------------------------------------------------------------- .. code-block:: none pgr_kruskalDFS(Edges SQL, Root vid [, max_depth]) pgr_kruskalDFS(Edges SQL, Root vids [, max_depth]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) .. index:: single: kruskalDFS(Single vertex) Single vertex ............................................................................... .. code-block:: none pgr_kruskalDFS(Edges SQL, Root vid [, max_depth]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) :Example: The Minimum Spanning Tree starting on vertex :math:`2` .. literalinclude:: doc-pgr_kruskalDFS.queries :start-after: --q1 :end-before: --q2 .. index:: single: kruskalDFS(Multiple vertices) Multiple vertices ............................................................................... .. code-block:: none pgr_kruskalDFS(Edges SQL, Root vids [, max_depth]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) :Example: The Minimum Spanning Tree starting on vertices :math:`\{13, 2\}` with :math:`depth <= 3` .. literalinclude:: doc-pgr_kruskalDFS.queries :start-after: --q2 :end-before: --q3 .. mstfs-information-start Parameters ------------------------------------------------------------------------------- =================== ====================== ================================================= Parameter Type Description =================== ====================== ================================================= **Edges SQL** ``TEXT`` SQL query described in `Inner query`_. **Root vid** ``BIGINT`` Identifier of the root vertex of the tree. - Used on `Single vertex`_ - When value is :math:`0` then gets the spanning forest starting in aleatory nodes for each tree in the forest. **Root vids** ``ARRAY[ANY-INTEGER]`` Array of identifiers of the root vertices. - Used on `Multiple vertices`_ - :math:`0` values are ignored - For optimization purposes, any duplicated value is ignored. =================== ====================== ================================================= Optional Parameters ............................................................................... =================== =========== =========================== ================================================= Parameter Type Default Description =================== =========== =========================== ================================================= **max_depth** ``BIGINT`` :math:`9223372036854775807` Upper limit for depth of node in the tree - When value is ``Negative`` then **throws error** =================== =========== =========================== ================================================= Inner query ------------------------------------------------------------------------------- .. rubric::Edges SQL .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: pgr_kruskalDD.rst :start-after: result columns start :end-before: result columns end .. mstfs-information-end See Also ------------------------------------------------------------------------------- * :doc:`spanningTree-family` * :doc:`kruskal-family` * The queries use the :doc:`sampledata` network. * `Boost: Kruskal's algorithm documentation `__ * `Wikipedia: Kruskal's algorithm `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/spanningTree/pgr_prim.rst000066400000000000000000000052011414350551100213030ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_prim =============================================================================== ``pgr_prim`` — Minimum spanning forest of graph using Prim algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/prim_minimum_spanning_tree.html Boost Graph Inside .. rubric:: Availability * Version 3.0.0 * New **Official** function .. rubric:: Support * **Supported versions:** current(`3.1 `__) `3.0 `__ Description ------------------------------------------------------------------------------- This algorithm finds the minimum spanning forest in a possibly disconnected graph using Prim's algorithm. **The main characteristics are:** .. include:: prim-family.rst :start-after: prim-description-start :end-before: prim-description-end - EMPTY SET is returned when there are no edges in the graph. Signatures ------------------------------------------------------------------------------- .. index:: single: prim .. rubric:: Summary .. code-block:: none pgr_prim(edges_sql) RETURNS SET OF (edge, cost) OR EMPTY SET :Example: Minimum Spanning Forest of a subgraph .. literalinclude:: doc-pgr_prim.queries :start-after: -- q1 :end-before: -- q2 .. parameters, inner query & result columns are the same as kruskal's .. include:: pgr_kruskal.rst :start-after: mst_information_start :end-before: mst_information_end See Also ------------------------------------------------------------------------------- * :doc:`spanningTree-family` * :doc:`prim-family` * The queries use the :doc:`sampledata` network. * `Boost: Prim's algorithm documentation `__ * `Wikipedia: Prim's algorithm `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/spanningTree/pgr_primBFS.rst000066400000000000000000000066501414350551100216470ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_primBFS =============================================================================== ``pgr_primBFS`` — Prim's algorithm for Minimum Spanning Tree with Depth First Search ordering. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/prim_minimum_spanning_tree.html Boost Graph Inside .. rubric:: Availability * Version 3.0.0 * New **Official** function Description ------------------------------------------------------------------------------- Visits and extracts the nodes information in Breath First Search ordering of the Minimum Spanning Tree created with Prims's algorithm. **The main Characteristics are:** .. include:: prim-family.rst :start-after: prim-description-start :end-before: prim-description-end - Returned tree nodes from a root vertex are on Breath First Search order - Breath First Search Running time: :math:`O(E + V)` Signatures ------------------------------------------------------------------------------- .. code-block:: none pgr_primBFS(Edges SQL, Root vid [, max_depth]) pgr_primBFS(Edges SQL, Root vids [, max_depth]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) .. index:: single: primBFS(Single vertex) Single vertex ............................................................................... .. code-block:: none pgr_primBFS(Edges SQL, Root vid [, max_depth]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) :Example: The Minimum Spanning Tree having as root vertex :math:`2` .. literalinclude:: doc-pgr_primBFS.queries :start-after: --q1 :end-before: --q2 .. index:: single: primBFS(Multiple vertices) Multiple vertices ............................................................................... .. code-block:: none pgr_primBFS(Edges SQL, Root vids [, max_depth]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) :Example: The Minimum Spanning Tree starting on vertices :math:`\{13, 2\}` with :math:`depth <= 3` .. literalinclude:: doc-pgr_primBFS.queries :start-after: --q2 :end-before: --q3 .. Parameters, Inner query & result columns are the same as kruskal .. include:: pgr_kruskalDFS.rst :start-after: mstfs-information-start :end-before: mstfs-information-end See Also ------------------------------------------------------------------------------- * :doc:`spanningTree-family` * :doc:`prim-family` * The queries use the :doc:`sampledata` network. * `Boost: Prim's algorithm documentation `__ * `Wikipedia: Prim's algorithm `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/spanningTree/pgr_primDD.rst000066400000000000000000000066271414350551100215300ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_primDD =============================================================================== ``pgr_primDD`` — Catchament nodes using Prim's algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/prim_minimum_spanning_tree.html Boost Graph Inside .. rubric:: Availability * Version 3.0.0 * New **Official** function Description ------------------------------------------------------------------------------- Using Prim algorithm, extracts the nodes that have aggregate costs less than or equal to the value ``Distance`` within the calculated minimum spanning tree. **The main Characteristics are:** .. include:: prim-family.rst :start-after: prim-description-start :end-before: prim-description-end - Returned tree nodes from a root vertex are on Depth First Search order. - Depth First Search running time: :math:`O(E + V)` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_prim(Edges SQL, root vid, distance) pgr_prim(Edges SQL, root vids, distance) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) .. index:: single: primDD(Single vertex) Single vertex ............................................................................... .. code-block:: none pgr_primDD(Edges SQL, root vid, distance) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) :Example: The Minimum Spanning Tree starting on vertex :math:`2` with :math:`agg\_cost <= 3.5` .. literalinclude:: doc-pgr_primDD.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: primDD(Multiple vertices) Multiple vertices ............................................................................... .. code-block:: none pgr_primDD(Edges SQL, root vids, distance) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) :Example: The Minimum Spanning Tree starting on vertices :math:`\{13, 2\}` with :math:`agg\_cost <= 3.5`; .. literalinclude:: doc-pgr_primDD.queries :start-after: -- q2 :end-before: -- q3 .. Parameters, Inner query & result columns .. include:: pgr_kruskalDD.rst :start-after: mstDD-information-start :end-before: mstDD-information-end See Also ------------------------------------------------------------------------------- * :doc:`spanningTree-family` * :doc:`prim-family` * The queries use the :doc:`sampledata` network. * `Boost: Prim's algorithm documentation `__ * `Wikipedia: Prim's algorithm `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/spanningTree/pgr_primDFS.rst000066400000000000000000000066111414350551100216460ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_primDFS =============================================================================== ``pgr_primDFS`` — Prim algorithm for Minimum Spanning Tree with Depth First Search ordering. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/prim_minimum_spanning_tree.html Boost Graph Inside .. rubric:: Availability * Version 3.0.0 * New **Official** function Description ------------------------------------------------------------------------------- Visits and extracts the nodes information in Depth First Search ordering of the Minimum Spanning Tree created using Prims's algorithm. **The main Characteristics are:** .. include:: prim-family.rst :start-after: prim-description-start :end-before: prim-description-end - Returned tree nodes from a root vertex are on Depth First Search order - Depth First Search Running time: :math:`O(E + V)` Signatures ------------------------------------------------------------------------------- .. code-block:: none pgr_primDFS(Edges SQL, Root vid [, max_depth]) pgr_primDFS(Edges SQL, Root vids [, max_depth]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) .. index:: single: primDFS(Single vertex) Single vertex ............................................................................... .. code-block:: none pgr_primDFS(Edges SQL, Root vid [, max_depth]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) :Example: The Minimum Spanning Tree having as root vertex :math:`2` .. literalinclude:: doc-pgr_primDFS.queries :start-after: --q1 :end-before: --q2 .. index:: single: primDFS(Multiple vertices) Multiple vertices ............................................................................... .. code-block:: none pgr_primDFS(Edges SQL, Root vids [, max_depth]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) :Example: The Minimum Spanning Tree starting on vertices :math:`\{13, 2\}` with :math:`depth <= 3` .. literalinclude:: doc-pgr_primDFS.queries :start-after: --q2 :end-before: --q3 .. Parameters, Inner query & result columns .. include:: pgr_kruskalDFS.rst :start-after: mstfs-information-start :end-before: mstfs-information-end See Also ------------------------------------------------------------------------------- * :doc:`spanningTree-family` * :doc:`prim-family` * The queries use the :doc:`sampledata` network. * `Boost: Prim's algorithm documentation `__ * `Wikipedia: Prim's algorithm `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/spanningTree/pgr_randomSpanTree.rst000066400000000000000000000037321414350551100232650ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ pgr_randomSpanTree - Experimental =============================================================================== ``pgr_randomSpanTree`` — Random spanning tree of a graph using the algorithm implemented by Boost.Graph. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/kruskal_min_spanning_tree.html Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * **TBD** Description ------------------------------------------------------------------------------- * TBD The main characteristics are: - **CRASHES THE SERVER** * TBD Signatures ------------------------------------------------------------------------------- * TBD .. rubric:: Summary * TBD Parameters ------------------------------------------------------------------------------- * TBD Inner query ------------------------------------------------------------------------------- *Description of the edges_sql query for pgr_randomSpanTree functions* * TBD Result Columns ------------------------------------------------------------------------------- *Description of the return values for pgr_randomSpanTree algorithms* * TBD See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/spanningTree/prim-family.rst000066400000000000000000000063521414350551100217220ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ Prim - Family of functions =============================================================================== .. index from here * :doc:`pgr_prim` * :doc:`pgr_primBFS` * :doc:`pgr_primDD` * :doc:`pgr_primDFS` .. index to here .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/prim_minimum_spanning_tree.html Boost Graph Inside .. toctree:: :hidden: pgr_prim pgr_primBFS pgr_primDD pgr_primDFS Description ------------------------------------------------------------------------------- The prim algorithm was developed in 1930 by Czech mathematician VojtÄ›ch Jarník. It is a greedy algorithm that finds a minimum spanning tree for a weighted undirected graph. This means it finds a subset of the edges that forms a tree that includes every vertex, where the total weight of all the edges in the tree is minimized. The algorithm operates by building this tree one vertex at a time, from an arbitrary starting vertex, at each step adding the cheapest possible connection from the tree to another vertex. This algorithms find the minimum spanning forest in a possibly disconnected graph; in contrast, the most basic form of Prim's algorithm only finds minimum spanning trees in connected graphs. However, running Prim's algorithm separately for each connected component of the graph, then it is called minimum spanning forest. **The main characteristics are:** .. prim-description-start - It's implementation is only on **undirected graph**. - Process is done only on edges with positive costs. - When the graph is connected - The resulting edges make up a tree - When the graph is not connected, - Finds a minimum spanning tree for each connected component. - The resulting edges make up a forest. - Prim's running time: :math:`O(E*log V)` .. prim-description-end .. Note:: From boost Graph: "The algorithm as implemented in Boost.Graph does not produce correct results on graphs with parallel edges." Inner query ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end See Also ------------------------------------------------------------------------------- * :doc:`spanningTree-family` * `Boost: Prim's algorithm documentation `__ * `Wikipedia: Prim's algorithm `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/spanningTree/spanningTree-family.rst000066400000000000000000000031611414350551100234030ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ Spanning Tree - Category =============================================================================== .. index from here * :doc:`kruskal-family` * :doc:`prim-family` .. index to here A spanning tree of an undirected graph is a tree that includes all the vertices of G with the minimum possible number of edges. For a disconnected graph, there there is no single tree, but a spanning forest, consisting of a spanning tree of each connected component. .. toctree:: :hidden: kruskal-family prim-family See Also ------------------------------------------------------------------------------- * `Boost: Prim's algorithm documentation `__ * `Wikipedia: Prim's algorithm `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/src/000077500000000000000000000000001414350551100150665ustar00rootroot00000000000000pgrouting-3.3.0/doc/src/CMakeLists.txt000066400000000000000000000010461414350551100176270ustar00rootroot00000000000000 SET(LOCAL_FILES index.rst pgRouting-concepts.rst pgRouting-installation.rst pgRouting-introduction.rst proposed.rst experimental.rst release_notes.rst routingFunctions.rst sampledata.rst support.rst cost-category.rst costMatrix-category.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/src/cost-category.rst000066400000000000000000000052361414350551100204110ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.5 `__ `2.4 `__ `2.6 `__ Cost - Category =============================================================================== .. index from here * :doc:`pgr_aStarCost` * :doc:`pgr_dijkstraCost` .. index to here .. rubric:: Proposed .. include:: proposed.rst :start-after: begin-warning :end-before: end-warning .. index proposed from here * :doc:`pgr_withPointsCost` .. index proposed to here General Information ------------------------------------------------------------------------------- Characteristics ................ The main Characteristics are: * Each function works as part of the family it belongs to. * It does not return a path. * Returns the sum of the costs of the resulting path(s) for pair combination of nodes in the graph. * Process is done only on edges with positive costs. * Values are returned when there is a path. * The returned values are in the form of a set of `(start_vid, end_vid, agg_cost)`. * When the starting vertex and ending vertex are the same, there is no path. * The `agg_cost` int the non included values `(v, v)` is `0`. * When the starting vertex and ending vertex are the different and there is no path. * The `agg_cost` in the non included values `(u, v)` is :math:`\infty`. * Let be the case the values returned are stored in a table, so the unique index would be the pair: `(start_vid, end_vid)`. * Depending on the function and its parameters, the results can be symmetric. * The `agg_cost` of `(u, v)` is the same as for `(v, u)`. * Any duplicated value in the `start_vids` or in `end_vids` are ignored. * The returned values are ordered: * `start_vid` ascending * `end_vid` ascending See Also ................ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/src/costMatrix-category.rst000066400000000000000000000072571414350551100216030ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ Cost Matrix - Category =============================================================================== .. index from here * :doc:`pgr_aStarCostMatrix` * :doc:`pgr_dijkstraCostMatrix` .. index to here .. rubric:: proposed .. include:: proposed.rst :start-after: begin-warning :end-before: end-warning .. index proposed from here * :doc:`pgr_withPointsCostMatrix` .. index proposed to here .. toctree:: :hidden: pgr_bdAstarCostMatrix pgr_bdDijkstraCostMatrix pgr_withPointsCostMatrix General Information ------------------------------------------------------------------------------- Synopsis ................... :doc:`TSP-family` needs as input a symmetric cost matrix and no edge `(u, v)` must value :math:`\infty`. This collection of functions will return a cost matrix in form of a table. Characteristics ................ The main Characteristics are: * Can be used as input to :doc:`pgr_TSP`. * :directly: when the resulting matrix is symmetric and there is no :math:`\infty` value. * It will be the users responsibility to make the matrix symmetric. * By using geometric or harmonic average of the non symmetric values. * By using max or min the non symmetric values. * By setting the upper triangle to be the mirror image of the lower triangle. * By setting the lower triangle to be the mirror image of the upper triangle. * It is also the users responsibility to fix an :math:`\infty` value. * Each function works as part of the family it belongs to. * It does not return a path. * Returns the sum of the costs of the shortest path for pair combination of nodes in the graph. * Process is done only on edges with positive costs. * Values are returned when there is a path. * The returned values are in the form of a set of `(start_vid, end_vid, agg_cost)`. * When the starting vertex and ending vertex are the same, there is no path. * The `agg_cost` int the non included values `(v, v)` is `0`. * When the starting vertex and ending vertex are the different and there is no path. * The `agg_cost` in the non included values `(u, v)` is :math:`\infty`. * Let be the case the values returned are stored in a table, so the unique index would be the pair: `(start_vid, end_vid)`. * Depending on the function and its parameters, the results can be symmetric. * The `agg_cost` of `(u, v)` is the same as for `(v, u)`. * Any duplicated value in the `start_vids` are ignored. * The returned values are ordered: * `start_vid` ascending * `end_vid` ascending * Running time: approximately :math:`O(| start\_vids | * (V \log V + E))` See Also ................ * :doc:`TSP-family` .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/src/experimental.rst000066400000000000000000000076361414350551100203310ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ Experimental Functions =============================================================================== .. begin-warn-expr .. warning:: Possible server crash - These functions might create a server crash .. warning:: Experimental functions - They are not officially of the current release. - They likely will not be officially be part of the next release: - The functions might not make use of ANY-INTEGER and ANY-NUMERICAL - Name might change. - Signature might change. - Functionality might change. - pgTap tests might be missing. - Might need c/c++ coding. - May lack documentation. - Documentation if any might need to be rewritten. - Documentation examples might need to be automatically generated. - Might need a lot of feedback from the comunity. - Might depend on a proposed function of pgRouting - Might depend on a deprecated function of pgRouting .. end-warn-expr .. rubric:: Families :doc:`flow-family` .. include:: flow-family.rst :start-after: index experimental from here :end-before: index experimental to here :doc:`chinesePostmanProblem-family` .. include:: chinesePostmanProblem-family.rst :start-after: index from here :end-before: index to here :doc:`coloring-family` .. include:: coloring-family.rst :start-after: index from here :end-before: index to here :doc:`transformation-family` .. include:: transformation-family.rst :start-after: index from here :end-before: index to here :doc:`components-family` .. include:: components-family.rst :start-after: index experimental from here :end-before: index experimental to here .. toctree:: :hidden: chinesePostmanProblem-family coloring-family transformation-family components-family .. rubric:: categories :doc:`VRP-category` .. include:: VRP-category.rst :start-after: index experimental from here :end-before: index experimental to here .. toctree:: :hidden: VRP-category .. rubric:: Not classified - :doc:`pgr_bellmanFord` - :doc:`pgr_binaryBreadthFirstSearch` - :doc:`pgr_breadthFirstSearch` - :doc:`pgr_dagShortestPath` - :doc:`pgr_edwardMoore` - :doc:`pgr_isPlanar` - :doc:`pgr_stoerWagner` - :doc:`pgr_topologicalSort` - :doc:`pgr_transitiveClosure` - :doc:`pgr_turnRestrictedPath` - :doc:`pgr_lengauerTarjanDominatorTree` .. toctree:: :hidden: pgr_bellmanFord pgr_binaryBreadthFirstSearch pgr_breadthFirstSearch pgr_dagShortestPath pgr_edwardMoore pgr_isPlanar pgr_stoerWagner pgr_topologicalSort pgr_transitiveClosure pgr_turnRestrictedPath pgr_lengauerTarjanDominatorTree See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/src/index.rst000066400000000000000000000065201414350551100167320ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ ******************************************************************************* Table of Contents ******************************************************************************* pgRouting extends the `PostGIS `__/`PostgreSQL `__ geospatial database to provide geospatial routing and other network analysis functionality. This is the manual for pgRouting |release|. .. image:: _static/images/ccbysa.png :align: left :alt: Creative Commons Attribution-Share Alike 3.0 License The pgRouting Manual is licensed under a `Creative Commons Attribution-Share Alike 3.0 License `_. Feel free to use this material any way you like, but we ask that you attribute credit to the pgRouting Project and wherever possible, a link back to https://pgrouting.org. For other licenses used in pgRouting see the :ref:`license` page. General =============================================================================== .. toctree:: :maxdepth: 2 pgRouting-introduction pgRouting-installation support - :doc:`sampledata` that is used in the examples of this manual. .. toctree:: :hidden: sampledata Pgrouting Concepts =============================================================================== .. toctree:: :maxdepth: 2 pgRouting-concepts .. rubric:: Reference * :doc:`pgr_version` - Get pgRouting's version information. * :doc:`pgr_full_version` - Get pgRouting's details of version. .. toctree:: :hidden: pgr_version pgr_full_version :doc:`routingFunctions` =============================================================================== .. toctree:: :hidden: routingFunctions .. include:: routingFunctions.rst :start-after: from-here :end-before: to-here Available Functions but not official pgRouting functions =============================================================================== * :doc:`proposed` * :doc:`experimental` .. toctree:: :hidden: proposed experimental :doc:`release_notes` =============================================================================== .. toctree:: :maxdepth: 2 release_notes .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/src/pgRouting-concepts.rst000066400000000000000000001062051414350551100214160ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ .. _pgrouting_concepts: pgRouting Concepts =============================================================================== .. contents:: .. _Getting_started: Getting Started ------------------------------------------------------------------------------- This is a simple guide to walk you through the steps of getting started with pgRouting. In this guide we will cover: .. contents:: :local: .. _create_database: Create a routing Database ............................................................................... The first thing we need to do is create a database and load pgrouting in the database. Typically you will create a database for each project. Once you have a database to work in, your can load your data and build your application in that database. This makes it easy to move your project later if you want to to say a production server. For Postgresql 9.2 and later versions .. code-block:: bash createdb mydatabase psql mydatabase -c "create extension postgis" psql mydatabase -c "create extension pgrouting" .. _load_data: Load Data ............................................................................... There are several ways to load your data into pgRouting. The most direct way is to load an Open Street Maps (OSM) dataset using **osm2pgrouting**. This is a tool, integrated in pgRouting project, that loads OSM data into postgresql with pgRouting requirements, including data structure and routing topology. If you have other requirements, you can try various OpenSource tools that can help you, like: :shp2pgsql: - this is the postgresql shapefile loader :ogr2ogr: - this is a vector data conversion utility :osm2pgsql: - this is a tool for loading OSM data into postgresql Please note that these tools will not import the data in a structure compatible with pgRouting and you might need to adapt it. These tools and probably others will allow you to read vector data so that you may then load that data into your database as a table of some kind. At this point you need to know a little about your data structure and content. One easy way to browse your new data table is with pgAdmin or phpPgAdmin. .. _build_topology: Build a Routing Topology ............................................................................... .. note:: this step is not needed if data is loaded with `osm2pgrouting` Next we need to build a topology for our street data. What this means is that for any given edge in your street data the ends of that edge will be connected to a unique node and to other edges that are also connected to that same unique node. Once all the edges are connected to nodes we have a graph that can be used for routing with pgrouting. We provide a tool that will help with this: .. code-block:: sql select pgr_createTopology('myroads', 0.000001); where you should replace 'myroads' with the name of your table storing the edges. * :doc:`pgr_createTopology` .. _check_graph: Check the Routing Topology ............................................................................... There are lots of possible sources for errors in a graph. The data that you started with may not have been designed with routing in mind. A graph has some very specific requirements. One is that it is *NODED*, this means that except for some very specific use cases, each road segment starts and ends at a node and that in general is does not cross another road segment that it should be connected to. There can be other errors like the direction of a one-way street being entered in the wrong direction. We do not have tools to search for all possible errors but we have some basic tools that might help. .. code-block:: sql select pgr_analyzegraph('myroads', 0.000001); select pgr_analyzeoneway('myroads', s_in_rules, s_out_rules, t_in_rules, t_out_rules direction) select pgr_nodeNetwork('myroads', 0.001); where you should replace 'myroads' with the name of your table storing the edges ('ways', in case you used osm2pgrouting to import the data). * :doc:`pgr_analyzeGraph` * :doc:`pgr_analyzeOneWay` * :doc:`pgr_nodeNetwork` .. _compute_path: Compute a Path ............................................................................... Once you have all the preparation work done above, computing a route is fairly easy. We have a lot of different algorithms that can work with your prepared road network. The general form of a route query using Dijkstra algorithm is: .. code-block:: none select pgr_dijkstra(`SELECT * FROM myroads', , ) This algorithm only requires *id*, *source*, *target* and *cost* as the minimal attributes, that by default will be considered to be columns in your roads table. If the column names in your roads table do not match exactly the names of these attributes, you can use aliases. For example, if you imported OSM data using **osm2pgrouting**, your id column's name would be *gid* and your roads table would be *ways*, so you would query a route from node id 1 to node id 2 by typing: .. code-block:: none select pgr_dijkstra('SELECT gid AS id, source, target, cost FROM ways', 1, 2) As you can see this is fairly straight forward and it also allows for great flexibility, both in terms of database structure and in defining cost functions. You can test the previous query using *length_m AS cost* to compute the shortest path in meters or *cost_s / 60 AS cost* to compute the fastest path in minutes. You can look and the specific algorithms for the details of the signatures and how to use them. These results have information like edge id and/or the node id along with the cost or geometry for the step in the path from *start* to *end*. Using the ids you can join these result back to your edge table to get more information about each step in the path. * :doc:`pgr_dijkstra` Group of Functions ------------------------------------------------------------------------------- A function might have different overloads. Across this documentation, to indicate which overload we use the following terms: * `One to One`_ * `One to Many`_ * `Many to One`_ * `Many to Many`_ * `Combinations`_ Depending on the overload are the parameters used, keeping consistency across all functions. One to One ............................................................................... When routing from: * From **one** starting vertex * to **one** ending vertex One to Many ............................................................................... When routing from: * From **one** starting vertex * to **many** ending vertices Many to One ............................................................................... When routing from: * From **many** starting vertices * to **one** ending vertex Many to Many ............................................................................... When routing from: * From **many** starting vertices * to **many** ending vertices Combinations ............................................................................... When routing from: * From **many** different starting vertices * to **many** different ending vertices * Every tuple specifies a pair of a start vertex and an end vertex * Users can define the combinations as desired. .. _inner_queries: Inner Queries ------------------------------------------------------------------------------- .. contents:: :local: There are several kinds of valid inner queries and also the columns returned are depending of the function. Which kind of inner query will depend on the function(s) requirements. To simplify variety of types, ``ANY-INTEGER`` and ``ANY-NUMERICAL`` is used. .. where_definition_starts Where: :ANY-INTEGER: SMALLINT, INTEGER, BIGINT :ANY-NUMERICAL: SMALLINT, INTEGER, BIGINT, REAL, FLOAT .. where_definition_ends Description of the edges_sql query for dijkstra like functions ............................................................................... .. basic_edges_sql_start ================= =================== ======== ================================================= Column Type Default Description ================= =================== ======== ================================================= **id** ``ANY-INTEGER`` Identifier of the edge. **source** ``ANY-INTEGER`` Identifier of the first end point vertex of the edge. **target** ``ANY-INTEGER`` Identifier of the second end point vertex of the edge. **cost** ``ANY-NUMERICAL`` Weight of the edge `(source, target)` - When negative: edge `(source, target)` does not exist, therefore it's not part of the graph. **reverse_cost** ``ANY-NUMERICAL`` -1 Weight of the edge `(target, source)`, - When negative: edge `(target, source)` does not exist, therefore it's not part of the graph. ================= =================== ======== ================================================= Where: :ANY-INTEGER: SMALLINT, INTEGER, BIGINT :ANY-NUMERICAL: SMALLINT, INTEGER, BIGINT, REAL, FLOAT .. basic_edges_sql_end .. no_id_edges_sql_start .. rubric:: Description of the edges_sql query (id is not necessary) :edges_sql: an SQL query, which should return a set of rows with the following columns: ================ =================== ======== ================================================= Column Type Default Description ================ =================== ======== ================================================= **source** ``ANY-INTEGER`` Identifier of the first end point vertex of the edge. **target** ``ANY-INTEGER`` Identifier of the second end point vertex of the edge. **cost** ``ANY-NUMERICAL`` Weight of the edge `(source, target)` * When negative: edge `(source, target)` does not exist, therefore it's not part of the graph. **reverse_cost** ``ANY-NUMERICAL`` -1 Weight of the edge `(target, source)`, - When negative: edge `(target, source)` does not exist, therefore it's not part of the graph. ================ =================== ======== ================================================= Where: :ANY-INTEGER: SMALLINT, INTEGER, BIGINT :ANY-NUMERICAL: SMALLINT, INTEGER, BIGINT, REAL, FLOAT .. no_id_edges_sql_end .. pgr_dijkstra_via_parameters_start Parameters ------------------------------------------------------------------------------- =================== ====================== ========= ========================================= Parameter Type Default Description =================== ====================== ========= ========================================= **edges_sql** ``TEXT`` SQL query as described above. **via_vertices** ``ARRAY[ANY-INTEGER]`` Array of ordered vertices identifiers that are going to be visited. **directed** ``BOOLEAN`` ``true`` - When ``true`` Graph is considered `Directed` - When ``false`` the graph is considered as Undirected. **strict** ``BOOLEAN`` ``false`` - When ``false`` ignores missing paths returning all paths found - When ``true`` if a path is missing stops and returns `EMPTY SET` **U_turn_on_edge** ``BOOLEAN`` ``true`` - When ``true`` departing from a visited vertex will not try to avoid using the edge used to reach it. In other words, U turn using the edge with same `id` is allowed. - When ``false`` when a departing from a visited vertex tries to avoid using the edge used to reach it. In other words, U turn using the edge with same `id` is used when no other path is found. =================== ====================== ========= ========================================= .. pgr_dijkstra_via_parameters_end edges_sql query for :doc:`aStar-family` and :doc:`aStar-family` functions ............................................................................................. .. xy_edges_sql_start :edges_sql: an SQL query, which should return a set of rows with the following columns: ================ =================== ======== ================================================= Column Type Default Description ================ =================== ======== ================================================= **id** ``ANY-INTEGER`` Identifier of the edge. **source** ``ANY-INTEGER`` Identifier of the first end point vertex of the edge. **target** ``ANY-INTEGER`` Identifier of the second end point vertex of the edge. **cost** ``ANY-NUMERICAL`` Weight of the edge `(source, target)` - When negative: edge `(source, target)` does not exist, therefore it's not part of the graph. **reverse_cost** ``ANY-NUMERICAL`` -1 Weight of the edge `(target, source)`, - When negative: edge `(target, source)` does not exist, therefore it's not part of the graph. **x1** ``ANY-NUMERICAL`` X coordinate of `source` vertex. **y1** ``ANY-NUMERICAL`` Y coordinate of `source` vertex. **x2** ``ANY-NUMERICAL`` X coordinate of `target` vertex. **y2** ``ANY-NUMERICAL`` Y coordinate of `target` vertex. ================ =================== ======== ================================================= Where: :ANY-INTEGER: SMALLINT, INTEGER, BIGINT :ANY-NUMERICAL: SMALLINT, INTEGER, BIGINT, REAL, FLOAT .. xy_edges_sql_end .. rubric:: For :doc:`pgr_pushRelabel `, :doc:`pgr_edmondsKarp `, :doc:`pgr_boykovKolmogorov ` : .. include:: flow-family.rst :start-after: flow_edges_sql_start :end-before: flow_edges_sql_end .. rubric:: For :doc:`pgr_maxFlowMinCost` and :doc:`pgr_maxFlowMinCost_Cost`: .. include:: flow-family.rst :start-after: costFlow_edges_sql_start :end-before: costFlow_edges_sql_end .. points_sql_start .. rubric:: Description of the Points SQL query :points_sql: an SQL query, which should return a set of rows with the following columns: ============ ================= ================================================= Column Type Description ============ ================= ================================================= **pid** ``ANY-INTEGER`` (optional) Identifier of the point. - If column present, it can not be NULL. - If column not present, a sequential identifier will be given automatically. **edge_id** ``ANY-INTEGER`` Identifier of the "closest" edge to the point. **fraction** ``ANY-NUMERICAL`` Value in <0,1> that indicates the relative postition from the first end point of the edge. **side** ``CHAR`` (optional) Value in ['b', 'r', 'l', NULL] indicating if the point is: - In the right, left of the edge or - If it doesn't matter with 'b' or NULL. - If column not present 'b' is considered. ============ ================= ================================================= Where: :ANY-INTEGER: smallint, int, bigint :ANY-NUMERICAL: smallint, int, bigint, real, float .. points_sql_end Description of the combinations_sql query for dijkstra like functions ............................................................................... .. basic_combinations_sql_start ================= =================== ======== ================================================= Column Type Default Description ================= =================== ======== ================================================= **source** ``ANY-INTEGER`` Identifier of the first end point vertex of the edge. **target** ``ANY-INTEGER`` Identifier of the second end point vertex of the edge. ================= =================== ======== ================================================= Where: :ANY-INTEGER: SMALLINT, INTEGER, BIGINT .. basic_combinations_sql_end .. _return_values: Return columns & values -------------------------------------------------------------------------------- .. contents:: :local: There are several kinds of columns returned are depending of the function. Return values for a path ............................................................................... .. return_path_short_start Returns set of ``(seq, path_seq [, start_vid] [, end_vid], node, edge, cost, agg_cost)`` ============== ========== ================================================= Column Type Description ============== ========== ================================================= **seq** ``INT`` Sequential value starting from **1**. **path_seq** ``INT`` Relative position in the path. Has value **1** for the beginning of a path. **start_vid** ``BIGINT`` Identifier of the starting vertex. Returned when multiple starting vetrices are in the query. * `Many to One`_ * `Many to Many`_ **end_vid** ``BIGINT`` Identifier of the ending vertex. Returned when multiple ending vertices are in the query. * `One to Many`_ * `Many to Many`_ **node** ``BIGINT`` Identifier of the node in the path from ``start_vid`` to ``end_vid``. **edge** ``BIGINT`` Identifier of the edge used to go from ``node`` to the next node in the path sequence. ``-1`` for the last node of the path. **cost** ``FLOAT`` Cost to traverse from ``node`` using ``edge`` to the next node in the path sequence. **agg_cost** ``FLOAT`` Aggregate cost from ``start_v`` to ``node``. ============== ========== ================================================= .. return_path_short_end Return values for multiple paths from the same source and destination ............................................................................... .. return_path_start Returns set of ``(seq, path_id, path_seq [, start_vid] [, end_vid], node, edge, cost, agg_cost)`` ============== ========== ================================================= Column Type Description ============== ========== ================================================= **seq** ``INT`` Sequential value starting from **1**. **path_id** ``INT`` Path identifier. Has value **1** for the first of a path. Used when there are multiple paths for the same ``start_vid`` to ``end_vid`` combination. **path_seq** ``INT`` Relative position in the path. Has value **1** for the beginning of a path. **start_vid** ``BIGINT`` Identifier of the starting vertex. Returned when multiple starting vetrices are in the query. * `Many to One`_ * `Many to Many`_ **end_vid** ``BIGINT`` Identifier of the ending vertex. Returned when multiple ending vertices are in the query. * `One to Many`_ * `Many to Many`_ **node** ``BIGINT`` Identifier of the node in the path from ``start_vid`` to ``end_vid``. **edge** ``BIGINT`` Identifier of the edge used to go from ``node`` to the next node in the path sequence. ``-1`` for the last node of the path. **cost** ``FLOAT`` Cost to traverse from ``node`` using ``edge`` to the next node in the path sequence. **agg_cost** ``FLOAT`` Aggregate cost from ``start_v`` to ``node``. ============== ========== ================================================= .. return_path_end Description of the return values for a :doc:`costMatrix-category` function ............................................................................... .. return_cost_start Returns SET OF ``(start_vid, end_vid, agg_cost)`` ============== ========== ================================================= Column Type Description ============== ========== ================================================= **start_vid** ``BIGINT`` Identifier of the starting vertex. **end_vid** ``BIGINT`` Identifier of the ending vertex. **agg_cost** ``FLOAT`` Aggregate cost from ``start_vid`` to ``end_vid``. ============== ========== ================================================= .. return_cost_end Description of the Return Values ..................................................................... .. rubric:: For :doc:`pgr_pushRelabel `, :doc:`pgr_edmondsKarp `, :doc:`pgr_boykovKolmogorov ` : .. include:: flow-family.rst :start-after: result_flow_start :end-before: result_flow_end .. rubric:: For :doc:`pgr_maxFlowMinCost` .. include:: flow-family.rst :start-after: result_costFlow_start :end-before: result_costFlow_end .. _advanced_topics: Advanced Topics ------------------------------------------------------------------------------- .. contents:: :local: .. _topology: Routing Topology ............................................................................... .. rubric:: Overview Typically when GIS files are loaded into the data database for use with pgRouting they do not have topology information associated with them. To create a useful topology the data needs to be "noded". This means that where two or more roads form an intersection there it needs to be a node at the intersection and all the road segments need to be broken at the intersection, assuming that you can navigate from any of these segments to any other segment via that intersection. You can use the :ref:`graph analysis functions ` to help you see where you might have topology problems in your data. If you need to node your data, we also have a function :doc:`pgr_nodeNetwork() ` that might work for you. This function splits ALL crossing segments and nodes them. There are some cases where this might NOT be the right thing to do. For example, when you have an overpass and underpass intersection, you do not want these noded, but pgr_nodeNetwork does not know that is the case and will node them which is not good because then the router will be able to turn off the overpass onto the underpass like it was a flat 2D intersection. To deal with this problem some data sets use z-levels at these types of intersections and other data might not node these intersection which would be ok. For those cases where topology needs to be added the following functions may be useful. One way to prep the data for pgRouting is to add the following columns to your table and then populate them as appropriate. This example makes a lot of assumption like that you original data tables already has certain columns in it like ``one_way``, ``fcc``, and possibly others and that they contain specific data values. This is only to give you an idea of what you can do with your data. .. code-block:: sql ALTER TABLE edge_table ADD COLUMN source integer, ADD COLUMN target integer, ADD COLUMN cost_len double precision, ADD COLUMN cost_time double precision, ADD COLUMN rcost_len double precision, ADD COLUMN rcost_time double precision, ADD COLUMN x1 double precision, ADD COLUMN y1 double precision, ADD COLUMN x2 double precision, ADD COLUMN y2 double precision, ADD COLUMN to_cost double precision, ADD COLUMN rule text, ADD COLUMN isolated integer; SELECT pgr_createTopology('edge_table', 0.000001, 'the_geom', 'id'); The function :doc:`pgr_createTopology ` will create the ``vertices_tmp`` table and populate the ``source`` and ``target`` columns. The following example populated the remaining columns. In this example, the ``fcc`` column contains feature class code and the ``CASE`` statements converts it to an average speed. .. code-block:: sql UPDATE edge_table SET x1 = st_x(st_startpoint(the_geom)), y1 = st_y(st_startpoint(the_geom)), x2 = st_x(st_endpoint(the_geom)), y2 = st_y(st_endpoint(the_geom)), cost_len = st_length_spheroid(the_geom, 'SPHEROID["WGS84",6378137,298.25728]'), rcost_len = st_length_spheroid(the_geom, 'SPHEROID["WGS84",6378137,298.25728]'), len_km = st_length_spheroid(the_geom, 'SPHEROID["WGS84",6378137,298.25728]')/1000.0, len_miles = st_length_spheroid(the_geom, 'SPHEROID["WGS84",6378137,298.25728]') / 1000.0 * 0.6213712, speed_mph = CASE WHEN fcc='A10' THEN 65 WHEN fcc='A15' THEN 65 WHEN fcc='A20' THEN 55 WHEN fcc='A25' THEN 55 WHEN fcc='A30' THEN 45 WHEN fcc='A35' THEN 45 WHEN fcc='A40' THEN 35 WHEN fcc='A45' THEN 35 WHEN fcc='A50' THEN 25 WHEN fcc='A60' THEN 25 WHEN fcc='A61' THEN 25 WHEN fcc='A62' THEN 25 WHEN fcc='A64' THEN 25 WHEN fcc='A70' THEN 15 WHEN fcc='A69' THEN 10 ELSE null END, speed_kmh = CASE WHEN fcc='A10' THEN 104 WHEN fcc='A15' THEN 104 WHEN fcc='A20' THEN 88 WHEN fcc='A25' THEN 88 WHEN fcc='A30' THEN 72 WHEN fcc='A35' THEN 72 WHEN fcc='A40' THEN 56 WHEN fcc='A45' THEN 56 WHEN fcc='A50' THEN 40 WHEN fcc='A60' THEN 50 WHEN fcc='A61' THEN 40 WHEN fcc='A62' THEN 40 WHEN fcc='A64' THEN 40 WHEN fcc='A70' THEN 25 WHEN fcc='A69' THEN 15 ELSE null END; -- UPDATE the cost information based on oneway streets UPDATE edge_table SET cost_time = CASE WHEN one_way='TF' THEN 10000.0 ELSE cost_len/1000.0/speed_kmh::numeric*3600.0 END, rcost_time = CASE WHEN one_way='FT' THEN 10000.0 ELSE cost_len/1000.0/speed_kmh::numeric*3600.0 END; -- clean up the database because we have updated a lot of records VACUUM ANALYZE VERBOSE edge_table; Now your database should be ready to use any (most?) of the pgRouting algorithms. .. _analytics: Graph Analytics ............................................................................... .. rubric:: Overview It is common to find problems with graphs that have not been constructed fully noded or in graphs with z-levels at intersection that have been entered incorrectly. An other problem is one way streets that have been entered in the wrong direction. We can not detect errors with respect to "ground" truth, but we can look for inconsistencies and some anomalies in a graph and report them for additional inspections. We do not current have any visualization tools for these problems, but I have used mapserver to render the graph and highlight potential problem areas. Someone familiar with graphviz might contribute tools for generating images with that. Analyze a Graph ............................................................................... With :doc:`pgr_analyzeGraph` the graph can be checked for errors. For example for table "mytab" that has "mytab_vertices_pgr" as the vertices table: .. code-block:: sql SELECT pgr_analyzeGraph('mytab', 0.000002); NOTICE: Performing checks, pelase wait... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 158 NOTICE: Dead ends: 20028 NOTICE: Potential gaps found near dead ends: 527 NOTICE: Intersections detected: 2560 NOTICE: Ring geometries: 0 pgr_analyzeGraph ---------- OK (1 row) In the vertices table "mytab_vertices_pgr": - Deadends are identified by ``cnt=1`` - Potencial gap problems are identified with ``chk=1``. .. code-block:: sql SELECT count(*) as deadends FROM mytab_vertices_pgr WHERE cnt = 1; deadends ---------- 20028 (1 row) SELECT count(*) as gaps FROM mytab_vertices_pgr WHERE chk = 1; gaps ----- 527 (1 row) For isolated road segments, for example, a segment where both ends are deadends. you can find these with the following query: .. code-block:: sql SELECT * FROM mytab a, mytab_vertices_pgr b, mytab_vertices_pgr c WHERE a.source=b.id AND b.cnt=1 AND a.target=c.id AND c.cnt=1; If you want to visualize these on a graphic image, then you can use something like mapserver to render the edges and the vertices and style based on ``cnt`` or if they are isolated, etc. You can also do this with a tool like graphviz, or geoserver or other similar tools. Analyze One Way Streets ............................................................................... :doc:`pgr_analyzeOneWay` analyzes one way streets in a graph and identifies any flipped segments. Basically if you count the edges coming into a node and the edges exiting a node the number has to be greater than one. This query will add two columns to the vertices_tmp table ``ein int`` and ``eout int`` and populate it with the appropriate counts. After running this on a graph you can identify nodes with potential problems with the following query. The rules are defined as an array of text strings that if match the ``col`` value would be counted as true for the source or target in or out condition. Example ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Lets assume we have a table "st" of edges and a column "one_way" that might have values like: * 'FT' - oneway from the source to the target node. * 'TF' - oneway from the target to the source node. * 'B' - two way street. * '' - empty field, assume twoway. * - NULL field, use two_way_if_null flag. Then we could form the following query to analyze the oneway streets for errors. .. code-block:: sql SELECT pgr_analyzeOneway('mytab', ARRAY['', 'B', 'TF'], ARRAY['', 'B', 'FT'], ARRAY['', 'B', 'FT'], ARRAY['', 'B', 'TF'], ); -- now we can see the problem nodes SELECT * FROM mytab_vertices_pgr WHERE ein=0 OR eout=0; -- and the problem edges connected to those nodes SELECT gid FROM mytab a, mytab_vertices_pgr b WHERE a.source=b.id AND ein=0 OR eout=0 UNION SELECT gid FROM mytab a, mytab_vertices_pgr b WHERE a.target=b.id AND ein=0 OR eout=0; Typically these problems are generated by a break in the network, the one way direction set wrong, maybe an error related to z-levels or a network that is not properly noded. The above tools do not detect all network issues, but they will identify some common problems. There are other problems that are hard to detect because they are more global in nature like multiple disconnected networks. Think of an island with a road network that is not connected to the mainland network because the bridge or ferry routes are missing. .. _performance: Performance Tips ------------------------------------------------------------------------------- .. contents:: :local: For the Routing functions ............................................................................... To get faster results bound your queries to the area of interest of routing to have, for example, no more than one million rows. Use an inner query SQL that does not include some edges in the routing function .. code-block:: sql SELECT id, source, target from edge_table WHERE id < 17 and the_geom && (select st_buffer(the_geom,1) as myarea FROM edge_table where id = 5) Integrating the inner query to the pgRouting function: .. code-block:: sql SELECT * FROM pgr_dijkstra( 'SELECT id, source, target from edge_table WHERE id < 17 and the_geom && (select st_buffer(the_geom,1) as myarea FROM edge_table where id = 5)', 1, 2) For the topology functions: ............................................................................... When "you know" that you are going to remove a set of edges from the edges table, and without those edges you are going to use a routing function you can do the following: Analize the new topology based on the actual topology: .. code-block:: sql pgr_analyzegraph('edge_table',rows_where:='id < 17'); Or create a new topology if the change is permanent: .. code-block:: sql pgr_createTopology('edge_table',rows_where:='id < 17'); pgr_analyzegraph('edge_table',rows_where:='id < 17'); .. _how_contribute: How to contribute ------------------------------------------------------------------------------- .. rubric:: Wiki * Edit an existing `pgRouting Wiki `_ page. * Or create a new Wiki page * Create a page on the `pgRouting Wiki `_ * Give the title an appropriate name * `Example `_ .. rubric:: Adding Functionaity to pgRouting Consult the `developer's documentation `_ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/src/pgRouting-installation.rst000066400000000000000000000210201414350551100222700ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ Installation =============================================================================== .. rubric:: Table of Contents * :ref:`install-short` * :ref:`install_get_sources` * :ref:`install_enable_db` * :ref:`install_dependencies` * :ref:`install_configuring` * :ref:`install_build` * :ref:`install_testing` Instructions for downloading and installing binaries for different Operative systems instructions and additional notes and corrections not included in this documentation can be found in `Installation wiki `__ To use pgRouting postGIS needs to be installed, please read the information about installation in this `Install Guide `__ .. _install-short: Short Version ------------------------------------------------------------------------------- Extracting the tar ball .. code-block:: bash tar xvfz pgrouting-${PROJECT_VERSION}.tar.gz cd pgrouting-${PROJECT_VERSION} To compile assuming you have all the dependencies in your search path: .. code-block:: bash mkdir build cd build cmake .. make sudo make install Once pgRouting is installed, it needs to be enabled in each individual database you want to use it in. .. code-block:: bash createdb routing psql routing -c 'CREATE EXTENSION PostGIS' psql routing -c 'CREATE EXTENSION pgRouting' .. _install_get_sources: Get the sources ------------------------------------------------------------------------------- The pgRouting latest release can be found in https://github.com/pgRouting/pgrouting/releases/latest .. rubric:: wget To download this release: .. code-block:: bash wget -O pgrouting-${PROJECT_VERSION}.tar.gz https://github.com/pgRouting/pgrouting/archive/v${PROJECT_VERSION}.tar.gz Goto :ref:`install-short` to the extract and compile instructions. .. rubric:: git To download the repository .. code-block:: bash git clone git://github.com/pgRouting/pgrouting.git cd pgrouting git checkout v${PROJECT_VERSION} Goto :ref:`install-short` to the compile instructions (there is no tar ball). .. _install_enable_db: Enabling and upgrading in the database ---------------------------------------------- .. rubric:: Enabling the database pgRouting is an extension and depends on postGIS. Enabling postGIS before enabling pgRouting in the database .. code-block:: sql CREATE EXTENSION postgis; CREATE EXTENSION pgrouting; .. rubric:: Upgrading the database To upgrade pgRouting in the database to version ${PROJECT_VERSION} use the following command: .. TODO: pumpup release must change this value .. code-block:: sql ALTER EXTENSION pgrouting UPDATE TO "${PROJECT_VERSION}"; More information can be found in https://www.postgresql.org/docs/current/sql-createextension.html .. _install_dependencies: Dependencies ------------------------------------------------------------------------------- .. rubric:: Compilation Dependencies To be able to compile pgRouting, make sure that the following dependencies are met: * C and C++0x compilers * Compiling with Boost 1.56 up to Boost 1.74 requires C++ Compiler with C++03 or C++11 standard support * Compiling with Boost 1.75 requires C++ Compiler with C++14 standard support * Postgresql version = Supported versions by PostgreSQL * The Boost Graph Library (BGL). Version >= 1.56 * CMake >= 3.2 .. rubric:: optional dependencies For user's documentation * Sphinx >= 1.1 * Latex For developer's documentation * Doxygen >= 1.7 For testing * pgtap * pg_prove For using: * PostGIS version >= 2.2 .. rubric:: Example: Installing dependencies on linux Installing the compilation dependencies .. rubric:: Database dependencies .. code-block:: none sudo apt-get install postgresql-10 \ postgresql-server-dev-10 \ postgresql-10-postgis .. rubric:: Build dependencies .. code-block:: none sudo apt-get install cmake \ g++ \ libboost-graph-dev .. rubric:: Optional dependencies For documentation and testing .. code-block:: none sudo apt-get install -y python-sphinx \ texlive \ doxygen \ libtap-parser-sourcehandler-pgtap-perl \ postgresql-10-pgtap .. _install_configuring: Configuring ------------------------- pgRouting uses the `cmake` system to do the configuration. The build directory is different from the source directory Create the build directory .. code-block:: bash $ mkdir build Configurable variables ....................... .. rubric:: To see the variables that can be configured .. code-block:: bash $ cd build $ cmake -L .. .. rubric:: Configuring The Documentation Most of the effort of the documentation has being on the HTML files. Some variables for the documentation: ================== ========= ============================ Variable Default Comment ================== ========= ============================ WITH_DOC BOOL=OFF Turn on/off building the documentation BUILD_HTML BOOL=ON If ON, turn on/off building HTML for user's documentation BUILD_DOXY BOOL=ON If ON, turn on/off building HTML for developer's documentation BUILD_LATEX BOOL=OFF If ON, turn on/off building PDF BUILD_MAN BOOL=OFF If ON, turn on/off building MAN pages DOC_USE_BOOTSTRAP BOOL=OFF If ON, use sphinx-bootstrap for HTML pages of the users documentation ================== ========= ============================ Configuring with documentation .. code-block:: bash $ cmake -DWITH_DOC=ON .. .. note:: Most of the effort of the documentation has being on the html files. .. _install_build: Building ---------------------------------------------------------------- Using ``make`` to build the code and the documentation The following instructions start from *path/to/pgrouting/build* .. code-block:: bash $ make # build the code but not the documentation $ make doc # build only the documentation $ make all doc # build both the code and the documentation We have tested on several platforms, For installing or reinstalling all the steps are needed. .. warning:: The sql signatures are configured and build in the ``cmake`` command. .. rubric:: MinGW on Windows .. code-block:: bash $ mkdir build $ cd build $ cmake -G"MSYS Makefiles" .. $ make $ make install .. rubric:: Linux The following instructions start from *path/to/pgrouting* .. code-block:: bash mkdir build cd build cmake .. make sudo make install When the configuration changes: .. code-block:: bash rm -rf build and start the build process as mentioned above. .. _install_testing: Testing ------------------------- Currently there is no :code:`make test` and testing is done as follows The following instructions start from *path/to/pgrouting/* .. code-block:: none tools/testers/doc_queries_generator.pl createdb -U ___pgr___test___ sh ./tools/testers/pg_prove_tests.sh dropdb -U ___pgr___test___ See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/src/pgRouting-introduction.rst000066400000000000000000000141201414350551100223130ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ Introduction =============================================================================== pgRouting is an extension of `PostGIS `__ and `PostgreSQL `__ geospatial database and adds routing and other network analysis functionality. A predecessor of pgRouting – pgDijkstra, written by Sylvain Pasche from `Camptocamp `__, was later extended by Orkney and renamed to pgRouting. The project is now supported and maintained by `Georepublic `__, `Paragon Corporation `__ and a broad user community. pgRouting is part of `OSGeo Community Projects `__ from the `OSGeo Foundation `__ and included on `OSGeoLive `__. .. _license: Licensing ------------------------------------------------------------------------------- The following licenses can be found in pgRouting: .. list-table:: :widths: 250 500 * - **License** - * - GNU General Public License v2.0 or later - Most features of pgRouting are available under `GNU General Public License v2.0 or later `_. * - Boost Software License - Version 1.0 - Some Boost extensions are available under `Boost Software License - Version 1.0 `_. * - MIT-X License - Some code contributed by iMaptools.com is available under MIT-X license. * - Creative Commons Attribution-Share Alike 3.0 License - The pgRouting Manual is licensed under a `Creative Commons Attribution-Share Alike 3.0 License `_. In general license information should be included in the header of each source file. Contributors ------------------------------------------------------------------------------- This Release Contributors +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Individuals (in alphabetical order) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Ashish Kumar, Cayetano Benavent, Daniel Kastl, Himanshu Raj, Martha Vergara, Regina Obe, Veenit Kumar, Virginia Vergara And all the people that give us a little of their time making comments, finding issues, making pull requests etc. in any of our products: osm2pgrouting, pgRouting, pgRoutingLayer. Corporate Sponsors (in alphabetical order) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ These are corporate entities that have contributed developer time, hosting, or direct monetary funding to the pgRouting project: - `Georepublic `__ - `Google Summer of Code `__ - `Leopark `__ - `Paragon Corporation `__ Contributors Past & Present: +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Individuals (in alphabetical order) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Aasheesh Tiwari, Aditya Pratap Singh, Adrien Berchet, Akio Takubo, Andrea Nardelli, Anthony Tasca, Anton Patrushev, Ashraf Hossain, Ashish Kumar, Cayetano Benavent, Christian Gonzalez, Daniel Kastl, Dave Potts, David Techer, Denis Rykov, Ema Miyawaki, Esteban Zimanyi, Florian Thurkow, Frederic Junod, Gerald Fenoy, Gudesa Venkata Sai Akhil, Hang Wu, Himanshu Raj, Imre Samu, Jay Mahadeokar, Jinfu Leng, Kai Behncke, Kishore Kumar, Ko Nagase, Mahmoud Sakr, Manikata Kondeti, Mario Basa, Martin Wiesenhaan, Maxim Dubinin, Maoguang Wang, Mohamed Bakli, Mohamed Zia, Mukul Priya, Razequl Islam, Regina Obe, Rohith Reddy, Sarthak Agarwal, Sourabh Garg, Stephen Woodbridge, Sylvain Housseman, Sylvain Pasche, Veenit Kumar, Vidhan Jain, Virginia Vergara Corporate Sponsors (in alphabetical order) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ These are corporate entities that have contributed developer time, hosting, or direct monetary funding to the pgRouting project: - Camptocamp - CSIS (University of Tokyo) - Georepublic - Google Summer of Code - iMaptools - Leopark - Orkney - Paragon Corporation - Versaterm Inc. More Information ------------------------------------------------------------------------------- * The latest software, documentation and news items are available at the pgRouting web site https://pgrouting.org. * PostgreSQL database server at the PostgreSQL main site https://www.postgresql.org. * PostGIS extension at the PostGIS project web site https://postgis.net. * Boost C++ source libraries at https://www.boost.org. * The Migration guide can be found at https://github.com/pgRouting/pgrouting/wiki/Migration-Guide. pgrouting-3.3.0/doc/src/proposed.rst000066400000000000000000000062511414350551100174570ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ Proposed Functions ================================== .. stable-begin-warning .. warning:: Proposed functions for next mayor release. - They are not officially in the current release. - They will likely officially be part of the next mayor release: - The functions make use of ANY-INTEGER and ANY-NUMERICAL - Name might not change. (But still can) - Signature might not change. (But still can) - Functionality might not change. (But still can) - pgTap tests have being done. But might need more. - Documentation might need refinement. .. stable-end-warning .. rubric:: Families :doc:`dijkstra-family` .. include:: dijkstra-family.rst :start-after: index proposed from here :end-before: index proposed to here :doc:`withPoints-family` .. include:: withPoints-family.rst :start-after: index proposed from here :end-before: index proposed to here :doc:`topology-functions` .. include:: topology-functions.rst :start-after: topology_proposed_start :end-before: topology_proposed_end :doc:`traversal-family` .. include:: traversal-family.rst :start-after: index from here :end-before: index to here :doc:`coloring-family` .. include:: coloring-family.rst :start-after: index proposed from here :end-before: index proposed to here .. toctree:: :hidden: traversal-family .. rubric:: categories :doc:`cost-category` .. include:: cost-category.rst :start-after: index proposed from here :end-before: index proposed to here :doc:`costMatrix-category` .. include:: costMatrix-category.rst :start-after: index proposed from here :end-before: index proposed to here :doc:`drivingDistance-category` .. include:: drivingDistance-category.rst :start-after: index proposed from here :end-before: index proposed to here :doc:`KSP-category` .. include:: KSP-category.rst :start-after: index proposed from here :end-before: index proposed to here .. toctree:: :hidden: withPoints-family KSP-category See Also ------------------------------------------------------------------------------- * :doc:`experimental` .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/src/release_notes.rst000066400000000000000000001147721414350551100204640ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ Release Notes =============================================================================== To see the full list of changes check the list of `Git commits `_ on Github. .. contents:: Contents :local: pgRouting 3.3.0 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.3.0 `_ on Github. .. rubric:: Issue fixes * `#2057 `__: trspViaEdges columns in different order * `#2087 `__: pgr_extractVertices to proposed * `#2201 `__: pgr_depthFirstSearch to proposed * `#2202 `__: pgr_sequentialVertexColoring to proposed * `#2203 `__: pgr_dijkstraNear and pgr_dijkstraNearCost to proposed .. rubric:: New experimental functions * Coloring * pgr_edgeColoring .. rubric:: Experimental promoted to Proposed * Dijkstra * pgr_dijkstraNear * pgr_dijkstraNear(Combinations) * pgr_dijkstraNear(Many to Many) * pgr_dijkstraNear(Many to One) * pgr_dijkstraNear(One to Many) * pgr_dijkstraNearCost * pgr_dijkstraNearCost(Combinations) * pgr_dijkstraNearCost(Many to Many) * pgr_dijkstraNearCost(Many to One) * pgr_dijkstraNearCost(One to Many) * Coloring * pgr_sequentialVertexColoring * Topology * pgr_extractVertices * Traversal * pgr_depthFirstSearch(Multiple vertices) * pgr_depthFirstSearch(Single vertex) pgRouting 3.2.2 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.2.2 `_ on Github. .. rubric:: Issues * `#2093 `__: Compilation on Visual Studio * `#2189 `__: Build error on RHEL 7 pgRouting 3.2.1 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.2.1 `_ on Github. .. rubric:: Issue fixes * `#1883 `__: pgr_TSPEuclidean crashes connection on Windows * The solution is to use Boost::graph::metric_tsp_approx * To not break user's code the optional parameters related to the TSP Annaeling are ignored * The function with the annaeling optional parameters is deprecated pgRouting 3.2.0 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.2.0 `_ on Github. .. rubric:: Build * `#1850 `__: Change Boost min version to 1.56 * Removing support for Boost v1.53, v1.54 & v1.55 .. rubric:: New experimental functions * pgr_bellmanFord(Combinations) * pgr_binaryBreadthFirstSearch(Combinations) * pgr_bipartite * pgr_dagShortestPath(Combinations) * pgr_depthFirstSearch * Dijkstra Near * pgr_dijkstraNear * pgr_dijkstraNear(One to Many) * pgr_dijkstraNear(Many to One) * pgr_dijkstraNear(Many to Many) * pgr_dijkstraNear(Combinations) * pgr_dijkstraNearCost * pgr_dijkstraNearCost(One to Many) * pgr_dijkstraNearCost(Many to One) * pgr_dijkstraNearCost(Many to Many) * pgr_dijkstraNearCost(Combinations) * pgr_edwardMoore(Combinations) * pgr_isPlanar * pgr_lengauerTarjanDominatorTree * pgr_makeConnected * Flow * pgr_maxFlowMinCost(Combinations) * pgr_maxFlowMinCost_Cost(Combinations) * pgr_sequentialVertexColoring .. rubric:: New proposed functions * Astar * pgr_aStar(Combinations) * pgr_aStarCost(Combinations) * Bidirectional Astar * pgr_bdAstar(Combinations) * pgr_bdAstarCost(Combinations) * Bidirectional Dijkstra * pgr_bdDijkstra(Combinations) * pgr_bdDijkstraCost(Combinations) * Flow * pgr_boykovKolmogorov(Combinations) * pgr_edgeDisjointPaths(Combinations) * pgr_edmondsKarp(Combinations) * pgr_maxFlow(Combinations) * pgr_pushRelabel(Combinations) * pgr_withPoints(Combinations) * pgr_withPointsCost(Combinations) pgRouting 3.1.4 Release Notes -------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.1.4 `_ on Github. .. rubric:: Issues fixes * `#2189 `__: Build error on RHEL 7 pgRouting 3.1.3 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.1.3 `_ on Github. .. rubric:: Issues fixes * `#1825 `__: Boost versions are not honored * `#1849 `__: Boost 1.75.0 geometry "point_xy.hpp" build error on macOS environment * `#1861 `__: vrp functions crash server pgRouting 3.1.2 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.1.2 `_ on Github. .. rubric:: Issues fixes * `#1304 `__: FreeBSD 12 64-bit crashes on pgr_vrOneDepot tests Experimental Function * `#1356 `__: tools/testers/pg_prove_tests.sh fails when PostgreSQL port is not passed * `#1725 `__: Server crash on pgr_pickDeliver and pgr_vrpOneDepot on openbsd * `#1760 `__: TSP server crash on ubuntu 20.04 #1760 * `#1770 `__: Remove warnings when using clang compiler pgRouting 3.1.1 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.1.1 `_ on Github. .. rubric:: Issues fixes * `#1733 `__: pgr_bdAstar fails when source or target vertex does not exist in the graph * `#1647 `__: Linear Contraction contracts self loops * `#1640 `__: pgr_withPoints fails when points_sql is empty * `#1616 `__: Path evaluation on C++ not updated before the results go back to C * `#1300 `__: pgr_chinesePostman crash on test data pgRouting 3.1.0 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.1.0 `_ on Github. .. rubric:: New proposed functions * pgr_dijkstra(combinations) * pgr_dijkstraCost(combinations) .. rubric:: Build changes * Minimal requirement for Sphinx: version 1.8 pgRouting 3.0.6 Release Notes -------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.0.6 `_ on Github. .. rubric:: Issues fixes * `#2189 `__: Build error on RHEL 7 pgRouting 3.0.5 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.0.5 `_ on Github. .. rubric:: Backport issues fixes * `#1825 `__: Boost versions are not honored * `#1849 `__: Boost 1.75.0 geometry "point_xy.hpp" build error on macOS environment * `#1861 `__: vrp functions crash server pgRouting 3.0.4 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.0.4 `_ on Github. .. rubric:: Backport issues fixes * `#1304 `__: FreeBSD 12 64-bit crashes on pgr_vrOneDepot tests Experimental Function * `#1356 `__: tools/testers/pg_prove_tests.sh fails when PostgreSQL port is not passed * `#1725 `__: Server crash on pgr_pickDeliver and pgr_vrpOneDepot on openbsd * `#1760 `__: TSP server crash on ubuntu 20.04 #1760 * `#1770 `__: Remove warnings when using clang compiler pgRouting 3.0.3 Release Notes ------------------------------------------------------------------------------- .. rubric:: Backport issues fixes * `#1733 `__: pgr_bdAstar fails when source or target vertex does not exist in the graph * `#1647 `__: Linear Contraction contracts self loops * `#1640 `__: pgr_withPoints fails when points_sql is empty * `#1616 `__: Path evaluation on C++ not updated before the results go back to C * `#1300 `__: pgr_chinesePostman crash on test data pgRouting 3.0.2 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.0.2 `_ on Github. .. rubric:: Issues fixes * `#1378 `__: Visual Studio build failing pgRouting 3.0.1 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.0.1 `_ on Github. .. rubric:: Issues fixes * `#232 `__: Honor client cancel requests in C /C++ code pgRouting 3.0.0 Release Notes ------------------------------------------------------------------------------- To see all issues & pull requests closed by this release see the `Git closed milestone for 3.0.0 `_ on Github. .. rubric:: Fixed Issues * `#1153 `__: Renamed pgr_eucledianTSP to pgr_TSPeuclidean * `#1188 `__: Removed CGAL dependency * `#1002 `__: Fixed contraction issues: * `#1004 `__: Contracts when forbidden vertices do not belong to graph * `#1005 `__: Intermideate results eliminated * `#1006 `__: No loss of information .. rubric:: New functions * Kruskal family * pgr_kruskal * pgr_kruskalBFS * pgr_kruskalDD * pgr_kruskalDFS * Prim family * pgr_prim * pgr_primDD * pgr_primDFS * pgr_primBFS .. rubric:: Proposed moved to official on pgRouting * aStar Family * pgr_aStar(one to many) * pgr_aStar(many to one) * pgr_aStar(many to many) * pgr_aStarCost(one to one) * pgr_aStarCost(one to many) * pgr_aStarCost(many to one) * pgr_aStarCost(many to many) * pgr_aStarCostMatrix(one to one) * pgr_aStarCostMatrix(one to many) * pgr_aStarCostMatrix(many to one) * pgr_aStarCostMatrix(many to many) * bdAstar Family * pgr_bdAstar(one to many) * pgr_bdAstar(many to one) * pgr_bdAstar(many to many) * pgr_bdAstarCost(one to one) * pgr_bdAstarCost(one to many) * pgr_bdAstarCost(many to one) * pgr_bdAstarCost(many to many) * pgr_bdAstarCostMatrix(one to one) * pgr_bdAstarCostMatrix(one to many) * pgr_bdAstarCostMatrix(many to one) * pgr_bdAstarCostMatrix(many to many) * bdDijkstra Family * pgr_bdDijkstra(one to many) * pgr_bdDijkstra(many to one) * pgr_bdDijkstra(many to many) * pgr_bdDijkstraCost(one to one) * pgr_bdDijkstraCost(one to many) * pgr_bdDijkstraCost(many to one) * pgr_bdDijkstraCost(many to many) * pgr_bdDijkstraCostMatrix(one to one) * pgr_bdDijkstraCostMatrix(one to many) * pgr_bdDijkstraCostMatrix(many to one) * pgr_bdDijkstraCostMatrix(many to many) * Flow Family * pgr_pushRelabel(one to one) * pgr_pushRelabel(one to many) * pgr_pushRelabel(many to one) * pgr_pushRelabel(many to many) * pgr_edmondsKarp(one to one) * pgr_edmondsKarp(one to many) * pgr_edmondsKarp(many to one) * pgr_edmondsKarp(many to many) * pgr_boykovKolmogorov (one to one) * pgr_boykovKolmogorov (one to many) * pgr_boykovKolmogorov (many to one) * pgr_boykovKolmogorov (many to many) * pgr_maxCardinalityMatching * pgr_maxFlow * pgr_edgeDisjointPaths(one to one) * pgr_edgeDisjointPaths(one to many) * pgr_edgeDisjointPaths(many to one) * pgr_edgeDisjointPaths(many to many) * Components family * pgr_connectedComponents * pgr_strongComponents * pgr_biconnectedComponents * pgr_articulationPoints * pgr_bridges * Contraction: * Removed unnecessary column seq * Bug Fixes .. rubric:: New Experimental functions * pgr_maxFlowMinCost * pgr_maxFlowMinCost_Cost * pgr_extractVertices * pgr_turnRestrictedPath * pgr_stoerWagner * pgr_dagShortestpath * pgr_topologicalSort * pgr_transitiveClosure * VRP category * pgr_pickDeliverEuclidean * pgr_pickDeliver * Chinese Postman family * pgr_chinesePostman * pgr_chinesePostmanCost * Breadth First Search family * pgr_breadthFirstSearch * pgr_binaryBreadthFirstSearch * Bellman Ford family * pgr_bellmanFord * pgr_edwardMoore .. rubric:: Moved to legacy * Experimental functions * pgr_labelGraph - Use the components family of functions instead. * Max flow - functions were renamed on v2.5.0 * pgr_maxFlowPushRelabel * pgr_maxFlowBoykovKolmogorov * pgr_maxFlowEdmondsKarp * pgr_maximumcardinalitymatching * VRP * pgr_gsoc_vrppdtw * TSP old signatures * pgr_pointsAsPolygon * pgr_alphaShape old signature pgRouting 2.6.3 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed milestone for 2.6.3 `_ on Github. .. rubric:: Bug fixes * `#1219 `__ Implicit cast for via_path integer to text * `#1193 `__ Fixed pgr_pointsAsPolygon breaking when comparing strings in WHERE clause * `#1185 `__ Improve FindPostgreSQL.cmake pgRouting 2.6.2 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed milestone for 2.6.2 `_ on Github. .. rubric:: Bug fixes * `#1152 `__ Fixes driving distance when vertex is not part of the graph * `#1098 `__ Fixes windows test * `#1165 `__ Fixes build for python3 and perl5 pgRouting 2.6.1 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed milestone for 2.6.1 `_ on Github. * Fixes server crash on several functions. * pgr_floydWarshall * pgr_johnson * pgr_astar * pgr_bdAstar * pgr_bdDijstra * pgr_alphashape * pgr_dijkstraCostMatrix * pgr_dijkstra * pgr_dijkstraCost * pgr_drivingDistance * pgr_KSP * pgr_dijkstraVia (proposed) * pgr_boykovKolmogorov (proposed) * pgr_edgeDisjointPaths (proposed) * pgr_edmondsKarp (proposed) * pgr_maxCardinalityMatch (proposed) * pgr_maxFlow (proposed) * pgr_withPoints (proposed) * pgr_withPointsCost (proposed) * pgr_withPointsKSP (proposed) * pgr_withPointsDD (proposed) * pgr_withPointsCostMatrix (proposed) * pgr_contractGraph (experimental) * pgr_pushRelabel (experimental) * pgr_vrpOneDepot (experimental) * pgr_gsoc_vrppdtw (experimental) * Fixes for deprecated functions where also applied but not tested * Removed compilation warning for g++8 * Fixed a fallthrugh on Astar and bdAstar. pgRouting 2.6.0 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed milestone for 2.6.0 `_ on Github. .. rubric:: New experimental functions * pgr_lineGraphFull .. rubric:: Bug fixes * Fix pgr_trsp(text,integer,double precision,integer,double precision,boolean,boolean[,text]) * without restrictions * calls pgr_dijkstra when both end points have a fraction IN (0,1) * calls pgr_withPoints when at least one fraction NOT IN (0,1) * with restrictions * calls original trsp code .. rubric:: Internal code * Cleaned the internal code of trsp(text,integer,integer,boolean,boolean [, text]) * Removed the use of pointers * Internal code can accept BIGINT * Cleaned the internal code of withPoints pgRouting 2.5.5 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed milestone for 2.5.5 `_ on Github. .. rubric:: Bug fixes * Fixes driving distance when vertex is not part of the graph * Fixes windows test * Fixes build for python3 and perl5 pgRouting 2.5.4 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed milestone for 2.5.4 `_ on Github. * Fixes server crash on several functions. * pgr_floydWarshall * pgr_johnson * pgr_astar * pgr_bdAstar * pgr_bdDijstra * pgr_alphashape * pgr_dijkstraCostMatrix * pgr_dijkstra * pgr_dijkstraCost * pgr_drivingDistance * pgr_KSP * pgr_dijkstraVia (proposed) * pgr_boykovKolmogorov (proposed) * pgr_edgeDisjointPaths (proposed) * pgr_edmondsKarp (proposed) * pgr_maxCardinalityMatch (proposed) * pgr_maxFlow (proposed) * pgr_withPoints (proposed) * pgr_withPointsCost (proposed) * pgr_withPointsKSP (proposed) * pgr_withPointsDD (proposed) * pgr_withPointsCostMatrix (proposed) * pgr_contractGraph (experimental) * pgr_pushRelabel (experimental) * pgr_vrpOneDepot (experimental) * pgr_gsoc_vrppdtw (experimental) * Fixes for deprecated functions where also applied but not tested * Removed compilation warning for g++8 * Fixed a fallthrugh on Astar and bdAstar. pgRouting 2.5.3 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed milestone for 2.5.3 `_ on Github. .. rubric:: Bug fixes * Fix for postgresql 11: Removed a compilation error when compiling with postgreSQL pgRouting 2.5.2 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed milestone for 2.5.2 `_ on Github. .. rubric:: Bug fixes * Fix for postgresql 10.1: Removed a compiler condition pgRouting 2.5.1 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed milestone for 2.5.1 `_ on Github. .. rubric:: Bug fixes * Fixed prerequisite minimum version of: cmake pgRouting 2.5.0 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed issues for 2.5.0 `_ on Github. .. rubric:: enhancement: * pgr_version is now on SQL language .. rubric:: Breaking change on: * pgr_edgeDisjointPaths: * Added path_id, cost and agg_cost columns on the result * Parameter names changed * The many version results are the union of the one to one version .. rubric:: New Signatures: * pgr_bdAstar(one to one) .. rubric:: New Proposed functions * pgr_bdAstar(one to many) * pgr_bdAstar(many to one) * pgr_bdAstar(many to many) * pgr_bdAstarCost(one to one) * pgr_bdAstarCost(one to many) * pgr_bdAstarCost(many to one) * pgr_bdAstarCost(many to many) * pgr_bdAstarCostMatrix * pgr_bdDijkstra(one to many) * pgr_bdDijkstra(many to one) * pgr_bdDijkstra(many to many) * pgr_bdDijkstraCost(one to one) * pgr_bdDijkstraCost(one to many) * pgr_bdDijkstraCost(many to one) * pgr_bdDijkstraCost(many to many) * pgr_bdDijkstraCostMatrix * pgr_lineGraph * pgr_lineGraphFull * pgr_connectedComponents * pgr_strongComponents * pgr_biconnectedComponents * pgr_articulationPoints * pgr_bridges .. rubric:: Deprecated Signatures * pgr_bdastar - use pgr_bdAstar instead .. rubric:: Renamed Functions * pgr_maxFlowPushRelabel - use pgr_pushRelabel instead * pgr_maxFlowEdmondsKarp -use pgr_edmondsKarp instead * pgr_maxFlowBoykovKolmogorov - use pgr_boykovKolmogorov instead * pgr_maximumCardinalityMatching - use pgr_maxCardinalityMatch instead .. rubric:: Deprecated function * pgr_pointToEdgeNode pgRouting 2.4.2 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed milestone for 2.4.2 `_ on Github. .. rubric:: Improvement * Works for postgreSQL 10 .. rubric:: Bug fixes * Fixed: Unexpected error column "cname" * Replace __linux__ with __GLIBC__ for glibc-specific headers and functions pgRouting 2.4.1 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed milestone for 2.4.1 `_ on Github. .. rubric:: Bug fixes * Fixed compiling error on macOS * Condition error on pgr_withPoints pgRouting 2.4.0 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed issues for 2.4.0 `_ on Github. .. rubric:: New Signatures * pgr_bdDijkstra .. rubric:: New Proposed Signatures * pgr_maxFlow * pgr_astar(one to many) * pgr_astar(many to one) * pgr_astar(many to many) * pgr_astarCost(one to one) * pgr_astarCost(one to many) * pgr_astarCost(many to one) * pgr_astarCost(many to many) * pgr_astarCostMatrix .. rubric:: Deprecated Signatures * pgr_bddijkstra - use pgr_bdDijkstra instead .. rubric:: Deprecated Functions * pgr_pointsToVids .. rubric:: Bug fixes * Bug fixes on proposed functions * pgr_withPointsKSP: fixed ordering * TRSP original code is used with no changes on the compilation warnings pgRouting 2.3.2 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed issues for 2.3.2 `_ on Github. .. rubric:: Bug Fixes * Fixed pgr_gsoc_vrppdtw crash when all orders fit on one truck. * Fixed pgr_trsp: * Alternate code is not executed when the point is in reality a vertex * Fixed ambiguity on seq pgRouting 2.3.1 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed issues for 2.3.1 `_ on Github. .. rubric:: Bug Fixes * Leaks on proposed max_flow functions * Regression error on pgr_trsp * Types discrepancy on pgr_createVerticesTable pgRouting 2.3.0 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed issues for 2.3.0 `_ on Github. .. rubric:: New Signatures * pgr_TSP * pgr_aStar .. rubric:: New Functions * pgr_eucledianTSP .. rubric:: New Proposed functions * pgr_dijkstraCostMatrix * pgr_withPointsCostMatrix * pgr_maxFlowPushRelabel(one to one) * pgr_maxFlowPushRelabel(one to many) * pgr_maxFlowPushRelabel(many to one) * pgr_maxFlowPushRelabel(many to many) * pgr_maxFlowEdmondsKarp(one to one) * pgr_maxFlowEdmondsKarp(one to many) * pgr_maxFlowEdmondsKarp(many to one) * pgr_maxFlowEdmondsKarp(many to many) * pgr_maxFlowBoykovKolmogorov (one to one) * pgr_maxFlowBoykovKolmogorov (one to many) * pgr_maxFlowBoykovKolmogorov (many to one) * pgr_maxFlowBoykovKolmogorov (many to many) * pgr_maximumCardinalityMatching * pgr_edgeDisjointPaths(one to one) * pgr_edgeDisjointPaths(one to many) * pgr_edgeDisjointPaths(many to one) * pgr_edgeDisjointPaths(many to many) * pgr_contractGraph .. rubric:: Deprecated Signatures * pgr_tsp - use pgr_TSP or pgr_eucledianTSP instead * pgr_astar - use pgr_aStar instead .. rubric:: Deprecated Functions * pgr_flip_edges * pgr_vidsToDmatrix * pgr_pointsToDMatrix * pgr_textToPoints pgRouting 2.2.4 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed issues for 2.2.4 `_ on Github. .. rubric:: Bug Fixes * Bogus uses of extern "C" * Build error on Fedora 24 + GCC 6.0 * Regression error pgr_nodeNetwork pgRouting 2.2.3 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed issues for 2.2.3 `_ on Github. .. rubric:: Bug Fixes * Fixed compatibility issues with PostgreSQL 9.6. pgRouting 2.2.2 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed issues for 2.2.2 `_ on Github. .. rubric:: Bug Fixes * Fixed regression error on pgr_drivingDistance pgRouting 2.2.1 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed issues for 2.2.1 `_ on Github. .. rubric:: Bug Fixes * Server crash fix on pgr_alphaShape * Bug fix on With Points family of functions pgRouting 2.2.0 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed issues for 2.2.0 `_ on Github. .. rubric:: Improvements - pgr_nodeNetwork - Adding a row_where and outall optional parameters - Signature fix - pgr_dijkstra -- to match what is documented .. rubric:: New Functions - pgr_floydWarshall - pgr_Johnson - pgr_dijkstraCost(one to one) - pgr_dijkstraCost(one to many) - pgr_dijkstraCost(many to one) - pgr_dijkstraCost(many to many) .. rubric:: Proposed functionality - pgr_withPoints(one to one) - pgr_withPoints(one to many) - pgr_withPoints(many to one) - pgr_withPoints(many to many) - pgr_withPointsCost(one to one) - pgr_withPointsCost(one to many) - pgr_withPointsCost(many to one) - pgr_withPointsCost(many to many) - pgr_withPointsDD(single vertex) - pgr_withPointsDD(multiple vertices) - pgr_withPointsKSP - pgr_dijkstraVia .. rubric:: Deprecated functions: - pgr_apspWarshall use pgr_floydWarshall instead - pgr_apspJohnson use pgr_Johnson instead - pgr_kDijkstraCost use pgr_dijkstraCost instead - pgr_kDijkstraPath use pgr_dijkstra instead .. rubric:: Renamed and deprecated function - pgr_makeDistanceMatrix renamed to _pgr_makeDistanceMatrix pgRouting 2.1.0 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed issues for 2.1.0 `_ on Github. .. rubric:: New Signatures - pgr_dijkstra(one to many) - pgr_dijkstra(many to one) - pgr_dijkstra(many to many) - pgr_drivingDistance(multiple vertices) .. rubric:: Refactored - pgr_dijkstra(one to one) - pgr_ksp - pgr_drivingDistance(single vertex) .. rubric:: Improvements - pgr_alphaShape function now can generate better (multi)polygon with holes and alpha parameter. .. rubric:: Proposed functionality - Proposed functions from Steve Woodbridge, (Classified as Convenience by the author.) - pgr_pointToEdgeNode - convert a point geometry to a vertex_id based on closest edge. - pgr_flipEdges - flip the edges in an array of geometries so the connect end to end. - pgr_textToPoints - convert a string of x,y;x,y;... locations into point geometries. - pgr_pointsToVids - convert an array of point geometries into vertex ids. - pgr_pointsToDMatrix - Create a distance matrix from an array of points. - pgr_vidsToDMatrix - Create a distance matrix from an array of vertix_id. - pgr_vidsToDMatrix - Create a distance matrix from an array of vertix_id. - Added proposed functions from GSoc Projects: - pgr_vrppdtw - pgr_vrponedepot .. rubric:: Deprecated functions - pgr_getColumnName - pgr_getTableName - pgr_isColumnCndexed - pgr_isColumnInTable - pgr_quote_ident - pgr_versionless - pgr_startPoint - pgr_endPoint - pgr_pointToId .. rubric:: No longer supported - Removed the 1.x legacy functions .. rubric:: Bug Fixes - Some bug fixes in other functions .. rubric:: Refactoring Internal Code - A C and C++ library for developer was created - encapsulates postgreSQL related functions - encapsulates Boost.Graph graphs - Directed Boost.Graph - Undirected Boost.graph. - allow any-integer in the id's - allow any-numerical on the cost/reverse_cost columns - Instead of generating many libraries: - All functions are encapsulated in one library - The library has the prefix 2-1-0 pgRouting 2.0.1 Release Notes ------------------------------------------------------------------------------- Minor bug fixes. .. rubric:: Bug Fixes * No track of the bug fixes were kept. pgRouting 2.0.0 Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed issues for 2.0.0 `_ on Github. With the release of pgRouting 2.0.0 the library has abandoned backwards compatibility to `pgRouting 1.x Release Notes`_ releases. The main Goals for this release are: * Major restructuring of pgRouting. * Standardization of the function naming * Preparation of the project for future development. As a result of this effort: * pgRouting has a simplified structure * Significant new functionality has being added * Documentation has being integrated * Testing has being integrated * And made it easier for multiple developers to make contributions. .. rubric:: Important Changes * Graph Analytics - tools for detecting and fixing connection some problems in a graph * A collection of useful utility functions * Two new All Pairs Short Path algorithms (pgr_apspJohnson, pgr_apspWarshall) * Bi-directional Dijkstra and A-star search algorithms (pgr_bdAstar, pgr_bdDijkstra) * One to many nodes search (pgr_kDijkstra) * K alternate paths shortest path (pgr_ksp) * New TSP solver that simplifies the code and the build process (pgr_tsp), dropped "Gaul Library" dependency * Turn Restricted shortest path (pgr_trsp) that replaces Shooting Star * Dropped support for Shooting Star * Built a test infrastructure that is run before major code changes are checked in * Tested and fixed most all of the outstanding bugs reported against 1.x that existing in the 2.0-dev code base. * Improved build process for Windows * Automated testing on Linux and Windows platforms trigger by every commit * Modular library design * Compatibility with PostgreSQL 9.1 or newer * Compatibility with PostGIS 2.0 or newer * Installs as PostgreSQL EXTENSION * Return types re factored and unified * Support for table SCHEMA in function parameters * Support for ``st_`` PostGIS function prefix * Added ``pgr_`` prefix to functions and types * Better documentation: https://docs.pgrouting.org * shooting_star is discontinued pgRouting 1.x Release Notes ------------------------------------------------------------------------------- To see the issues closed by this release see the `Git closed issues for 1.x `_ on Github. The following release notes have been copied from the previous ``RELEASE_NOTES`` file and are kept as a reference. Changes for release 1.05 ............................................................................... * Bug fixes Changes for release 1.03 ............................................................................... * Much faster topology creation * Bug fixes Changes for release 1.02 ............................................................................... * Shooting* bug fixes * Compilation problems solved Changes for release 1.01 ............................................................................... * Shooting* bug fixes Changes for release 1.0 ............................................................................... * Core and extra functions are separated * Cmake build process * Bug fixes Changes for release 1.0.0b ............................................................................... * Additional SQL file with more simple names for wrapper functions * Bug fixes Changes for release 1.0.0a ............................................................................... * Shooting* shortest path algorithm for real road networks * Several SQL bugs were fixed Changes for release 0.9.9 ............................................................................... * PostgreSQL 8.2 support * Shortest path functions return empty result if they could not find any path Changes for release 0.9.8 ............................................................................... * Renumbering scheme was added to shortest path functions * Directed shortest path functions were added * routing_postgis.sql was modified to use dijkstra in TSP search pgrouting-3.3.0/doc/src/routingFunctions.rst000066400000000000000000000103231414350551100211770ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ ******************************************************************************* Function Families ******************************************************************************* .. from-here :doc:`allpairs-family` .. include:: allpairs-family.rst :start-after: index from here :end-before: index to here :doc:`aStar-family` .. include:: aStar-family.rst :start-after: index from here :end-before: index to here :doc:`bdAstar-family` .. include:: bdAstar-family.rst :start-after: index from here :end-before: index to here :doc:`bdDijkstra-family` .. include:: bdDijkstra-family.rst :start-after: index from here :end-before: index to here :doc:`components-family` .. include:: components-family.rst :start-after: index from here :end-before: index to here :doc:`contraction-family` .. include:: contraction-family.rst :start-after: index from here :end-before: index to here :doc:`dijkstra-family` .. include:: dijkstra-family.rst :start-after: index from here :end-before: index to here :doc:`flow-family` .. include:: flow-family.rst :start-after: index from here :end-before: index to here :doc:`kruskal-family` .. include:: kruskal-family.rst :start-after: index from here :end-before: index to here :doc:`prim-family` .. include:: prim-family.rst :start-after: index from here :end-before: index to here :doc:`topology-functions` .. include:: topology-functions.rst :start-after: topology_index_start :end-before: topology_index_end :doc:`TSP-family` .. include:: TSP-family.rst :start-after: index from here :end-before: index to here :doc:`pgr_trsp` - Turn Restriction Shortest Path (TRSP) Functions by categories =============================================================================== :doc:`cost-category` .. include:: cost-category.rst :start-after: index from here :end-before: index to here :doc:`costMatrix-category` .. include:: costMatrix-category.rst :start-after: index from here :end-before: index to here :doc:`drivingDistance-category` .. include:: drivingDistance-category.rst :start-after: index from here :end-before: index to here :doc:`KSP-category` .. include:: KSP-category.rst :start-after: index from here :end-before: index to here :doc:`spanningTree-family` .. include:: spanningTree-family.rst :start-after: index from here :end-before: index to here .. to-here .. toctree:: :hidden: allpairs-family aStar-family bdAstar-family bdDijkstra-family components-family contraction-family dijkstra-family flow-family kruskal-family prim-family topology-functions TSP-family spanningTree-family KSP-category pgr_trsp .. toctree:: :hidden: cost-category costMatrix-category drivingDistance-category spanningTree-family See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/src/sampledata.rst000066400000000000000000000114321414350551100177340ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ Sample Data =============================================================================== The documentation provides very simple example queries based on a small sample network. To be able to execute the sample queries, run the following SQL commands to create a table with a small network data set. .. rubric:: Create table .. literalinclude:: ../../tools/testers/sampledata.sql :start-after: --EDGE TABLE CREATE start :end-before: --EDGE TABLE CREATE end .. rubric:: Insert data .. literalinclude:: ../../tools/testers/sampledata.sql :start-after: --EDGE TABLE ADD DATA start :end-before: --EDGE TABLE ADD DATA end .. rubric:: Updating geometry .. literalinclude:: ../../tools/testers/sampledata.sql :start-after: --EDGE TABLE update geometry start :end-before: --EDGE TABLE update geometry end .. rubric:: Topology - Before you test a routing function use this query to create a topology (fills the ``source`` and ``target`` columns). .. literalinclude:: ../../tools/testers/sampledata.sql :start-after: --EDGE TABLE TOPOLOGY start :end-before: --EDGE TABLE TOPOLOGY end .. rubric:: Combinations of start and end vertices - Used to test the combinations_sql signature in dijkstra-like functions. .. literalinclude:: ../../tools/testers/sampledata.sql :start-after: --COMBINATIONS CREATE start :end-before: --COMBINATIONS CREATE end .. rubric:: Points of interest - When points outside of the graph. - Used with the :doc:`withPoints-family` functions. .. literalinclude:: ../../tools/testers/sampledata.sql :start-after: --POINTS CREATE start :end-before: --POINTS CREATE end .. rubric:: Restrictions - Used with the :doc:`pgr_trsp` functions. .. literalinclude:: ../../tools/testers/sampledata.sql :start-after: --RESTRICTIONS CREATE start :end-before: --RESTRICTIONS CREATE end Images ---------------- * Red arrows correspond when ``cost`` > 0 in the edge table. * Blue arrows correspond when ``reverse_cost`` > 0 in the edge table. * Points are outside the graph. * Click on the graph to enlarge. .. _fig1: Network for queries marked as ``directed`` and ``cost`` and ``reverse_cost`` columns are used ...................................................................................................... When working with city networks, this is recommended for point of view of vehicles. .. figure:: /images/Fig1-originalData.png **Graph 1: Directed, with cost and reverse cost** .. _fig2: Network for queries marked as ``undirected`` and ``cost`` and ``reverse_cost`` columns are used ...................................................................................................... When working with city networks, this is recommended for point of view of pedestrians. .. figure:: /images/Fig6-undirected.png :scale: 50% **Graph 2: Undirected, with cost and reverse cost** .. _fig3: Network for queries marked as ``directed`` and only ``cost`` column is used ...................................................................................................... .. figure:: /images/Fig2-cost.png :scale: 20% **Graph 3: Directed, with cost** .. _fig4: Network for queries marked as ``undirected`` and only ``cost`` column is used ...................................................................................................... .. figure:: /images/Fig4-costUndirected.png :scale: 20% **Graph 4: Undirected, with cost** .. _pickdeliverdata: Pick & Deliver Data ............................................................................... .. literalinclude:: ../../tools/testers/vrppdtw_data.sql pgrouting-3.3.0/doc/src/support.rst000066400000000000000000000104571414350551100173430ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ Support =============================================================================== pgRouting community support is available through the `pgRouting website `_, `documentation `_, tutorials, mailing lists and others. If you’re looking for :ref:`commercial support `, find below a list of companies providing pgRouting development and consulting services. Reporting Problems ------------------------------------------------------------------------------- Bugs are reported and managed in an `issue tracker `_. Please follow these steps: 1. Search the tickets to see if your problem has already been reported. If so, add any extra context you might have found, or at least indicate that you too are having the problem. This will help us prioritize common issues. 2. If your problem is unreported, create a `new issue `__ for it. 3. In your report include explicit instructions to replicate your issue. The best tickets include the exact SQL necessary to replicate a problem. 4. If you can test older versions of PostGIS for your problem, please do. On your ticket, note the earliest version the problem appears. 5. For the versions where you can replicate the problem, note the operating system and version of pgRouting, PostGIS and PostgreSQL. 6. It is recommended to use the following wrapper on the problem to pin point the step that is causing the problem. .. code-block:: sql SET client_min_messages TO debug; SET client_min_messages TO notice; Mailing List and GIS StackExchange ------------------------------------------------------------------------------- There are two mailing lists for pgRouting hosted on OSGeo mailing list server: * User mailing list: https://lists.osgeo.org/mailman/listinfo/pgrouting-users * Developer mailing list: https://lists.osgeo.org/mailman/listinfo/pgrouting-dev For general questions and topics about how to use pgRouting, please write to the user mailing list. You can also ask at `GIS StackExchange `_ and tag the question with ``pgrouting``. Find all questions tagged with ``pgrouting`` under https://gis.stackexchange.com/questions/tagged/pgrouting or subscribe to the `pgRouting questions feed `_. .. _support_commercial: Commercial Support ------------------------------------------------------------------------------- For users who require professional support, development and consulting services, consider contacting any of the following organizations, which have significantly contributed to the development of pgRouting: .. list-table:: :widths: 100 160 200 * - **Company** - **Offices in** - **Website** * - Georepublic - Germany, Japan - https://georepublic.info * - Paragon Corporation - United States - https://www.paragoncorporation.com * - Netlab - Capranica, Italy - https://www.osgeo.org/service-providers/netlab/ pgrouting-3.3.0/doc/topologicalSort/000077500000000000000000000000001414350551100174635ustar00rootroot00000000000000pgrouting-3.3.0/doc/topologicalSort/CMakeLists.txt000066400000000000000000000004611414350551100222240ustar00rootroot00000000000000 SET(LOCAL_FILES pgr_topologicalSort.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/topologicalSort/pgr_topologicalSort.rst000066400000000000000000000122501414350551100242510ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: http://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_topologicalSort - Experimental =============================================================================== ``pgr_topologicalSort`` — Returns the linear ordering of the vertices(s) for weighted directed acyclic graphs(DAG). In particular, the topological sort algorithm implemented by Boost.Graph. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/topological_sort.html Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.0.0 * New **experimental** function * **TBD** Description ------------------------------------------------------------------------------- The topological sort algorithm creates a linear ordering of the vertices such that if edge (u,v) appears in the graph, then v comes before u in the ordering. This implementation can only be used with a **directed** graph with no cycles i.e. directed acyclic graph. The main characteristics are: - Process is valid for directed acyclic graphs only. otherwise it will throw warnings. - For optimization purposes, if there are more than one answer, the function will return one of them. - The returned values are ordered in topological order: * Running time: :math:`O( (V + E))` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. index:: single: topologicalSort - Experimental on v3.0 .. code-block:: none pgr_topologicalSort(edges_sql) RETURNS SET OF (seq, sorted_v) OR EMPTY SET :Example: For a **directed** graph .. literalinclude:: doc-topologicalSort.queries :start-after: -- q1 :end-before: -- q2 Parameters ------------------------------------------------------------------------------- =================== ====================== ========= ================================================= Parameter Type Default Description =================== ====================== ========= ================================================= **edges_sql** ``TEXT`` SQL query as described above. =================== ====================== ========= ================================================= Inner query ------------------------------------------------------------------------------- :edges_sql: an SQL query, which should return a set of rows with the following columns: ================= =================== ======== ================================================= Column Type Default Description ================= =================== ======== ================================================= **id** ``ANY-INTEGER`` Identifier of the edge. **source** ``ANY-INTEGER`` Identifier of the first end point vertex of the edge. **target** ``ANY-INTEGER`` Identifier of the second end point vertex of the edge. **cost** ``ANY-NUMERICAL`` Weight of the edge `(source, target)` - When negative: edge `(source, target)` does not exist, therefore it's not part of the graph. **reverse_cost** ``ANY-NUMERICAL`` -1 Weight of the edge `(target, source)`, - When negative: edge `(target, source)` does not exist, therefore it's not part of the graph. ================= =================== ======== ================================================= Where: :ANY-INTEGER: SMALLINT, INTEGER, BIGINT :ANY-NUMERICAL: SMALLINT, INTEGER, BIGINT, REAL, FLOAT Result Columns ------------------------------------------------------------------------------- Returns set of ``(seq, sorted_v)`` =============== =========== ============================================================ Column Type Description =============== =========== ============================================================ **seq** ``INT`` Sequential value starting from **1**. **sorted_v** ``BIGINT`` Linear ordering of the vertices(ordered in topological order) =============== =========== ============================================================ See Also ------------------------------------------------------------------------------- * https://en.wikipedia.org/wiki/Topological_sorting * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/topology/000077500000000000000000000000001414350551100161535ustar00rootroot00000000000000pgrouting-3.3.0/doc/topology/CMakeLists.txt000066400000000000000000000010471414350551100207150ustar00rootroot00000000000000 SET(LOCAL_FILES pgr_analyzeGraph.rst pgr_createTopology.rst pgr_nodeNetwork.rst pgr_analyzeOneWay.rst pgr_createVerticesTable.rst pgr_extractVertices.rst topology-functions.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() add_subdirectory("images") set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) set(PROJECT_IMG_FILES ${PROJECT_IMG_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/topology/images/000077500000000000000000000000001414350551100174205ustar00rootroot00000000000000pgrouting-3.3.0/doc/topology/images/CMakeLists.txt000066400000000000000000000006331414350551100221620ustar00rootroot00000000000000 SET(LOCAL_FILES after_node_net.png before_node_net.png #Fig3-reverseCost.png #Fig5-reverseCostUndirected.png ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/images/${f}" COPYONLY) list(APPEND LOCAL_IMG_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/images/${f}") endforeach() set(PROJECT_IMG_FILES ${PROJECT_IMG_FILES} ${LOCAL_IMG_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/topology/images/Fig3-reverseCost.png000066400000000000000000001011261414350551100232210ustar00rootroot00000000000000‰PNG  IHDR¡ué )gbKGDÿÿÿ ½§“ pHYsÄÄ•+tIMEß'¥œY¯ IDATxÚìÝyxSuÚÆño’¦M7Z”†½eG â‚8€ "jt@aT©PQñ­"*n82€h•eDDFF‰ààʸƒP¥Z”¡ÊŠP(¥I×ô¼EhRZZ’ûs]¹(9'ɯÏóKr÷$ç“a"""""gY%…PQQ…P…PQQ…PQQ…P…PQQ…P…PQ…P…PQQ…P…PQ…P…PQQ…P…PQQ…PQQ…P…P9+„©""'–ŸŸONN.— 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**************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ pgr_analyzeGraph =============================================================================== ``pgr_analyzeGraph`` — Analyzes the network topology. .. rubric:: Availability * Version 2.0.0 * **Official** function Description ------------------------------------------------------------------------------- The function returns: - ``OK`` after the analysis has finished. - ``FAIL`` when the analysis was not completed due to an error. .. index:: single: analyzeGraph .. code-block:: sql varchar pgr_analyzeGraph(text edge_table, double precision tolerance, text the_geom:='the_geom', text id:='id', text source:='source',text target:='target',text rows_where:='true') .. rubric:: Prerequisites The edge table to be analyzed must contain a source column and a target column filled with id's of the vertices of the segments and the corresponding vertices table _vertices_pgr that stores the vertices information. - Use :doc:`pgr_createVerticesTable ` to create the vertices table. - Use :doc:`pgr_createTopology ` to create the topology and the vertices table. Parameters ------------------------------------------------------------------------------- The analyze graph function accepts the following parameters: :edge_table: ``text`` Network table name. (may contain the schema name as well) :tolerance: ``float8`` Snapping tolerance of disconnected edges. (in projection unit) :the_geom: ``text`` Geometry column name of the network table. Default value is ``the_geom``. :id: ``text`` Primary key column name of the network table. Default value is ``id``. :source: ``text`` Source column name of the network table. Default value is ``source``. :target: ``text`` Target column name of the network table. Default value is ``target``. :rows_where: ``text`` Condition to select a subset or rows. Default value is ``true`` to indicate all rows. The function returns: - ``OK`` after the analysis has finished. * Uses the vertices table: _vertices_pgr. * Fills completely the ``cnt`` and ``chk`` columns of the vertices table. * Returns the analysis of the section of the network defined by ``rows_where`` - ``FAIL`` when the analysis was not completed due to an error. * The vertices table is not found. * A required column of the Network table is not found or is not of the appropriate type. * The condition is not well formed. * The names of source , target or id are the same. * The SRID of the geometry could not be determined. .. rubric:: The Vertices Table The vertices table can be created with :doc:`pgr_createVerticesTable ` or :doc:`pgr_createTopology ` The structure of the vertices table is: :id: ``bigint`` Identifier of the vertex. :cnt: ``integer`` Number of vertices in the edge_table that reference this vertex. :chk: ``integer`` Indicator that the vertex might have a problem. :ein: ``integer`` Number of vertices in the edge_table that reference this vertex as incoming. See :doc:`pgr_analyzeOneWay `. :eout: ``integer`` Number of vertices in the edge_table that reference this vertex as outgoing. See :doc:`pgr_analyzeOneWay `. :the_geom: ``geometry`` Point geometry of the vertex. Usage when the edge table's columns MATCH the default values: ............................................................................... .. rubric:: The simplest way to use pgr_analyzeGraph is: .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q1 :end-before: -- q1.1 .. rubric:: When the arguments are given in the order described in the parameters: .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q3 :end-before: -- q3.1 We get the same result as the simplest way to use the function. .. warning:: | An error would occur when the arguments are not given in the appropriate order: In this example, the column ``id`` of the table ``mytable`` is passed to the function as the geometry column, and the geometry column ``the_geom`` is passed to the function as the id column. .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q5 :end-before: -- q5.1 .. rubric:: When using the named notation The order of the parameters do not matter: .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q6 :end-before: -- q6.1 .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q7 :end-before: -- q7.1 Parameters defined with a default value can be omitted, as long as the value matches the default: .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q8 :end-before: -- q8.1 .. rubric:: Selecting rows using rows_where parameter Selecting rows based on the id. Displays the analysis a the section of the network. .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q9 :end-before: -- q9.1 Selecting the rows where the geometry is near the geometry of row with ``id`` =5 . .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q10 :end-before: -- q10.1 Selecting the rows where the geometry is near the geometry of the row with ``gid`` =100 of the table ``othertable``. .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q11 :end-before: -- q11.1 Usage when the edge table's columns DO NOT MATCH the default values: ............................................................................... For the following table .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q12 :end-before: -- q12.1 .. rubric:: Using positional notation: The arguments need to be given in the order described in the parameters: .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q13 :end-before: -- q13.1 .. warning:: | An error would occur when the arguments are not given in the appropriate order: In this example, the column ``gid`` of the table ``mytable`` is passed to the function as the geometry column, and the geometry column ``mygeom`` is passed to the function as the id column. .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q14 :end-before: -- q14.1 .. rubric:: When using the named notation The order of the parameters do not matter: .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q15 :end-before: -- q15.1 .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q16 :end-before: -- q16.1 In this scenario omitting a parameter would create an error because the default values for the column names do not match the column names of the table. .. rubric:: Selecting rows using rows_where parameter Selecting rows based on the id. .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q17 :end-before: -- q17.1 .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q18 :end-before: -- q18.1 Selecting the rows WHERE the geometry is near the geometry of row with ``id`` =5 . .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q19 :end-before: -- q19.1 .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q20 :end-before: -- q20.1 Selecting the rows WHERE the geometry is near the place='myhouse' of the table ``othertable``. (note the use of quote_literal) .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q21 :end-before: -- q21.1 .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q22 :end-before: -- q22.1 Additional Examples ------------------------------------------------------------------------------- .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q23 :end-before: -- q23.1 .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q24 :end-before: -- q24.1 .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q25 :end-before: -- q25.1 .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q26 :end-before: -- q26.1 .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q27 :end-before: -- q27.1 .. literalinclude:: doc-pgr_analyzeGraph.queries :start-after: -- q28 :end-before: -- q28.1 The examples use the :doc:`sampledata` network. See Also ------------------------------------------------------------------------------- * :doc:`topology-functions` for an overview of a topology for routing algorithms. * :doc:`pgr_analyzeOneWay` to analyze directionality of the edges. * :doc:`pgr_createVerticesTable ` to reconstruct the vertices table based on the source and target information. * :doc:`pgr_nodeNetwork ` to create nodes to a not noded edge table. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/topology/pgr_analyzeOneWay.rst000066400000000000000000000154461414350551100223550ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ pgr_analyzeOneWay =============================================================================== ``pgr_analyzeOneWay`` — Analyzes oneway Sstreets and identifies flipped segments. This function analyzes oneway streets in a graph and identifies any flipped segments. .. rubric:: Availability * Version 2.0.0 * **Official** function Description ------------------------------------------------------------------------------- The analyses of one way segments is pretty simple but can be a powerful tools to identifying some the potential problems created by setting the direction of a segment the wrong way. A node is a `source` if it has edges the exit from that node and no edges enter that node. Conversely, a node is a `sink` if all edges enter the node but none exit that node. For a `source` type node it is logically impossible to exist because no vehicle can exit the node if no vehicle and enter the node. Likewise, if you had a `sink` node you would have an infinite number of vehicle piling up on this node because you can enter it but not leave it. So why do we care if the are not feasible? Well if the direction of an edge was reversed by mistake we could generate exactly these conditions. Think about a divided highway and on the north bound lane one segment got entered wrong or maybe a sequence of multiple segments got entered wrong or maybe this happened on a round-about. The result would be potentially a `source` and/or a `sink` node. So by counting the number of edges entering and exiting each node we can identify both `source` and `sink` nodes so that you can look at those areas of your network to make repairs and/or report the problem back to your data vendor. .. rubric:: Prerequisites The edge table to be analyzed must contain a source column and a target column filled with id's of the vertices of the segments and the corresponding vertices table _vertices_pgr that stores the vertices information. - Use :doc:`pgr_createVerticesTable ` to create the vertices table. - Use :doc:`pgr_createTopology ` to create the topology and the vertices table. Signatures ------------------------------------------------------------------------------- .. code-block:: sql text pgr_analyzeOneWay(geom_table text, text[] s_in_rules, text[] s_out_rules, text[] t_in_rules, text[] t_out_rules, text oneway='oneway', text source='source', text target='target', boolean two_way_if_null=true); Parameters ------------------------------------------------------------------------------- :edge_table: ``text`` Network table name. (may contain the schema name as well) :s_in_rules: ``text[]`` source node **in** rules :s_out_rules: ``text[]`` source node **out** rules :t_in_rules: ``text[]`` target node **in** rules :t_out_rules: ``text[]`` target node **out** rules :oneway: ``text`` oneway column name name of the network table. Default value is ``oneway``. :source: ``text`` Source column name of the network table. Default value is ``source``. :target: ``text`` Target column name of the network table. Default value is ``target``. :two_way_if_null: ``boolean`` flag to treat oneway NULL values as bi-directional. Default value is ``true``. .. note:: It is strongly recommended to use the named notation. See :doc:`pgr_createVerticesTable ` or :doc:`pgr_createTopology ` for examples. The function returns: - ``OK`` after the analysis has finished. * Uses the vertices table: _vertices_pgr. * Fills completely the ``ein`` and ``eout`` columns of the vertices table. - ``FAIL`` when the analysis was not completed due to an error. * The vertices table is not found. * A required column of the Network table is not found or is not of the appropriate type. * The names of source , target or oneway are the same. The rules are defined as an array of text strings that if match the ``oneway`` value would be counted as ``true`` for the source or target **in** or **out** condition. .. rubric:: The Vertices Table The vertices table can be created with :doc:`pgr_createVerticesTable ` or :doc:`pgr_createTopology ` The structure of the vertices table is: :id: ``bigint`` Identifier of the vertex. :cnt: ``integer`` Number of vertices in the edge_table that reference this vertex. See :doc:`pgr_analyzeGgraph `. :chk: ``integer`` Indicator that the vertex might have a problem. See :doc:`pgr_analyzeGraph `. :ein: ``integer`` Number of vertices in the edge_table that reference this vertex as incoming. :eout: ``integer`` Number of vertices in the edge_table that reference this vertex as outgoing. :the_geom: ``geometry`` Point geometry of the vertex. Additional Examples ------------------------------------------------------------------------------- .. literalinclude:: doc-pgr_analyzeOneWay.queries :start-after: --q1 :end-before: --q1.1 The queries use the :doc:`sampledata` network. See Also ------------------------------------------------------------------------------- * :doc:`topology-functions` for an overview of a topology for routing algorithms. * :ref:`analytics` for an overview of the analysis of a graph. * :doc:`pgr_analyzeGraph` to analyze the edges and vertices of the edge table. * :doc:`pgr_createVerticesTable` to reconstruct the vertices table based on the source and target information. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/topology/pgr_createTopology.rst000066400000000000000000000244141414350551100225620ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ pgr_createTopology =============================================================================== ``pgr_createTopology`` — Builds a network topology based on the geometry information. .. rubric:: Availability * Version 2.0.0 * Renamed from version 1.x * **Official** function .. rubric:: Support * **Supported versions:** current(`3.1 `__) `3.0 `__ `2.6 `__ * **Unsupported versions:** `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ Description ------------------------------------------------------------------------------- The function returns: - ``OK`` after the network topology has been built and the vertices table created. - ``FAIL`` when the network topology was not built due to an error. Signatures ------------------------------------------------------------------------------- .. code-block:: none varchar pgr_createTopology(text edge_table, double precision tolerance, text the_geom:='the_geom', text id:='id', text source:='source',text target:='target', text rows_where:='true', boolean clean:=false) Parameters ------------------------------------------------------------------------------- The topology creation function accepts the following parameters: :edge_table: ``text`` Network table name. (may contain the schema name AS well) :tolerance: ``float8`` Snapping tolerance of disconnected edges. (in projection unit) :the_geom: ``text`` Geometry column name of the network table. Default value is ``the_geom``. :id: ``text`` Primary key column name of the network table. Default value is ``id``. :source: ``text`` Source column name of the network table. Default value is ``source``. :target: ``text`` Target column name of the network table. Default value is ``target``. :rows_where: ``text`` Condition to SELECT a subset or rows. Default value is ``true`` to indicate all rows that where ``source`` or ``target`` have a null value, otherwise the condition is used. :clean: ``boolean`` Clean any previous topology. Default value is ``false``. .. warning:: The ``edge_table`` will be affected - The ``source`` column values will change. - The ``target`` column values will change. - An index will be created, if it doesn't exists, to speed up the process to the following columns: * ``id`` * ``the_geom`` * ``source`` * ``target`` The function returns: - ``OK`` after the network topology has been built. * Creates a vertices table: _vertices_pgr. * Fills ``id`` and ``the_geom`` columns of the vertices table. * Fills the source and target columns of the edge table referencing the ``id`` of the vertices table. - ``FAIL`` when the network topology was not built due to an error: * A required column of the Network table is not found or is not of the appropriate type. * The condition is not well formed. * The names of source , target or id are the same. * The SRID of the geometry could not be determined. .. rubric:: The Vertices Table The vertices table is a requirement of the :doc:`pgr_analyzeGraph ` and the :doc:`pgr_analyzeOneWay ` functions. The structure of the vertices table is: :id: ``bigint`` Identifier of the vertex. :cnt: ``integer`` Number of vertices in the edge_table that reference this vertex. See :doc:`pgr_analyzeGraph `. :chk: ``integer`` Indicator that the vertex might have a problem. See :doc:`pgr_analyzeGraph `. :ein: ``integer`` Number of vertices in the edge_table that reference this vertex AS incoming. See :doc:`pgr_analyzeOneWay `. :eout: ``integer`` Number of vertices in the edge_table that reference this vertex AS outgoing. See :doc:`pgr_analyzeOneWay `. :the_geom: ``geometry`` Point geometry of the vertex. Usage when the edge table's columns MATCH the default values: ............................................................................... The simplest way to use pgr_createTopology is: .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q1 :end-before: --q1.1 .. rubric:: When the arguments are given in the order described in the parameters: We get the same result AS the simplest way to use the function. .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q2 :end-before: --q2.1 .. warning:: | An error would occur when the arguments are not given in the appropriate order: | In this example, the column ``id`` of the table ``ege_table`` is passed to the function as the geometry column, | and the geometry column ``the_geom`` is passed to the function as the id column. .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q3 :end-before: --q3.1 .. rubric:: When using the named notation Parameters defined with a default value can be omitted, as long as the value matches the default And The order of the parameters would not matter. .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q4 :end-before: --q4.1 .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q5 :end-before: --q5.1 .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q6 :end-before: --q6.1 .. rubric:: Selecting rows using rows_where parameter Selecting rows based on the id. .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q7 :end-before: --q7.1 Selecting the rows where the geometry is near the geometry of row with ``id = 5``. .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q8 :end-before: --q8.1 Selecting the rows where the geometry is near the geometry of the row with ``gid`` =100 of the table ``othertable``. .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q9 :end-before: --q9.1 Usage when the edge table's columns DO NOT MATCH the default values: ............................................................................... For the following table .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q10 :end-before: --q10.1 .. rubric:: Using positional notation: The arguments need to be given in the order described in the parameters. Note that this example uses clean flag. So it recreates the whole vertices table. .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q11 :end-before: --q11.1 .. warning:: | An error would occur when the arguments are not given in the appropiriate order: | In this example, the column ``gid`` of the table ``mytable`` is passed to the function AS the geometry column, | and the geometry column ``mygeom`` is passed to the function AS the id column. .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q12 :end-before: --q12.1 .. rubric:: When using the named notation In this scenario omitting a parameter would create an error because the default values for the column names do not match the column names of the table. The order of the parameters do not matter: .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q13 :end-before: --q13.1 .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q14 :end-before: --q14.1 .. rubric:: Selecting rows using rows_where parameter Based on id: .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q15 :end-before: --q15.1 Selecting the rows where the geometry is near the geometry of the row with ``gid`` =100 of the table ``othertable``. .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q16 :end-before: --q16.1 Additional Examples ------------------------------------------------------------------------------- :Example: With full output This example start a clean topology, with 5 edges, and then its incremented to the rest of the edges. .. literalinclude:: doc-pgr_createTopology.queries :start-after: --q17 :end-before: --q17.1 The example uses the :doc:`sampledata` network. See Also ------------------------------------------------------------------------------- * :doc:`topology-functions` for an overview of a topology for routing algorithms. * :doc:`pgr_createVerticesTable` to reconstruct the vertices table based on the source and target information. * :doc:`pgr_analyzeGraph` to analyze the edges and vertices of the edge table. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/topology/pgr_createVerticesTable.rst000066400000000000000000000230161414350551100234770ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ pgr_createVerticesTable =============================================================================== ``pgr_createVerticesTable`` — Reconstructs the vertices table based on the source and target information. .. rubric:: Availability * Version 2.0.0 * Renamed from version 1.x * **Official** function Description ------------------------------------------------------------------------------- The function returns: - ``OK`` after the vertices table has been reconstructed. - ``FAIL`` when the vertices table was not reconstructed due to an error. Signatures ------------------------------------------------------------------------------- .. code-block:: sql pgr_createVerticesTable(edge_table, the_geom, source, target, rows_where) RETURNS VARCHAR Parameters ------------------------------------------------------------------------------- The reconstruction of the vertices table function accepts the following parameters: :edge_table: ``text`` Network table name. (may contain the schema name as well) :the_geom: ``text`` Geometry column name of the network table. Default value is ``the_geom``. :source: ``text`` Source column name of the network table. Default value is ``source``. :target: ``text`` Target column name of the network table. Default value is ``target``. :rows_where: ``text`` Condition to SELECT a subset or rows. Default value is ``true`` to indicate all rows. .. warning:: The ``edge_table`` will be affected - An index will be created, if it doesn't exists, to speed up the process to the following columns: * ``the_geom`` * ``source`` * ``target`` The function returns: - ``OK`` after the vertices table has been reconstructed. * Creates a vertices table: _vertices_pgr. * Fills ``id`` and ``the_geom`` columns of the vertices table based on the source and target columns of the edge table. - ``FAIL`` when the vertices table was not reconstructed due to an error. * A required column of the Network table is not found or is not of the appropriate type. * The condition is not well formed. * The names of source, target are the same. * The SRID of the geometry could not be determined. .. rubric:: The Vertices Table The vertices table is a requierment of the :doc:`pgr_analyzeGraph ` and the :doc:`pgr_analyzeOneWay ` functions. The structure of the vertices table is: :id: ``bigint`` Identifier of the vertex. :cnt: ``integer`` Number of vertices in the edge_table that reference this vertex. See :doc:`pgr_analyzeGraph `. :chk: ``integer`` Indicator that the vertex might have a problem. See :doc:`pgr_analyzeGraph `. :ein: ``integer`` Number of vertices in the edge_table that reference this vertex as incoming. See :doc:`pgr_analyzeOneWay `. :eout: ``integer`` Number of vertices in the edge_table that reference this vertex as outgoing. See :doc:`pgr_analyzeOneWay `. :the_geom: ``geometry`` Point geometry of the vertex. :Example 1: The simplest way to use pgr_createVerticesTable .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q1 :end-before: --q1.1 Additional Examples ------------------------------------------------------------------------------- :Example 2: When the arguments are given in the order described in the parameters: .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q2 :end-before: --q2.1 We get the same result as the simplest way to use the function. .. warning:: An error would occur when the arguments are not given in the appropriate order: In this example, the column source column ``source`` of the table ``mytable`` is passed to the function as the geometry column, and the geometry column ``the_geom`` is passed to the function as the source column. .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q2.1 :end-before: --q2.2 .. rubric:: When using the named notation :Example 3: The order of the parameters do not matter: .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q3.1 :end-before: --q3.2 :Example 4: Using a different ordering .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q4 :end-before: --q4.1 :Example 5: Parameters defined with a default value can be omitted, as long as the value matches the default: .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q5 :end-before: --q5.1 .. rubric:: Selecting rows using rows_where parameter :Example 6: Selecting rows based on the id. .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q6 :end-before: --q6.1 :Example 7: Selecting the rows where the geometry is near the geometry of row with ``id`` =5 . .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q7 :end-before: --q7.1 :Example 8: Selecting the rows where the geometry is near the geometry of the row with ``gid`` =100 of the table ``othertable``. .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q8 :end-before: --q8.1 Usage when the edge table's columns DO NOT MATCH the default values: ............................................................................... Using the following table .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --tab1 :end-before: --tab2 .. rubric:: Using positional notation: :Example 9: The arguments need to be given in the order described in the parameters: .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q9 :end-before: --q9.1 .. warning:: | An error would occur when the arguments are not given in the appropriate order: In this example, the column ``src`` of the table ``mytable`` is passed to the function as the geometry column, and the geometry column ``mygeom`` is passed to the function as the source column. .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q9.1 :end-before: --q9.2 .. rubric:: When using the named notation :Example 10: The order of the parameters do not matter: .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q10 :end-before: --q10.1 :Example 11: Using a different ordering In this scenario omitting a parameter would create an error because the default values for the column names do not match the column names of the table. .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q11 :end-before: --q11.1 .. rubric:: Selecting rows using rows_where parameter :Example 12: Selecting rows based on the gid. (positional notation) .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q12 :end-before: --q12.1 :Example 13: Selecting rows based on the gid. (named notation) .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q13 :end-before: --q13.1 :Example 14: Selecting the rows where the geometry is near the geometry of row with ``gid`` = 5. .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q14 :end-before: --q14.1 :Example 15: TBD .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q15 :end-before: --q15.1 :Example 16: Selecting the rows where the geometry is near the geometry of the row with ``gid`` =100 of the table ``othertable``. .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q16 :end-before: --q16.1 .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q16.1 :end-before: --q16.2 :Example 17: TBD .. literalinclude:: doc-pgr_createVerticesTable.queries :start-after: --q17 :end-before: --q17.1 The example uses the :doc:`sampledata` network. See Also ------------------------------------------------------------------------------- * :doc:`topology-functions` for an overview of a topology for routing algorithms. * :doc:`pgr_createTopology` ` to create a topology based on the geometry. * :doc:`pgr_analyzeGraph` to analyze the edges and vertices of the edge table. * :doc:`pgr_analyzeOneWay` to analyze directionality of the edges. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/topology/pgr_extractVertices.rst000066400000000000000000000200451414350551100227350ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_extractVertices -- Proposed =============================================================================== ``pgr_extractVertices`` — Extracts the vertices information based on the source and target. .. include:: proposed.rst :start-after: stable-begin-warning :end-before: stable-end-warning .. rubric:: Availability * Version 3.3.0 * Clasiffied as **proposed** function * Version 3.0.0 * New **experimental** function Description ------------------------------------------------------------------------------- This is an auxiliary function for extracting the vertex information of the set of edges of a graph. * When the edge identifier is given, then it will also calculate the in and out edges Signatures ------------------------------------------------------------------------------- .. index:: single: pgr_extractVertices - Proposed on v3.3 .. code-block:: sql pgr_extractVertices(Edges SQL [, dryrun]) RETURNS SETOF (id, in_edges, out_edges, x, y, geom) :Example: Extracting the vertex information .. literalinclude:: doc-pgr_extractVertices.queries :start-after: --q1 :end-before: --q1.1 Parameters ------------------------------------------------------------------------------- ============== ================== ================================================= Parameter Type Description ============== ================== ================================================= **Edges SQL** ``TEXT`` The set of edges of the graph. It is an `Inner Query`_ as described below. **dryrun** ``TEXT`` Don't process and get in a NOTICE the resulting query. ============== ================== ================================================= Inner Query ------------------------------------------------------------------------------- .. rubric:: When line geometry is known ================= =================== ================================================= Column Type Description ================= =================== ================================================= **id** ``BIGINT`` (Optional) identifier of the edge. **geom** ``LINESTRING`` LINESTRING geometry of the edge. ================= =================== ================================================= This inner query takes precedence over the next two inner query, therefore other columns are ignored when ``geom`` column appears. * Ignored columns: * ``startpoint`` * ``endpoint`` * ``source`` * ``target`` .. rubric:: When vertex geometry is known To use this inner query the column ``geom`` should not be part of the set of columns. ================= =================== ================================================= Column Type Description ================= =================== ================================================= **id** ``BIGINT`` (Optional) identifier of the edge. **startpoint** ``POINT`` POINT geometry of the starting vertex. **endpoint** ``POINT`` POINT geometry of the ending vertex. ================= =================== ================================================= This inner query takes precedence over the next inner query, therefore other columns are ignored when ``startpoint`` and ``endpoint`` columns appears. * Ignored columns: * ``source`` * ``target`` .. rubric:: When identifiers of vertices are known To use this inner query the columns ``geom``, ``startpoint`` and ``endpoint`` should not be part of the set of columns. ================= =================== ================================================= Column Type Description ================= =================== ================================================= **id** ``BIGINT`` (Optional) identifier of the edge. **source** ``ANY-INTEGER`` Identifier of the first end point vertex of the edge. **target** ``ANY-INTEGER`` Identifier of the second end point vertex of the edge. ================= =================== ================================================= Result Columns ------------------------------------------------------------------------------- Rreturns set of (id, in_edges, out_edges, x, y, geom) ================= =============== ================================================= Column Type Description ================= =============== ================================================= **id** ``BIGINT`` Identifier of the first end point vertex of the edge. **in_edges** ``BIGINT[]`` Array of identifiers of the edges that have the vertex ``id`` as *first end point*. * ``NULL`` When the ``id`` is not part of the inner query **out_edges** ``BIGINT[]`` Array of identifiers of the edges that have the vertex ``id`` as *second end point*. * ``NULL`` When the ``id`` is not part of the inner query **x** ``FLOAT`` X value of the POINT geometry * ``NULL`` When no geometry is provided **y** ``FLOAT`` Y value of the POINT geometry * ``NULL`` When no geometry is provided **geom** ``POINT`` Geometry of the POINT * ``NULL`` When no geometry is provided ================= =============== ================================================= Additional Examples ------------------------------------------------------------------------------- :Example 1: Dryrun execution To get the query generated used to get the vertex information, use ``dryrun := true``. The results can be used as base code to make a refinement based on the backend development needs. .. literalinclude:: doc-pgr_extractVertices.queries :start-after: --q2 :end-before: --q2.1 :Example 2: Creating a routing topology #. Making sure the database does not have the ``vertices_table`` .. literalinclude:: doc-pgr_extractVertices.queries :start-after: --q3 :end-before: --q3.1 #. Cleaning up the columns of the rotuing topology to be created .. literalinclude:: doc-pgr_extractVertices.queries :start-after: --q3.1 :end-before: --q3.2 #. Creating the vertices table .. literalinclude:: doc-pgr_extractVertices.queries :start-after: --q3.2 :end-before: --q3.3 #. Inspection of the vertices table .. literalinclude:: doc-pgr_extractVertices.queries :start-after: --q3.3 :end-before: --q3.4 #. Creating the routing topology on the edge table Updating the ``source`` information .. literalinclude:: doc-pgr_extractVertices.queries :start-after: --q3.4 :end-before: --q3.5 Updating the ``target`` information .. literalinclude:: doc-pgr_extractVertices.queries :start-after: --q3.5 :end-before: --q3.6 #. Inspection of the routing topology .. literalinclude:: doc-pgr_extractVertices.queries :start-after: --q3.6 :end-before: --q3.7 See Also ------------------------------------------------------------------------------- * :doc:`topology-functions` for an overview of a topology for routing algorithms. * :doc:`pgr_createVerticesTable` to create a topology based on the geometry. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/topology/pgr_nodeNetwork.rst000066400000000000000000000255001414350551100220560ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ pgr_nodeNetwork =============================================================================== ``pgr_nodeNetwork`` - Nodes an network edge table. :Author: Nicolas Ribot :Copyright: Nicolas Ribot, The source code is released under the MIT-X license. The function reads edges from a not "noded" network table and writes the "noded" edges into a new table. .. index:: single: pgr_nodeNetwork .. code-block:: sql pgr_nodenetwork(edge_table, tolerance, id, text the_geom, table_ending, rows_where, outall) RETURNS TEXT .. rubric:: Availability * Version 2.0.0 * **Official** function Description ------------------------------------------------------------------------------- **The main characteristics are:** A common problem associated with bringing GIS data into pgRouting is the fact that the data is often not "noded" correctly. This will create invalid topologies, which will result in routes that are incorrect. What we mean by "noded" is that at every intersection in the road network all the edges will be broken into separate road segments. There are cases like an over-pass and under-pass intersection where you can not traverse from the over-pass to the under-pass, but this function does not have the ability to detect and accommodate those situations. This function reads the ``edge_table`` table, that has a primary key column ``id`` and geometry column named ``the_geom`` and intersect all the segments in it against all the other segments and then creates a table ``edge_table_noded``. It uses the ``tolerance`` for deciding that multiple nodes within the tolerance are considered the same node. Parameters ------------------------------------------------------------------------------- :edge_table: ``text`` Network table name. (may contain the schema name as well) :tolerance: ``float8`` tolerance for coincident points (in projection unit)dd :id: ``text`` Primary key column name of the network table. Default value is ``id``. :the_geom: ``text`` Geometry column name of the network table. Default value is ``the_geom``. :table_ending: ``text`` Suffix for the new table's. Default value is ``noded``. The output table will have for ``edge_table_noded`` :id: ``bigint`` Unique identifier for the table :old_id: ``bigint`` Identifier of the edge in original table :sub_id: ``integer`` Segment number of the original edge :source: ``integer`` Empty source column to be used with :doc:`pgr_createTopology` function :target: ``integer`` Empty target column to be used with :doc:`pgr_createTopology` function :the geom: ``geometry`` Geometry column of the noded network Examples ------------------------------------------------------------------------------- Let's create the topology for the data in :doc:`sampledata` .. literalinclude:: doc-pgr_nodeNetwork.queries :start-after: --q1 :end-before: --q1.1 Now we can analyze the network. .. literalinclude:: doc-pgr_nodeNetwork.queries :start-after: --q2 :end-before: --q2.1 The analysis tell us that the network has a gap and an intersection. We try to fix the problem using: .. literalinclude:: doc-pgr_nodeNetwork.queries :start-after: --q3 :end-before: --q3.1 Inspecting the generated table, we can see that edges 13,14 and 18 has been segmented .. literalinclude:: doc-pgr_nodeNetwork.queries :start-after: --q4 :end-before: --q4.1 We can create the topology of the new network .. literalinclude:: doc-pgr_nodeNetwork.queries :start-after: --q5 :end-before: --q5.1 Now let's analyze the new topology .. literalinclude:: doc-pgr_nodeNetwork.queries :start-after: --q6 :end-before: --q6.1 Images ------------------------------------------------------------------------------- .. only:: html +--------------------------------------+-------------------------------------+ |.. Rubric:: Before Image |.. Rubric:: After Image | | | | |.. image:: images/before_node_net.png |.. image:: images/after_node_net.png | | :scale: 60% | :scale: 60% | | :alt: before image | :alt: after image | | :align: left | :align: right | +--------------------------------------+-------------------------------------+ .. only:: latex .. Rubric:: Before Image .. image:: images/before_node_net.png :scale: 60% :alt: before image :align: left .. Rubric:: After Image .. image:: images/after_node_net.png :scale: 60% :alt: after image :align: left Comparing the results ------------------------------------------------------------------------------- Comparing with the Analysis in the original edge_table, we see that. +------------------+-----------------------------------------+--------------------------------------------------------------+ | | Before | After | +==================+=========================================+==============================================================+ |Table name | edge_table | edge_table_noded | +------------------+-----------------------------------------+--------------------------------------------------------------+ |Fields | All original fields | Has only basic fields to do a topology analysis | +------------------+-----------------------------------------+--------------------------------------------------------------+ |Dead ends | - Edges with 1 dead end: 1,6,24 | Edges with 1 dead end: 1-1 ,6-1,14-2, 18-1 17-1 18-2 | | | - Edges with 2 dead ends 17,18 | | | | | | | | Edge 17's right node is a dead end | | | | because there is no other edge sharing | | | | that same node. (cnt=1) | | +------------------+-----------------------------------------+--------------------------------------------------------------+ |Isolated segments | two isolated segments: 17 and 18 both | No Isolated segments | | | they have 2 dead ends | - Edge 17 now shares a node with edges 14-1 and 14-2 | | | | - Edges 18-1 and 18-2 share a node with edges 13-1 and 13-2 | +------------------+-----------------------------------------+--------------------------------------------------------------+ |Gaps | There is a gap between edge 17 and 14 | Edge 14 was segmented | | | because edge 14 is near to the right | Now edges: 14-1 14-2 17 share the same node | | | node of edge 17 | The tolerance value was taken in account | +------------------+-----------------------------------------+--------------------------------------------------------------+ |Intersections | Edges 13 and 18 were intersecting | Edges were segmented, So, now in the interection's | | | | point there is a node and the following edges share it: | | | | 13-1 13-2 18-1 18-2 | +------------------+-----------------------------------------+--------------------------------------------------------------+ Now, we are going to include the segments 13-1, 13-2 14-1, 14-2 ,18-1 and 18-2 into our edge-table, copying the data for dir,cost,and reverse cost with tho following steps: - Add a column old_id into edge_table, this column is going to keep track the id of the original edge - Insert only the segmented edges, that is, the ones whose max(sub_id) >1 .. literalinclude:: doc-pgr_nodeNetwork.queries :start-after: --q7 :end-before: --q7.1 We recreate the topology: .. literalinclude:: doc-pgr_nodeNetwork.queries :start-after: --q8 :end-before: --q8.1 To get the same analysis results as the topology of edge_table_noded, we do the following query: .. literalinclude:: doc-pgr_nodeNetwork.queries :start-after: --q9 :end-before: --q9.1 To get the same analysis results as the original edge_table, we do the following query: .. literalinclude:: doc-pgr_nodeNetwork.queries :start-after: --q10 :end-before: --q10.1 Or we can analyze everything because, maybe edge 18 is an overpass, edge 14 is an under pass and there is also a street level juction, and the same happens with edges 17 and 13. .. literalinclude:: doc-pgr_nodeNetwork.queries :start-after: --q11 :end-before: --q11.1 See Also ------------------------------------------------------------------------------- :doc:`topology-functions` for an overview of a topology for routing algorithms. :doc:`pgr_analyzeOneWay` to analyze directionality of the edges. :doc:`pgr_createTopology` to create a topology based on the geometry. :doc:`pgr_analyzeGraph` to analyze the edges and vertices of the edge table. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/topology/topology-functions.rst000066400000000000000000000053571414350551100226010ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ Topology - Family of Functions =============================================================================== The pgRouting's topology of a network, represented with an edge table with source and target attributes and a vertices table associated with it. Depending on the algorithm, you can create a topology or just reconstruct the vertices table, You can analyze the topology, We also provide a function to node an unoded network. .. topology_index_start - :doc:`pgr_createTopology` - to create a topology based on the geometry. - :doc:`pgr_createVerticesTable` - to reconstruct the vertices table based on the source and target information. - :doc:`pgr_analyzeGraph` - to analyze the edges and vertices of the edge table. - :doc:`pgr_analyzeOneWay` - to analyze directionality of the edges. - :doc:`pgr_nodeNetwork` -to create nodes to a not noded edge table. .. topology_index_end .. rubric:: Proposed .. include:: proposed.rst :start-after: stable-begin-warning :end-before: stable-end-warning .. topology_proposed_start - :doc:`pgr_extractVertices` - Extracts vertices information based on the source and target. .. topology_proposed_end .. toctree:: :hidden: pgr_createTopology pgr_createVerticesTable pgr_analyzeGraph pgr_analyzeOneWay pgr_nodeNetwork pgr_extractVertices See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/transitiveClosure/000077500000000000000000000000001414350551100200245ustar00rootroot00000000000000pgrouting-3.3.0/doc/transitiveClosure/CMakeLists.txt000066400000000000000000000004631414350551100225670ustar00rootroot00000000000000 SET(LOCAL_FILES pgr_transitiveClosure.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/transitiveClosure/pgr_transitiveClosure.rst000066400000000000000000000106041414350551100251540ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_transitiveClosure - Experimental =============================================================================== ``pgr_transitiveClosure`` — Returns the transitive closure graph of the input graph. In particular, the transitive closure algorithm implemented by Boost.Graph. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/transitive_closure.html Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.0.0 * New **experimental** function Description ------------------------------------------------------------------------------- The transitive_closure() function transforms the input graph g into the transitive closure graph tc. This implementation can only be used with a **directed** graph with no cycles i.e. directed acyclic graph. The main characteristics are: - Process is valid for directed acyclic graphs only. otherwise it will throw warnings. - The returned values are not ordered: * Running time: :math:`O(|V||E|)` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary The pgr_transitiveClosure function has the following signature: .. index:: single: transitiveClosure - Experimental on v3.0 .. code-block:: none pgr_transitiveClosure(Edges SQL) RETURNS SETOF (id, vid, target_array) :Example: Complete Graph of 3 vertexs .. literalinclude:: doc-transitiveClosure.queries :start-after: -- q1 :end-before: -- q2 Parameters ------------------------------------------------------------------------------- ======================= ====================== ================================================= Column Type Description ======================= ====================== ================================================= **Edges SQL** ``TEXT`` SQL query as described in `Inner query`_ ======================= ====================== ================================================= Inner query ------------------------------------------------------------------------------- .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Result Columns ------------------------------------------------------------------------------- RETURNS SETOF (seq, vid, target_array) The function returns a single row. The columns of the row are: ============================ ================= =================================================================== Column Type Description ============================ ================= =================================================================== **seq** ``INTEGER`` Sequential value starting from **1**. **vid** ``BIGINT`` Identifier of the vertex. **target_array** ``ARRAY[BIGINT]`` Array of identifiers of the vertices that are reachable from vertex v. ============================ ================= =================================================================== Additional Examples ------------------------------------------------------------------------------- :Example: Some sub graphs of the sample data .. literalinclude:: doc-transitiveClosure.queries :start-after: -- q2 :end-before: -- q4 See Also ------------------------------------------------------------------------------- * https://en.wikipedia.org/wiki/Transitive_closure * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/traversal/000077500000000000000000000000001414350551100163025ustar00rootroot00000000000000pgrouting-3.3.0/doc/traversal/CMakeLists.txt000066400000000000000000000006361414350551100210470ustar00rootroot00000000000000 SET(LOCAL_FILES traversal-family.rst pgr_depthFirstSearch.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() add_subdirectory("images") set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) set(PROJECT_IMG_FILES ${PROJECT_IMG_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/traversal/images/000077500000000000000000000000001414350551100175475ustar00rootroot00000000000000pgrouting-3.3.0/doc/traversal/images/CMakeLists.txt000066400000000000000000000005451414350551100223130ustar00rootroot00000000000000SET(LOCAL_FILES 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The graph can be directed or undirected. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/depth_first_search.html Boost Graph Inside .. include:: proposed.rst :start-after: stable-begin-warning :end-before: stable-end-warning .. rubric:: Availability * Version 3.3.0 * Promoted to **proposed** function * Version 3.2.0 * New **experimental** function Description ------------------------------------------------------------------------------- Depth First Search algorithm is a traversal algorithm which starts from a root vertex, goes as deep as possible, and backtracks once a vertex is reached with no adjacent vertices or with all visited adjacent vertices. The traversal continues until all the vertices reachable from the root vertex are visited. **The main Characteristics are:** - The implementation works for both **directed** and **undirected** graphs. - Provides the Depth First Search traversal order from a root vertex or from a set of root vertices. - An optional non-negative maximum depth parameter to limit the results up to a particular depth. - For optimization purposes, any duplicated values in the `Root vids` are ignored. - It does not produce the shortest path from a root vertex to a target vertex. - The aggregate cost of traversal is not guaranteed to be minimal. - The returned values are ordered in ascending order of `start_vid`. - Depth First Search Running time: :math:`O(E + V)` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_depthFirstSearch(Edges SQL, Root vid [, directed] [, max_depth]) pgr_depthFirstSearch(Edges SQL, Root vids [, directed] [, max_depth]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) .. rubric:: Using defaults :Example: From root vertex :math:`2` on a **directed** graph .. literalinclude:: doc-pgr_depthFirstSearch.queries :start-after: -- q1 :end-before: -- q2 .. index:: single: depthFirstSearch(Single vertex) - Proposed on v3.3 Single vertex ............................................................................... .. code-block:: none pgr_depthFirstSearch(Edges SQL, Root vid [, directed] [, max_depth]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) :Example: From root vertex :math:`2` on an **undirected** graph, with :math:`depth <= 2` .. literalinclude:: doc-pgr_depthFirstSearch.queries :start-after: -- q2 :end-before: -- q3 .. index:: single: depthFirstSearch(Multiple vertices) - Proposed on v3.3 Multiple vertices ............................................................................... .. code-block:: none pgr_depthFirstSearch(Edges SQL, Root vids [, directed] [, max_depth]) RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost) :Example: From root vertices :math:`\{11, 2\}` on an **undirected** graph with :math:`depth <= 2` .. literalinclude:: doc-pgr_depthFirstSearch.queries :start-after: -- q3 :end-before: -- q4 .. Parameters, Inner query & result columns Parameters ------------------------------------------------------------------------------- =================== ====================== ================================================= Parameter Type Description =================== ====================== ================================================= **Edges SQL** ``TEXT`` SQL query described in `Inner query`_. **Root vid** ``BIGINT`` Identifier of the root vertex of the tree. - Used on `Single Vertex`_. **Root vids** ``ARRAY[ANY-INTEGER]`` Array of identifiers of the root vertices. - Used on `Multiple Vertices`_. - For optimization purposes, any duplicated value is ignored. =================== ====================== ================================================= Optional Parameters ............................................................................... =================== =========== =========================== ================================================= Parameter Type Default Description =================== =========== =========================== ================================================= **directed** ``BOOLEAN`` ``true`` - When ``true`` Graph is `Directed` - When ``false`` the graph is `Undirected`. **max_depth** ``BIGINT`` :math:`9223372036854775807` Upper limit for the depth of traversal - When value is ``Negative`` then **throws error** =================== =========== =========================== ================================================= Inner query ------------------------------------------------------------------------------- .. rubric:: Edges SQL .. include:: traversal-family.rst :start-after: edges_sql_start :end-before: edges_sql_end Result Columns ------------------------------------------------------------------------------- .. include:: pgr_kruskalDD.rst :start-after: result columns start :end-before: result columns end Additional Examples ------------------------------------------------------------------------------- The examples of this section are based on the :doc:`sampledata` network. **Example: No internal ordering on traversal** In the following query, the inner query of the example: "Using defaults" is modified so that the data is entered into the algorithm is given in the reverse ordering of the id. .. literalinclude:: doc-pgr_depthFirstSearch.queries :start-after: -- q4 :end-before: -- q5 The resulting traversal is different. The left image shows the result with ascending order of ids and the right image shows with descending order of ids: |ascending| |descending| .. |ascending| image:: images/Fig1-AscendingOrder.png :scale: 50% .. |descending| image:: images/Fig2-DescendingOrder.png :scale: 50% See Also ------------------------------------------------------------------------------- * The queries use the :doc:`sampledata` network. .. see also start * `Boost: Depth First Search algorithm documentation `__ * `Boost: Undirected DFS algorithm documentation `__ * `Wikipedia: Depth First Search algorithm `__ .. see also end .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/traversal/traversal-family.rst000066400000000000000000000051071414350551100223210ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ Traversal - Family of functions =============================================================================== .. rubric:: Proposed .. include:: proposed.rst :start-after: stable-begin-warning :end-before: stable-end-warning .. index from here * :doc:`pgr_depthFirstSearch` - Depth first search traversal of the graph. .. index to here .. toctree:: :hidden: pgr_depthFirstSearch Inner query ------------------------------------------------------------------------------- .. rubric:: Edges SQL .. edges_sql_start ================= =================== ======== ================================================= Column Type Default Description ================= =================== ======== ================================================= **id** ``ANY-INTEGER`` Identifier of the edge. **source** ``ANY-INTEGER`` Identifier of the first end point vertex of the edge. **target** ``ANY-INTEGER`` Identifier of the second end point vertex of the edge. **cost** ``ANY-NUMERICAL`` - When positive: edge `(source, target)` exist on the graph. - When negative: edge `(source, target)` does not exist on the graph. **reverse_cost** ``ANY-NUMERICAL`` -1 - When positive: edge `(target, source)` exist on the graph. - When negative: edge `(target, source)` does not exist on the graph. ================= =================== ======== ================================================= Where: :ANY-INTEGER: SMALLINT, INTEGER, BIGINT :ANY-NUMERICAL: SMALLINT, INTEGER, BIGINT, REAL, FLOAT .. edges_sql_end See Also ------------------------------------------------------------------------------- .. include:: pgr_depthFirstSearch.rst :start-after: see also start :end-before: see also end .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/trsp/000077500000000000000000000000001414350551100152675ustar00rootroot00000000000000pgrouting-3.3.0/doc/trsp/CMakeLists.txt000066400000000000000000000005051414350551100200270ustar00rootroot00000000000000 SET(LOCAL_FILES pgr_trsp.rst pgr_turnRestrictedPath.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/trsp/pgr_trsp.rst000066400000000000000000000462331414350551100176710ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ pgr_trsp - Turn Restriction Shortest Path (TRSP) =============================================================================== .. index:: single: trsp(text,integer,integer,boolean,boolean) single: trsp(text,integer,integer,boolean,boolean,text) single: trspViaVertices - Prototype single: trspViaEdges - Prototype ``pgr_trsp`` — Returns the shortest path with support for turn restrictions. .. rubric:: Availability * Version 2.1.0 * New *Via* **prototypes** * pgr_trspViaVertices * pgr_trspViaEdges * Version 2.0.0 * **Official** function Description ------------------------------------------------------------------------------- The turn restricted shorthest path (TRSP) is a shortest path algorithm that can optionally take into account complicated turn restrictions like those found in real world navigable road networks. Performamnce wise it is nearly as fast as the A* search but has many additional features like it works with edges rather than the nodes of the network. Returns a set of (seq, id1, id2, cost) or (seq, id1, id2, id3, cost) rows, that make up a path. .. code-block:: sql pgr_trsp(sql text, source integer, target integer, directed boolean, has_rcost boolean [,restrict_sql text]); RETURNS SETOF (seq, id1, id2, cost) .. code-block:: sql pgr_trsp(sql text, source_edge integer, source_pos float8, target_edge integer, target_pos float8, directed boolean, has_rcost boolean [,restrict_sql text]); RETURNS SETOF (seq, id1, id2, cost) .. code-block:: sql pgr_trspViaVertices(sql text, vids integer[], directed boolean, has_rcost boolean [, turn_restrict_sql text]); RETURNS SETOF (seq, id1, id2, id3, cost) .. code-block:: sql pgr_trspViaEdges(sql text, eids integer[], pcts float8[], directed boolean, has_rcost boolean [, turn_restrict_sql text]); RETURNS SETOF (seq, id1, id2, id3, cost) **The main characteristics are:** The Turn Restricted Shortest Path algorithm (TRSP) is similar to the shooting star in that you can specify turn restrictions. The TRSP setup is mostly the same as :doc:`Dijkstra shortest path ` with the addition of an optional turn restriction table. This provides an easy way of adding turn restrictions to a road network by placing them in a separate table. :sql: a SQL query, which should return a set of rows with the following columns: .. code-block:: sql SELECT id, source, target, cost, [,reverse_cost] FROM edge_table :id: ``int4`` identifier of the edge :source: ``int4`` identifier of the source vertex :target: ``int4`` identifier of the target vertex :cost: ``float8`` value, of the edge traversal cost. A negative cost will prevent the edge from being inserted in the graph. :reverse_cost: (optional) the cost for the reverse traversal of the edge. This is only used when the ``directed`` and ``has_rcost`` parameters are ``true`` (see the above remark about negative costs). :source: ``int4`` **NODE id** of the start point :target: ``int4`` **NODE id** of the end point :directed: ``true`` if the graph is directed :has_rcost: if ``true``, the ``reverse_cost`` column of the SQL generated set of rows will be used for the cost of the traversal of the edge in the opposite direction. :restrict_sql: (optional) a SQL query, which should return a set of rows with the following columns: .. code-block:: sql SELECT to_cost, target_id, via_path FROM restrictions :to_cost: ``float8`` turn restriction cost :target_id: ``int4`` target id :via_path: ``text`` comma separated list of edges in the reverse order of ``rule`` Another variant of TRSP allows to specify **EDGE id** of source and target together with a fraction to interpolate the position: :source_edge: ``int4`` **EDGE id** of the start edge :source_pos: ``float8`` fraction of 1 defines the position on the start edge :target_edge: ``int4`` **EDGE id** of the end edge :target_pos: ``float8`` fraction of 1 defines the position on the end edge Returns set of: :seq: row sequence :id1: node ID :id2: edge ID (``-1`` for the last row) :cost: cost to traverse from ``id1`` using ``id2`` Support for Vias ------------------------------------------------------------------------------- .. warning:: The Support for Vias functions are prototypes. Not all corner cases are being considered. We also have support for vias where you can say generate a from A to B to C, etc. We support both methods above only you pass an array of vertices or and array of edges and percentage position along the edge in two arrays. :sql: a SQL query, which should return a set of rows with the following columns: .. code-block:: sql SELECT id, source, target, cost, [,reverse_cost] FROM edge_table :id: ``int4`` identifier of the edge :source: ``int4`` identifier of the source vertex :target: ``int4`` identifier of the target vertex :cost: ``float8`` value, of the edge traversal cost. A negative cost will prevent the edge from being inserted in the graph. :reverse_cost: (optional) the cost for the reverse traversal of the edge. This is only used when the ``directed`` and ``has_rcost`` parameters are ``true`` (see the above remark about negative costs). :vids: ``int4[]`` An ordered array of **NODE id** the path will go through from start to end. :directed: ``true`` if the graph is directed :has_rcost: if ``true``, the ``reverse_cost`` column of the SQL generated set of rows will be used for the cost of the traversal of the edge in the opposite direction. :restrict_sql: (optional) a SQL query, which should return a set of rows with the following columns: .. code-block:: sql SELECT to_cost, target_id, via_path FROM restrictions :to_cost: ``float8`` turn restriction cost :target_id: ``int4`` target id :via_path: ``text`` commar separated list of edges in the reverse order of ``rule`` Another variant of TRSP allows to specify **EDGE id** together with a fraction to interpolate the position: :eids: ``int4`` An ordered array of **EDGE id** that the path has to traverse :pcts: ``float8`` An array of fractional positions along the respective edges in ``eids``, where 0.0 is the start of the edge and 1.0 is the end of the eadge. Returns set of: :seq: row sequence :id1: route ID :id2: node ID :id3: edge ID (``-1`` for the last row) :cost: cost to traverse from ``id2`` using ``id3`` Additional Examples ------------------------------------------------------------------------------- :Example: Without turn restrictions .. literalinclude:: doc-trsp.queries :start-after: --q1 :end-before: --q2 :Example: With turn restrictions Then a query with turn restrictions is created as: .. literalinclude:: doc-trsp.queries :start-after: --q3 :end-before: --q4 An example query using vertex ids and via points: .. literalinclude:: doc-trsp.queries :start-after: --q4 :end-before: --q5 An example query using edge ids and vias: .. literalinclude:: doc-trsp.queries :start-after: --q5 :end-before: --q6 The queries use the :doc:`sampledata` network. Known Issues ------------------------------------------------------------------------------- Introduction ......................................................................... pgr_trsp code has issues that are not being fixed yet, but as time passes and new functionality is added to pgRouting with wrappers to **hide** the issues, not to fix them. For clarity on the queries: * _pgr_trsp (internal_function) is the original code * pgr_trsp (lower case) represents the wrapper calling the original code * pgr_TRSP (upper case) represents the wrapper calling the replacement function, depending on the function, it can be: * pgr_dijkstra * pgr_dijkstraVia * pgr_withPoints * _pgr_withPointsVia (internal function) The restrictions ......................................................................... The restriction used in the examples does not have to do anything with the graph: * No vertex has id: 25, 32 or 33 * No edge has id: 25, 32 or 33 A restriction is assigned as: .. literalinclude:: trsp_notes.queries :start-after: --place1 :end-before: --place2 The back end code has that same restriction as follows .. literalinclude:: trsp_notes.queries :start-after: --place2 :end-before: --place3 therefore the shortest path expected are as if there was no restriction involved The "Vertices" signature version ......................................................................... .. code-block:: sql pgr_trsp(sql text, source integer, target integer, directed boolean, has_rcost boolean [,restrict_sql text]); Different ways to represent 'no path found` +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ * Sometimes represents with EMPTY SET a no path found * Sometimes represents with Error a no path found .. rubric:: Returning EMPTY SET to represent no path found .. literalinclude:: trsp_notes.queries :start-after: --place3 :end-before: --place4 pgr_trsp calls :doc:`pgr_dijkstra` when there are no restrictions which returns `EMPTY SET` when a path is not found .. literalinclude:: trsp_notes.queries :start-after: --place4 :end-before: --place5 .. rubric:: Throwing EXCEPTION to represent no path found .. literalinclude:: trsp_notes.queries :start-after: --place5 :end-before: --place6 pgr_trsp use the original code when there are restrictions, even if they have nothing to do with the graph, which will throw an EXCEPTION to represent no path found. Routing from/to same location +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ When routing from location :math:`1` to the same location :math:`1`, no path is needed to reach the destination, its already there. Therefore is expected to return an `EMPTY SET` or an `EXCEPTION` depending on the parameters * Sometimes represents with EMPTY SET no path found (expected) * Sometimes represents with EXCEPTION no path found (expected) * Sometimes finds a path (not expected) .. rubric:: Returning expected EMPTY SET to represent no path found .. literalinclude:: trsp_notes.queries :start-after: --place6 :end-before: --place7 ``pgr_trsp`` calls :doc:`pgr_dijkstra` when there are no restrictions which returns the expected to return `EMPTY SET` to represent no path found. .. rubric:: Returning expected EXCEPTION to represent no path found .. literalinclude:: trsp_notes.queries :start-after: --place7 :end-before: --place8 In this case ``pgr_trsp`` calls the original code when there are restrictions, even if they have nothing to do with the graph, in this case that code throws the expected EXCEPTION .. rubric:: Returning unexpected path .. literalinclude:: trsp_notes.queries :start-after: --place8 :end-before: --place9 In this case ``pgr_trsp`` calls the original code when there are restrictions, even if they have nothing to do with the graph, in this case that code finds an unexpected path. User contradictions +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ``pgr_trsp`` unlike other pgRouting functions does not autodectect the existence of ``reverse_cost`` column. Therefor it has ``has_rcost`` parameter to check the existence of ``reverse_cost`` column. Contradictions happen: - When the reverse_cost is missing, and the flag `has_rcost` is set to true - When the reverse_cost exists, and the flag `has_rcost` is set to false .. rubric:: When the reverse_cost is missing, and the flag `has_rcost` is set to true. .. literalinclude:: trsp_notes.queries :start-after: --place9 :end-before: --place10 An EXCEPTION is thrown. .. rubric:: When the reverse_cost exists, and the flag `has_rcost` is set to false .. literalinclude:: trsp_notes.queries :start-after: --place10 :end-before: --place11 The ``reverse_cost`` column will be effectively removed and will cost execution time The "Edges" signature version ......................................................................... .. code-block:: sql pgr_trsp(sql text, source_edge integer, source_pos float8, target_edge integer, target_pos float8, directed boolean, has_rcost boolean [,restrict_sql text]); Different ways to represent 'no path found` +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ * Sometimes represents with EMPTY SET a no path found * Sometimes represents with EXCEPTION a no path found .. rubric:: Returning EMPTY SET to represent no path found .. literalinclude:: trsp_notes.queries :start-after: --place11 :end-before: --place12 pgr_trsp calls :doc:`pgr_withPoints` when there are no restrictions which returns `EMPTY SET` when a path is not found .. rubric:: Throwing EXCEPTION to represent no path found .. literalinclude:: trsp_notes.queries :start-after: --place12 :end-before: --place13 pgr_trsp use the original code when there are restrictions, even if they have nothing to do with the graph, which will throw an EXCEPTION to represent no path found. Paths with equal number of vertices and edges +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ A path is made of `N` vertices and `N - 1` edges. * Sometimes returns `N` vertices and `N - 1` edges. * Sometimes returns `N - 1` vertices and `N - 1` edges. .. rubric:: Returning `N` vertices and `N - 1` edges. .. literalinclude:: trsp_notes.queries :start-after: --place13 :end-before: --place14 pgr_trsp calls :doc:`pgr_withPoints` when there are no restrictions which returns the correct number of rows that will include all the vertices. The last row will have a ``-1`` on the edge column to indicate the edge number is invalidu for that row. .. rubric:: Returning `N - 1` vertices and `N - 1` edges. .. literalinclude:: trsp_notes.queries :start-after: --place14 :end-before: --place15 pgr_trsp use the original code when there are restrictions, even if they have nothing to do with the graph, and will not return the last vertex of the path. Routing from/to same location +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ When routing from the same edge and position to the same edge and position, no path is needed to reach the destination, its already there. Therefore is expected to return an `EMPTY SET` or an `EXCEPTION` depending on the parameters, non of which is happening. .. rubric:: A path with 2 vertices and edge cost 0 .. literalinclude:: trsp_notes.queries :start-after: --place15 :end-before: --place16 pgr_trsp calls :doc:`pgr_withPoints` setting the first :math:`(edge, position)` with a differenct point id from the second :math:`(edge, position)` making them different points. But the cost using the edge, is :math:`0`. .. rubric:: A path with 1 vertices and edge cost 0 .. literalinclude:: trsp_notes.queries :start-after: --place16 :end-before: --place17 pgr_trsp use the original code when there are restrictions, even if they have nothing to do with the graph, and will not have the row for the vertex :math:`-2`. User contradictions +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ``pgr_trsp`` unlike other pgRouting functions does not autodectect the existence of ``reverse_cost`` column. Therefor it has ``has_rcost`` parameter to check the existence of ``reverse_cost`` column. Contradictions happen: - When the reverse_cost is missing, and the flag `has_rcost` is set to true - When the reverse_cost exists, and the flag `has_rcost` is set to false .. rubric:: When the reverse_cost is missing, and the flag `has_rcost` is set to true. .. literalinclude:: trsp_notes.queries :start-after: --place17 :end-before: --place18 An EXCEPTION is thrown. .. rubric:: When the reverse_cost exists, and the flag `has_rcost` is set to false .. literalinclude:: trsp_notes.queries :start-after: --place18 :end-before: --place19 The ``reverse_cost`` column will be effectively removed and will cost execution time Using a points of interest table +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Given a set of points of interest: .. literalinclude:: trsp_notes.queries :start-after: --place19 :end-before: --place20 .. rubric:: Using pgr_trsp .. literalinclude:: trsp_notes.queries :start-after: --place20 :end-before: --place21 On *pgr_trsp*, to be able to use the table information: * Each parameter has to be extracted explicitly from the table * Regardles of the point pid original value * will always be -1 for the first point * will always be -2 for the second point * the row reaching point -2 will not be shown .. rubric:: Using :doc:`pgr_withPoints` .. literalinclude:: trsp_notes.queries :start-after: --place21 :end-before: --place22 Suggestion: use :doc:`pgr_withPoints` when there are no turn restrictions: * Results are more complete * Column names are meaningful Routing from a vertex to a point +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Solving a shortest path from vertex :math:`6` to pid 1 using a points of interest table .. rubric:: Using pgr_trsp .. literalinclude:: trsp_notes.queries :start-after: --place22 :end-before: --place23 * Vertex 6 is on edge 8 at 1 fraction .. literalinclude:: trsp_notes.queries :start-after: --place23 :end-before: --place24 * Vertex 6 is also edge 11 at 0 fraction .. rubric:: Using :doc:`pgr_withPoints` .. literalinclude:: trsp_notes.queries :start-after: --place24 :end-before: --place25 Suggestion: use :doc:`pgr_withPoints` when there are no turn restrictions: * No need to choose where the vertex is located. * Results are more complete * Column names are meaningful prototypes ......................................................................... ``pgr_trspViaVertices`` and ``pgr_trspViaEdges`` were added to pgRouting as prototypes These functions use the pgr_trsp functions inheriting all the problems mentioned above. When there are no restrictions and have a routing "via" problem with vertices: * :doc:`pgr_dijkstraVia` See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/trsp/pgr_trspviaedges.rst000066400000000000000000000032261414350551100213740ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** pgr_trspviaedges =============================================================================== ``pgr_randomSpanTree`` — Random spanning tree of a graph using the algorithm implemented by Boost.Graph. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/kruskal_min_spanning_tree.html Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * **TBD** Description ------------------------------------------------------------------------------- * TBD The main characteristics are: - **CRASHES THE SERVER** * TBD Signatures ------------------------------------------------------------------------------- * TBD Parameters ------------------------------------------------------------------------------- * TBD Inner query ------------------------------------------------------------------------------- * TBD Result Columns ------------------------------------------------------------------------------- * TBD Additional Examples ------------------------------------------------------------------------------- :Example: See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/trsp/pgr_trspviavertices.rst000066400000000000000000000032311414350551100221250ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** pgr_trspviavertices =============================================================================== ``pgr_randomSpanTree`` — Random spanning tree of a graph using the algorithm implemented by Boost.Graph. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/kruskal_min_spanning_tree.html Boost Graph Inside .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * **TBD** Description ------------------------------------------------------------------------------- * TBD The main characteristics are: - **CRASHES THE SERVER** * TBD Signatures ------------------------------------------------------------------------------- * TBD Parameters ------------------------------------------------------------------------------- * TBD Inner query ------------------------------------------------------------------------------- * TBD Result Columns ------------------------------------------------------------------------------- * TBD Additional Examples ------------------------------------------------------------------------------- :Example: See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/trsp/pgr_turnRestrictedPath.rst000066400000000000000000000043721414350551100225350ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_turnRestrictedPath - Experimental =============================================================================== ``pgr_turnRestrictedPath`` .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr .. rubric:: Availability * Version 3.0.0 * New **Experimental** function Description ------------------------------------------------------------------------------- * TBD Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. index:: single: turnRestrictedPath - Experimental on v3.0 .. code-block:: none pgr_turnRestrictedPath(Edges SQL, Restrictions SQL, Start vertex, End vertex, K cycles, [, directed] [,heap_paths] [, stop_on_first] [,strict]) RETURNS SETOF (seq, path_id, path_seq, node, edge, cost, agg_cost) Parameters ------------------------------------------------------------------------------- * TBD Parameters ------------------------------------------------------------------------------- * TBD Inner query ------------------------------------------------------------------------------- * TBD Result Columns ------------------------------------------------------------------------------- * TBD Additional Examples ------------------------------------------------------------------------------- :Example: See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/tsp/000077500000000000000000000000001414350551100151055ustar00rootroot00000000000000pgrouting-3.3.0/doc/tsp/CMakeLists.txt000066400000000000000000000005551414350551100176520ustar00rootroot00000000000000 SET(LOCAL_FILES pgr_TSPeuclidean.rst pgr_TSP.rst TSP-family.rst ) add_subdirectory("images") foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/tsp/TSP-family.rst000066400000000000000000000101121414350551100175570ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ Traveling Sales Person - Family of functions =============================================================================== .. index from here * :doc:`pgr_TSP` - When input is given as matrix cell information. * :doc:`pgr_TSPeuclidean` - When input are coordinates. .. index to here .. toctree:: :hidden: pgr_TSP pgr_TSPeuclidean .. contents:: Table of Contents :local: General Information ------------------------------------------------------------------------------- .. tsp problem definition start Problem Definition ............................................................................... The travelling salesperson problem (TSP) asks the following question: *Given a list of cities and the distances between each pair of cities, which is the shortest possible route that visits each city exactly once and returns to the origin city?* .. tsp problem definition end Origin ............................................................................... The traveling sales person problem was studied in the 18th century by mathematicians **Sir William Rowam Hamilton** and **Thomas Penyngton Kirkman**. A discussion about the work of Hamilton & Kirkman can be found in the book **Graph Theory (Biggs et al. 1976)**. * ISBN-13: 978-0198539162 * ISBN-10: 0198539169 It is believed that the general form of the TSP have been first studied by Kalr Menger in Vienna and Harvard. The problem was later promoted by Hassler, Whitney & Merrill at Princeton. A detailed description about the connection between Menger & Whitney, and the development of the TSP can be found in `On the history of combinatorial optimization (till 1960) `__ To calculate the number of different tours through :math:`n` cities: - Given a starting city, - There are :math:`n-1` choices for the second city, - And :math:`n-2` choices for the third city, etc. - Multiplying these together we get :math:`(n-1)! = (n-1) (n-2) . . 1`. - Now since the travel costs do not depend on the direction taken around the tour: - this number by 2 - :math:`(n-1)!/2`. .. tsp characteristics start General Characteristics ............................................................................... - This problem is an NP-hard optimization problem. - Metric Algorithm is used - Implementation generates solutions that *are twice as long as the optimal tour in the worst case* when: - Graph is undirected - Graph is fully connected - Graph where traveling costs on edges obey the triangle inequality. - On an undirected graph: - The traveling costs are symmetric: - Traveling costs from ``u`` to ``v`` are just as much as traveling from ``v`` to ``u`` .. tsp characteristics end See Also ......................... .. rubric:: References * Metric Algorithm from `Boost library `__ * `University of Waterloo TSP `__ * `Wikipedia: Traveling Salesman Problem `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/tsp/images/000077500000000000000000000000001414350551100163525ustar00rootroot00000000000000pgrouting-3.3.0/doc/tsp/images/CMakeLists.txt000066400000000000000000000005271414350551100211160ustar00rootroot00000000000000 SET(LOCAL_FILES wi29optimal.png wi29Solution.png ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/images/${f}" COPYONLY) list(APPEND LOCAL_IMG_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/images/${f}") endforeach() set(PROJECT_IMG_FILES ${PROJECT_IMG_FILES} ${LOCAL_IMG_FILES} PARENT_SCOPE) 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Aproximation using *metric* algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/metric_tsp_approx.html Boost Graph Inside .. rubric:: Availability: * Version 3.2.1 * Metric Algorithm from `Boost library `__ * Simulated Annealing Algorithm no longer supported * The Simulated Annealing Algorithm related parameters are ignored: max_processing_time, tries_per_temperature, max_changes_per_temperature, max_consecutive_non_changes, initial_temperature, final_temperature, cooling_factor, randomize * Version 2.3.0 * Signature change * Old signature no longer supported * Version 2.0.0 * **Official** function Description ------------------------------------------------------------------------------- .. include:: TSP-family.rst :start-after: tsp problem definition start :end-before: tsp problem definition end .. include:: TSP-family.rst :start-after: tsp characteristics start :end-before: tsp characteristics end Characteristics ............................................................................... - Can be Used with :doc:`costMatrix-category` functions preferably with `directed => false`. - With ``directed => false`` - Will generate a graph that: - is undirected - is fully connected (As long as the graph has one component) - all traveling costs on edges obey the triangle inequality. - When ``start_vid = 0 OR end_vid = 0`` - The solutions generated is garanteed to be *twice as long as the optimal tour in the worst case* - When ``start_vid != 0 AND end_vid != 0 AND start_vid != end_vid`` - It is **not garanteed** that the solution will be, in the worse case, twice as long as the optimal tour, due to the fact that `end_vid` is forced to be in a fixed position. - With ``directed => true`` - It is **not garanteed** that the solution will be, in the worse case, twice as long as the optimal tour - Will generate a graph that: - is directed - is fully connected (As long as the graph has one component) - some (or all) traveling costs on edges might not obey the triangle inequality. - As an undirected graph is required, the directed graph is transformed as follows: - edges `(u, v)` and `(v, u)` is considered to be the same edge (denoted `(u, v)` - if ``agg_cost`` differs between one or more instances of edge `(u, v)` - The minimum value of the ``agg_cost`` all instances of edge `(u, v)` is going to be considered as the ``agg_cost`` of edge `(u, v)` - Some (or all) traveling costs on edges will still might not obey the triangle inequality. - When the data is incomplete, but it is a connected graph, the missing values will be calculated with dijkstra algorithm. Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. index:: single: TSP .. code-block:: none pgr_TSP(Matrix SQL, [start_id], [end_id]) RETURNS SETOF (seq, node, cost, agg_cost) .. rubric:: Example: Using :doc:`pgr_dijkstraCostMatrix` to generate the matrix information * **Line 5** Vertices 15 to 18 are not included because they are not connected. .. literalinclude:: doc-pgr_TSP.queries :start-after: -- q1 :end-before: -- q2 :linenos: Parameters ------------------------------------------------------------------------------- =============== =========== ============ ================================================= Parameter Type Default Description =============== =========== ============ ================================================= **Matrix SQL** ``TEXT`` An SQL query, described in the `Matrix SQL`_ section. **start_vid** ``BIGINT`` ``0`` The first visiting vertex * When `0` any vertex can become the first visiting vertex. **end_vid** ``BIGINT`` ``0`` Last visiting vertex before returning to ``start_vid``. * When ``0`` any vertex can become the last visiting vertex before returning to ``start_vid``. * When ``NOT 0`` and ``start_vid = 0`` then it is the first and last vertex =============== =========== ============ ================================================= Inner query ------------------------------------------------------------------------------- .. include:: ../../src/common/matrixRows_input.c :start-after: Matrix SQL definition start :end-before: Matrix SQL definition end Result Columns ------------------------------------------------------------------------------- .. include:: ../../include/c_types/tsp_tour_rt.h :start-after: TSP tour return type begin :end-before: TSP tour return type end Additional Examples ------------------------------------------------------------------------------- :Example: Start from vertex :math:`7` * **Line 9** ``start_vid => 7`` .. literalinclude:: doc-pgr_TSP.queries :start-after: -- q2 :end-before: -- q3 :linenos: :Example: Using points of interest to generate an asymetric matrix. To generate an asymmetric matrix: * **Line 5** The ``side`` information of pointsOfInterset is ignored by not including it in the query * **Line 7** Generating an asymetric matrix with ``directed => true`` * :math:`min(agg\_cost(u, v), agg\_cost(v, u))` is going to be considered as the ``agg_cost`` * The solution that can be larger than *twice as long as the optimal tour* because: * Triangle inequality might not be satisfied. * ``start_id != 0 AND end_id != 0`` .. literalinclude:: doc-pgr_TSP.queries :start-after: -- q3 :end-before: -- q4 :linenos: :Example: Connected incomplete data Using selected edges (2, 4, 5, 8, 9, 15) the matrix is not complete but it is connected .. literalinclude:: doc-pgr_TSP.queries :start-after: -- q4 :end-before: -- q5 :linenos: Edge `(5,12)` does not exist on the initial data, but it is calculated internally. .. literalinclude:: doc-pgr_TSP.queries :start-after: -- q5 :end-before: -- q6 :linenos: The queries use the :doc:`sampledata` network. See Also ------------------------------------------------------------------------------- * :doc:`TSP-family` * Metric Algorithm from `Boost library `__ * `Boost library `__ * `Wikipedia: Traveling Salesman Problem `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/tsp/pgr_TSPeuclidean.rst000066400000000000000000000144621414350551100210360ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.5 `__ `2.4 `__ `2.3 `__ pgr_TSPeuclidean ============================================================================= * ``pgr_TSPeuclidean`` - Aproximation using *metric* algorithm. .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/metric_tsp_approx.html Boost Graph Inside .. rubric:: Availability: * Version 3.2.1 * Metric Algorithm from `Boost library `__ * Simulated Annealing Algorithm no longer supported * The Simulated Annealing Algorithm related parameters are ignored: max_processing_time, tries_per_temperature, max_changes_per_temperature, max_consecutive_non_changes, initial_temperature, final_temperature, cooling_factor, randomize * Version 3.0.0 * Name change from pgr_eucledianTSP * Version 2.3.0 * New **Official** function Description ------------------------------------------------------------------------------- .. include:: TSP-family.rst :start-after: tsp problem definition start :end-before: tsp problem definition end .. include:: TSP-family.rst :start-after: tsp characteristics start :end-before: tsp characteristics end Characteristics ............................................................................... - Duplicated identifiers with different coordinates are not allowed - The coordinates are quite the same for the same identifier, for example :: 1, 3.5, 1 1, 3.499999999999 0.9999999 - The coordinates are quite different for the same identifier, for example :: 2 , 3.5, 1.0 2 , 3.6, 1.1 - Any duplicated identifier will be ignored. The coordinates that will be kept is arbitrarly. Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. index:: single: TSPeuclidean .. code-block:: none pgr_TSPeuclidean(Coordinates SQL, [start_id], [end_id]) RETURNS SETOF (seq, node, cost, agg_cost) :Example: With default values .. literalinclude:: doc-pgr_TSPeuclidean.queries :start-after: -- q1 :end-before: -- q2 Parameters ------------------------------------------------------------------------------- =================== =========== ============ ================================================= Parameter Type Default Description =================== =========== ============ ================================================= **Coordinates SQL** ``TEXT`` An SQL query, described in the `Coordinates SQL`_ section **start_vid** ``BIGINT`` ``0`` The first visiting vertex * When `0` any vertex can become the first visiting vertex. **end_vid** ``BIGINT`` ``0`` Last visiting vertex before returning to ``start_vid``. * When ``0`` any vertex can become the last visiting vertex before returning to ``start_vid``. * When ``NOT 0`` and ``start_vid = 0`` then it is the first and last vertex =================== =========== ============ ================================================= Inner query ------------------------------------------------------------------------------- .. include:: ../../src/common/coordinates_input.c :start-after: Coordinates SQL definition start :end-before: Coordinates SQL definition end Result Columns ------------------------------------------------------------------------------- .. include:: ../../include/c_types/tsp_tour_rt.h :start-after: TSP tour return type begin :end-before: TSP tour return type end Additional Examples ------------------------------------------------------------------------------- :Example: Test 29 cities of Western Sahara This example shows how to make performance tests using University of Waterloo's `example data `__ using the 29 cities of `Western Sahara dataset `__ Creating a table for the data and storing the data .. literalinclude:: wi29.queries :start-after: -- data start :end-before: -- data end Adding a geometry (for visual purposes) .. literalinclude:: wi29.queries :start-after: -- data end Getting a total cost of the tour, compare the value with the length of an optimal tour is 27603, given on the dataset .. literalinclude:: doc-pgr_TSPeuclidean.queries :start-after: -- q2 :end-before: -- q3 Getting a geometry of the tour .. literalinclude:: doc-pgr_TSPeuclidean.queries :start-after: -- q3 :end-before: -- q4 Visualy, The first image is the `optimal solution `__ and the second image is the solution obtained with ``pgr_TSPeuclidean``. .. image:: images/wi29optimal.png :scale: 50% .. image:: images/wi29Solution.png :scale: 50% See Also ------------------------------------------------------------------------------- * :doc:`TSP-family` * :doc:`sampledata` network. * Metric Algorithm from `Boost library `__ * `University of Waterloo TSP `__ * `Wikipedia: Traveling Salesman Problem `__ .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/version/000077500000000000000000000000001414350551100157645ustar00rootroot00000000000000pgrouting-3.3.0/doc/version/CMakeLists.txt000066400000000000000000000005021414350551100205210ustar00rootroot00000000000000 SET(LOCAL_FILES pgr_version.rst pgr_full_version.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/version/pgr_full_version.rst000066400000000000000000000047301414350551100221010ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_full_version =============================================================================== ``pgr_full_version`` — Get the details of pgRouting version information. .. rubric:: Availability * Version 3.0.0 * New **official** function Description ------------------------------------------------------------------------------- Get the details of pgRouting version information .. index:: single: full_version Signatures ------------------------------------------------------------------------------- .. code-block:: sql pgr_full_version() RETURNS RECORD OF (version, build_type, compile_date, library, system, PostgreSQL, compiler, boost, hash) :Example: Information about when this documentation was built .. literalinclude:: doc-full_version.queries :start-after: -- q1 :end-before: -- q2 Result Columns ------------------------------------------------------------------------------- ================ =========== =============================== Column Type Description ================ =========== =============================== **version** ``TEXT`` pgRouting version **build_type** ``TEXT`` The Build type **compile_date** ``TEXT`` Compilation date **library** ``TEXT`` Library name and version **system** ``TEXT`` Operative system **postgreSQL** ``TEXT`` pgsql used **compiler** ``TEXT`` Compiler and version **boost** ``TEXT`` Boost version **hash** ``TEXT`` Git hash of pgRouting build ================ =========== =============================== See Also ------------------------------------------------------------------------------- * :doc:`pgr_version` .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/version/pgr_version.rst000066400000000000000000000046711414350551100210630ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ `2.0 `__ pgr_version =============================================================================== ``pgr_version`` — Query for pgRouting version information. .. rubric:: Availability * Version 3.0.0 * Breaking change on result columns * Support for old signature ends * Version 2.0.0 * **Official** function Description ------------------------------------------------------------------------------- Returns pgRouting version information. .. index:: single: version Signature ------------------------------------------------------------------------------- .. code-block:: sql TEXT pgr_version(); :Example: pgRouting Version for this documentation .. literalinclude:: doc-version.queries :start-after: -- q1 :end-before: -- q2 Result Columns ------------------------------------------------------------------------------- =========== =============================== Type Description =========== =============================== ``TEXT`` pgRouting version =========== =============================== See Also ------------------------------------------------------------------------------- * :doc:`pgr_full_version` .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/vrp_basic/000077500000000000000000000000001414350551100162475ustar00rootroot00000000000000pgrouting-3.3.0/doc/vrp_basic/CMakeLists.txt000066400000000000000000000004551414350551100210130ustar00rootroot00000000000000 SET(LOCAL_FILES pgr_vrpOneDepot.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/vrp_basic/pgr_vrpOneDepot.rst000066400000000000000000000047031414350551100221220ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ `2.1 `__ pgr_vrpOneDepot - Experimental =============================================================================== .. include:: experimental.rst :start-after: begin-warn-expr :end-before: end-warn-expr **No documentation available** .. rubric:: Availability * Version 2.1.0 * New **experimental** function * **TBD** Description ------------------------------------------------------------------------------- * TBD Signatures ------------------------------------------------------------------------------- * TBD Parameters ------------------------------------------------------------------------------- * TBD Inner query ------------------------------------------------------------------------------- * TBD Result Columns ------------------------------------------------------------------------------- * TBD Additional Example: ------------------------------------------------------------------------------- .. literalinclude:: doc-pgr_vrpOneDepot.queries .. rubric:: Data .. literalinclude:: ../../tools/testers/solomon_100_rc101.data.sql See Also ------------------------------------------------------------------------------- * https://en.wikipedia.org/wiki/Vehicle_routing_problem .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/withPoints/000077500000000000000000000000001414350551100164475ustar00rootroot00000000000000pgrouting-3.3.0/doc/withPoints/CMakeLists.txt000066400000000000000000000010441414350551100212060ustar00rootroot00000000000000 SET(LOCAL_FILES pgr_withPointsDD.rst pgr_withPoints.rst withPoints-family.rst pgr_withPointsCost.rst pgr_withPointsCostMatrix.rst pgr_withPointsKSP.rst pgr_withPointsVia.rst ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}") list(APPEND LOCAL_DOC_FILES ${PGR_DOCUMENTATION_SOURCE_DIR}/${f}) endforeach() add_subdirectory("images") set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) set(PROJECT_IMG_FILES ${PROJECT_IMG_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/withPoints/images/000077500000000000000000000000001414350551100177145ustar00rootroot00000000000000pgrouting-3.3.0/doc/withPoints/images/CMakeLists.txt000066400000000000000000000005731414350551100224610ustar00rootroot00000000000000 SET(LOCAL_FILES leftDrivingSide.png noMatterDrivingSide.png rightDrivingSide.png ) foreach (f ${LOCAL_FILES}) configure_file(${f} "${PGR_DOCUMENTATION_SOURCE_DIR}/images/${f}" COPYONLY) list(APPEND LOCAL_IMG_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/images/${f}") endforeach() set(PROJECT_IMG_FILES ${PROJECT_IMG_FILES} ${LOCAL_IMG_FILES} PARENT_SCOPE) pgrouting-3.3.0/doc/withPoints/images/leftDrivingSide.png000066400000000000000000002771561414350551100235260ustar00rootroot00000000000000‰PNG  IHDRtK ¼ßÃbKGDÿÿÿ ½§“ pHYsÄÄ•+tIMEà# ˜Çã IDATxÚìÝwxUÇñï&¤'„H¥H/ÒAA¤£) * D@^i6º ½¨ M¥D@@Ez‘Þ ¡…´MÙ$»ï)’„] 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;ÃÂÇÿ¾ùæ­ê2)%…´´4H’T­y=IÒ6“’’Br(ÄÒ~€nݶ¬“C]wýã²:u¶|¥¾ý–Zññ$$$8@’$Þ$I[êÄŒ î3fËÃ^½zÁO% CÿŒ F’Tí¹§$i›:-#ƒä1cªÌú$ö$I†=I’¶^ÇŽi۪̞½ãWfút:´mK»víI’aO’¤­uã€$]vÙ_¤Ë.cÈÀˆ$É°'IRe8樣hž› Ÿ|²ãVbÜ8v-)¡OïÞˆ$É°'IReyêž{hüä“;ìù›ŒÅ“wßí@H’ {’$U¦n]»rÙþû“xþùÛý¹“ àêC¥sç΄$É°'IRe»rÐ úÆÆRãŽ;¶ÛsÆ JFJ ƒÏ=×$ö$IÚVF?ø gÂv |qC‡rN<;|¸…—$ýí„"‘HÄ2H’¶·þƒóvQ¹#Gn“þ“ #%Å 'IúÛrËž$i‡xñ¸µ[7Ÿq|üqåu`__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ pgr_withPoints - Proposed =============================================================================== ``pgr_withPoints`` - Returns the shortest path in a graph with additional temporary vertices. .. include:: proposed.rst :start-after: begin-warning :end-before: end-warning .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability * Version 3.2.0 * New **proposed** function: * pgr_withPoints(Combinations) * Version 2.2.0 * New **proposed** function .. rubric:: Support * **Supported versions:** current(`3.2 `__) `3.1 `__) `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ Description ------------------------------------------------------------------------------- Modify the graph to include points defined by points_sql. Using Dijkstra algorithm, find the shortest path(s) **The main characteristics are:** - Process is done only on edges with positive costs. - Vertices of the graph are: - **positive** when it belongs to the edges_sql - **negative** when it belongs to the points_sql - Values are returned when there is a path. - When the starting vertex and ending vertex are the same, there is no path. - The agg_cost the non included values (v, v) is 0 - When the starting vertex and ending vertex are the different and there is no path: - The agg_cost the non included values (u, v) is ∞ - For optimization purposes, any duplicated value in the start_vids or end_vids are ignored. - The returned values are ordered: - start_vid ascending - end_vid ascending * Running time: :math:`O(|start\_vids|\times(V \log V + E))` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_withPoints(edges_sql, points_sql, from_vid, to_vid [, directed] [, driving_side] [, details]) pgr_withPoints(edges_sql, points_sql, from_vid, to_vids [, directed] [, driving_side] [, details]) pgr_withPoints(edges_sql, points_sql, from_vids, to_vid [, directed] [, driving_side] [, details]) pgr_withPoints(edges_sql, points_sql, from_vids, to_vids [, directed] [, driving_side] [, details]) pgr_withPoints(Edges SQL, Points SQL, Combinations SQL [, directed] [, driving_side] [, details]) RETURNS SET OF (seq, path_seq, [start_vid,] [end_vid,] node, edge, cost, agg_cost) .. rubric:: Using defaults .. code-block:: none pgr_withPoints(edges_sql, points_sql, from_vid, to_vid) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) :Example: From point :math:`1` to point :math:`3` - For a **directed** graph. - The driving side is set as **b** both. So arriving/departing to/from the point(s) can be in any direction. - No **details** are given about distance of other points of points_sql query. .. literalinclude:: doc-pgr_withPoints.queries :start-after: --e1 :end-before: --e2 .. index:: single: withPoints(One to One) - Proposed on v2.2 One to One ............................................................................... .. code-block:: none pgr_withPoints(edges_sql, points_sql, from_vid, to_vid [, directed] [, driving_side] [, details]) RETURNS SET OF (seq, path_seq, node, edge, cost, agg_cost) :Example: From point :math:`1` to vertex :math:`3` with details of passing points .. literalinclude:: doc-pgr_withPoints.queries :start-after: --e2 :end-before: --e3 .. index:: single: withPoints(One to Many) - Proposed on v2.2 One to Many ............................................................................... .. code-block:: none pgr_withPoints(edges_sql, points_sql, from_vid, to_vids [, directed] [, driving_side] [, details]) RETURNS SET OF (seq, path_seq, end_vid, node, edge, cost, agg_cost) :Example: From point :math:`1` to point :math:`3` and vertex :math:`5` .. literalinclude:: doc-pgr_withPoints.queries :start-after: --e3 :end-before: --e4 .. index:: single: withPoints(Many to One) - Proposed on v2.2 Many to One ............................................................................... .. code-block:: none pgr_withPoints(edges_sql, points_sql, from_vids, to_vid [, directed] [, driving_side] [, details]) RETURNS SET OF (seq, path_seq, start_vid, node, edge, cost, agg_cost) :Example: From point :math:`1` and vertex :math:`2` to point :math:`3` .. literalinclude:: doc-pgr_withPoints.queries :start-after: --e4 :end-before: --e5 .. index:: single: withPoints(Many to Many) - Proposed on v2.2 Many to Many ............................................................................... .. code-block:: none pgr_withPoints(edges_sql, points_sql, from_vids, to_vids [, directed] [, driving_side] [, details]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) :Example: From point :math:`1` and vertex :math:`2` to point :math:`3` and vertex :math:`7` .. literalinclude:: doc-pgr_withPoints.queries :start-after: --e5 :end-before: --q2 .. index:: single: withPoints(Combinations) - Proposed on v3.2 Combinations SQL ............................................................................... .. code-block:: none pgr_withPoints(Edges SQL, Points SQL, Combinations SQL [, directed] [, driving_side] [, details]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) :Example: Two (source, target) combinations: (from point :math:`1` to vertex :math:`3`), and (from vertex :math:`2` to point :math:`3`) with **right** side driving topology. .. literalinclude:: doc-pgr_withPoints.queries :start-after: --q5 :end-before: --q6 Parameters ------------------------------------------------------------------------------- ====================== ====================== ================================================= Parameter Type Description ====================== ====================== ================================================= **Edges SQL** ``TEXT`` `Edges query` as described above. **Points SQL** ``TEXT`` `Points query` as described above. **Combinations SQL** ``TEXT`` `Combinations query` as described below. **start_vid** ``ANY-INTEGER`` Starting vertex identifier. When negative: is a point's pid. **end_vid** ``ANY-INTEGER`` Ending vertex identifier. When negative: is a point's pid. **start_vids** ``ARRAY[ANY-INTEGER]`` Array of identifiers of starting vertices. When negative: is a point's pid. **end_vids** ``ARRAY[ANY-INTEGER]`` Array of identifiers of ending vertices. When negative: is a point's pid. **directed** ``BOOLEAN`` (optional). When ``false`` the graph is considered as Undirected. Default is ``true`` which considers the graph as Directed. **driving_side** ``CHAR`` (optional) Value in ['b', 'r', 'l', NULL] indicating if the driving side is: - In the right or left or - If it doesn't matter with 'b' or NULL. - If column not present 'b' is considered. **details** ``BOOLEAN`` (optional). When ``true`` the results will include the points in points_sql that are in the path. Default is ``false`` which ignores other points of the points_sql. ====================== ====================== ================================================= Inner query ------------------------------------------------------------------------------- .. description of the sql queries Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Points query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: points_sql_start :end-before: points_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end Result Columns ------------------------------------------------------------------------------- ============= =========== ================================================= Column Type Description ============= =========== ================================================= **seq** ``INTEGER`` Row sequence. **path_seq** ``INTEGER`` Path sequence that indicates the relative position on the path. **start_vid** ``BIGINT`` Identifier of the starting vertex. When negative: is a point's pid. **end_vid** ``BIGINT`` Identifier of the ending vertex. When negative: is a point's pid. **node** ``BIGINT`` Identifier of the node: - A positive value indicates the node is a vertex of edges_sql. - A negative value indicates the node is a point of points_sql. **edge** ``BIGINT`` Identifier of the edge used to go from ``node`` to the next node in the path sequence. - ``-1`` for the last row in the path sequence. **cost** ``FLOAT`` Cost to traverse from ``node`` using ``edge`` to the next ``node`` in the path sequence. - ``0`` for the last row in the path sequence. **agg_cost** ``FLOAT`` Aggregate cost from ``start_pid`` to ``node``. - ``0`` for the first row in the path sequence. ============= =========== ================================================= Additional Examples ------------------------------------------------------------------------------- :Example: Which path (if any) passes in front of point :math:`6` or vertex :math:`6` with **right** side driving topology. .. literalinclude:: doc-pgr_withPoints.queries :start-after: --q2 :end-before: --q3 :Example: Which path (if any) passes in front of point :math:`6` or vertex :math:`6` with **left** side driving topology. .. literalinclude:: doc-pgr_withPoints.queries :start-after: --q3 :end-before: --q4 :Example: From point :math:`1` and vertex :math:`2` to point :math:`3` to vertex :math:`7` on an **undirected** graph, with details. .. literalinclude:: doc-pgr_withPoints.queries :start-after: --q4 :end-before: --q5 The queries use the :doc:`sampledata` network See Also ------------------------------------------------------------------------------- * :doc:`withPoints-family` .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/withPoints/pgr_withPointsCost.rst000066400000000000000000000263211414350551100230560ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ pgr_withPointsCost - Proposed =============================================================================== ``pgr_withPointsCost`` - Calculates the shortest path and returns only the aggregate cost of the shortest path(s) found, for the combination of points given. .. include:: proposed.rst :start-after: begin-warning :end-before: end-warning .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability * Version 3.2.0 * New **proposed** function: * pgr_withPointsCost(Combinations) * Version 2.2.0 * New **proposed** function Description ------------------------------------------------------------------------------- Modify the graph to include points defined by points_sql. Using Dijkstra algorithm, return only the aggregate cost of the shortest path(s) found. The main characteristics are: - It does not return a path. - Returns the sum of the costs of the shortest path for pair combination of vertices in the modified graph. - Vertices of the graph are: - **positive** when it belongs to the edges_sql - **negative** when it belongs to the points_sql - Process is done only on edges with positive costs. - Values are returned when there is a path. - The returned values are in the form of a set of `(start_vid, end_vid, agg_cost)`. - When the starting vertex and ending vertex are the same, there is no path. - The `agg_cost` in the non included values `(v, v)` is `0` - When the starting vertex and ending vertex are the different and there is no path. - The `agg_cost` in the non included values `(u, v)` is :math:`\infty` - If the values returned are stored in a table, the unique index would be the pair: `(start_vid, end_vid)`. - For **undirected** graphs, the results are **symmetric**. - The `agg_cost` of `(u, v)` is the same as for `(v, u)`. - For optimization purposes, any duplicated value in the `start_vids` or `end_vids` is ignored. - The returned values are ordered: - `start_vid` ascending - `end_vid` ascending - Running time: :math:`O(| start\_vids | * (V \log V + E))` Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_withPointsCost(edges_sql, points_sql, from_vid, to_vid [, directed] [, driving_side]) pgr_withPointsCost(edges_sql, points_sql, from_vid, to_vids [, directed] [, driving_side]) pgr_withPointsCost(edges_sql, points_sql, from_vids, to_vid [, directed] [, driving_side]) pgr_withPointsCost(edges_sql, points_sql, from_vids, to_vids [, directed] [, driving_side]) pgr_withPointsCost(Edges SQL, Points SQL, Combinations SQL [, directed] [, driving_side] [, details]) RETURNS SET OF (start_vid, end_vid, agg_cost) .. note:: There is no **details** flag, unlike the other members of the withPoints family of functions. .. rubric:: Using defaults .. code-block:: none pgr_withPointsCost(edges_sql, points_sql, start_vid, end_vid) RETURNS SET OF (start_vid, end_vid, agg_cost) :Example: From point :math:`1` to point :math:`3` - For a **directed** graph. - The driving side is set as **b** both. So arriving/departing to/from the point(s) can be in any direction. .. literalinclude:: doc-pgr_withPointsCost.queries :start-after: --e1 :end-before: --e2 .. index:: single: withPointsCost(One To One) - proposed on v2.2 One to One ............................................................................... .. code-block:: none pgr_withPointsCost(edges_sql, points_sql, from_vid, to_vid [, directed] [, driving_side]) RETURNS SET OF (seq, node, edge, cost, agg_cost) :Example: From point :math:`1` to vertex :math:`3` on an **undirected** graph. .. literalinclude:: doc-pgr_withPointsCost.queries :start-after: --e2 :end-before: --e3 .. index:: single: withPointsCost(One To Many) - proposed on v2.2 One to Many ............................................................................... .. code-block:: none pgr_withPointsCost(edges_sql, points_sql, from_vid, to_vids [, directed] [, driving_side]) RETURNS SET OF (start_vid, end_vid, agg_cost) :Example: From point :math:`1` to point :math:`3` and vertex :math:`5` on a **directed** graph. .. literalinclude:: doc-pgr_withPointsCost.queries :start-after: --e3 :end-before: --e4 .. index:: single: withPointsCost(Many To One) - proposed on v2.2 Many to One ............................................................................... .. code-block:: none pgr_withPointsCost(edges_sql, points_sql, from_vids, to_vid [, directed] [, driving_side]) RETURNS SET OF (start_vid, end_vid, agg_cost) :Example: From point :math:`1` and vertex :math:`2` to point :math:`3` on a **directed** graph. .. literalinclude:: doc-pgr_withPointsCost.queries :start-after: --e4 :end-before: --e5 .. index:: single: withPointsCost(Many To Many) - proposed on v2.2 Many to Many ............................................................................... .. code-block:: none pgr_withPointsCost(edges_sql, points_sql, from_vids, to_vids [, directed] [, driving_side]) RETURNS SET OF (start_vid, end_vid, agg_cost) :Example: From point :math:`1` and vertex :math:`2` to point :math:`3` and vertex :math:`7` on a **directed** graph. .. literalinclude:: doc-pgr_withPointsCost.queries :start-after: --e5 :end-before: --q2 .. index:: single: withPointsCost(Combinations) -- Proposed on v3.2 Combinations SQL ............................................................................... .. code-block:: none pgr_withPointsCost(Edges SQL, Points SQL, Combinations SQL [, directed] [, driving_side] [, details]) RETURNS SET OF (seq, path_seq, start_vid, end_vid, node, edge, cost, agg_cost) :Example: Two (source, target) combinations: (from point :math:`1` to vertex :math:`3`), and (from vertex :math:`2` to point :math:`3`) with **right** side driving topology. .. literalinclude:: doc-pgr_withPointsCost.queries :start-after: --q5 :end-before: --q6 Parameters ------------------------------------------------------------------------------- ====================== ====================== ================================================= Parameter Type Description ====================== ====================== ================================================= **Edges SQL** ``TEXT`` `Edges query` as described above. **Points SQL** ``TEXT`` `Points query` as described above. **Combinations SQL** ``TEXT`` `Combinations query` as described below. **start_vid** ``ANY-INTEGER`` Starting vertex identifier. When negative: is a point's pid. **end_vid** ``ANY-INTEGER`` Ending vertex identifier. When negative: is a point's pid. **start_vids** ``ARRAY[ANY-INTEGER]`` Array of identifiers of starting vertices. When negative: is a point's pid. **end_vids** ``ARRAY[ANY-INTEGER]`` Array of identifiers of ending vertices. When negative: is a point's pid. **directed** ``BOOLEAN`` (optional). When ``false`` the graph is considered as Undirected. Default is ``true`` which considers the graph as Directed. **driving_side** ``CHAR`` (optional) Value in ['b', 'r', 'l', NULL] indicating if the driving side is: - In the right or left or - If it doesn't matter with 'b' or NULL. - If column not present 'b' is considered. ====================== ====================== ================================================= Inner query ------------------------------------------------------------------------------- .. description of the sql queries Edges query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end Points query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: points_sql_start :end-before: points_sql_end Combinations query ............................................................................... .. include:: pgRouting-concepts.rst :start-after: basic_combinations_sql_start :end-before: basic_combinations_sql_end Result Columns ------------------------------------------------------------------------------- ============= =========== ================================================= Column Type Description ============= =========== ================================================= **start_vid** ``BIGINT`` Identifier of the starting vertex. When negative: is a point's pid. **end_vid** ``BIGINT`` Identifier of the ending point. When negative: is a point's pid. **agg_cost** ``FLOAT`` Aggregate cost from ``start_vid`` to ``end_vid``. ============= =========== ================================================= Additional Examples ------------------------------------------------------------------------------- :Example: From point :math:`1` and vertex :math:`2` to point :math:`3` and vertex :math:`7`, with **right** side driving topology .. literalinclude:: doc-pgr_withPointsCost.queries :start-after: --q2 :end-before: --q3 :Example: From point :math:`1` and vertex :math:`2` to point :math:`3` and vertex :math:`7`, with **left** side driving topology .. literalinclude:: doc-pgr_withPointsCost.queries :start-after: --q3 :end-before: --q4 :Example: From point :math:`1` and vertex :math:`2` to point :math:`3` and vertex :math:`7`, does not matter driving side. .. literalinclude:: doc-pgr_withPointsCost.queries :start-after: --q4 :end-before: --q5 The queries use the :doc:`sampledata` network. See Also ------------------------------------------------------------------------------- * :doc:`withPoints-family` .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/withPoints/pgr_withPointsCostMatrix.rst000066400000000000000000000132301414350551100242360ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ pgr_withPointsCostMatrix - proposed =============================================================================== ``pgr_withPointsCostMatrix`` - Calculates the shortest path and returns only the aggregate cost of the shortest path(s) found, for the combination of points given. .. include:: proposed.rst :start-after: begin-warning :end-before: end-warning .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability * Version 2.2.0 * New **proposed** function Description ------------------------------------------------------------------------------- * **TBD** Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_withPointsCostMatrix(edges_sql, points_sql, start_vids [, directed] [, driving_side]) RETURNS SET OF (start_vid, end_vid, agg_cost) .. note:: There is no **details** flag, unlike the other members of the withPoints family of functions. .. rubric:: Using default The minimal signature: - Is for a **directed** graph. - The driving side is set as **b** both. So arriving/departing to/from the point(s) can be in any direction. .. code-block:: none pgr_withPointsCostMatrix(edges_sql, points_sql, start_vid) RETURNS SET OF (start_vid, end_vid, agg_cost) :Example: Cost matrix for points :math:`\{1, 6\}` and vertices :math:`\{3, 6\}` on a **directed** graph .. literalinclude:: doc-pgr_withPointsCostMatrix.queries :start-after: -- withPoints q1 :end-before: -- withPoints q2 .. index:: single: withPointsCostMatrix - Proposed on v2.2 Complete Signature ............................................................................... .. code-block:: none pgr_withPointsCostMatrix(edges_sql, points_sql, start_vids, directed:=true, driving_side:='b') RETURNS SET OF (start_vid, end_vid, agg_cost) :Example: Cost matrix for points :math:`\{1, 6\}` and vertices :math:`\{3, 6\}` on an **undirected** graph * Returning a **symmetrical** cost matrix * Using the default **side** value on the **points_sql** query * Using the default **driving_side** value .. literalinclude:: doc-pgr_withPointsCostMatrix.queries :start-after: -- withPoints q2 :end-before: -- withPoints q3 Parameters ------------------------------------------------------------------------------- ================ ====================== ================================================= Parameter Type Description ================ ====================== ================================================= **edges_sql** ``TEXT`` Edges SQL query as described above. **points_sql** ``TEXT`` Points SQL query as described above. **start_vids** ``ARRAY[ANY-INTEGER]`` Array of identifiers of starting vertices. When negative: is a point's pid. **directed** ``BOOLEAN`` (optional). When ``false`` the graph is considered as Undirected. Default is ``true`` which considers the graph as Directed. **driving_side** ``CHAR`` (optional) Value in ['b', 'r', 'l', NULL] indicating if the driving side is: - In the right or left or - If it doesn't matter with 'b' or NULL. - If column not present 'b' is considered. ================ ====================== ================================================= .. include:: pgRouting-concepts.rst :start-after: return_cost_start :end-before: return_cost_end Inner query ------------------------------------------------------------------------------- .. description of the sql queries .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end .. include:: pgRouting-concepts.rst :start-after: points_sql_start :end-before: points_sql_end Additional Examples ------------------------------------------------------------------------------- :Example: :doc:`pgr_TSP` using ``pgr_withPointsCostMatrix`` for points :math:`\{1, 6\}` and vertices :math:`\{3, 6\}` on an **undirected** graph .. literalinclude:: doc-pgr_withPointsCostMatrix.queries :start-after: -- withPoints q3 :end-before: -- withPoints q4 See Also ------------------------------------------------------------------------------- * :doc:`pgr_withPoints` * :doc:`costMatrix-category` * :doc:`pgr_TSP` * `sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/withPoints/pgr_withPointsDD.rst000066400000000000000000000176131414350551100224410ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ pgr_withPointsDD - Proposed =============================================================================== ``pgr_withPointsDD`` - Returns the driving distance from a starting point. .. include:: proposed.rst :start-after: begin-warning :end-before: end-warning .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability * Version 2.2.0 * New **proposed** function Description ------------------------------------------------------------------------------- Modify the graph to include points and using Dijkstra algorithm, extracts all the nodes and points that have costs less than or equal to the value ``distance`` from the starting point. The edges extracted will conform the corresponding spanning tree. Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. code-block:: none pgr_withPointsDD(edges_sql, points_sql, from_vids, distance [, directed] [, driving_side] [, details] [, equicost]) RETURNS SET OF (seq, node, edge, cost, agg_cost) .. rubric:: Using defaults - For a **directed** graph. - The driving side is set as **b** both. So arriving/departing to/from the point(s) can be in any direction. - No **details** are given about distance of other points of the query. .. code-block:: none pgr_withPointsDD(edges_sql, points_sql, start_vid, distance) RETURNS SET OF (seq, node, edge, cost, agg_cost) :Example: From point :math:`1` with :math:`agg\_cost <= 3.8` - For a **directed** graph. - The driving side is set as **b** both. So arriving/departing to/from the point(s) can be in any direction. - No **details** are given about distance of other points of the query. .. literalinclude:: doc-pgr_withPointsDD.queries :start-after: --q1 :end-before: --q2 .. index:: single: withPointsDD(Single Start Vertex) - Proposed on v2.2 Single vertex ............................................................................... Finds the driving distance depending on the optional parameters setup. .. code-block:: none pgr_withPointsDD(edges_sql, points_sql, from_vid, distance [, directed] [, driving_side] [, details]) RETURNS SET OF (seq, node, edge, cost, agg_cost) :Example: Right side driving topology, from point :math:`1` with :math:`agg\_cost <= 3.8` .. literalinclude:: doc-pgr_withPointsDD.queries :start-after: --q2 :end-before: --q3 .. index:: single: withPointsDD(Multiple Starting Vertices) - Proposed on v2.2 Multiple vertices ............................................................................... Finds the driving distance depending on the optional parameters setup. .. code-block:: none pgr_withPointsDD(edges_sql, points_sql, from_vids, distance [, directed] [, driving_side] [, details] [, equicost]) RETURNS SET OF (seq, node, edge, cost, agg_cost) Parameters ------------------------------------------------------------------------------- ================ ================= ================================================= Parameter Type Description ================ ================= ================================================= **edges_sql** ``TEXT`` Edges SQL query as described above. **points_sql** ``TEXT`` Points SQL query as described above. **start_vid** ``ANY-INTEGER`` Starting point id **distance** ``ANY-NUMERICAL`` Distance from the start_pid **directed** ``BOOLEAN`` (optional). When ``false`` the graph is considered as Undirected. Default is ``true`` which considers the graph as Directed. **driving_side** ``CHAR`` (optional). Value in ['b', 'r', 'l', NULL] indicating if the driving side is: - In the right or left or - If it doesn't matter with 'b' or NULL. - If column not present 'b' is considered. **details** ``BOOLEAN`` (optional). When ``true`` the results will include the driving distance to the points with in the ``distance``. Default is ``false`` which ignores other points of the points_sql. **equicost** ``BOOLEAN`` (optional). When ``true`` the nodes will only appear in the closest start_v list. Default is ``false`` which resembles several calls using the single starting point signatures. Tie brakes are arbitrary. ================ ================= ================================================= Inner query ------------------------------------------------------------------------------- .. description of the sql queries .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end .. include:: pgRouting-concepts.rst :start-after: points_sql_start :end-before: points_sql_end Result Columns ------------------------------------------------------------------------------- ============ =========== ================================================= Column Type Description ============ =========== ================================================= **seq** ``INT`` row sequence. **node** ``BIGINT`` Identifier of the node within the Distance from ``start_pid``. If ``details =: true`` a negative value is the identifier of a point. **edge** ``BIGINT`` Identifier of the edge used to go from ``node`` to the next node in the path sequence. - ``-1`` when ``start_vid`` = ``node``. **cost** ``FLOAT`` Cost to traverse ``edge``. - ``0`` when ``start_vid`` = ``node``. **agg_cost** ``FLOAT`` Aggregate cost from ``start_vid`` to ``node``. - ``0`` when ``start_vid`` = ``node``. ============ =========== ================================================= Additional Examples -------------------------------------------------------------------------------------- .. rubric:: Examples for queries marked as ``directed`` with ``cost`` and ``reverse_cost`` columns. The examples in this section use the following :ref:`fig1` :Example: Left side driving topology from point :math:`1` with :math:`agg\_cost <= 3.8`, with details .. literalinclude:: doc-pgr_withPointsDD.queries :start-after: --q3 :end-before: --q4 :Example: From point :math:`1` with :math:`agg\_cost <= 3.8`, does not matter driving side, with details .. literalinclude:: doc-pgr_withPointsDD.queries :start-after: --q4 :end-before: --q5 The queries use the :doc:`sampledata` network. See Also ------------------------------------------------------------------------------- * :doc:`pgr_drivingDistance` - Driving distance using dijkstra. * :doc:`pgr_alphaShape` - Alpha shape computation. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/withPoints/pgr_withPointsKSP.rst000066400000000000000000000165011414350551100226020ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ pgr_withPointsKSP - Proposed =============================================================================== ``pgr_withPointsKSP`` - Find the K shortest paths using Yen's algorithm. .. include:: proposed.rst :start-after: begin-warning :end-before: end-warning .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability * Version 2.2.0 * New **proposed** function Description ------------------------------------------------------------------------------- Modifies the graph to include the points defined in the ``points_sql`` and using Yen algorithm, finds the :math:`K` shortest paths. Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. index:: single: withPointsKSP - Proposed on v2.2 .. code-block:: none pgr_withPointsKSP(edges_sql, points_sql, start_pid, end_pid, K [, directed] [, heap_paths] [, driving_side] [, details]) RETURNS SET OF (seq, path_id, path_seq, node, edge, cost, agg_cost) .. rubric:: Using defaults .. code-block:: none pgr_withPointsKSP(edges_sql, points_sql, start_pid, end_pid, K) RETURNS SET OF (seq, path_id, path_seq, node, edge, cost, agg_cost) :Example: From point :math:`1` to point :math:`2` in :math:`2` cycles - For a **directed** graph. - The driving side is set as **b** both. So arriving/departing to/from the point(s) can be in any direction. - No **details** are given about distance of other points of the query. - No **heap paths** are returned. .. literalinclude:: doc-pgr_withPointsKSP.queries :start-after: --q1 :end-before: --q2 Complete Signature ............................................................................... Finds the :math:`K` shortest paths depending on the optional parameters setup. .. code-block:: none pgr_withPointsKSP(edges_sql, points_sql, start_pid, end_pid, K [, directed] [, heap_paths] [, driving_side] [, details]) RETURNS SET OF (seq, path_id, path_seq, node, edge, cost, agg_cost) :Example: From point :math:`1` to vertex :math:`6` in :math:`2` cycles with details. .. literalinclude:: doc-pgr_withPointsKSP.queries :start-after: --q2 :end-before: --q3 Parameters ------------------------------------------------------------------------------- ================ ================= ================================================= Parameter Type Description ================ ================= ================================================= **edges_sql** ``TEXT`` Edges SQL query as described above. **points_sql** ``TEXT`` Points SQL query as described above. **start_pid** ``ANY-INTEGER`` Starting point id. **end_pid** ``ANY-INTEGER`` Ending point id. **K** ``INTEGER`` Number of shortest paths. **directed** ``BOOLEAN`` (optional). When ``false`` the graph is considered as Undirected. Default is ``true`` which considers the graph as Directed. **heap_paths** ``BOOLEAN`` (optional). When ``true`` the paths calculated to get the shortests paths will be returned also. Default is ``false`` only the K shortest paths are returned. **driving_side** ``CHAR`` (optional) Value in ['b', 'r', 'l', NULL] indicating if the driving side is: - In the right or left or - If it doesn't matter with 'b' or NULL. - If column not present 'b' is considered. **details** ``BOOLEAN`` (optional). When ``true`` the results will include the driving distance to the points with in the ``distance``. Default is ``false`` which ignores other points of the points_sql. ================ ================= ================================================= Inner query ------------------------------------------------------------------------------- .. description of the sql queries .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end .. include:: pgRouting-concepts.rst :start-after: points_sql_start :end-before: points_sql_end Result Columns ------------------------------------------------------------------------------- ============ =========== ================================================= Column Type Description ============ =========== ================================================= **seq** ``INTEGER`` Row sequence. **path_seq** ``INTEGER`` Relative position in the path of node and edge. Has value 1 for the beginning of a path. **path_id** ``INTEGER`` Path identifier. The ordering of the paths: For two paths i, j if i < j then agg_cost(i) <= agg_cost(j). **node** ``BIGINT`` Identifier of the node in the path. Negative values are the identifiers of a point. **edge** ``BIGINT`` Identifier of the edge used to go from ``node`` to the next node in the path sequence. - ``-1`` for the last row in the path sequence. **cost** ``FLOAT`` Cost to traverse from ``node`` using ``edge`` to the next ``node`` in the path sequence. - ``0`` for the last row in the path sequence. **agg_cost** ``FLOAT`` Aggregate cost from ``start_pid`` to ``node``. - ``0`` for the first row in the path sequence. ============ =========== ================================================= Additional Examples -------------------------------------------------------------------------------------- :Example: Left side driving topology from point :math:`1` to point :math:`2` in :math:`2` cycles, with details .. literalinclude:: doc-pgr_withPointsKSP.queries :start-after: --q3 :end-before: --q4 :Example: Right side driving topology from point :math:`1` to point :math:`2` in :math:`2` cycles, with heap paths and details .. literalinclude:: doc-pgr_withPointsKSP.queries :start-after: --q4 :end-before: --q5 The queries use the :doc:`sampledata` network. See Also ------------------------------------------------------------------------------- * :doc:`withPoints-family` .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/withPoints/pgr_withPointsVia.rst000066400000000000000000000152331414350551100226650ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ pgr_withPointsVia - Proposed =============================================================================== ``pgr_withPointsVia`` - Get a path using the vertices/points indicated .. include:: proposed.rst :start-after: begin-warning :end-before: end-warning .. figure:: images/boost-inside.jpeg :target: https://www.boost.org/libs/graph/doc/table_of_contents.html Boost Graph Inside .. rubric:: Availability: * Version 3.0.0 * New **proposed** function Description ------------------------------------------------------------------------------- Modify the graph to include points and using Dijkstra algorithm, extracts all the nodes and points that have costs less than or equal to the value ``distance`` from the starting point. The edges extracted will conform the corresponding spanning tree. Signatures ------------------------------------------------------------------------------- .. rubric:: Summary .. index:: single: withPointsVia - Proposed on v2.2 .. code-block:: none withPointsVia(edges_sql, points_sql, start_pid, distance [, directed] [, driving_side] [, details]) RETURNS SET OF (seq, node, edge, cost, agg_cost) .. rubric:: Using defaults ................................................... .. code-block:: none withPointsVia(edges_sql, points_sql, start_pid, distance) RETURNS SET OF (seq, node, edge, cost, agg_cost) :Example: * **TBD** - For a **directed** graph. - The driving side is set as **b** both. So arriving/departing to/from the point(s) can be in any direction. - No **details** are given about distance of other points of the query. .. literalinclude:: doc-pgr_withPointsVia.queries :start-after: --q1 :end-before: --q2 .. index:: single: withPointsVia(edges_sql, points_sql, start_pid, distance, directed, driving_side, details) -- proposed Driving distance from a single point ............................................................................... Finds the driving distance depending on the optional parameters setup. .. code-block:: none pgr_withPointsVia(edges_sql, points_sql, start_pid, distance, directed := true, driving_side := 'b', details := false) RETURNS SET OF (seq, node, edge, cost, agg_cost) :Example: Right side driving topology .. literalinclude:: doc-pgr_withPointsVia.queries :start-after: --q2 :end-before: --q3 Inner query ------------------------------------------------------------------------------- .. description of the sql queries .. include:: pgRouting-concepts.rst :start-after: basic_edges_sql_start :end-before: basic_edges_sql_end .. include:: pgRouting-concepts.rst :start-after: points_sql_start :end-before: points_sql_end Parameters ............................................................................... ================ ================= ================================================= Parameter Type Description ================ ================= ================================================= **edges_sql** ``TEXT`` Edges SQL query as described above. **points_sql** ``TEXT`` Points SQL query as described above. **start_pid** ``ANY-INTEGER`` Starting point id. **distance** ``ANY_NUMERICAL`` Distance from the start_pid **directed** ``BOOLEAN`` (optional). When ``false`` the graph is considered as Undirected. Default is ``true`` which considers the graph as Directed. **driving_side** ``CHAR`` (optional) Value in ['b', 'r', 'l', NULL] indicating if the driving side is: - In the right or left or - If it doesn't matter with 'b' or NULL. - If column not present 'b' is considered. **details** ``BOOLEAN`` (optional). When ``true`` the results will include the driving distance to the points with in Distance. Default is ``false`` which ignores other points of the points_sql. ================ ================= ================================================= Result Columns ................................................... ============ =========== ================================================= Column Type Description ============ =========== ================================================= **seq** ``INT`` row sequence. **node** ``BIGINT`` Identifier of the node within the Distance from ``start_pid``. If ``details =: true`` a negative value is the identifier of a point. **edge** ``BIGINT`` Identifier of the edge used to go from ``node`` to the next node in the path sequence. - ``-1`` for the last row in the path sequence. **cost** ``FLOAT`` Cost to traverse from ``node`` using ``edge`` to the next ``node`` in the path sequence. - ``0`` for the last row in the path sequence. **agg_cost** ``FLOAT`` Aggregate cost from ``start_pid`` to ``node``. - ``0`` for the first row in the path sequence. ============ =========== ================================================= Additional Examples ------------------------------------------------------------------------------- - For queries marked as ``directed`` with ``cost`` and ``reverse_cost`` columns - The examples in this section use the following :ref:`fig1` :Example: Left side driving topology .. literalinclude:: doc-pgr_withPointsVia.queries :start-after: --q3 :end-before: --q4 :Example: Does not matter driving side. .. literalinclude:: doc-pgr_withPointsVia.queries :start-after: --q4 :end-before: --q5 See Also ------------------------------------------------------------------------------- * :doc:`pgr_drivingDistance` - Driving distance using dijkstra. * :doc:`pgr_alphaShape` - Alpha shape computation. * :doc:`pgr_pointsAsPolygon` - Polygon around set of points. * The queries use the :doc:`sampledata` network. .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/doc/withPoints/withPoints-family.rst000066400000000000000000000146731414350551100226430ustar00rootroot00000000000000.. **************************************************************************** pgRouting Manual Copyright(c) pgRouting Contributors This documentation is licensed under a Creative Commons Attribution-Share Alike 3.0 License: https://creativecommons.org/licenses/by-sa/3.0/ **************************************************************************** | * **Supported versions:** `Latest `__ (`3.3 `__) `3.2 `__ `3.1 `__ `3.0 `__ * **Unsupported versions:** `2.6 `__ `2.5 `__ `2.4 `__ `2.3 `__ `2.2 `__ withPoints - Family of functions =============================================================================== When points are also given as input: .. include:: proposed.rst :start-after: begin-warning :end-before: end-warning .. index proposed from here - :doc:`pgr_withPoints` - Route from/to points anywhere on the graph. - :doc:`pgr_withPointsCost` - Costs of the shortest paths. - :doc:`pgr_withPointsCostMatrix` - Costs of the shortest paths. - :doc:`pgr_withPointsKSP` - K shortest paths. - :doc:`pgr_withPointsDD` - Driving distance. .. index proposed to here .. toctree:: :hidden: pgr_withPoints pgr_withPointsCost pgr_withPointsCostMatrix pgr_withPointsKSP pgr_withPointsDD Images -------------- The squared vertices are the temporary vertices, The temporary vertices are added according to the driving side, The following images visually show the differences on how depending on the driving side the data is interpreted. .. rubric:: Right driving side .. image:: images/rightDrivingSide.png :scale: 50% .. rubric:: Left driving side .. image:: images/leftDrivingSide.png :scale: 50% .. rubric:: doesn't matter the driving side .. image:: images/noMatterDrivingSide.png :scale: 50% Introduction -------------- This family of functions was thought for routing vehicles, but might as well work for some other application that we can not think of. The with points family of function give you the ability to route between arbitrary points located outside the original graph. When given a point identified with a `pid` that its being mapped to and edge with an identifier `edge_id`, with a `fraction` along that edge (from the source to the target of the edge) and some additional information about which `side` of the edge the point is on, then routing from arbitrary points more accurately reflect routing vehicles in road networks, I talk about a family of functions because it includes different functionalities. - pgr_withPoints is pgr_dijkstra based - pgr_withPointsCost is pgr_dijkstraCost based - pgr_withPointsKSP is pgr_ksp based - pgr_withPointsDD is pgr_drivingDistance based In all this functions we have to take care of as many aspects as possible: - Must work for routing: - Cars (directed graph) - Pedestrians (undirected graph) - Arriving at the point: - In either side of the street. - Compulsory arrival on the side of the street where the point is located. - Countries with: - Right side driving - Left side driving - Some points are: - Permanent, for example the set of points of clients stored in a table in the data base - Temporal, for example points given through a web application - The numbering of the points are handled with negative sign. - Original point identifiers are to be positive. - Transformation to negative is done internally. - For results for involving vertices identifiers - positive sign is a vertex of the original graph - negative sign is a point of the temporary points The reason for doing this is to avoid confusion when there is a vertex with the same number as identifier as the points identifier. Graph & edges ---------------- - Let :math:`G_d(V,E)` where :math:`V` is the set of vertices and :math:`E` is the set of edges be the original directed graph. - An edge of the original `edges_sql` is :math:`(id, source, target, cost, reverse\_cost)` will generate internally - :math:`(id, source, target, cost)` - :math:`(id, target, source, reverse\_cost)` Point Definition ---------------- - A point is defined by the quadruplet: :math:`(pid, eid, fraction, side)` - **pid** is the point identifier - **eid** is an edge id of the `edges_sql` - **fraction** represents where the edge `eid` will be cut. - **side** Indicates the side of the edge where the point is located. Creating Temporary Vertices in the Graph ---------------------------------------- For edge (15, 9,12 10, 20), & lets insert point (2, 12, 0.3, r) .. rubric:: On a right hand side driving network From first image above: - We can arrive to the point only via vertex 9. - It only affects the edge (15, 9,12, 10) so that edge is removed. - Edge (15, 12,9, 20) is kept. - Create new edges: - (15, 9,-1, 3) edge from vertex 9 to point 1 has cost 3 - (15, -1,12, 7) edge from point 1 to vertex 12 has cost 7 .. rubric:: On a left hand side driving network From second image above: - We can arrive to the point only via vertex 12. - It only affects the edge (15, 12,9 20) so that edge is removed. - Edge (15, 9,12, 10) is kept. - Create new edges: - (15, 12,-1, 14) edge from vertex 12 to point 1 has cost 14 - (15, -1,9, 6) edge from point 1 to vertex 9 has cost 6 :Remember: that fraction is from vertex 9 to vertex 12 .. rubric:: When driving side does not matter From third image above: - We can arrive to the point either via vertex 12 or via vertex 9 - Edge (15, 12,9 20) is removed. - Edge (15, 9,12, 10) is removed. - Create new edges: - (15, 12,-1, 14) edge from vertex 12 to point 1 has cost 14 - (15, -1,9, 6) edge from point 1 to vertex 9 has cost 6 - (15, 9,-1, 3) edge from vertex 9 to point 1 has cost 3 - (15, -1,12, 7) edge from point 1 to vertex 12 has cost 7 See Also ------------------------------------------------------------------------------- .. rubric:: Indices and tables * :ref:`genindex` * :ref:`search` pgrouting-3.3.0/docqueries/000077500000000000000000000000001414350551100156755ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/allpairs/000077500000000000000000000000001414350551100175045ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/allpairs/CMakeLists.txt000066400000000000000000000005541414350551100222500ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-floydWarshall doc-johnson ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/allpairs/doc-floydWarshall.result000066400000000000000000000013721414350551100243250ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_floydWarshall( 'SELECT id, source, target, cost FROM edge_table where id < 5' ); start_vid | end_vid | agg_cost -----------+---------+---------- 1 | 2 | 1 1 | 5 | 2 2 | 5 | 1 (3 rows) /* -- q2 */ SELECT * FROM pgr_floydWarshall( 'SELECT id, source, target, cost FROM edge_table where id < 5', false ); start_vid | end_vid | agg_cost -----------+---------+---------- 1 | 2 | 1 1 | 5 | 2 2 | 1 | 1 2 | 5 | 1 5 | 1 | 2 5 | 2 | 1 (6 rows) /* -- q3 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/allpairs/doc-floydWarshall.test.sql000066400000000000000000000003751414350551100245660ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_floydWarshall( 'SELECT id, source, target, cost FROM edge_table where id < 5' ); /* -- q2 */ SELECT * FROM pgr_floydWarshall( 'SELECT id, source, target, cost FROM edge_table where id < 5', false ); /* -- q3 */ pgrouting-3.3.0/docqueries/allpairs/doc-johnson.result000066400000000000000000000014201414350551100231620ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_johnson( 'SELECT source, target, cost FROM edge_table WHERE id < 5 ORDER BY id' ); start_vid | end_vid | agg_cost -----------+---------+---------- 1 | 2 | 1 1 | 5 | 2 2 | 5 | 1 (3 rows) /* -- q2 */ SELECT * FROM pgr_johnson( 'SELECT source, target, cost FROM edge_table WHERE id < 5 ORDER BY id', false ); start_vid | end_vid | agg_cost -----------+---------+---------- 1 | 2 | 1 1 | 5 | 2 2 | 1 | 1 2 | 5 | 1 5 | 1 | 2 5 | 2 | 1 (6 rows) /* -- q3 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/allpairs/doc-johnson.test.sql000066400000000000000000000004231414350551100234230ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_johnson( 'SELECT source, target, cost FROM edge_table WHERE id < 5 ORDER BY id' ); /* -- q2 */ SELECT * FROM pgr_johnson( 'SELECT source, target, cost FROM edge_table WHERE id < 5 ORDER BY id', false ); /* -- q3 */ pgrouting-3.3.0/docqueries/allpairs/test.conf000066400000000000000000000010561414350551100213340ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'All pairs tests.', 'data' => [''], 'tests' => [qw( doc-johnson doc-floydWarshall )], 'documentation' => [qw( doc-johnson doc-floydWarshall )] }, # I don't know what this are for or how to use them. # TODO ask Steve # 'vpg-vpgis' => {}, # for version specific tests # '8-1' => {}, # for pg 8.x and postgis 1.x # '9.2-2.1' => {}, # for pg 9.2 and postgis 2.1 ); 1; pgrouting-3.3.0/docqueries/alpha_shape/000077500000000000000000000000001414350551100201425ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/alpha_shape/CMakeLists.txt000066400000000000000000000005351414350551100227050ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_alphashape ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/alpha_shape/doc-pgr_alphashape.result000066400000000000000000000003451414350551100251250ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT ST_Area(pgr_alphaShape((SELECT ST_Collect(the_geom) FROM edge_table_vertices_pgr), 1.5)); st_area --------- 9.75 (1 row) /* -- q2 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/alpha_shape/doc-pgr_alphashape.test.sql000066400000000000000000000001711414350551100253610ustar00rootroot00000000000000/* -- q1 */ SELECT ST_Area(pgr_alphaShape((SELECT ST_Collect(the_geom) FROM edge_table_vertices_pgr), 1.5)); /* -- q2 */ pgrouting-3.3.0/docqueries/alpha_shape/test.conf000066400000000000000000000007211414350551100217700ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'AlphaShape documentation queries', 'data' => [], 'tests' => [qw( doc-pgr_alphashape )], 'documentation' => [qw( doc-pgr_alphashape )] }, # 'vpg-vpgis' => {}, # for version specific tests # '8-1' => {}, # for pg 8.x and postgis 1.x # '9.2-2.1' => {}, # for pg 9.2 and postgis 2.1 ); 1; pgrouting-3.3.0/docqueries/astar/000077500000000000000000000000001414350551100170075ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/astar/CMakeLists.txt000066400000000000000000000005761414350551100215570ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-aStarCostMatrix doc-aStarCost doc-astar ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/astar/doc-aStarCost.result000066400000000000000000000036341414350551100227230ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_aStarCost( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', 2, 12); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 12 | 4 (1 row) /* -- q2 */ SELECT * FROM pgr_aStarCost( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', 2, 12, directed := false, heuristic := 2); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 12 | 4 (1 row) /* -- q3 */ SELECT * FROM pgr_aStarCost( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', 2, ARRAY[3, 12], heuristic := 2); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 5 2 | 12 | 4 (2 rows) /* -- q4 */ SELECT * FROM pgr_aStarCost( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', ARRAY[7, 2], 12, heuristic := 0); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 12 | 4 7 | 12 | 5 (2 rows) /* -- q5 */ SELECT * FROM pgr_aStarCost( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', ARRAY[7, 2], ARRAY[3, 12], heuristic := 2); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 5 2 | 12 | 4 7 | 3 | 6 7 | 12 | 5 (4 rows) /* -- q6 */ SELECT * FROM pgr_aStarCost( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', 'SELECT * FROM ( VALUES (7, 3), (2, 12) ) AS t(source, target)', heuristic := 2); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 12 | 4 7 | 3 | 6 (2 rows) /* -- q7 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/astar/doc-aStarCost.test.sql000066400000000000000000000020251414350551100231530ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_aStarCost( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', 2, 12); /* -- q2 */ SELECT * FROM pgr_aStarCost( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', 2, 12, directed := false, heuristic := 2); /* -- q3 */ SELECT * FROM pgr_aStarCost( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', 2, ARRAY[3, 12], heuristic := 2); /* -- q4 */ SELECT * FROM pgr_aStarCost( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', ARRAY[7, 2], 12, heuristic := 0); /* -- q5 */ SELECT * FROM pgr_aStarCost( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', ARRAY[7, 2], ARRAY[3, 12], heuristic := 2); /* -- q6 */ SELECT * FROM pgr_aStarCost( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', 'SELECT * FROM ( VALUES (7, 3), (2, 12) ) AS t(source, target)', heuristic := 2); /* -- q7 */ pgrouting-3.3.0/docqueries/astar/doc-aStarCostMatrix.result000066400000000000000000000037441414350551100241120ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- astar q1 */ SELECT * FROM pgr_aStarCostMatrix( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5) ); start_vid | end_vid | agg_cost -----------+---------+---------- 1 | 2 | 1 1 | 3 | 6 1 | 4 | 5 2 | 1 | 1 2 | 3 | 5 2 | 4 | 4 3 | 1 | 2 3 | 2 | 1 3 | 4 | 3 4 | 1 | 3 4 | 2 | 2 4 | 3 | 1 (12 rows) /* -- astar q2 */ SELECT * FROM pgr_aStarCostMatrix( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5), directed := false, heuristic := 2 ); start_vid | end_vid | agg_cost -----------+---------+---------- 1 | 2 | 1 1 | 3 | 2 1 | 4 | 3 2 | 1 | 1 2 | 3 | 1 2 | 4 | 2 3 | 1 | 2 3 | 2 | 1 3 | 4 | 1 4 | 1 | 3 4 | 2 | 2 4 | 3 | 1 (12 rows) /* -- astar q3 */ SELECT * FROM pgr_TSP( $$ SELECT * FROM pgr_aStarCostMatrix( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5), directed:= false, heuristic := 2 ) $$, randomize := false ); seq | node | cost | agg_cost -----+------+------+---------- 1 | 1 | 1 | 0 2 | 2 | 1 | 1 3 | 3 | 1 | 2 4 | 4 | 3 | 3 5 | 1 | 0 | 6 (5 rows) /* -- astar q4 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/astar/doc-aStarCostMatrix.test.sql000066400000000000000000000015571414350551100243510ustar00rootroot00000000000000------------------------ -- pgr_aStar ------------------------ /* -- q astar q1 */ SELECT * FROM pgr_aStarCostMatrix( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5) ); /* -- q astar q2 */ SELECT * FROM pgr_aStarCostMatrix( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5), directed := false, heuristic := 2 ); /* -- q astar q3 */ SELECT * FROM pgr_TSP( $$ SELECT * FROM pgr_aStarCostMatrix( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5), directed:= false, heuristic := 2 ) $$, randomize := false ); /* -- q astar q4 */ pgrouting-3.3.0/docqueries/astar/doc-astar.result000066400000000000000000000140301414350551100221220ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_astar( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', 2, 12); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | 8 | 1 | 1 3 | 3 | 6 | 11 | 1 | 2 4 | 4 | 11 | 13 | 1 | 3 5 | 5 | 12 | -1 | 0 | 4 (5 rows) /* -- q2 */ SELECT * FROM pgr_astar( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', 2, 12, directed := false, heuristic := 2); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 2 | 1 | 0 2 | 2 | 3 | 3 | 1 | 1 3 | 3 | 4 | 16 | 1 | 2 4 | 4 | 9 | 15 | 1 | 3 5 | 5 | 12 | -1 | 0 | 4 (5 rows) /* -- q3 */ SELECT * FROM pgr_astar( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', 2, ARRAY[3, 12], heuristic := 2); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 4 | 1 | 0 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 3 | 9 | 16 | 1 | 3 5 | 5 | 3 | 4 | 3 | 1 | 4 6 | 6 | 3 | 3 | -1 | 0 | 5 7 | 1 | 12 | 2 | 4 | 1 | 0 8 | 2 | 12 | 5 | 10 | 1 | 1 9 | 3 | 12 | 10 | 12 | 1 | 2 10 | 4 | 12 | 11 | 13 | 1 | 3 11 | 5 | 12 | 12 | -1 | 0 | 4 (11 rows) /* -- q4 */ SELECT * FROM pgr_astar( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', ARRAY[7, 2], 12, heuristic := 0); seq | path_seq | start_vid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | 2 | 2 | 4 | 1 | 0 2 | 2 | 2 | 5 | 10 | 1 | 1 3 | 3 | 2 | 10 | 12 | 1 | 2 4 | 4 | 2 | 11 | 13 | 1 | 3 5 | 5 | 2 | 12 | -1 | 0 | 4 6 | 1 | 7 | 7 | 6 | 1 | 0 7 | 2 | 7 | 8 | 7 | 1 | 1 8 | 3 | 7 | 5 | 10 | 1 | 2 9 | 4 | 7 | 10 | 12 | 1 | 3 10 | 5 | 7 | 11 | 13 | 1 | 4 11 | 6 | 7 | 12 | -1 | 0 | 5 (11 rows) /* -- q5 */ SELECT * FROM pgr_astar( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', ARRAY[7, 2], ARRAY[3, 12], heuristic := 2); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 4 | 1 | 0 2 | 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 2 | 3 | 6 | 9 | 1 | 2 4 | 4 | 2 | 3 | 9 | 16 | 1 | 3 5 | 5 | 2 | 3 | 4 | 3 | 1 | 4 6 | 6 | 2 | 3 | 3 | -1 | 0 | 5 7 | 1 | 2 | 12 | 2 | 4 | 1 | 0 8 | 2 | 2 | 12 | 5 | 10 | 1 | 1 9 | 3 | 2 | 12 | 10 | 12 | 1 | 2 10 | 4 | 2 | 12 | 11 | 13 | 1 | 3 11 | 5 | 2 | 12 | 12 | -1 | 0 | 4 12 | 1 | 7 | 3 | 7 | 6 | 1 | 0 13 | 2 | 7 | 3 | 8 | 7 | 1 | 1 14 | 3 | 7 | 3 | 5 | 8 | 1 | 2 15 | 4 | 7 | 3 | 6 | 9 | 1 | 3 16 | 5 | 7 | 3 | 9 | 16 | 1 | 4 17 | 6 | 7 | 3 | 4 | 3 | 1 | 5 18 | 7 | 7 | 3 | 3 | -1 | 0 | 6 19 | 1 | 7 | 12 | 7 | 6 | 1 | 0 20 | 2 | 7 | 12 | 8 | 7 | 1 | 1 21 | 3 | 7 | 12 | 5 | 10 | 1 | 2 22 | 4 | 7 | 12 | 10 | 12 | 1 | 3 23 | 5 | 7 | 12 | 11 | 13 | 1 | 4 24 | 6 | 7 | 12 | 12 | -1 | 0 | 5 (24 rows) /* -- q6 */ SELECT * FROM pgr_astar( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', 'SELECT * FROM ( VALUES (7, 3), (2, 12) ) AS t(source, target)', heuristic := 2); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 12 | 2 | 4 | 1 | 0 2 | 2 | 2 | 12 | 5 | 10 | 1 | 1 3 | 3 | 2 | 12 | 10 | 12 | 1 | 2 4 | 4 | 2 | 12 | 11 | 13 | 1 | 3 5 | 5 | 2 | 12 | 12 | -1 | 0 | 4 6 | 1 | 7 | 3 | 7 | 6 | 1 | 0 7 | 2 | 7 | 3 | 8 | 7 | 1 | 1 8 | 3 | 7 | 3 | 5 | 8 | 1 | 2 9 | 4 | 7 | 3 | 6 | 9 | 1 | 3 10 | 5 | 7 | 3 | 9 | 16 | 1 | 4 11 | 6 | 7 | 3 | 4 | 3 | 1 | 5 12 | 7 | 7 | 3 | 3 | -1 | 0 | 6 (12 rows) /* -- q7 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/astar/doc-astar.test.sql000066400000000000000000000017751414350551100223750ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_astar( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', 2, 12); /* -- q2 */ SELECT * FROM pgr_astar( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', 2, 12, directed := false, heuristic := 2); /* -- q3 */ SELECT * FROM pgr_astar( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', 2, ARRAY[3, 12], heuristic := 2); /* -- q4 */ SELECT * FROM pgr_astar( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', ARRAY[7, 2], 12, heuristic := 0); /* -- q5 */ SELECT * FROM pgr_astar( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', ARRAY[7, 2], ARRAY[3, 12], heuristic := 2); /* -- q6 */ SELECT * FROM pgr_astar( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', 'SELECT * FROM ( VALUES (7, 3), (2, 12) ) AS t(source, target)', heuristic := 2); /* -- q7 */ pgrouting-3.3.0/docqueries/astar/test.conf000066400000000000000000000007451414350551100206430ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'astar test for any versions.', 'data' => [''], 'tests' => [qw( doc-astar doc-aStarCost )], 'documentation' => [qw( doc-astar doc-aStarCost )] }, # 'vpg-vpgis' => {}, # for version specific tests # '8-1' => {}, # for pg 8.x and postgis 1.x # '9.2-2.1' => {}, # for pg 9.2 and postgis 2.1 ); 1; pgrouting-3.3.0/docqueries/bdAstar/000077500000000000000000000000001414350551100172555ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/bdAstar/CMakeLists.txt000066400000000000000000000006201414350551100220130ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_bdAstarCostMatrix doc-pgr_bdAstarCost doc-pgr_bdAstar ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/bdAstar/doc-pgr_bdAstar.result000066400000000000000000000132431414350551100235130ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_bdAstar( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', 2, 3 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | 8 | 1 | 1 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 9 | 16 | 1 | 3 5 | 5 | 4 | 3 | 1 | 4 6 | 6 | 3 | -1 | 0 | 5 (6 rows) /* -- q2 */ SELECT * FROM pgr_bdAstar( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', 2, 3, true, heuristic := 2 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | 8 | 1 | 1 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 9 | 16 | 1 | 3 5 | 5 | 4 | 3 | 1 | 4 6 | 6 | 3 | -1 | 0 | 5 (6 rows) /* -- q3 */ SELECT * FROM pgr_bdAstar( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', 2, ARRAY[3, 11], heuristic := 3, factor := 3.5 ); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 4 | 1 | 0 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 3 | 9 | 16 | 1 | 3 5 | 5 | 3 | 4 | 3 | 1 | 4 6 | 6 | 3 | 3 | -1 | 0 | 5 7 | 1 | 11 | 2 | 4 | 1 | 0 8 | 2 | 11 | 5 | 8 | 1 | 1 9 | 3 | 11 | 6 | 11 | 1 | 2 10 | 4 | 11 | 11 | -1 | 0 | 3 (10 rows) /* -- q4 */ SELECT * FROM pgr_bdAstar( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', ARRAY[2, 7], 3, false, heuristic := 4 ); seq | path_seq | start_vid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | 2 | 2 | 2 | 1 | 0 2 | 2 | 2 | 3 | -1 | 0 | 1 3 | 1 | 7 | 7 | 6 | 1 | 0 4 | 2 | 7 | 8 | 7 | 1 | 1 5 | 3 | 7 | 5 | 8 | 1 | 2 6 | 4 | 7 | 6 | 5 | 1 | 3 7 | 5 | 7 | 3 | -1 | 0 | 4 (7 rows) /* -- q5 */ SELECT * FROM pgr_bdAstar( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', ARRAY[2, 7], ARRAY[3, 11], factor := 0.5 ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 4 | 1 | 0 2 | 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 2 | 3 | 6 | 9 | 1 | 2 4 | 4 | 2 | 3 | 9 | 16 | 1 | 3 5 | 5 | 2 | 3 | 4 | 3 | 1 | 4 6 | 6 | 2 | 3 | 3 | -1 | 0 | 5 7 | 1 | 2 | 11 | 2 | 4 | 1 | 0 8 | 2 | 2 | 11 | 5 | 8 | 1 | 1 9 | 3 | 2 | 11 | 6 | 11 | 1 | 2 10 | 4 | 2 | 11 | 11 | -1 | 0 | 3 11 | 1 | 7 | 3 | 7 | 6 | 1 | 0 12 | 2 | 7 | 3 | 8 | 7 | 1 | 1 13 | 3 | 7 | 3 | 5 | 8 | 1 | 2 14 | 4 | 7 | 3 | 6 | 9 | 1 | 3 15 | 5 | 7 | 3 | 9 | 16 | 1 | 4 16 | 6 | 7 | 3 | 4 | 3 | 1 | 5 17 | 7 | 7 | 3 | 3 | -1 | 0 | 6 18 | 1 | 7 | 11 | 7 | 6 | 1 | 0 19 | 2 | 7 | 11 | 8 | 7 | 1 | 1 20 | 3 | 7 | 11 | 5 | 8 | 1 | 2 21 | 4 | 7 | 11 | 6 | 11 | 1 | 3 22 | 5 | 7 | 11 | 11 | -1 | 0 | 4 (22 rows) /* -- q6 */ SELECT * FROM pgr_bdAstar( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', 'SELECT * FROM ( VALUES (2, 3), (7, 11) ) AS t(source, target)', factor := 0.5 ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 4 | 1 | 0 2 | 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 2 | 3 | 6 | 9 | 1 | 2 4 | 4 | 2 | 3 | 9 | 16 | 1 | 3 5 | 5 | 2 | 3 | 4 | 3 | 1 | 4 6 | 6 | 2 | 3 | 3 | -1 | 0 | 5 7 | 1 | 7 | 11 | 7 | 6 | 1 | 0 8 | 2 | 7 | 11 | 8 | 7 | 1 | 1 9 | 3 | 7 | 11 | 5 | 8 | 1 | 2 10 | 4 | 7 | 11 | 6 | 11 | 1 | 3 11 | 5 | 7 | 11 | 11 | -1 | 0 | 4 (11 rows) /* -- q7 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/bdAstar/doc-pgr_bdAstar.test.sql000066400000000000000000000020501414350551100237440ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_bdAstar( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', 2, 3 ); /* -- q2 */ SELECT * FROM pgr_bdAstar( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', 2, 3, true, heuristic := 2 ); /* -- q3 */ SELECT * FROM pgr_bdAstar( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', 2, ARRAY[3, 11], heuristic := 3, factor := 3.5 ); /* -- q4 */ SELECT * FROM pgr_bdAstar( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', ARRAY[2, 7], 3, false, heuristic := 4 ); /* -- q5 */ SELECT * FROM pgr_bdAstar( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', ARRAY[2, 7], ARRAY[3, 11], factor := 0.5 ); /* -- q6 */ SELECT * FROM pgr_bdAstar( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', 'SELECT * FROM ( VALUES (2, 3), (7, 11) ) AS t(source, target)', factor := 0.5 ); /* -- q7 */ pgrouting-3.3.0/docqueries/bdAstar/doc-pgr_bdAstarCost.result000066400000000000000000000037041414350551100243450ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_bdAstarCost( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', 2, 3 ); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 5 (1 row) /* -- q2 */ SELECT * FROM pgr_bdAstarCost( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', 2, 3, true, heuristic := 2 ); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 5 (1 row) /* -- q3 */ SELECT * FROM pgr_bdAstarCost( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', 2, ARRAY[3, 11], heuristic := 3, factor := 3.5 ); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 5 2 | 11 | 3 (2 rows) /* -- q4 */ SELECT * FROM pgr_bdAstarCost( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', ARRAY[2, 7], 3, false, heuristic := 4 ); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 1 7 | 3 | 4 (2 rows) /* -- q5 */ SELECT * FROM pgr_bdAstarCost( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', ARRAY[2, 7], ARRAY[3, 11], factor := 0.5 ); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 5 2 | 11 | 3 7 | 3 | 6 7 | 11 | 4 (4 rows) /* -- q6 */ SELECT * FROM pgr_bdAstarCost( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', 'SELECT * FROM ( VALUES (2, 3), (7, 11) ) AS t(source, target)', factor := 0.5 ); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 5 7 | 11 | 4 (2 rows) /* -- q7 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/bdAstar/doc-pgr_bdAstarCost.test.sql000066400000000000000000000020771414350551100246060ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_bdAstarCost( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', 2, 3 ); /* -- q2 */ SELECT * FROM pgr_bdAstarCost( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', 2, 3, true, heuristic := 2 ); /* -- q3 */ SELECT * FROM pgr_bdAstarCost( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', 2, ARRAY[3, 11], heuristic := 3, factor := 3.5 ); /* -- q4 */ SELECT * FROM pgr_bdAstarCost( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', ARRAY[2, 7], 3, false, heuristic := 4 ); /* -- q5 */ SELECT * FROM pgr_bdAstarCost( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', ARRAY[2, 7], ARRAY[3, 11], factor := 0.5 ); /* -- q6 */ SELECT * FROM pgr_bdAstarCost( 'SELECT id, source, target, cost, reverse_cost, x1,y1,x2,y2 FROM edge_table', 'SELECT * FROM ( VALUES (2, 3), (7, 11) ) AS t(source, target)', factor := 0.5 ); /* -- q7 */ pgrouting-3.3.0/docqueries/bdAstar/doc-pgr_bdAstarCostMatrix.result000066400000000000000000000037431414350551100255350ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SET client_min_messages TO WARNING; SET /* -- bdAstar q1 */ SELECT * FROM pgr_bdAstarCostMatrix( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5) ); start_vid | end_vid | agg_cost -----------+---------+---------- 1 | 2 | 1 1 | 3 | 6 1 | 4 | 5 2 | 1 | 1 2 | 3 | 5 2 | 4 | 4 3 | 1 | 2 3 | 2 | 1 3 | 4 | 3 4 | 1 | 3 4 | 2 | 2 4 | 3 | 1 (12 rows) /* -- bdAstar q2 */ SELECT * FROM pgr_bdAstarCostMatrix( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5), false ); start_vid | end_vid | agg_cost -----------+---------+---------- 1 | 2 | 1 1 | 3 | 2 1 | 4 | 3 2 | 1 | 1 2 | 3 | 1 2 | 4 | 2 3 | 1 | 2 3 | 2 | 1 3 | 4 | 1 4 | 1 | 3 4 | 2 | 2 4 | 3 | 1 (12 rows) /* -- bdAstar q3 */ SELECT * FROM pgr_TSP( $$ SELECT * FROM pgr_bdAstarCostMatrix( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5), false ) $$, randomize := false ); seq | node | cost | agg_cost -----+------+------+---------- 1 | 1 | 0 | 0 2 | 2 | 1 | 1 3 | 3 | 1 | 2 4 | 4 | 1 | 3 5 | 1 | 3 | 6 (5 rows) /* -- bdAstar q4 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/bdAstar/doc-pgr_bdAstarCostMatrix.test.sql000066400000000000000000000015521414350551100257700ustar00rootroot00000000000000SET client_min_messages TO WARNING; ------------------------ -- bdAstarCostMatrix ------------------------ /* -- bdAstar q1 */ SELECT * FROM pgr_bdAstarCostMatrix( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5) ); /* -- bdAstar q2 */ SELECT * FROM pgr_bdAstarCostMatrix( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5), false ); /* -- bdAstar q3 */ SELECT * FROM pgr_TSP( $$ SELECT * FROM pgr_bdAstarCostMatrix( 'SELECT id, source, target, cost, reverse_cost, x1, y1, x2, y2 FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5), false ) $$, randomize := false ); /* -- bdAstar q4 */ pgrouting-3.3.0/docqueries/bdAstar/test.conf000066400000000000000000000006471414350551100211120ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'pgr_pdAstar (new signature)', 'data' => [], 'tests' => [qw( doc-pgr_bdAstar doc-pgr_bdAstarCost doc-pgr_bdAstarCostMatrix )], 'documentation' => [qw( doc-pgr_bdAstar doc-pgr_bdAstarCost doc-pgr_bdAstarCostMatrix )] }, ); 1; pgrouting-3.3.0/docqueries/bdDijkstra/000077500000000000000000000000001414350551100177565ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/bdDijkstra/CMakeLists.txt000066400000000000000000000006311414350551100225160ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_bdDijkstraCostMatrix doc-pgr_bdDijkstraCost doc-pgr_bdDijkstra ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/bdDijkstra/bdDijkstra-large.result000066400000000000000000000305041414350551100243710ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /*PGR-GNU***************************************************************** Copyright (c) 2016 pgRouting developers Mail: project@pgrouting.org ------ This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ********************************************************************PGR-GNU*/ /* --q1 */ SELECT seq, node, edge, round(cost::numeric, 6) FROM pgr_bdDijkstra('SELECT * FROM bdd_ways', 5700, 6733, true); seq | node | edge | round -----+-------+-------+---------- 1 | 5700 | 20787 | 0.006774 2 | 10932 | 20756 | 0.040876 3 | 10931 | 20797 | 0.002564 4 | 7661 | 20796 | 0.002581 5 | 10943 | 20776 | 0.040800 6 | 10941 | 20772 | 0.005720 7 | 3415 | 20771 | 0.007463 8 | 10940 | 20841 | 0.187594 9 | 10952 | 20812 | 0.005045 10 | 7034 | 20811 | 0.004532 11 | 10951 | 20833 | 0.177477 12 | 10944 | 20779 | 0.008539 13 | 8910 | 20778 | 0.006447 14 | 10929 | 20835 | 0.071114 15 | 10948 | 20794 | 0.013276 16 | 8908 | 12990 | 0.013157 17 | 8325 | 13831 | 0.009169 18 | 3753 | 13830 | 0.196045 19 | 6774 | 13829 | 0.032840 20 | 8304 | 13828 | 0.117213 21 | 9205 | 13827 | 0.010639 22 | 8994 | 13165 | 0.012931 23 | 8977 | 13164 | 0.008029 24 | 8976 | 13163 | 0.069895 25 | 8993 | 13162 | 0.009638 26 | 8351 | 13161 | 0.099016 27 | 8992 | 13160 | 0.187353 28 | 8991 | 13159 | 0.018649 29 | 2962 | 13158 | 0.071931 30 | 1285 | 13157 | 0.118340 31 | 8989 | 13156 | 0.006317 32 | 8988 | 13155 | 0.079185 33 | 21 | 13154 | 0.057101 34 | 6436 | 13153 | 0.083288 35 | 637 | 13152 | 0.099744 36 | 8987 | 13151 | 0.057786 37 | 398 | 13150 | 0.120005 38 | 8496 | 13149 | 0.069498 39 | 8986 | 13148 | 0.014323 40 | 8985 | 13167 | 0.070884 41 | 8451 | 11869 | 0.006925 42 | 476 | 11868 | 0.196533 43 | 529 | 11867 | 0.005677 44 | 8450 | 11871 | 0.118857 45 | 8452 | 11878 | 0.083250 46 | 8455 | 11880 | 0.048821 47 | 8456 | 11883 | 0.064572 48 | 1807 | 11882 | 0.101185 49 | 8457 | 11894 | 0.046805 50 | 8465 | 15481 | 0.180992 51 | 8522 | 15480 | 0.016198 52 | 9621 | 15479 | 0.209882 53 | 2808 | 15478 | 0.019312 54 | 8311 | 15477 | 0.113487 55 | 8583 | 16981 | 0.045667 56 | 10046 | 16982 | 0.022635 57 | 8467 | 16983 | 0.022924 58 | 9624 | 15487 | 0.034042 59 | 8468 | 11899 | 0.018103 60 | 3170 | 19357 | 0.047698 61 | 9949 | 19358 | 0.059093 62 | 10479 | 19359 | 0.051651 63 | 9948 | 19360 | 0.051709 64 | 8509 | 19374 | 0.106794 65 | 9595 | 19375 | 0.102428 66 | 8634 | 19376 | 0.107643 67 | 10174 | 19377 | 0.096140 68 | 10482 | 19378 | 0.009782 69 | 9194 | 19379 | 0.102702 70 | 4397 | 19380 | 0.108243 71 | 3002 | 19381 | 0.098919 72 | 10484 | 19382 | 0.006171 73 | 5962 | 19383 | 0.005429 74 | 10485 | 19384 | 0.047276 75 | 10459 | 19385 | 0.052864 76 | 7579 | 19386 | 0.052378 77 | 10455 | 19387 | 0.052414 78 | 5805 | 19388 | 0.081956 79 | 10462 | 19389 | 0.016974 80 | 8768 | 12598 | 0.059630 81 | 8767 | 19290 | 0.117748 82 | 10470 | 19289 | 0.065769 83 | 10469 | 19288 | 0.066230 84 | 10468 | 19287 | 0.111281 85 | 9967 | 16642 | 0.029056 86 | 9956 | 16621 | 0.014614 87 | 9938 | 16626 | 0.007036 88 | 9960 | 16649 | 0.081206 89 | 9968 | 16650 | 0.012230 90 | 9969 | 16647 | 0.012368 91 | 5457 | 6266 | 0.055134 92 | 5458 | 6267 | 0.053860 93 | 5459 | 6268 | 0.109859 94 | 5460 | 6269 | 0.104952 95 | 5461 | 6270 | 0.053766 96 | 5462 | 6271 | 0.046800 97 | 5463 | 12897 | 0.170300 98 | 8880 | 15060 | 0.049014 99 | 7101 | 15059 | 0.047811 100 | 9313 | 15058 | 0.044674 101 | 6733 | -1 | 0.000000 (101 rows) /* --q2 */ SELECT seq, node, edge, round(cost::numeric, 6) FROM pgr_bdDijkstra('SELECT * FROM bdd_ways', 6585, 8247, true); seq | node | edge | round -----+-------+-------+---------- 1 | 6585 | 17975 | 0.200230 2 | 5367 | 17976 | 0.155428 3 | 7125 | 17977 | 0.178581 4 | 613 | 17978 | 0.175712 5 | 10025 | 17979 | 0.173776 6 | 5802 | 6758 | 0.013489 7 | 5803 | 6759 | 0.065176 8 | 5804 | 6760 | 0.008679 9 | 5805 | 6761 | 0.145097 10 | 5806 | 6762 | 0.146807 11 | 5807 | 6763 | 0.097186 12 | 5808 | 6764 | 0.050569 13 | 5809 | 20663 | 0.169650 14 | 4620 | 20662 | 0.023243 15 | 5774 | 20661 | 0.120390 16 | 6482 | 20660 | 0.002769 17 | 5957 | 20659 | 0.087952 18 | 8289 | 20658 | 0.048701 19 | 10884 | 20657 | 0.009212 20 | 10883 | 20656 | 0.080500 21 | 9954 | 20655 | 0.075280 22 | 4390 | 16876 | 0.147691 23 | 9203 | 17805 | 0.063931 24 | 7892 | 17804 | 0.015429 25 | 8417 | 17803 | 0.069119 26 | 10171 | 17802 | 0.075825 27 | 9953 | 17801 | 0.045079 28 | 8859 | 17800 | 0.029389 29 | 8536 | 17799 | 0.072658 30 | 10180 | 17798 | 0.076558 31 | 9592 | 17797 | 0.027637 32 | 9318 | 17796 | 0.114755 33 | 10179 | 17795 | 0.007150 34 | 10178 | 17794 | 0.087467 35 | 8402 | 17793 | 0.062258 36 | 6179 | 17792 | 0.109483 37 | 8508 | 17791 | 0.036248 38 | 3305 | 17790 | 0.069816 39 | 8512 | 17789 | 0.064158 40 | 998 | 17807 | 0.471312 41 | 2698 | 2743 | 0.102019 42 | 2563 | 9039 | 0.341756 43 | 2043 | 9040 | 0.587619 44 | 4280 | 9041 | 0.145996 45 | 2317 | 9042 | 0.268754 46 | 7135 | 9043 | 0.121251 47 | 4276 | 9044 | 0.145396 48 | 6167 | 9045 | 0.583394 49 | 7136 | 9046 | 0.043099 50 | 7137 | 19345 | 0.053510 51 | 10475 | 19344 | 0.015153 52 | 10142 | 19343 | 0.064475 53 | 10140 | 17566 | 0.135370 54 | 8539 | 17565 | 0.057338 55 | 10138 | 17558 | 0.064893 56 | 6943 | 17559 | 0.201703 57 | 8140 | 17560 | 0.469613 58 | 10139 | 20189 | 0.060217 59 | 10705 | 20185 | 0.055053 60 | 8247 | -1 | 0.000000 (60 rows) /* --q3 */ SELECT seq, node, edge, round(cost::numeric, 6) FROM pgr_bdDijkstra('SELECT * FROM bdd_ways', 9426, 3606, true); seq | node | edge | round -----+------+-------+---------- 1 | 9426 | 14822 | 0.060319 2 | 3606 | -1 | 0.000000 (2 rows) /* --q4 */ SELECT seq, node, edge, round(cost::numeric, 6) FROM pgr_bdDijkstra('SELECT * FROM bdd_ways', 3606, 9426, true); seq | node | edge | round -----+------+-------+---------- 1 | 3606 | 14822 | 0.060319 2 | 9426 | -1 | 0.000000 (2 rows) /* --q5 */ SELECT seq, node, edge, round(cost::numeric, 6) FROM pgr_bdDijkstra('SELECT * FROM bdd_ways', 6733, 5700, true); seq | node | edge | round -----+-------+-------+---------- 1 | 6733 | 15058 | 0.044674 2 | 9313 | 15059 | 0.047811 3 | 7101 | 15060 | 0.049014 4 | 8880 | 12897 | 0.170300 5 | 5463 | 6271 | 0.046800 6 | 5462 | 6270 | 0.053766 7 | 5461 | 6269 | 0.104952 8 | 5460 | 6268 | 0.109859 9 | 5459 | 6267 | 0.053860 10 | 5458 | 6266 | 0.055134 11 | 5457 | 16647 | 0.012368 12 | 9969 | 16650 | 0.012230 13 | 9968 | 16649 | 0.081206 14 | 9960 | 16626 | 0.007036 15 | 9938 | 16621 | 0.014614 16 | 9956 | 16642 | 0.029056 17 | 9967 | 19287 | 0.111281 18 | 10468 | 19288 | 0.066230 19 | 10469 | 19289 | 0.065769 20 | 10470 | 19290 | 0.117748 21 | 8767 | 12598 | 0.059630 22 | 8768 | 19389 | 0.016974 23 | 10462 | 19388 | 0.081956 24 | 5805 | 19387 | 0.052414 25 | 10455 | 19386 | 0.052378 26 | 7579 | 19385 | 0.052864 27 | 10459 | 19384 | 0.047276 28 | 10485 | 19383 | 0.005429 29 | 5962 | 19382 | 0.006171 30 | 10484 | 19381 | 0.098919 31 | 3002 | 19380 | 0.108243 32 | 4397 | 19379 | 0.102702 33 | 9194 | 19378 | 0.009782 34 | 10482 | 19377 | 0.096140 35 | 10174 | 19376 | 0.107643 36 | 8634 | 19375 | 0.102428 37 | 9595 | 19374 | 0.106794 38 | 8509 | 19360 | 0.051709 39 | 9948 | 19359 | 0.051651 40 | 10479 | 19358 | 0.059093 41 | 9949 | 19357 | 0.047698 42 | 3170 | 11899 | 0.018103 43 | 8468 | 15487 | 0.034042 44 | 9624 | 16983 | 0.022924 45 | 8467 | 16982 | 0.022635 46 | 10046 | 16981 | 0.045667 47 | 8583 | 15477 | 0.113487 48 | 8311 | 15478 | 0.019312 49 | 2808 | 15479 | 0.209882 50 | 9621 | 15480 | 0.016198 51 | 8522 | 15481 | 0.180992 52 | 8465 | 11894 | 0.046805 53 | 8457 | 11882 | 0.101185 54 | 1807 | 11883 | 0.064572 55 | 8456 | 11880 | 0.048821 56 | 8455 | 11878 | 0.083250 57 | 8452 | 11871 | 0.118857 58 | 8450 | 11867 | 0.005677 59 | 529 | 11868 | 0.196533 60 | 476 | 11869 | 0.006925 61 | 8451 | 13167 | 0.070884 62 | 8985 | 13148 | 0.014323 63 | 8986 | 13149 | 0.069498 64 | 8496 | 13150 | 0.120005 65 | 398 | 13151 | 0.057786 66 | 8987 | 13152 | 0.099744 67 | 637 | 13153 | 0.083288 68 | 6436 | 13154 | 0.057101 69 | 21 | 13155 | 0.079185 70 | 8988 | 13156 | 0.006317 71 | 8989 | 13157 | 0.118340 72 | 1285 | 13158 | 0.071931 73 | 2962 | 13159 | 0.018649 74 | 8991 | 13160 | 0.187353 75 | 8992 | 13161 | 0.099016 76 | 8351 | 13162 | 0.009638 77 | 8993 | 13163 | 0.069895 78 | 8976 | 13164 | 0.008029 79 | 8977 | 13165 | 0.012931 80 | 8994 | 13827 | 0.010639 81 | 9205 | 13828 | 0.117213 82 | 8304 | 13829 | 0.032840 83 | 6774 | 13830 | 0.196045 84 | 3753 | 13831 | 0.009169 85 | 8325 | 12990 | 0.013157 86 | 8908 | 20794 | 0.013276 87 | 10948 | 20835 | 0.071114 88 | 10929 | 20778 | 0.006447 89 | 8910 | 20779 | 0.008539 90 | 10944 | 20833 | 0.177477 91 | 10951 | 20811 | 0.004532 92 | 7034 | 20812 | 0.005045 93 | 10952 | 20841 | 0.187594 94 | 10940 | 20771 | 0.007463 95 | 3415 | 20772 | 0.005720 96 | 10941 | 20776 | 0.040800 97 | 10943 | 20796 | 0.002581 98 | 7661 | 20797 | 0.002564 99 | 10931 | 20756 | 0.040876 100 | 10932 | 20787 | 0.006774 101 | 5700 | -1 | 0.000000 (101 rows) /* --q6 */ SELECT seq, node, edge, round(cost::numeric, 6) FROM pgr_bdDijkstra('SELECT * FROM bdd_ways', 8247, 6585, true); seq | node | edge | round -----+-------+-------+---------- 1 | 8247 | 20185 | 0.055053 2 | 10705 | 20189 | 0.060217 3 | 10139 | 17560 | 0.469613 4 | 8140 | 17559 | 0.201703 5 | 6943 | 17558 | 0.064893 6 | 10138 | 17565 | 0.057338 7 | 8539 | 17566 | 0.135370 8 | 10140 | 19343 | 0.064475 9 | 10142 | 19344 | 0.015153 10 | 10475 | 19345 | 0.053510 11 | 7137 | 9046 | 0.043099 12 | 7136 | 9045 | 0.583394 13 | 6167 | 9044 | 0.145396 14 | 4276 | 9043 | 0.121251 15 | 7135 | 9042 | 0.268754 16 | 2317 | 9041 | 0.145996 17 | 4280 | 9040 | 0.587619 18 | 2043 | 9039 | 0.341756 19 | 2563 | 2743 | 0.102019 20 | 2698 | 17807 | 0.471312 21 | 998 | 17789 | 0.064158 22 | 8512 | 17790 | 0.069816 23 | 3305 | 17791 | 0.036248 24 | 8508 | 17792 | 0.109483 25 | 6179 | 17793 | 0.062258 26 | 8402 | 17794 | 0.087467 27 | 10178 | 17795 | 0.007150 28 | 10179 | 17796 | 0.114755 29 | 9318 | 17797 | 0.027637 30 | 9592 | 17798 | 0.076558 31 | 10180 | 17799 | 0.072658 32 | 8536 | 17800 | 0.029389 33 | 8859 | 17801 | 0.045079 34 | 9953 | 17802 | 0.075825 35 | 10171 | 17803 | 0.069119 36 | 8417 | 17804 | 0.015429 37 | 7892 | 17805 | 0.063931 38 | 9203 | 16876 | 0.147691 39 | 4390 | 20655 | 0.075280 40 | 9954 | 20656 | 0.080500 41 | 10883 | 20657 | 0.009212 42 | 10884 | 20658 | 0.048701 43 | 8289 | 20659 | 0.087952 44 | 5957 | 20660 | 0.002769 45 | 6482 | 20661 | 0.120390 46 | 5774 | 20662 | 0.023243 47 | 4620 | 20663 | 0.169650 48 | 5809 | 6764 | 0.050569 49 | 5808 | 6763 | 0.097186 50 | 5807 | 6762 | 0.146807 51 | 5806 | 6761 | 0.145097 52 | 5805 | 6760 | 0.008679 53 | 5804 | 6759 | 0.065176 54 | 5803 | 6758 | 0.013489 55 | 5802 | 17979 | 0.173776 56 | 10025 | 17978 | 0.175712 57 | 613 | 17977 | 0.178581 58 | 7125 | 17976 | 0.155428 59 | 5367 | 17975 | 0.200230 60 | 6585 | -1 | 0.000000 (60 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/bdDijkstra/bdDijkstra-large.test.sql000066400000000000000000000032201414350551100246230ustar00rootroot00000000000000/*PGR-GNU***************************************************************** Copyright (c) 2016 pgRouting developers Mail: project@pgrouting.org ------ This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ********************************************************************PGR-GNU*/ /* --q1 */ SELECT seq, node, edge, round(cost::numeric, 6) FROM pgr_bdDijkstra('SELECT * FROM bdd_ways', 5700, 6733, true); /* --q2 */ SELECT seq, node, edge, round(cost::numeric, 6) FROM pgr_bdDijkstra('SELECT * FROM bdd_ways', 6585, 8247, true); /* --q3 */ SELECT seq, node, edge, round(cost::numeric, 6) FROM pgr_bdDijkstra('SELECT * FROM bdd_ways', 9426, 3606, true); /* --q4 */ SELECT seq, node, edge, round(cost::numeric, 6) FROM pgr_bdDijkstra('SELECT * FROM bdd_ways', 3606, 9426, true); /* --q5 */ SELECT seq, node, edge, round(cost::numeric, 6) FROM pgr_bdDijkstra('SELECT * FROM bdd_ways', 6733, 5700, true); /* --q6 */ SELECT seq, node, edge, round(cost::numeric, 6) FROM pgr_bdDijkstra('SELECT * FROM bdd_ways', 8247, 6585, true); pgrouting-3.3.0/docqueries/bdDijkstra/doc-pgr_bdDijkstra.result000066400000000000000000000132011414350551100247070ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_bdDijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | 8 | 1 | 1 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 9 | 16 | 1 | 3 5 | 5 | 4 | 3 | 1 | 4 6 | 6 | 3 | -1 | 0 | 5 (6 rows) /* -- q2 */ SELECT * FROM pgr_bdDijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, false ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 2 | 1 | 0 2 | 2 | 3 | -1 | 0 | 1 (2 rows) /* -- q3 */ SELECT * FROM pgr_bdDijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3, 11]); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 4 | 1 | 0 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 3 | 9 | 16 | 1 | 3 5 | 5 | 3 | 4 | 3 | 1 | 4 6 | 6 | 3 | 3 | -1 | 0 | 5 7 | 1 | 11 | 2 | 4 | 1 | 0 8 | 2 | 11 | 5 | 8 | 1 | 1 9 | 3 | 11 | 6 | 11 | 1 | 2 10 | 4 | 11 | 11 | -1 | 0 | 3 (10 rows) /* -- q4 */ SELECT * FROM pgr_bdDijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2, 7], 3); seq | path_seq | start_vid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | 2 | 2 | 4 | 1 | 0 2 | 2 | 2 | 5 | 8 | 1 | 1 3 | 3 | 2 | 6 | 9 | 1 | 2 4 | 4 | 2 | 9 | 16 | 1 | 3 5 | 5 | 2 | 4 | 3 | 1 | 4 6 | 6 | 2 | 3 | -1 | 0 | 5 7 | 1 | 7 | 7 | 6 | 1 | 0 8 | 2 | 7 | 8 | 7 | 1 | 1 9 | 3 | 7 | 5 | 8 | 1 | 2 10 | 4 | 7 | 6 | 9 | 1 | 3 11 | 5 | 7 | 9 | 16 | 1 | 4 12 | 6 | 7 | 4 | 3 | 1 | 5 13 | 7 | 7 | 3 | -1 | 0 | 6 (13 rows) /* -- q5 */ SELECT * FROM pgr_bdDijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2, 7], ARRAY[3, 11]); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 4 | 1 | 0 2 | 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 2 | 3 | 6 | 9 | 1 | 2 4 | 4 | 2 | 3 | 9 | 16 | 1 | 3 5 | 5 | 2 | 3 | 4 | 3 | 1 | 4 6 | 6 | 2 | 3 | 3 | -1 | 0 | 5 7 | 1 | 2 | 11 | 2 | 4 | 1 | 0 8 | 2 | 2 | 11 | 5 | 8 | 1 | 1 9 | 3 | 2 | 11 | 6 | 11 | 1 | 2 10 | 4 | 2 | 11 | 11 | -1 | 0 | 3 11 | 1 | 7 | 3 | 7 | 6 | 1 | 0 12 | 2 | 7 | 3 | 8 | 7 | 1 | 1 13 | 3 | 7 | 3 | 5 | 8 | 1 | 2 14 | 4 | 7 | 3 | 6 | 9 | 1 | 3 15 | 5 | 7 | 3 | 9 | 16 | 1 | 4 16 | 6 | 7 | 3 | 4 | 3 | 1 | 5 17 | 7 | 7 | 3 | 3 | -1 | 0 | 6 18 | 1 | 7 | 11 | 7 | 6 | 1 | 0 19 | 2 | 7 | 11 | 8 | 7 | 1 | 1 20 | 3 | 7 | 11 | 5 | 10 | 1 | 2 21 | 4 | 7 | 11 | 10 | 12 | 1 | 3 22 | 5 | 7 | 11 | 11 | -1 | 0 | 4 (22 rows) /* -- q6 */ SELECT * FROM pgr_bdDijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM ( VALUES (2, 3), (7, 11) ) AS t(source, target)'); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 4 | 1 | 0 2 | 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 2 | 3 | 6 | 9 | 1 | 2 4 | 4 | 2 | 3 | 9 | 16 | 1 | 3 5 | 5 | 2 | 3 | 4 | 3 | 1 | 4 6 | 6 | 2 | 3 | 3 | -1 | 0 | 5 7 | 1 | 7 | 11 | 7 | 6 | 1 | 0 8 | 2 | 7 | 11 | 8 | 7 | 1 | 1 9 | 3 | 7 | 11 | 5 | 10 | 1 | 2 10 | 4 | 7 | 11 | 10 | 12 | 1 | 3 11 | 5 | 7 | 11 | 11 | -1 | 0 | 4 (11 rows) /* -- q7 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/bdDijkstra/doc-pgr_bdDijkstra.test.sql000066400000000000000000000015341414350551100251540ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_bdDijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3 ); /* -- q2 */ SELECT * FROM pgr_bdDijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, false ); /* -- q3 */ SELECT * FROM pgr_bdDijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3, 11]); /* -- q4 */ SELECT * FROM pgr_bdDijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2, 7], 3); /* -- q5 */ SELECT * FROM pgr_bdDijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2, 7], ARRAY[3, 11]); /* -- q6 */ SELECT * FROM pgr_bdDijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM ( VALUES (2, 3), (7, 11) ) AS t(source, target)'); /* -- q7 */ pgrouting-3.3.0/docqueries/bdDijkstra/doc-pgr_bdDijkstraCost.result000066400000000000000000000033711414350551100255470ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_bdDijkstraCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3 ); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 5 (1 row) /* -- q2 */ SELECT * FROM pgr_bdDijkstraCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, false ); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 1 (1 row) /* -- q3 */ SELECT * FROM pgr_bdDijkstraCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3, 11]); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 5 2 | 11 | 3 (2 rows) /* -- q4 */ SELECT * FROM pgr_bdDijkstraCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2, 7], 3); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 5 7 | 3 | 6 (2 rows) /* -- q5 */ SELECT * FROM pgr_bdDijkstraCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2, 7], ARRAY[3, 11]); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 5 2 | 11 | 3 7 | 3 | 6 7 | 11 | 4 (4 rows) /* -- q6 */ SELECT * FROM pgr_bdDijkstraCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM ( VALUES (2, 3), (7, 11) ) AS t(source, target)'); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 5 7 | 11 | 4 (2 rows) /* -- q7 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/bdDijkstra/doc-pgr_bdDijkstraCost.test.sql000066400000000000000000000015641414350551100260100ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_bdDijkstraCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3 ); /* -- q2 */ SELECT * FROM pgr_bdDijkstraCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, false ); /* -- q3 */ SELECT * FROM pgr_bdDijkstraCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3, 11]); /* -- q4 */ SELECT * FROM pgr_bdDijkstraCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2, 7], 3); /* -- q5 */ SELECT * FROM pgr_bdDijkstraCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2, 7], ARRAY[3, 11]); /* -- q6 */ SELECT * FROM pgr_bdDijkstraCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM ( VALUES (2, 3), (7, 11) ) AS t(source, target)'); /* -- q7 */ pgrouting-3.3.0/docqueries/bdDijkstra/doc-pgr_bdDijkstraCostMatrix.result000066400000000000000000000037101414350551100267310ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SET client_min_messages TO WARNING; SET /* -- bdDijkstra q1 */ SELECT * FROM pgr_bdDijkstraCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5) ); start_vid | end_vid | agg_cost -----------+---------+---------- 1 | 2 | 1 1 | 3 | 6 1 | 4 | 5 2 | 1 | 1 2 | 3 | 5 2 | 4 | 4 3 | 1 | 2 3 | 2 | 1 3 | 4 | 3 4 | 1 | 3 4 | 2 | 2 4 | 3 | 1 (12 rows) /* -- bdDijkstra q2 */ SELECT * FROM pgr_bdDijkstraCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5), false ); start_vid | end_vid | agg_cost -----------+---------+---------- 1 | 2 | 1 1 | 3 | 2 1 | 4 | 3 2 | 1 | 1 2 | 3 | 1 2 | 4 | 2 3 | 1 | 2 3 | 2 | 1 3 | 4 | 1 4 | 1 | 3 4 | 2 | 2 4 | 3 | 1 (12 rows) /* -- bdDijkstra q3 */ SELECT * FROM pgr_TSP( $$ SELECT * FROM pgr_bdDijkstraCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5), false ) $$, randomize := false ); seq | node | cost | agg_cost -----+------+------+---------- 1 | 1 | 0 | 0 2 | 2 | 1 | 1 3 | 3 | 1 | 2 4 | 4 | 1 | 3 5 | 1 | 3 | 6 (5 rows) /* -- bdDijkstra q4 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/bdDijkstra/doc-pgr_bdDijkstraCostMatrix.test.sql000066400000000000000000000015221414350551100271670ustar00rootroot00000000000000SET client_min_messages TO WARNING; ------------------------ -- bddijkstraCostMatrix ------------------------ /* -- bdDijkstra q1 */ SELECT * FROM pgr_bdDijkstraCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5) ); /* -- bdDijkstra q2 */ SELECT * FROM pgr_bdDijkstraCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5), false ); /* -- bdDijkstra q3 */ SELECT * FROM pgr_TSP( $$ SELECT * FROM pgr_bdDijkstraCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5), false ) $$, randomize := false ); /* -- bdDijkstra q4 */ pgrouting-3.3.0/docqueries/bdDijkstra/large.data000066400000000000000000033420301414350551100217100ustar00rootroot00000000000000 drop table if exists bdd_ways cascade; create table bdd_ways ( id integer not null primary key, source integer, target integer, cost float8, reverse_cost float8 ); copy bdd_ways (id, source, target, cost, reverse_cost) from stdin; 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0.0952703264542464 0.0952703264542464 1932 1945 1946 0.0974265293580338 0.0974265293580338 1933 1947 1948 0.151605873109213 0.151605873109213 1938 1952 1953 0.109258836266427 0.109258836266427 1939 1953 1954 0.122481399421688 0.122481399421688 1940 1954 1955 0.119684093740802 0.119684093740802 1943 1957 1958 0.204446635842756 0.204446635842756 1944 1958 1959 0.0997279110592744 0.0997279110592744 1945 1959 1960 1.05168738215655 1.05168738215655 1946 1960 1961 1.71048983577162 1.71048983577162 1947 1962 1963 2.33567129984142 2.33567129984142 1948 1963 1964 1.08148581800227 1.08148581800227 1950 1965 1966 0.103934061554546 0.103934061554546 1951 1966 1967 0.0454999873171455 0.0454999873171455 1952 1967 1968 0.0964089929828049 0.0964089929828049 1953 1968 1969 0.125489170754965 0.125489170754965 1954 1969 1972 0.165851140560008 0.165851140560008 1955 1972 1973 0.145299005046435 0.145299005046435 1956 1973 1974 0.145772913358701 0.145772913358701 1957 1974 1975 0.149974913959851 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0.0148135271633134 20127 8701 8159 0.0903601598115808 0.0903601598115808 20128 8159 8147 0.0485272097981868 0.0485272097981868 20129 8147 7605 0.046972846594418 0.046972846594418 20130 7605 7256 0.0980906813073136 0.0980906813073136 20131 7256 7592 0.0949493294075893 0.0949493294075893 20132 7592 2011 0.0535765472330524 0.0535765472330524 20133 2011 9174 0.0440404642371946 0.0440404642371946 20134 9174 10644 0.101018897202585 0.101018897202585 20135 10644 2752 0.0964161425505398 0.0964161425505398 12318 2500 2501 0.00534847597168918 0.00534847597168918 20137 6988 7015 0.0469900401605619 0.0469900401605619 20138 7015 2275 0.0506564830109395 0.0506564830109395 20139 2275 8216 0.0480971521401402 0.0480971521401402 20140 8216 3600 0.0492447661071067 0.0492447661071067 20141 3600 8213 0.0494471155350359 0.0494471155350359 20142 8213 7515 0.0477024371424333 0.0477024371424333 20143 7515 7526 0.0508405166895622 0.0508405166895622 20144 7526 4566 0.0460266764289813 0.0460266764289813 20145 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0.0337236702585465 20250 9384 8111 0.200921327710714 0.200921327710714 20251 8111 10328 0.204798818746646 0.204798818746646 \. pgrouting-3.3.0/docqueries/bdDijkstra/test.conf000066400000000000000000000007651414350551100216140ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'pgr_pdDijkstra (new signature) old large test', 'data' => ["large.data" ], 'tests' => [qw( bdDijkstra-large doc-pgr_bdDijkstra doc-pgr_bdDijkstraCost doc-pgr_bdDijkstraCostMatrix )], 'documentation' => [qw( doc-pgr_bdDijkstra doc-pgr_bdDijkstraCost doc-pgr_bdDijkstraCostMatrix )] }, ); 1; pgrouting-3.3.0/docqueries/bellman_ford/000077500000000000000000000000001414350551100203215ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/bellman_ford/CMakeLists.txt000066400000000000000000000005661414350551100230700ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_bellmanFord doc-pgr_edwardMoore ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/bellman_ford/doc-pgr_bellmanFord.result000066400000000000000000000112641414350551100254250ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_bellmanFord( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | 8 | 1 | 1 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 9 | 16 | 1 | 3 5 | 5 | 4 | 3 | 1 | 4 6 | 6 | 3 | -1 | 0 | 5 (6 rows) /* -- q2 */ SELECT * FROM pgr_bellmanFord( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 2 | 1 | 0 2 | 2 | 3 | -1 | 0 | 1 (2 rows) /* -- q3 */ SELECT * FROM pgr_bellmanFord( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3,5], FALSE ); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 2 | 1 | 0 2 | 2 | 3 | 3 | -1 | 0 | 1 3 | 1 | 5 | 2 | 4 | 1 | 0 4 | 2 | 5 | 5 | -1 | 0 | 1 (4 rows) /* -- q4 */ SELECT * FROM pgr_bellmanFord( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], 5 ); seq | path_seq | start_vid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | 2 | 2 | 4 | 1 | 0 2 | 2 | 2 | 5 | -1 | 0 | 1 3 | 1 | 11 | 11 | 13 | 1 | 0 4 | 2 | 11 | 12 | 15 | 1 | 1 5 | 3 | 11 | 9 | 9 | 1 | 2 6 | 4 | 11 | 6 | 8 | 1 | 3 7 | 5 | 11 | 5 | -1 | 0 | 4 (7 rows) /* -- q5 */ SELECT * FROM pgr_bellmanFord( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], ARRAY[3,5] ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 4 | 1 | 0 2 | 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 2 | 3 | 6 | 9 | 1 | 2 4 | 4 | 2 | 3 | 9 | 16 | 1 | 3 5 | 5 | 2 | 3 | 4 | 3 | 1 | 4 6 | 6 | 2 | 3 | 3 | -1 | 0 | 5 7 | 1 | 2 | 5 | 2 | 4 | 1 | 0 8 | 2 | 2 | 5 | 5 | -1 | 0 | 1 9 | 1 | 11 | 3 | 11 | 13 | 1 | 0 10 | 2 | 11 | 3 | 12 | 15 | 1 | 1 11 | 3 | 11 | 3 | 9 | 16 | 1 | 2 12 | 4 | 11 | 3 | 4 | 3 | 1 | 3 13 | 5 | 11 | 3 | 3 | -1 | 0 | 4 14 | 1 | 11 | 5 | 11 | 13 | 1 | 0 15 | 2 | 11 | 5 | 12 | 15 | 1 | 1 16 | 3 | 11 | 5 | 9 | 9 | 1 | 2 17 | 4 | 11 | 5 | 6 | 8 | 1 | 3 18 | 5 | 11 | 5 | 5 | -1 | 0 | 4 (18 rows) /* -- q6 */ SELECT * FROM pgr_bellmanFord( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM ( VALUES (2, 3), (11, 5) ) AS t(source, target)' ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 4 | 1 | 0 2 | 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 2 | 3 | 6 | 9 | 1 | 2 4 | 4 | 2 | 3 | 9 | 16 | 1 | 3 5 | 5 | 2 | 3 | 4 | 3 | 1 | 4 6 | 6 | 2 | 3 | 3 | -1 | 0 | 5 7 | 1 | 11 | 5 | 11 | 13 | 1 | 0 8 | 2 | 11 | 5 | 12 | 15 | 1 | 1 9 | 3 | 11 | 5 | 9 | 9 | 1 | 2 10 | 4 | 11 | 5 | 6 | 8 | 1 | 3 11 | 5 | 11 | 5 | 5 | -1 | 0 | 4 (11 rows) /* -- q7 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/bellman_ford/doc-pgr_bellmanFord.test.sql000066400000000000000000000015551414350551100256660ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_bellmanFord( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3 ); /* -- q2 */ SELECT * FROM pgr_bellmanFord( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, FALSE ); /* -- q3 */ SELECT * FROM pgr_bellmanFord( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3,5], FALSE ); /* -- q4 */ SELECT * FROM pgr_bellmanFord( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], 5 ); /* -- q5 */ SELECT * FROM pgr_bellmanFord( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], ARRAY[3,5] ); /* -- q6 */ SELECT * FROM pgr_bellmanFord( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM ( VALUES (2, 3), (11, 5) ) AS t(source, target)' ); /* -- q7 */ pgrouting-3.3.0/docqueries/bellman_ford/doc-pgr_edwardMoore.result000066400000000000000000000427621414350551100254570ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | 8 | 1 | 1 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 9 | 16 | 1 | 3 5 | 5 | 4 | 3 | 1 | 4 6 | 6 | 3 | -1 | 0 | 5 (6 rows) /* -- q2 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 2 | 1 | 0 2 | 2 | 3 | -1 | 0 | 1 (2 rows) /* -- q3 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 2, ARRAY[3,5], FALSE ); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 4 | 1 | 0 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 3 | 6 | 5 | 1 | 2 4 | 4 | 3 | 3 | -1 | 0 | 3 5 | 1 | 5 | 2 | 4 | 1 | 0 6 | 2 | 5 | 5 | -1 | 0 | 1 (6 rows) /* -- q4 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], 5 ); seq | path_seq | start_vid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | 2 | 2 | 4 | 1 | 0 2 | 2 | 2 | 5 | -1 | 0 | 1 3 | 1 | 11 | 11 | 13 | 1 | 0 4 | 2 | 11 | 12 | 15 | 1 | 1 5 | 3 | 11 | 9 | 9 | 1 | 2 6 | 4 | 11 | 6 | 8 | 1 | 3 7 | 5 | 11 | 5 | -1 | 0 | 4 (7 rows) /* -- q5 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], ARRAY[3,5], FALSE ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 2 | 1 | 0 2 | 2 | 2 | 3 | 3 | -1 | 0 | 1 3 | 1 | 2 | 5 | 2 | 4 | 1 | 0 4 | 2 | 2 | 5 | 5 | -1 | 0 | 1 5 | 1 | 11 | 3 | 11 | 11 | 1 | 0 6 | 2 | 11 | 3 | 6 | 5 | 1 | 1 7 | 3 | 11 | 3 | 3 | -1 | 0 | 2 8 | 1 | 11 | 5 | 11 | 11 | 1 | 0 9 | 2 | 11 | 5 | 6 | 8 | 1 | 1 10 | 3 | 11 | 5 | 5 | -1 | 0 | 2 (10 rows) /* -- q6 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM ( VALUES (2, 3), (11, 5) ) AS t(source, target)', FALSE ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 2 | 1 | 0 2 | 2 | 2 | 3 | 3 | -1 | 0 | 1 3 | 1 | 11 | 5 | 11 | 11 | 1 | 0 4 | 2 | 11 | 5 | 6 | 8 | 1 | 1 5 | 3 | 11 | 5 | 5 | -1 | 0 | 2 (5 rows) /* -- q7 */ /* -- q8 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | 8 | 1 | 1 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 9 | 16 | 1 | 3 5 | 5 | 4 | 3 | 1 | 4 6 | 6 | 3 | -1 | 0 | 5 (6 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 5 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3,5] ); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 4 | 1 | 0 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 3 | 9 | 16 | 1 | 3 5 | 5 | 3 | 4 | 3 | 1 | 4 6 | 6 | 3 | 3 | -1 | 0 | 5 7 | 1 | 5 | 2 | 4 | 1 | 0 8 | 2 | 5 | 5 | -1 | 0 | 1 (8 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 11, 3 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 11 | 13 | 1 | 0 2 | 2 | 12 | 15 | 1 | 1 3 | 3 | 9 | 16 | 1 | 2 4 | 4 | 4 | 3 | 1 | 3 5 | 5 | 3 | -1 | 0 | 4 (5 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 11, 5 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 11 | 13 | 1 | 0 2 | 2 | 12 | 15 | 1 | 1 3 | 3 | 9 | 9 | 1 | 2 4 | 4 | 6 | 8 | 1 | 3 5 | 5 | 5 | -1 | 0 | 4 (5 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], 5 ); seq | path_seq | start_vid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | 2 | 2 | 4 | 1 | 0 2 | 2 | 2 | 5 | -1 | 0 | 1 3 | 1 | 11 | 11 | 13 | 1 | 0 4 | 2 | 11 | 12 | 15 | 1 | 1 5 | 3 | 11 | 9 | 9 | 1 | 2 6 | 4 | 11 | 6 | 8 | 1 | 3 7 | 5 | 11 | 5 | -1 | 0 | 4 (7 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2, 11], ARRAY[3,5] ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 4 | 1 | 0 2 | 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 2 | 3 | 6 | 9 | 1 | 2 4 | 4 | 2 | 3 | 9 | 16 | 1 | 3 5 | 5 | 2 | 3 | 4 | 3 | 1 | 4 6 | 6 | 2 | 3 | 3 | -1 | 0 | 5 7 | 1 | 2 | 5 | 2 | 4 | 1 | 0 8 | 2 | 2 | 5 | 5 | -1 | 0 | 1 9 | 1 | 11 | 3 | 11 | 13 | 1 | 0 10 | 2 | 11 | 3 | 12 | 15 | 1 | 1 11 | 3 | 11 | 3 | 9 | 16 | 1 | 2 12 | 4 | 11 | 3 | 4 | 3 | 1 | 3 13 | 5 | 11 | 3 | 3 | -1 | 0 | 4 14 | 1 | 11 | 5 | 11 | 13 | 1 | 0 15 | 2 | 11 | 5 | 12 | 15 | 1 | 1 16 | 3 | 11 | 5 | 9 | 9 | 1 | 2 17 | 4 | 11 | 5 | 6 | 8 | 1 | 3 18 | 5 | 11 | 5 | 5 | -1 | 0 | 4 (18 rows) /* -- q9 */ /* -- q10 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 2 | 1 | 0 2 | 2 | 3 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 5, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 11, 3, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 11 | 11 | 1 | 0 2 | 2 | 6 | 5 | 1 | 1 3 | 3 | 3 | -1 | 0 | 2 (3 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 11, 5, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 11 | 11 | 1 | 0 2 | 2 | 6 | 8 | 1 | 1 3 | 3 | 5 | -1 | 0 | 2 (3 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], 5, FALSE ); seq | path_seq | start_vid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | 2 | 2 | 4 | 1 | 0 2 | 2 | 2 | 5 | -1 | 0 | 1 3 | 1 | 11 | 11 | 11 | 1 | 0 4 | 2 | 11 | 6 | 8 | 1 | 1 5 | 3 | 11 | 5 | -1 | 0 | 2 (5 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3,5], FALSE ); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 2 | 1 | 0 2 | 2 | 3 | 3 | -1 | 0 | 1 3 | 1 | 5 | 2 | 4 | 1 | 0 4 | 2 | 5 | 5 | -1 | 0 | 1 (4 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2, 11], ARRAY[3,5], FALSE ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 2 | 1 | 0 2 | 2 | 2 | 3 | 3 | -1 | 0 | 1 3 | 1 | 2 | 5 | 2 | 4 | 1 | 0 4 | 2 | 2 | 5 | 5 | -1 | 0 | 1 5 | 1 | 11 | 3 | 11 | 11 | 1 | 0 6 | 2 | 11 | 3 | 6 | 5 | 1 | 1 7 | 3 | 11 | 3 | 3 | -1 | 0 | 2 8 | 1 | 11 | 5 | 11 | 11 | 1 | 0 9 | 2 | 11 | 5 | 6 | 8 | 1 | 1 10 | 3 | 11 | 5 | 5 | -1 | 0 | 2 (10 rows) /* -- q11 */ /* -- q12 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 2, 3 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- (0 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 2, 5 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 11, 3 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- (0 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 11, 5 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- (0 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', ARRAY[2,11], 5 ); seq | path_seq | start_vid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | 2 | 2 | 4 | 1 | 0 2 | 2 | 2 | 5 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 2, ARRAY[3,5] ); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 5 | 2 | 4 | 1 | 0 2 | 2 | 5 | 5 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', ARRAY[2, 11], ARRAY[3,5] ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 5 | 2 | 4 | 1 | 0 2 | 2 | 2 | 5 | 5 | -1 | 0 | 1 (2 rows) /* -- q13 */ /* -- q14 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 2, 3, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | 8 | 1 | 1 3 | 3 | 6 | 5 | 1 | 2 4 | 4 | 3 | -1 | 0 | 3 (4 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 2, 5, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 11, 3, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 11 | 11 | 1 | 0 2 | 2 | 6 | 5 | 1 | 1 3 | 3 | 3 | -1 | 0 | 2 (3 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 11, 5, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 11 | 11 | 1 | 0 2 | 2 | 6 | 8 | 1 | 1 3 | 3 | 5 | -1 | 0 | 2 (3 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', ARRAY[2,11], 5, FALSE ); seq | path_seq | start_vid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | 2 | 2 | 4 | 1 | 0 2 | 2 | 2 | 5 | -1 | 0 | 1 3 | 1 | 11 | 11 | 11 | 1 | 0 4 | 2 | 11 | 6 | 8 | 1 | 1 5 | 3 | 11 | 5 | -1 | 0 | 2 (5 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 2, ARRAY[3,5], FALSE ); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 4 | 1 | 0 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 3 | 6 | 5 | 1 | 2 4 | 4 | 3 | 3 | -1 | 0 | 3 5 | 1 | 5 | 2 | 4 | 1 | 0 6 | 2 | 5 | 5 | -1 | 0 | 1 (6 rows) SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', ARRAY[2, 11], ARRAY[3,5], FALSE ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 4 | 1 | 0 2 | 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 2 | 3 | 6 | 5 | 1 | 2 4 | 4 | 2 | 3 | 3 | -1 | 0 | 3 5 | 1 | 2 | 5 | 2 | 4 | 1 | 0 6 | 2 | 2 | 5 | 5 | -1 | 0 | 1 7 | 1 | 11 | 3 | 11 | 11 | 1 | 0 8 | 2 | 11 | 3 | 6 | 5 | 1 | 1 9 | 3 | 11 | 3 | 3 | -1 | 0 | 2 10 | 1 | 11 | 5 | 11 | 11 | 1 | 0 11 | 2 | 11 | 5 | 6 | 8 | 1 | 1 12 | 3 | 11 | 5 | 5 | -1 | 0 | 2 (12 rows) /* -- q15 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/bellman_ford/doc-pgr_edwardMoore.test.sql000066400000000000000000000112241414350551100257030ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3 ); /* -- q2 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, FALSE ); /* -- q3 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 2, ARRAY[3,5], FALSE ); /* -- q4 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], 5 ); /* -- q5 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], ARRAY[3,5], FALSE ); /* -- q6 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM ( VALUES (2, 3), (11, 5) ) AS t(source, target)', FALSE ); /* -- q7 */ -- Examples for :ref:`fig1-direct-Cost-Reverse` ------------------------------------------------------------------------------- /* -- q8 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3 ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 5 ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3,5] ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 11, 3 ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 11, 5 ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], 5 ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2, 11], ARRAY[3,5] ); /* -- q9 */ -- Examples for :ref:`fig2-undirect-Cost-Reverse` ------------------------------------------------------------------------------- /* -- q10 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, FALSE ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 5, FALSE ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 11, 3, FALSE ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 11, 5, FALSE ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], 5, FALSE ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3,5], FALSE ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2, 11], ARRAY[3,5], FALSE ); /* -- q11 */ -- Examples for :ref:`fig3-direct-Cost` ------------------------------------------------------------------------------- /* -- q12 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 2, 3 ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 2, 5 ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 11, 3 ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 11, 5 ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', ARRAY[2,11], 5 ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 2, ARRAY[3,5] ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', ARRAY[2, 11], ARRAY[3,5] ); /* -- q13 */ -- Examples for :ref:`fig4-undirect-Cost` ------------------------------------------------------------------------------- /* -- q14 */ SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 2, 3, FALSE ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 2, 5, FALSE ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 11, 3, FALSE ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 11, 5, FALSE ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', ARRAY[2,11], 5, FALSE ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', 2, ARRAY[3,5], FALSE ); SELECT * FROM pgr_edwardMoore( 'SELECT id, source, target, cost FROM edge_table', ARRAY[2, 11], ARRAY[3,5], FALSE ); /* -- q15 */ pgrouting-3.3.0/docqueries/bellman_ford/test.conf000066400000000000000000000005511414350551100221500ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'Dijkstra test for any versions.', 'data' => [ ], 'tests' => [qw( doc-pgr_bellmanFord doc-pgr_edwardMoore )], 'documentation' => [qw( doc-pgr_bellmanFord doc-pgr_edwardMoore )] }, ); 1; pgrouting-3.3.0/docqueries/breadthFirstSearch/000077500000000000000000000000001414350551100214445ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/breadthFirstSearch/CMakeLists.txt000066400000000000000000000006121414350551100242030ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_breadthFirstSearch doc-pgr_binaryBreadthFirstSearch ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/breadthFirstSearch/doc-pgr_binaryBreadthFirstSearch.result000066400000000000000000000122461414350551100312400ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* --data-start */ DROP TABLE IF EXISTS roadworks CASCADE; NOTICE: table "roadworks" does not exist, skipping DROP TABLE CREATE table roadworks ( id BIGINT not null primary key, source BIGINT, target BIGINT, road_work FLOAT, reverse_road_work FLOAT ); CREATE TABLE INSERT INTO roadworks( id, source, target, road_work, reverse_road_work) VALUES (1, 1, 2, 0, 0), (2, 2, 3, -1, 1), (3, 3, 4, -1, 0), (4, 2, 5, 0, 0), (5, 3, 6, 1, -1), (6, 7, 8, 1, 1), (7, 8, 5, 0, 0), (8, 5, 6, 1, 1), (9, 6, 9, 1, 1), (10, 5, 10, 1, 1), (11, 6, 11, 1, -1), (12, 10, 11, 0, -1), (13, 11, 12, 1, -1), (14, 10, 13, 1, 1), (15, 9, 12, 0, 0), (16, 4, 9, 0, 0), (17, 14, 15, 0, 0), (18, 16, 17, 0, 0); INSERT 0 18 /* --data-end */ /* -- q1 */ SELECT * FROM pgr_binaryBreadthFirstSearch( 'SELECT id, source, target, road_work as cost, reverse_road_work as reverse_cost FROM roadworks', 2, 3 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 0 | 0 2 | 2 | 5 | 8 | 1 | 0 3 | 3 | 6 | 9 | 1 | 1 4 | 4 | 9 | 16 | 0 | 2 5 | 5 | 4 | 3 | 0 | 2 6 | 6 | 3 | -1 | 0 | 2 (6 rows) /* -- q2 */ SELECT * FROM pgr_binaryBreadthFirstSearch( 'SELECT id, source, target, road_work as cost, reverse_road_work as reverse_cost FROM roadworks', 2, 3, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 2 | 1 | 0 2 | 2 | 3 | -1 | 0 | 1 (2 rows) /* -- q3 */ SELECT * FROM pgr_binaryBreadthFirstSearch( 'SELECT id, source, target, road_work as cost FROM roadworks', 2, ARRAY[3,5], FALSE ); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 4 | 0 | 0 2 | 2 | 3 | 5 | 8 | 1 | 0 3 | 3 | 3 | 6 | 5 | 1 | 1 4 | 4 | 3 | 3 | -1 | 0 | 2 5 | 1 | 5 | 2 | 4 | 0 | 0 6 | 2 | 5 | 5 | -1 | 0 | 0 (6 rows) /* -- q4 */ SELECT * FROM pgr_binaryBreadthFirstSearch( 'SELECT id, source, target, road_work as cost, reverse_road_work as reverse_cost FROM roadworks', ARRAY[2,11], 5 ); seq | path_seq | start_vid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | 2 | 2 | 4 | 0 | 0 2 | 2 | 2 | 5 | -1 | 0 | 0 3 | 1 | 11 | 11 | 13 | 1 | 0 4 | 2 | 11 | 12 | 15 | 0 | 1 5 | 3 | 11 | 9 | 16 | 0 | 1 6 | 4 | 11 | 4 | 3 | 0 | 1 7 | 5 | 11 | 3 | 2 | 1 | 1 8 | 6 | 11 | 2 | 4 | 0 | 2 9 | 7 | 11 | 5 | -1 | 0 | 2 (9 rows) /* -- q5 */ SELECT * FROM pgr_binaryBreadthFirstSearch( 'SELECT id, source, target, road_work as cost, reverse_road_work as reverse_cost FROM roadworks', ARRAY[2,11], ARRAY[3,5], FALSE ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 2 | 1 | 0 2 | 2 | 2 | 3 | 3 | -1 | 0 | 1 3 | 1 | 2 | 5 | 2 | 4 | 0 | 0 4 | 2 | 2 | 5 | 5 | -1 | 0 | 0 5 | 1 | 11 | 3 | 11 | 13 | 1 | 0 6 | 2 | 11 | 3 | 12 | 15 | 0 | 1 7 | 3 | 11 | 3 | 9 | 16 | 0 | 1 8 | 4 | 11 | 3 | 4 | 3 | 0 | 1 9 | 5 | 11 | 3 | 3 | -1 | 0 | 1 10 | 1 | 11 | 5 | 11 | 12 | 0 | 0 11 | 2 | 11 | 5 | 10 | 10 | 1 | 0 12 | 3 | 11 | 5 | 5 | -1 | 0 | 1 (12 rows) /* -- q6 */ SELECT * FROM pgr_binaryBreadthFirstSearch( 'SELECT id, source, target, road_work as cost, reverse_road_work as reverse_cost FROM roadworks', 'SELECT * FROM ( VALUES (2, 3), (11, 5) ) AS t(source, target)', FALSE ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 2 | 1 | 0 2 | 2 | 2 | 3 | 3 | -1 | 0 | 1 3 | 1 | 11 | 5 | 11 | 12 | 0 | 0 4 | 2 | 11 | 5 | 10 | 10 | 1 | 0 5 | 3 | 11 | 5 | 5 | -1 | 0 | 1 (5 rows) /* -- q7 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/breadthFirstSearch/doc-pgr_binaryBreadthFirstSearch.test.sql000066400000000000000000000035471414350551100315030ustar00rootroot00000000000000/* --data-start */ DROP TABLE IF EXISTS roadworks CASCADE; CREATE table roadworks ( id BIGINT not null primary key, source BIGINT, target BIGINT, road_work FLOAT, reverse_road_work FLOAT ); INSERT INTO roadworks( id, source, target, road_work, reverse_road_work) VALUES (1, 1, 2, 0, 0), (2, 2, 3, -1, 1), (3, 3, 4, -1, 0), (4, 2, 5, 0, 0), (5, 3, 6, 1, -1), (6, 7, 8, 1, 1), (7, 8, 5, 0, 0), (8, 5, 6, 1, 1), (9, 6, 9, 1, 1), (10, 5, 10, 1, 1), (11, 6, 11, 1, -1), (12, 10, 11, 0, -1), (13, 11, 12, 1, -1), (14, 10, 13, 1, 1), (15, 9, 12, 0, 0), (16, 4, 9, 0, 0), (17, 14, 15, 0, 0), (18, 16, 17, 0, 0); /* --data-end */ /* -- q1 */ SELECT * FROM pgr_binaryBreadthFirstSearch( 'SELECT id, source, target, road_work as cost, reverse_road_work as reverse_cost FROM roadworks', 2, 3 ); /* -- q2 */ SELECT * FROM pgr_binaryBreadthFirstSearch( 'SELECT id, source, target, road_work as cost, reverse_road_work as reverse_cost FROM roadworks', 2, 3, FALSE ); /* -- q3 */ SELECT * FROM pgr_binaryBreadthFirstSearch( 'SELECT id, source, target, road_work as cost FROM roadworks', 2, ARRAY[3,5], FALSE ); /* -- q4 */ SELECT * FROM pgr_binaryBreadthFirstSearch( 'SELECT id, source, target, road_work as cost, reverse_road_work as reverse_cost FROM roadworks', ARRAY[2,11], 5 ); /* -- q5 */ SELECT * FROM pgr_binaryBreadthFirstSearch( 'SELECT id, source, target, road_work as cost, reverse_road_work as reverse_cost FROM roadworks', ARRAY[2,11], ARRAY[3,5], FALSE ); /* -- q6 */ SELECT * FROM pgr_binaryBreadthFirstSearch( 'SELECT id, source, target, road_work as cost, reverse_road_work as reverse_cost FROM roadworks', 'SELECT * FROM ( VALUES (2, 3), (11, 5) ) AS t(source, target)', FALSE ); /* -- q7 */pgrouting-3.3.0/docqueries/breadthFirstSearch/doc-pgr_breadthFirstSearch.result000066400000000000000000000061211414350551100300660ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* --q1 */ SELECT * FROM pgr_breadthFirstSearch( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 1 | 1 | 1 | 1 3 | 1 | 2 | 5 | 4 | 1 | 1 4 | 2 | 2 | 8 | 7 | 1 | 2 5 | 2 | 2 | 6 | 8 | 1 | 2 6 | 2 | 2 | 10 | 10 | 1 | 2 7 | 3 | 2 | 7 | 6 | 1 | 3 8 | 3 | 2 | 9 | 9 | 1 | 3 9 | 3 | 2 | 11 | 11 | 1 | 3 10 | 3 | 2 | 13 | 14 | 1 | 3 11 | 4 | 2 | 12 | 15 | 1 | 4 12 | 4 | 2 | 4 | 16 | 1 | 4 13 | 5 | 2 | 3 | 3 | 1 | 5 (13 rows) /* --q2 */ SELECT * FROM pgr_breadthFirstSearch( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[11,12], max_depth := 2 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 11 | 11 | -1 | 0 | 0 2 | 1 | 11 | 12 | 13 | 1 | 1 3 | 2 | 11 | 9 | 15 | 1 | 2 4 | 0 | 12 | 12 | -1 | 0 | 0 5 | 1 | 12 | 9 | 15 | 1 | 1 6 | 2 | 12 | 6 | 9 | 1 | 2 7 | 2 | 12 | 4 | 16 | 1 | 2 (7 rows) /* --q3 */ SELECT * FROM pgr_breadthFirstSearch( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[11,12], max_depth := 2, directed := false ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 11 | 11 | -1 | 0 | 0 2 | 1 | 11 | 6 | 11 | 1 | 1 3 | 1 | 11 | 10 | 12 | 1 | 1 4 | 1 | 11 | 12 | 13 | 1 | 1 5 | 2 | 11 | 3 | 5 | 1 | 2 6 | 2 | 11 | 5 | 8 | 1 | 2 7 | 2 | 11 | 9 | 9 | 1 | 2 8 | 2 | 11 | 13 | 14 | 1 | 2 9 | 0 | 12 | 12 | -1 | 0 | 0 10 | 1 | 12 | 11 | 13 | 1 | 1 11 | 1 | 12 | 9 | 15 | 1 | 1 12 | 2 | 12 | 6 | 11 | 1 | 2 13 | 2 | 12 | 10 | 12 | 1 | 2 14 | 2 | 12 | 4 | 16 | 1 | 2 (14 rows) /* --q4 */ SELECT * FROM pgr_breadthFirstSearch( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', -10 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- (0 rows) /* --q5 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/breadthFirstSearch/doc-pgr_breadthFirstSearch.test.sql000066400000000000000000000012021414350551100303200ustar00rootroot00000000000000/* --q1 */ SELECT * FROM pgr_breadthFirstSearch( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2 ); /* --q2 */ SELECT * FROM pgr_breadthFirstSearch( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[11,12], max_depth := 2 ); /* --q3 */ SELECT * FROM pgr_breadthFirstSearch( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[11,12], max_depth := 2, directed := false ); /* --q4 */ SELECT * FROM pgr_breadthFirstSearch( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', -10 ); /* --q5 */ pgrouting-3.3.0/docqueries/breadthFirstSearch/test.conf000066400000000000000000000006271414350551100232770ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'Breadth First Search algorithm tests.', 'data' => [ ], 'tests' => [qw( doc-pgr_breadthFirstSearch doc-pgr_binaryBreadthFirstSearch )], 'documentation' => [qw( doc-pgr_breadthFirstSearch doc-pgr_binaryBreadthFirstSearch )] }, ); 1; pgrouting-3.3.0/docqueries/chinese/000077500000000000000000000000001414350551100173135ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/chinese/CMakeLists.txt000066400000000000000000000006001414350551100220470ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_chinesePostmanCost doc-pgr_chinesePostman ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/chinese/doc-pgr_chinesePostman.result000066400000000000000000000042241414350551100251500ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_chinesePostman( 'SELECT id, source, target, cost, reverse_cost FROM edge_table where id < 17' ); seq | node | edge | cost | agg_cost -----+------+------+------+---------- 1 | 1 | 1 | 1 | 0 2 | 2 | 4 | 1 | 1 3 | 5 | 4 | 1 | 2 4 | 2 | 4 | 1 | 3 5 | 5 | 7 | 1 | 4 6 | 8 | 6 | 1 | 5 7 | 7 | 6 | 1 | 6 8 | 8 | 7 | 1 | 7 9 | 5 | 8 | 1 | 8 10 | 6 | 8 | 1 | 9 11 | 5 | 10 | 1 | 10 12 | 10 | 10 | 1 | 11 13 | 5 | 10 | 1 | 12 14 | 10 | 14 | 1 | 13 15 | 13 | 14 | 1 | 14 16 | 10 | 12 | 1 | 15 17 | 11 | 13 | 1 | 16 18 | 12 | 15 | 1 | 17 19 | 9 | 9 | 1 | 18 20 | 6 | 9 | 1 | 19 21 | 9 | 15 | 1 | 20 22 | 12 | 15 | 1 | 21 23 | 9 | 16 | 1 | 22 24 | 4 | 3 | 1 | 23 25 | 3 | 5 | 1 | 24 26 | 6 | 11 | 1 | 25 27 | 11 | 13 | 1 | 26 28 | 12 | 15 | 1 | 27 29 | 9 | 16 | 1 | 28 30 | 4 | 16 | 1 | 29 31 | 9 | 16 | 1 | 30 32 | 4 | 3 | 1 | 31 33 | 3 | 2 | 1 | 32 34 | 2 | 1 | 1 | 33 35 | 1 | -1 | 0 | 34 (35 rows) /* -- q2 */ SELECT * FROM pgr_chinesePostman( 'SELECT id, source, target, cost, reverse_cost FROM edge_table where id = 9 or id = 11 or id = 13 or id = 15' ); seq | node | edge | cost | agg_cost -----+------+------+------+---------- 1 | 6 | 9 | 1 | 0 2 | 9 | 9 | 1 | 1 3 | 6 | 11 | 1 | 2 4 | 11 | 13 | 1 | 3 5 | 12 | 15 | 1 | 4 6 | 9 | 15 | 1 | 5 7 | 12 | 15 | 1 | 6 8 | 9 | 9 | 1 | 7 9 | 6 | -1 | 0 | 8 (9 rows) /* -- q3 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/chinese/doc-pgr_chinesePostman.test.sql000066400000000000000000000005111414350551100254020ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_chinesePostman( 'SELECT id, source, target, cost, reverse_cost FROM edge_table where id < 17' ); /* -- q2 */ SELECT * FROM pgr_chinesePostman( 'SELECT id, source, target, cost, reverse_cost FROM edge_table where id = 9 or id = 11 or id = 13 or id = 15' ); /* -- q3 */ pgrouting-3.3.0/docqueries/chinese/doc-pgr_chinesePostmanCost.result000066400000000000000000000010711414350551100257760ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_chinesePostmanCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table where id < 17' ); pgr_chinesepostmancost ------------------------ 34 (1 row) /* -- q2 */ SELECT * FROM pgr_chinesePostmanCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table where id = 9 or id = 11 or id = 13 or id = 15' ); pgr_chinesepostmancost ------------------------ 8 (1 row) /* -- q3 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/chinese/doc-pgr_chinesePostmanCost.test.sql000066400000000000000000000005211414350551100262340ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_chinesePostmanCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table where id < 17' ); /* -- q2 */ SELECT * FROM pgr_chinesePostmanCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table where id = 9 or id = 11 or id = 13 or id = 15' ); /* -- q3 */ pgrouting-3.3.0/docqueries/chinese/test.conf000066400000000000000000000006251414350551100211440ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'Directed Chinese Postman Problem test for any versions.', 'data' => [ ], 'tests' => [qw( doc-pgr_chinesePostman doc-pgr_chinesePostmanCost )], 'documentation' => [qw( doc-pgr_chinesePostman doc-pgr_chinesePostmanCost )] }, ); 1; pgrouting-3.3.0/docqueries/coloring/000077500000000000000000000000001414350551100175115ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/coloring/CMakeLists.txt000066400000000000000000000006221414350551100222510ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_sequentialVertexColoring doc-bipartite doc-edgeColoring ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/coloring/doc-bipartite.result000066400000000000000000000015701414350551100235020ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* --q1 */ SELECT * FROM pgr_bipartite( $$SELECT id,source,target,cost,reverse_cost FROM edge_table$$ ); vertex_id | color_id -----------+---------- 1 | 0 2 | 1 3 | 0 4 | 1 5 | 0 6 | 1 7 | 0 8 | 1 9 | 0 10 | 1 11 | 0 12 | 1 13 | 0 14 | 0 15 | 1 16 | 0 17 | 1 (17 rows) /* --q2 */ INSERT INTO edge_table (source, target, cost, reverse_cost) VALUES (1, 7, 1, 1); INSERT 0 1 /* --q3 */ SELECT * FROM pgr_bipartite( $$SELECT id,source,target,cost,reverse_cost FROM edge_table$$ ); vertex_id | color_id -----------+---------- (0 rows) /* --q4 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/coloring/doc-bipartite.test.sql000066400000000000000000000005011414350551100237320ustar00rootroot00000000000000/* --q1 */ SELECT * FROM pgr_bipartite( $$SELECT id,source,target,cost,reverse_cost FROM edge_table$$ ); /* --q2 */ INSERT INTO edge_table (source, target, cost, reverse_cost) VALUES (1, 7, 1, 1); /* --q3 */ SELECT * FROM pgr_bipartite( $$SELECT id,source,target,cost,reverse_cost FROM edge_table$$ ); /* --q4 */ pgrouting-3.3.0/docqueries/coloring/doc-edgeColoring.result000066400000000000000000000011621414350551100241150ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_edgeColoring( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id' ); edge_id | color_id ---------+---------- 1 | 3 2 | 2 3 | 3 4 | 4 5 | 4 6 | 1 7 | 2 8 | 1 9 | 2 10 | 5 11 | 5 12 | 3 13 | 2 14 | 1 15 | 3 16 | 1 17 | 1 18 | 1 (18 rows) /* -- q2 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/coloring/doc-edgeColoring.test.sql000066400000000000000000000002171414350551100243540ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_edgeColoring( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id' ); /* -- q2 */ pgrouting-3.3.0/docqueries/coloring/doc-pgr_sequentialVertexColoring.result000066400000000000000000000012201414350551100274240ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_sequentialVertexColoring( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id' ); vertex_id | color_id -----------+---------- 1 | 1 2 | 2 3 | 1 4 | 2 5 | 1 6 | 2 7 | 1 8 | 2 9 | 1 10 | 2 11 | 1 12 | 2 13 | 1 14 | 1 15 | 2 16 | 1 17 | 2 (17 rows) /* -- q2 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/coloring/doc-pgr_sequentialVertexColoring.test.sql000066400000000000000000000002331414350551100276660ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_sequentialVertexColoring( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id' ); /* -- q2 */ pgrouting-3.3.0/docqueries/coloring/test.conf000066400000000000000000000006531414350551100213430ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'Coloring algorithm tests.', 'data' => [ ], 'tests' => [qw( doc-pgr_sequentialVertexColoring doc-bipartite doc-edgeColoring )], 'documentation' => [qw( doc-pgr_sequentialVertexColoring doc-bipartite doc-edgeColoring )] }, ); 1; pgrouting-3.3.0/docqueries/common/000077500000000000000000000000001414350551100171655ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/common/CMakeLists.txt000066400000000000000000000005061414350551100217260ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/common/test.conf000066400000000000000000000010131414350551100210060ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'pgr_createTopology, pgr_analyzegraph, and pgr_analyzeOneway tests for any versions.', 'data' => ['sampledata.data'], 'tests' => [qw( versionless-any-01 )], 'documentation' => [qw( )], 'dummyStorage' => [qw( )] }, # 'vpg-vpgis' => {}, # for version specific tests # '8-1' => {}, # for pg 8.x and postgis 1.x # '9.2-2.1' => {}, # for pg 9.2 and postgis 2.1 ); 1; pgrouting-3.3.0/docqueries/common/versionless-any-01.result000066400000000000000000000154431414350551100240130ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /*PGR-GNU***************************************************************** Copyright (c) 2015 pgRouting developers Mail: project@pgrouting.org ------ This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ********************************************************************PGR-GNU*/ select _pgr_versionless('2.1.0foobar23', '2.1'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0foobar23', '2.1-rc1'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0foobar23', '2.1-beta'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0foobar23', '2.1-alpha'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0foobar23', '2.1-dev'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0foobar23', '2.1rc1'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0foobar23', '2.1beta'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0foobar23', '2.1alpha'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0foobar23', '2.1dev'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0-dev', '2.1'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0-dev', '2.1-rc1'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0-dev', '2.1-beta'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0-dev', '2.1-alpha'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0-dev', '2.1rc1'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0-dev', '2.1beta'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0-dev', '2.1alpha'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0-alpha', '2.1'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0-alpha', '2.1-rc1'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0-alpha', '2.1-beta'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0-alpha', '2.1rc1'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0-alpha', '2.1beta'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0-beta', '2.1'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0-beta', '2.1-rc1'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1.0-beta', '2.1rc1'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.0.0', '2.1'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1', '2.1.3'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('1.05', '2.0.0'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('1.05', '2.0'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('1.05', '2'); _pgr_versionless ------------------ t (1 row) select _pgr_versionless('2.1', '2.1.0foobar23'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1-rc1', '2.1.0foobar23'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1-beta', '2.1.0foobar23'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1-alpha', '2.1.0foobar23'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1-dev', '2.1.0foobar23'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1rc1', '2.1.0foobar23'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1beta', '2.1.0foobar23'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1alpha', '2.1.0foobar23'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1dev', '2.1.0foobar23'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1', '2.1.0-dev'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1-rc1', '2.1.0-dev'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1-beta', '2.1.0-dev'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1-alpha', '2.1.0-dev'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1rc1', '2.1.0-dev'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1beta', '2.1.0-dev'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1alpha', '2.1.0-dev'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1', '2.1.0-alpha'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1-rc1', '2.1.0-alpha'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1-beta', '2.1.0-alpha'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1rc1', '2.1.0-alpha'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1beta', '2.1.0-alpha'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1', '2.1.0-beta'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1-rc1', '2.1.0-beta'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1rc1', '2.1.0-beta'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1', '2.0.0'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1.3', '2.1'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.0.0', '1.05'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.0', '1.05'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2', '1.05'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2', '2.0.0foobar'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1', '2.1.0'); _pgr_versionless ------------------ f (1 row) select _pgr_versionless('2.1.0beta3dev', '2.1.0beta1dev'); _pgr_versionless ------------------ f (1 row) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/common/versionless-any-01.test.sql000066400000000000000000000075471414350551100242600ustar00rootroot00000000000000/*PGR-GNU***************************************************************** Copyright (c) 2015 pgRouting developers Mail: project@pgrouting.org ------ This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ********************************************************************PGR-GNU*/ -- these should all be true select _pgr_versionless('2.1.0foobar23', '2.1'); select _pgr_versionless('2.1.0foobar23', '2.1-rc1'); select _pgr_versionless('2.1.0foobar23', '2.1-beta'); select _pgr_versionless('2.1.0foobar23', '2.1-alpha'); select _pgr_versionless('2.1.0foobar23', '2.1-dev'); select _pgr_versionless('2.1.0foobar23', '2.1rc1'); select _pgr_versionless('2.1.0foobar23', '2.1beta'); select _pgr_versionless('2.1.0foobar23', '2.1alpha'); select _pgr_versionless('2.1.0foobar23', '2.1dev'); select _pgr_versionless('2.1.0-dev', '2.1'); select _pgr_versionless('2.1.0-dev', '2.1-rc1'); select _pgr_versionless('2.1.0-dev', '2.1-beta'); select _pgr_versionless('2.1.0-dev', '2.1-alpha'); select _pgr_versionless('2.1.0-dev', '2.1rc1'); select _pgr_versionless('2.1.0-dev', '2.1beta'); select _pgr_versionless('2.1.0-dev', '2.1alpha'); select _pgr_versionless('2.1.0-alpha', '2.1'); select _pgr_versionless('2.1.0-alpha', '2.1-rc1'); select _pgr_versionless('2.1.0-alpha', '2.1-beta'); select _pgr_versionless('2.1.0-alpha', '2.1rc1'); select _pgr_versionless('2.1.0-alpha', '2.1beta'); select _pgr_versionless('2.1.0-beta', '2.1'); select _pgr_versionless('2.1.0-beta', '2.1-rc1'); select _pgr_versionless('2.1.0-beta', '2.1rc1'); select _pgr_versionless('2.0.0', '2.1'); select _pgr_versionless('2.1', '2.1.3'); select _pgr_versionless('1.05', '2.0.0'); select _pgr_versionless('1.05', '2.0'); select _pgr_versionless('1.05', '2'); -- these should all be false select _pgr_versionless('2.1', '2.1.0foobar23'); select _pgr_versionless('2.1-rc1', '2.1.0foobar23'); select _pgr_versionless('2.1-beta', '2.1.0foobar23'); select _pgr_versionless('2.1-alpha', '2.1.0foobar23'); select _pgr_versionless('2.1-dev', '2.1.0foobar23'); select _pgr_versionless('2.1rc1', '2.1.0foobar23'); select _pgr_versionless('2.1beta', '2.1.0foobar23'); select _pgr_versionless('2.1alpha', '2.1.0foobar23'); select _pgr_versionless('2.1dev', '2.1.0foobar23'); select _pgr_versionless('2.1', '2.1.0-dev'); select _pgr_versionless('2.1-rc1', '2.1.0-dev'); select _pgr_versionless('2.1-beta', '2.1.0-dev'); select _pgr_versionless('2.1-alpha', '2.1.0-dev'); select _pgr_versionless('2.1rc1', '2.1.0-dev'); select _pgr_versionless('2.1beta', '2.1.0-dev'); select _pgr_versionless('2.1alpha', '2.1.0-dev'); select _pgr_versionless('2.1', '2.1.0-alpha'); select _pgr_versionless('2.1-rc1', '2.1.0-alpha'); select _pgr_versionless('2.1-beta', '2.1.0-alpha'); select _pgr_versionless('2.1rc1', '2.1.0-alpha'); select _pgr_versionless('2.1beta', '2.1.0-alpha'); select _pgr_versionless('2.1', '2.1.0-beta'); select _pgr_versionless('2.1-rc1', '2.1.0-beta'); select _pgr_versionless('2.1rc1', '2.1.0-beta'); select _pgr_versionless('2.1', '2.0.0'); select _pgr_versionless('2.1.3', '2.1'); select _pgr_versionless('2.0.0', '1.05'); select _pgr_versionless('2.0', '1.05'); select _pgr_versionless('2', '1.05'); select _pgr_versionless('2', '2.0.0foobar'); select _pgr_versionless('2.1', '2.1.0'); select _pgr_versionless('2.1.0beta3dev', '2.1.0beta1dev'); pgrouting-3.3.0/docqueries/components/000077500000000000000000000000001414350551100200625ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/components/CMakeLists.txt000066400000000000000000000007621414350551100226270ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_articulationPoints doc-pgr_biconnectedComponents doc-pgr_bridges doc-pgr_connectedComponents doc-pgr_strongComponents doc-pgr_makeConnected ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/components/doc-pgr_articulationPoints.result000066400000000000000000000006271414350551100266350ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_articulationPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); node ------ 2 5 8 10 (4 rows) /* -- q2 */ SELECT * FROM pgr_articulationPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); node ------ 2 5 8 10 (4 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/components/doc-pgr_articulationPoints.test.sql000066400000000000000000000003641414350551100270720ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_articulationPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); /* -- q2 */ SELECT * FROM pgr_articulationPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); pgrouting-3.3.0/docqueries/components/doc-pgr_biconnectedComponents.result000066400000000000000000000024271414350551100272650ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_biconnectedComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); seq | component | edge -----+-----------+------ 1 | 1 | 1 2 | 2 | 2 3 | 2 | 3 4 | 2 | 4 5 | 2 | 5 6 | 2 | 8 7 | 2 | 9 8 | 2 | 10 9 | 2 | 11 10 | 2 | 12 11 | 2 | 13 12 | 2 | 15 13 | 2 | 16 14 | 6 | 6 15 | 7 | 7 16 | 14 | 14 17 | 17 | 17 18 | 18 | 18 (18 rows) /* -- q2 */ SELECT * FROM pgr_biconnectedComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); seq | component | edge -----+-----------+------ 1 | 1 | 1 2 | 2 | 2 3 | 2 | 3 4 | 2 | 4 5 | 2 | 5 6 | 2 | 8 7 | 2 | 9 8 | 2 | 10 9 | 2 | 11 10 | 2 | 12 11 | 2 | 13 12 | 2 | 15 13 | 2 | 16 14 | 6 | 6 15 | 7 | 7 16 | 14 | 14 17 | 17 | 17 18 | 18 | 18 (18 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/components/doc-pgr_biconnectedComponents.test.sql000066400000000000000000000003721414350551100275210ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_biconnectedComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); /* -- q2 */ SELECT * FROM pgr_biconnectedComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); pgrouting-3.3.0/docqueries/components/doc-pgr_bridges.result000066400000000000000000000006311414350551100243540ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_bridges( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); edge ------ 1 6 7 14 17 18 (6 rows) /* -- q2 */ SELECT * FROM pgr_bridges( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); edge ------ 1 6 7 14 17 18 (6 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/components/doc-pgr_bridges.test.sql000066400000000000000000000003361414350551100246150ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_bridges( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); /* -- q2 */ SELECT * FROM pgr_bridges( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); pgrouting-3.3.0/docqueries/components/doc-pgr_connectedComponents.result000066400000000000000000000023431414350551100267470ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_connectedComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); seq | component | node -----+-----------+------ 1 | 1 | 1 2 | 1 | 2 3 | 1 | 3 4 | 1 | 4 5 | 1 | 5 6 | 1 | 6 7 | 1 | 7 8 | 1 | 8 9 | 1 | 9 10 | 1 | 10 11 | 1 | 11 12 | 1 | 12 13 | 1 | 13 14 | 14 | 14 15 | 14 | 15 16 | 16 | 16 17 | 16 | 17 (17 rows) /* -- q2 */ SELECT * FROM pgr_connectedComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); seq | component | node -----+-----------+------ 1 | 1 | 1 2 | 1 | 2 3 | 1 | 3 4 | 1 | 4 5 | 1 | 5 6 | 1 | 6 7 | 1 | 7 8 | 1 | 8 9 | 1 | 9 10 | 1 | 10 11 | 1 | 11 12 | 1 | 12 13 | 1 | 13 14 | 14 | 14 15 | 14 | 15 16 | 16 | 16 17 | 16 | 17 (17 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/components/doc-pgr_connectedComponents.test.sql000066400000000000000000000003661414350551100272110ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_connectedComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); /* -- q2 */ SELECT * FROM pgr_connectedComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); pgrouting-3.3.0/docqueries/components/doc-pgr_makeConnected.result000066400000000000000000000005031414350551100254730ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_makeConnected( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); seq | start_vid | end_vid -----+-----------+--------- 1 | 13 | 14 2 | 15 | 16 (2 rows) /* -- q2 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/components/doc-pgr_makeConnected.test.sql000066400000000000000000000002051414350551100257310ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_makeConnected( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); /* -- q2 */ pgrouting-3.3.0/docqueries/components/doc-pgr_strongComponents.result000066400000000000000000000023351414350551100263220ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_strongComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); seq | component | node -----+-----------+------ 1 | 1 | 1 2 | 1 | 2 3 | 1 | 3 4 | 1 | 4 5 | 1 | 5 6 | 1 | 6 7 | 1 | 7 8 | 1 | 8 9 | 1 | 9 10 | 1 | 10 11 | 1 | 11 12 | 1 | 12 13 | 1 | 13 14 | 14 | 14 15 | 14 | 15 16 | 16 | 16 17 | 16 | 17 (17 rows) /* -- q2 */ SELECT * FROM pgr_strongComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); seq | component | node -----+-----------+------ 1 | 1 | 1 2 | 1 | 2 3 | 1 | 3 4 | 1 | 4 5 | 1 | 5 6 | 1 | 6 7 | 1 | 7 8 | 1 | 8 9 | 1 | 9 10 | 1 | 10 11 | 1 | 11 12 | 1 | 12 13 | 1 | 13 14 | 14 | 14 15 | 14 | 15 16 | 16 | 16 17 | 16 | 17 (17 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/components/doc-pgr_strongComponents.test.sql000066400000000000000000000003601414350551100265550ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_strongComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); /* -- q2 */ SELECT * FROM pgr_strongComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); pgrouting-3.3.0/docqueries/components/pgtap/000077500000000000000000000000001414350551100211755ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/components/pgtap/connectedComponentsV-typesCheck.sql000066400000000000000000000010411414350551100301500ustar00rootroot00000000000000 SELECT plan(4); SELECT has_function('pgr_connectedcomponentsv'); SELECT has_function('pgr_connectedcomponentsv', ARRAY[ 'text', 'bigint', 'bigint', 'boolean', 'boolean' ]); SELECT function_returns('pgr_connectedcomponentsv', ARRAY[ 'text', 'bigint', 'bigint', 'boolean', 'boolean' ], 'setof record'); -- testing column names SELECT bag_has( $$SELECT proargnames from pg_proc where proname = 'pgr_connectedcomponentsv'$$, $$SELECT '{"","","","directed","only_cost","seq","path_seq","node","edge","cost","agg_cost"}'::TEXT[] $$ ); pgrouting-3.3.0/docqueries/components/test.conf000066400000000000000000000012431414350551100217100ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'Components test for any versions.', 'data' => [ ], 'tests' => [qw( doc-pgr_connectedComponents doc-pgr_strongComponents doc-pgr_biconnectedComponents doc-pgr_articulationPoints doc-pgr_bridges doc-pgr_makeConnected )], 'documentation' => [qw( doc-pgr_connectedComponents doc-pgr_strongComponents doc-pgr_biconnectedComponents doc-pgr_articulationPoints doc-pgr_bridges doc-pgr_makeConnected )] }, ); 1; pgrouting-3.3.0/docqueries/contraction/000077500000000000000000000000001414350551100202205ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/contraction/CMakeLists.txt000066400000000000000000000005711414350551100227630ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-contraction-family doc-pgr_contraction ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/contraction/doc-contraction-family.result000066400000000000000000000275711414350551100260410ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q00 */ SELECT id, source, target, cost, reverse_cost FROM edge_table; id | source | target | cost | reverse_cost ----+--------+--------+------+-------------- 1 | 1 | 2 | 1 | 1 2 | 2 | 3 | -1 | 1 3 | 3 | 4 | -1 | 1 4 | 2 | 5 | 1 | 1 5 | 3 | 6 | 1 | -1 6 | 7 | 8 | 1 | 1 7 | 8 | 5 | 1 | 1 8 | 5 | 6 | 1 | 1 9 | 6 | 9 | 1 | 1 10 | 5 | 10 | 1 | 1 11 | 6 | 11 | 1 | -1 12 | 10 | 11 | 1 | -1 13 | 11 | 12 | 1 | -1 14 | 10 | 13 | 1 | 1 15 | 9 | 12 | 1 | 1 16 | 4 | 9 | 1 | 1 17 | 14 | 15 | 1 | 1 18 | 16 | 17 | 1 | 1 (18 rows) /* -- q01 */ /* -- q1 */ ALTER TABLE edge_table_vertices_pgr ADD is_contracted BOOLEAN DEFAULT false; ALTER TABLE ALTER TABLE edge_table_vertices_pgr ADD contracted_vertices BIGINT[]; ALTER TABLE ALTER TABLE edge_table ADD is_new BOOLEAN DEFAULT false; ALTER TABLE ALTER TABLE edge_table ADD contracted_vertices BIGINT[]; ALTER TABLE /* -- q2 */ SELECT * FROM pgr_contraction( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', array[1,2], directed:=false); type | id | contracted_vertices | source | target | cost ------+----+---------------------+--------+--------+------ v | 5 | {7,8} | -1 | -1 | -1 v | 15 | {14} | -1 | -1 | -1 v | 17 | {16} | -1 | -1 | -1 e | -1 | {1,2} | 3 | 5 | 2 e | -2 | {4} | 3 | 9 | 2 e | -3 | {10,13} | 5 | 11 | 2 e | -4 | {12} | 9 | 11 | 2 (7 rows) /* -- q3 */ SELECT * INTO contraction_results FROM pgr_contraction( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', array[1,2], directed:=false); SELECT 7 /* -- q4 */ UPDATE edge_table_vertices_pgr SET is_contracted = true WHERE id IN (SELECT unnest(contracted_vertices) FROM contraction_results); UPDATE 10 /* -- q5 */ SELECT id, is_contracted FROM edge_table_vertices_pgr ORDER BY id; id | is_contracted ----+--------------- 1 | t 2 | t 3 | f 4 | t 5 | f 6 | f 7 | t 8 | t 9 | f 10 | t 11 | f 12 | t 13 | t 14 | t 15 | f 16 | t 17 | f (17 rows) /* -- q6 */ UPDATE edge_table_vertices_pgr SET contracted_vertices = contraction_results.contracted_vertices FROM contraction_results WHERE type = 'v' AND edge_table_vertices_pgr.id = contraction_results.id; UPDATE 3 /* -- q7 */ SELECT id, contracted_vertices, is_contracted FROM edge_table_vertices_pgr ORDER BY id; id | contracted_vertices | is_contracted ----+---------------------+--------------- 1 | | t 2 | | t 3 | | f 4 | | t 5 | {7,8} | f 6 | | f 7 | | t 8 | | t 9 | | f 10 | | t 11 | | f 12 | | t 13 | | t 14 | | t 15 | {14} | f 16 | | t 17 | {16} | f (17 rows) /* -- q8 */ INSERT INTO edge_table(source, target, cost, reverse_cost, contracted_vertices, is_new) SELECT source, target, cost, -1, contracted_vertices, true FROM contraction_results WHERE type = 'e'; INSERT 0 4 /* -- q9 */ SELECT id, source, target, cost, reverse_cost, contracted_vertices, is_new FROM edge_table ORDER BY id; id | source | target | cost | reverse_cost | contracted_vertices | is_new ----+--------+--------+------+--------------+---------------------+-------- 1 | 1 | 2 | 1 | 1 | | f 2 | 2 | 3 | -1 | 1 | | f 3 | 3 | 4 | -1 | 1 | | f 4 | 2 | 5 | 1 | 1 | | f 5 | 3 | 6 | 1 | -1 | | f 6 | 7 | 8 | 1 | 1 | | f 7 | 8 | 5 | 1 | 1 | | f 8 | 5 | 6 | 1 | 1 | | f 9 | 6 | 9 | 1 | 1 | | f 10 | 5 | 10 | 1 | 1 | | f 11 | 6 | 11 | 1 | -1 | | f 12 | 10 | 11 | 1 | -1 | | f 13 | 11 | 12 | 1 | -1 | | f 14 | 10 | 13 | 1 | 1 | | f 15 | 9 | 12 | 1 | 1 | | f 16 | 4 | 9 | 1 | 1 | | f 17 | 14 | 15 | 1 | 1 | | f 18 | 16 | 17 | 1 | 1 | | f 19 | 3 | 5 | 2 | -1 | {1,2} | t 20 | 3 | 9 | 2 | -1 | {4} | t 21 | 5 | 11 | 2 | -1 | {10,13} | t 22 | 9 | 11 | 2 | -1 | {12} | t (22 rows) /* -- q10 */ SELECT id FROM edge_table_vertices_pgr WHERE is_contracted = false ORDER BY id; id ---- 3 5 6 9 11 15 17 (7 rows) /* -- q11 */ WITH vertices_in_graph AS ( SELECT id FROM edge_table_vertices_pgr WHERE is_contracted = false ) SELECT id, source, target, cost, reverse_cost, contracted_vertices FROM edge_table WHERE source IN (SELECT * FROM vertices_in_graph) AND target IN (SELECT * FROM vertices_in_graph) ORDER BY id; id | source | target | cost | reverse_cost | contracted_vertices ----+--------+--------+------+--------------+--------------------- 5 | 3 | 6 | 1 | -1 | 8 | 5 | 6 | 1 | 1 | 9 | 6 | 9 | 1 | 1 | 11 | 6 | 11 | 1 | -1 | 19 | 3 | 5 | 2 | -1 | {1,2} 20 | 3 | 9 | 2 | -1 | {4} 21 | 5 | 11 | 2 | -1 | {10,13} 22 | 9 | 11 | 2 | -1 | {12} (8 rows) /* -- case1 */ CREATE OR REPLACE FUNCTION my_dijkstra( departure BIGINT, destination BIGINT, OUT seq INTEGER, OUT path_seq INTEGER, OUT node BIGINT, OUT edge BIGINT, OUT cost FLOAT, OUT agg_cost FLOAT) RETURNS SETOF RECORD AS $BODY$ SELECT * FROM pgr_dijkstra( $$ WITH vertices_in_graph AS ( SELECT id FROM edge_table_vertices_pgr WHERE is_contracted = false ) SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE source IN (SELECT * FROM vertices_in_graph) AND target IN (SELECT * FROM vertices_in_graph) $$, departure, destination, false); $BODY$ LANGUAGE SQL VOLATILE; CREATE FUNCTION /* -- use1 */ SELECT * FROM my_dijkstra(3, 11); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 3 | 5 | 1 | 0 2 | 2 | 6 | 11 | 1 | 1 3 | 3 | 11 | -1 | 0 | 2 (3 rows) /* -- use1-1 */ SELECT * FROM my_dijkstra(4, 11); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- (0 rows) /* -- use1-2 */ SELECT * FROM my_dijkstra(4, 7); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- (0 rows) /* -- case2 */ CREATE OR REPLACE FUNCTION my_dijkstra( departure BIGINT, destination BIGINT, OUT seq INTEGER, OUT path_seq INTEGER, OUT node BIGINT, OUT edge BIGINT, OUT cost FLOAT, OUT agg_cost FLOAT) RETURNS SETOF RECORD AS $BODY$ SELECT * FROM pgr_dijkstra( $$ WITH edges_to_expand AS ( SELECT id FROM edge_table WHERE ARRAY[$$ || departure || $$]::BIGINT[] <@ contracted_vertices OR ARRAY[$$ || destination || $$]::BIGINT[] <@ contracted_vertices ), vertices_in_graph AS ( SELECT id FROM edge_table_vertices_pgr WHERE is_contracted = false UNION SELECT unnest(contracted_vertices) FROM edge_table WHERE id IN (SELECT id FROM edges_to_expand) ) SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE source IN (SELECT * FROM vertices_in_graph) AND target IN (SELECT * FROM vertices_in_graph) $$, departure, destination, false); $BODY$ LANGUAGE SQL VOLATILE; CREATE FUNCTION /* -- use2 */ SELECT * FROM my_dijkstra(3, 11); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 3 | 5 | 1 | 0 2 | 2 | 6 | 11 | 1 | 1 3 | 3 | 11 | -1 | 0 | 2 (3 rows) /* -- use2-1 */ SELECT * FROM my_dijkstra(4, 11); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 4 | 16 | 1 | 0 2 | 2 | 9 | 22 | 2 | 1 3 | 3 | 11 | -1 | 0 | 3 (3 rows) /* -- use2-2 */ SELECT * FROM my_dijkstra(4, 7); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- (0 rows) /* -- case3 */ CREATE OR REPLACE FUNCTION my_dijkstra( departure BIGINT, destination BIGINT, OUT seq INTEGER, OUT path_seq INTEGER, OUT node BIGINT, OUT edge BIGINT, OUT cost FLOAT, OUT agg_cost FLOAT) RETURNS SETOF RECORD AS $BODY$ SELECT * FROM pgr_dijkstra( $$ WITH edges_to_expand AS ( SELECT id FROM edge_table WHERE ARRAY[$$ || departure || $$]::BIGINT[] <@ contracted_vertices OR ARRAY[$$ || destination || $$]::BIGINT[] <@ contracted_vertices ), vertices_to_expand AS ( SELECT id FROM edge_table_vertices_pgr WHERE ARRAY[$$ || departure || $$]::BIGINT[] <@ contracted_vertices OR ARRAY[$$ || destination || $$]::BIGINT[] <@ contracted_vertices ), vertices_in_graph AS ( SELECT id FROM edge_table_vertices_pgr WHERE is_contracted = false UNION SELECT unnest(contracted_vertices) FROM edge_table WHERE id IN (SELECT id FROM edges_to_expand) UNION SELECT unnest(contracted_vertices) FROM edge_table_vertices_pgr WHERE id IN (SELECT id FROM vertices_to_expand) ) SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE source IN (SELECT * FROM vertices_in_graph) AND target IN (SELECT * FROM vertices_in_graph) $$, departure, destination, false); $BODY$ LANGUAGE SQL VOLATILE; CREATE FUNCTION /* -- use3 */ SELECT * FROM my_dijkstra(3, 11); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 3 | 5 | 1 | 0 2 | 2 | 6 | 11 | 1 | 1 3 | 3 | 11 | -1 | 0 | 2 (3 rows) /* -- use3-1 */ SELECT * FROM my_dijkstra(4, 11); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 4 | 16 | 1 | 0 2 | 2 | 9 | 22 | 2 | 1 3 | 3 | 11 | -1 | 0 | 3 (3 rows) /* -- use3-2 */ SELECT * FROM my_dijkstra(4, 7); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 4 | 3 | 1 | 0 2 | 2 | 3 | 19 | 2 | 1 3 | 3 | 5 | 7 | 1 | 3 4 | 4 | 8 | 6 | 1 | 4 5 | 5 | 7 | -1 | 0 | 5 (5 rows) /* -- end */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/contraction/doc-contraction-family.test.sql000066400000000000000000000126441414350551100262730ustar00rootroot00000000000000 /* -- q00 */ SELECT id, source, target, cost, reverse_cost FROM edge_table; /* -- q01 */ /* -- q1 */ ALTER TABLE edge_table_vertices_pgr ADD is_contracted BOOLEAN DEFAULT false; ALTER TABLE edge_table_vertices_pgr ADD contracted_vertices BIGINT[]; ALTER TABLE edge_table ADD is_new BOOLEAN DEFAULT false; ALTER TABLE edge_table ADD contracted_vertices BIGINT[]; /* -- q2 */ SELECT * FROM pgr_contraction( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', array[1,2], directed:=false); /* -- q3 */ SELECT * INTO contraction_results FROM pgr_contraction( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', array[1,2], directed:=false); /* -- q4 */ UPDATE edge_table_vertices_pgr SET is_contracted = true WHERE id IN (SELECT unnest(contracted_vertices) FROM contraction_results); /* -- q5 */ SELECT id, is_contracted FROM edge_table_vertices_pgr ORDER BY id; /* -- q6 */ UPDATE edge_table_vertices_pgr SET contracted_vertices = contraction_results.contracted_vertices FROM contraction_results WHERE type = 'v' AND edge_table_vertices_pgr.id = contraction_results.id; /* -- q7 */ SELECT id, contracted_vertices, is_contracted FROM edge_table_vertices_pgr ORDER BY id; /* -- q8 */ INSERT INTO edge_table(source, target, cost, reverse_cost, contracted_vertices, is_new) SELECT source, target, cost, -1, contracted_vertices, true FROM contraction_results WHERE type = 'e'; /* -- q9 */ SELECT id, source, target, cost, reverse_cost, contracted_vertices, is_new FROM edge_table ORDER BY id; /* -- q10 */ SELECT id FROM edge_table_vertices_pgr WHERE is_contracted = false ORDER BY id; /* -- q11 */ WITH vertices_in_graph AS ( SELECT id FROM edge_table_vertices_pgr WHERE is_contracted = false ) SELECT id, source, target, cost, reverse_cost, contracted_vertices FROM edge_table WHERE source IN (SELECT * FROM vertices_in_graph) AND target IN (SELECT * FROM vertices_in_graph) ORDER BY id; /* -- case1 */ CREATE OR REPLACE FUNCTION my_dijkstra( departure BIGINT, destination BIGINT, OUT seq INTEGER, OUT path_seq INTEGER, OUT node BIGINT, OUT edge BIGINT, OUT cost FLOAT, OUT agg_cost FLOAT) RETURNS SETOF RECORD AS $BODY$ SELECT * FROM pgr_dijkstra( $$ WITH vertices_in_graph AS ( SELECT id FROM edge_table_vertices_pgr WHERE is_contracted = false ) SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE source IN (SELECT * FROM vertices_in_graph) AND target IN (SELECT * FROM vertices_in_graph) $$, departure, destination, false); $BODY$ LANGUAGE SQL VOLATILE; /* -- use1 */ SELECT * FROM my_dijkstra(3, 11); /* -- use1-1 */ SELECT * FROM my_dijkstra(4, 11); /* -- use1-2 */ SELECT * FROM my_dijkstra(4, 7); /* -- case2 */ CREATE OR REPLACE FUNCTION my_dijkstra( departure BIGINT, destination BIGINT, OUT seq INTEGER, OUT path_seq INTEGER, OUT node BIGINT, OUT edge BIGINT, OUT cost FLOAT, OUT agg_cost FLOAT) RETURNS SETOF RECORD AS $BODY$ SELECT * FROM pgr_dijkstra( $$ WITH edges_to_expand AS ( SELECT id FROM edge_table WHERE ARRAY[$$ || departure || $$]::BIGINT[] <@ contracted_vertices OR ARRAY[$$ || destination || $$]::BIGINT[] <@ contracted_vertices ), vertices_in_graph AS ( SELECT id FROM edge_table_vertices_pgr WHERE is_contracted = false UNION SELECT unnest(contracted_vertices) FROM edge_table WHERE id IN (SELECT id FROM edges_to_expand) ) SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE source IN (SELECT * FROM vertices_in_graph) AND target IN (SELECT * FROM vertices_in_graph) $$, departure, destination, false); $BODY$ LANGUAGE SQL VOLATILE; /* -- use2 */ SELECT * FROM my_dijkstra(3, 11); /* -- use2-1 */ SELECT * FROM my_dijkstra(4, 11); /* -- use2-2 */ SELECT * FROM my_dijkstra(4, 7); /* -- case3 */ CREATE OR REPLACE FUNCTION my_dijkstra( departure BIGINT, destination BIGINT, OUT seq INTEGER, OUT path_seq INTEGER, OUT node BIGINT, OUT edge BIGINT, OUT cost FLOAT, OUT agg_cost FLOAT) RETURNS SETOF RECORD AS $BODY$ SELECT * FROM pgr_dijkstra( $$ WITH edges_to_expand AS ( SELECT id FROM edge_table WHERE ARRAY[$$ || departure || $$]::BIGINT[] <@ contracted_vertices OR ARRAY[$$ || destination || $$]::BIGINT[] <@ contracted_vertices ), vertices_to_expand AS ( SELECT id FROM edge_table_vertices_pgr WHERE ARRAY[$$ || departure || $$]::BIGINT[] <@ contracted_vertices OR ARRAY[$$ || destination || $$]::BIGINT[] <@ contracted_vertices ), vertices_in_graph AS ( SELECT id FROM edge_table_vertices_pgr WHERE is_contracted = false UNION SELECT unnest(contracted_vertices) FROM edge_table WHERE id IN (SELECT id FROM edges_to_expand) UNION SELECT unnest(contracted_vertices) FROM edge_table_vertices_pgr WHERE id IN (SELECT id FROM vertices_to_expand) ) SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE source IN (SELECT * FROM vertices_in_graph) AND target IN (SELECT * FROM vertices_in_graph) $$, departure, destination, false); $BODY$ LANGUAGE SQL VOLATILE; /* -- use3 */ SELECT * FROM my_dijkstra(3, 11); /* -- use3-1 */ SELECT * FROM my_dijkstra(4, 11); /* -- use3-2 */ SELECT * FROM my_dijkstra(4, 7); /* -- end */ pgrouting-3.3.0/docqueries/contraction/doc-pgr_contraction.result000066400000000000000000000040761414350551100254250ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_contraction( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[1, 2]); type | id | contracted_vertices | source | target | cost ------+----+---------------------+--------+--------+------ v | 2 | {1} | -1 | -1 | -1 v | 5 | {7,8} | -1 | -1 | -1 v | 10 | {13} | -1 | -1 | -1 v | 15 | {14} | -1 | -1 | -1 v | 17 | {16} | -1 | -1 | -1 (5 rows) /* -- q2 */ SELECT * FROM pgr_contraction( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[1, 2], forbidden_vertices:=ARRAY[2]); type | id | contracted_vertices | source | target | cost ------+----+---------------------+--------+--------+------ v | 2 | {1} | -1 | -1 | -1 v | 5 | {7,8} | -1 | -1 | -1 v | 10 | {13} | -1 | -1 | -1 v | 15 | {14} | -1 | -1 | -1 v | 17 | {16} | -1 | -1 | -1 (5 rows) /* -- q3 */ SELECT * FROM pgr_contraction( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[1]); type | id | contracted_vertices | source | target | cost ------+----+---------------------+--------+--------+------ v | 2 | {1} | -1 | -1 | -1 v | 5 | {7,8} | -1 | -1 | -1 v | 10 | {13} | -1 | -1 | -1 v | 15 | {14} | -1 | -1 | -1 v | 17 | {16} | -1 | -1 | -1 (5 rows) /* -- q4 */ SELECT * FROM pgr_contraction( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2]); type | id | contracted_vertices | source | target | cost ------+----+---------------------+--------+--------+------ e | -1 | {8} | 5 | 7 | 2 e | -2 | {8} | 7 | 5 | 2 (2 rows) /* -- q5 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/contraction/doc-pgr_contraction.test.sql000066400000000000000000000010451414350551100256550ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_contraction( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[1, 2]); /* -- q2 */ SELECT * FROM pgr_contraction( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[1, 2], forbidden_vertices:=ARRAY[2]); /* -- q3 */ SELECT * FROM pgr_contraction( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[1]); /* -- q4 */ SELECT * FROM pgr_contraction( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2]); /* -- q5 */ pgrouting-3.3.0/docqueries/contraction/test.conf000066400000000000000000000005341414350551100220500ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'Contraction', 'data' => [ ], 'tests' => [qw( doc-contraction-family doc-pgr_contraction )], 'documentation' => [qw( doc-contraction-family doc-pgr_contraction )] }, ); 1; pgrouting-3.3.0/docqueries/dagShortestPath/000077500000000000000000000000001414350551100210015ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/dagShortestPath/CMakeLists.txt000066400000000000000000000005421414350551100235420ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_dagShortestPath ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/dagShortestPath/doc-pgr_dagShortestPath.result000066400000000000000000000057651414350551100267750ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_dagShortestPath( 'SELECT id, source, target, cost FROM edge_table', 1, 6 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 1 | 1 | 1 | 0 2 | 2 | 2 | 4 | 1 | 1 3 | 3 | 5 | 8 | 1 | 2 4 | 4 | 6 | -1 | 0 | 3 (4 rows) /* -- q2 */ SELECT * FROM pgr_dagShortestPath( 'SELECT id, source, target, cost FROM edge_table', 1, ARRAY[5,6] ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 1 | 1 | 1 | 0 2 | 2 | 2 | 4 | 1 | 1 3 | 3 | 5 | -1 | 0 | 2 4 | 1 | 1 | 1 | 1 | 0 5 | 2 | 2 | 4 | 1 | 1 6 | 3 | 5 | 8 | 1 | 2 7 | 4 | 6 | -1 | 0 | 3 (7 rows) /* -- q3 */ SELECT * FROM pgr_dagShortestPath( 'SELECT id, source, target, cost FROM edge_table', ARRAY[1,3], 6 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 1 | 1 | 1 | 0 2 | 2 | 2 | 4 | 1 | 1 3 | 3 | 5 | 8 | 1 | 2 4 | 4 | 6 | -1 | 0 | 3 5 | 1 | 3 | 5 | 1 | 0 6 | 2 | 6 | -1 | 0 | 1 (6 rows) /* -- q4 */ SELECT * FROM pgr_dagShortestPath( 'SELECT id, source, target, cost FROM edge_table', ARRAY[1, 4],ARRAY[12,6] ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 1 | 1 | 1 | 0 2 | 2 | 2 | 4 | 1 | 1 3 | 3 | 5 | 8 | 1 | 2 4 | 4 | 6 | -1 | 0 | 3 5 | 1 | 1 | 1 | 1 | 0 6 | 2 | 2 | 4 | 1 | 1 7 | 3 | 5 | 10 | 1 | 2 8 | 4 | 10 | 12 | 1 | 3 9 | 5 | 11 | 13 | 1 | 4 10 | 6 | 12 | -1 | 0 | 5 11 | 1 | 4 | 16 | 1 | 0 12 | 2 | 9 | 15 | 1 | 1 13 | 3 | 12 | -1 | 0 | 2 (13 rows) /* -- q5 */ SELECT * FROM pgr_dagShortestPath( 'SELECT id, source, target, cost FROM edge_table', 'SELECT * FROM ( VALUES (1, 6), (4, 12) ) AS t(source, target)' ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 1 | 1 | 1 | 0 2 | 2 | 2 | 4 | 1 | 1 3 | 3 | 5 | 8 | 1 | 2 4 | 4 | 6 | -1 | 0 | 3 5 | 1 | 4 | 16 | 1 | 0 6 | 2 | 9 | 15 | 1 | 1 7 | 3 | 12 | -1 | 0 | 2 (7 rows) /* -- q6 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/dagShortestPath/doc-pgr_dagShortestPath.test.sql000066400000000000000000000012511414350551100272160ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_dagShortestPath( 'SELECT id, source, target, cost FROM edge_table', 1, 6 ); /* -- q2 */ SELECT * FROM pgr_dagShortestPath( 'SELECT id, source, target, cost FROM edge_table', 1, ARRAY[5,6] ); /* -- q3 */ SELECT * FROM pgr_dagShortestPath( 'SELECT id, source, target, cost FROM edge_table', ARRAY[1,3], 6 ); /* -- q4 */ SELECT * FROM pgr_dagShortestPath( 'SELECT id, source, target, cost FROM edge_table', ARRAY[1, 4],ARRAY[12,6] ); /* -- q5 */ SELECT * FROM pgr_dagShortestPath( 'SELECT id, source, target, cost FROM edge_table', 'SELECT * FROM ( VALUES (1, 6), (4, 12) ) AS t(source, target)' ); /* -- q6 */ pgrouting-3.3.0/docqueries/dagShortestPath/test.conf000066400000000000000000000004451414350551100226320ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'pgr_dagShortestPath', 'data' => [ ], 'tests' => [qw( doc-pgr_dagShortestPath )], 'documentation' => [qw( doc-pgr_dagShortestPath )] }, ); 1; pgrouting-3.3.0/docqueries/dijkstra/000077500000000000000000000000001414350551100175105ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/dijkstra/CMakeLists.txt000066400000000000000000000007411414350551100222520ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_dijkstraCostMatrix doc-pgr_dijkstraCost doc-pgr_dijkstra doc-pgr_dijkstraVia doc-pgr_dijkstraNear doc-pgr_dijkstraNearCost ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/dijkstra/doc-pgr_dijkstra.result000066400000000000000000000703441414350551100242060ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | 8 | 1 | 1 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 9 | 16 | 1 | 3 5 | 5 | 4 | 3 | 1 | 4 6 | 6 | 3 | -1 | 0 | 5 (6 rows) /* -- q2 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 2 | 1 | 0 2 | 2 | 3 | -1 | 0 | 1 (2 rows) /* -- q3 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 2, ARRAY[3,5], FALSE ); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 4 | 1 | 0 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 3 | 6 | 5 | 1 | 2 4 | 4 | 3 | 3 | -1 | 0 | 3 5 | 1 | 5 | 2 | 4 | 1 | 0 6 | 2 | 5 | 5 | -1 | 0 | 1 (6 rows) /* -- q4 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], 5 ); seq | path_seq | start_vid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | 2 | 2 | 4 | 1 | 0 2 | 2 | 2 | 5 | -1 | 0 | 1 3 | 1 | 11 | 11 | 13 | 1 | 0 4 | 2 | 11 | 12 | 15 | 1 | 1 5 | 3 | 11 | 9 | 9 | 1 | 2 6 | 4 | 11 | 6 | 8 | 1 | 3 7 | 5 | 11 | 5 | -1 | 0 | 4 (7 rows) /* -- q5 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], ARRAY[3,5], FALSE ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 2 | 1 | 0 2 | 2 | 2 | 3 | 3 | -1 | 0 | 1 3 | 1 | 2 | 5 | 2 | 4 | 1 | 0 4 | 2 | 2 | 5 | 5 | -1 | 0 | 1 5 | 1 | 11 | 3 | 11 | 11 | 1 | 0 6 | 2 | 11 | 3 | 6 | 5 | 1 | 1 7 | 3 | 11 | 3 | 3 | -1 | 0 | 2 8 | 1 | 11 | 5 | 11 | 11 | 1 | 0 9 | 2 | 11 | 5 | 6 | 8 | 1 | 1 10 | 3 | 11 | 5 | 5 | -1 | 0 | 2 (10 rows) /* -- q6 */ /* -- q7 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | 8 | 1 | 1 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 9 | 16 | 1 | 3 5 | 5 | 4 | 3 | 1 | 4 6 | 6 | 3 | -1 | 0 | 5 (6 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 5 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3,5] ); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 4 | 1 | 0 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 3 | 9 | 16 | 1 | 3 5 | 5 | 3 | 4 | 3 | 1 | 4 6 | 6 | 3 | 3 | -1 | 0 | 5 7 | 1 | 5 | 2 | 4 | 1 | 0 8 | 2 | 5 | 5 | -1 | 0 | 1 (8 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 11, 3 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 11 | 13 | 1 | 0 2 | 2 | 12 | 15 | 1 | 1 3 | 3 | 9 | 16 | 1 | 2 4 | 4 | 4 | 3 | 1 | 3 5 | 5 | 3 | -1 | 0 | 4 (5 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 11, 5 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 11 | 13 | 1 | 0 2 | 2 | 12 | 15 | 1 | 1 3 | 3 | 9 | 9 | 1 | 2 4 | 4 | 6 | 8 | 1 | 3 5 | 5 | 5 | -1 | 0 | 4 (5 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], 5 ); seq | path_seq | start_vid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | 2 | 2 | 4 | 1 | 0 2 | 2 | 2 | 5 | -1 | 0 | 1 3 | 1 | 11 | 11 | 13 | 1 | 0 4 | 2 | 11 | 12 | 15 | 1 | 1 5 | 3 | 11 | 9 | 9 | 1 | 2 6 | 4 | 11 | 6 | 8 | 1 | 3 7 | 5 | 11 | 5 | -1 | 0 | 4 (7 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2, 11], ARRAY[3,5] ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 4 | 1 | 0 2 | 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 2 | 3 | 6 | 9 | 1 | 2 4 | 4 | 2 | 3 | 9 | 16 | 1 | 3 5 | 5 | 2 | 3 | 4 | 3 | 1 | 4 6 | 6 | 2 | 3 | 3 | -1 | 0 | 5 7 | 1 | 2 | 5 | 2 | 4 | 1 | 0 8 | 2 | 2 | 5 | 5 | -1 | 0 | 1 9 | 1 | 11 | 3 | 11 | 13 | 1 | 0 10 | 2 | 11 | 3 | 12 | 15 | 1 | 1 11 | 3 | 11 | 3 | 9 | 16 | 1 | 2 12 | 4 | 11 | 3 | 4 | 3 | 1 | 3 13 | 5 | 11 | 3 | 3 | -1 | 0 | 4 14 | 1 | 11 | 5 | 11 | 13 | 1 | 0 15 | 2 | 11 | 5 | 12 | 15 | 1 | 1 16 | 3 | 11 | 5 | 9 | 9 | 1 | 2 17 | 4 | 11 | 5 | 6 | 8 | 1 | 3 18 | 5 | 11 | 5 | 5 | -1 | 0 | 4 (18 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM (VALUES (2, 3), (2, 5), (11, 3), (11, 5)) AS combinations (source, target)' ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 4 | 1 | 0 2 | 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 2 | 3 | 6 | 9 | 1 | 2 4 | 4 | 2 | 3 | 9 | 16 | 1 | 3 5 | 5 | 2 | 3 | 4 | 3 | 1 | 4 6 | 6 | 2 | 3 | 3 | -1 | 0 | 5 7 | 1 | 2 | 5 | 2 | 4 | 1 | 0 8 | 2 | 2 | 5 | 5 | -1 | 0 | 1 9 | 1 | 11 | 3 | 11 | 13 | 1 | 0 10 | 2 | 11 | 3 | 12 | 15 | 1 | 1 11 | 3 | 11 | 3 | 9 | 16 | 1 | 2 12 | 4 | 11 | 3 | 4 | 3 | 1 | 3 13 | 5 | 11 | 3 | 3 | -1 | 0 | 4 14 | 1 | 11 | 5 | 11 | 13 | 1 | 0 15 | 2 | 11 | 5 | 12 | 15 | 1 | 1 16 | 3 | 11 | 5 | 9 | 9 | 1 | 2 17 | 4 | 11 | 5 | 6 | 8 | 1 | 3 18 | 5 | 11 | 5 | 5 | -1 | 0 | 4 (18 rows) /* -- q8 */ /* -- q9 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 2 | 1 | 0 2 | 2 | 3 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 5, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 11, 3, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 11 | 11 | 1 | 0 2 | 2 | 6 | 5 | 1 | 1 3 | 3 | 3 | -1 | 0 | 2 (3 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 11, 5, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 11 | 11 | 1 | 0 2 | 2 | 6 | 8 | 1 | 1 3 | 3 | 5 | -1 | 0 | 2 (3 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], 5, FALSE ); seq | path_seq | start_vid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | 2 | 2 | 4 | 1 | 0 2 | 2 | 2 | 5 | -1 | 0 | 1 3 | 1 | 11 | 11 | 12 | 1 | 0 4 | 2 | 11 | 10 | 10 | 1 | 1 5 | 3 | 11 | 5 | -1 | 0 | 2 (5 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3,5], FALSE ); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 2 | 1 | 0 2 | 2 | 3 | 3 | -1 | 0 | 1 3 | 1 | 5 | 2 | 4 | 1 | 0 4 | 2 | 5 | 5 | -1 | 0 | 1 (4 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2, 11], ARRAY[3,5], FALSE ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 2 | 1 | 0 2 | 2 | 2 | 3 | 3 | -1 | 0 | 1 3 | 1 | 2 | 5 | 2 | 4 | 1 | 0 4 | 2 | 2 | 5 | 5 | -1 | 0 | 1 5 | 1 | 11 | 3 | 11 | 11 | 1 | 0 6 | 2 | 11 | 3 | 6 | 5 | 1 | 1 7 | 3 | 11 | 3 | 3 | -1 | 0 | 2 8 | 1 | 11 | 5 | 11 | 11 | 1 | 0 9 | 2 | 11 | 5 | 6 | 8 | 1 | 1 10 | 3 | 11 | 5 | 5 | -1 | 0 | 2 (10 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM (VALUES (2, 3), (2, 5), (11, 3), (11, 5)) AS combinations (source, target)', FALSE ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 2 | 1 | 0 2 | 2 | 2 | 3 | 3 | -1 | 0 | 1 3 | 1 | 2 | 5 | 2 | 4 | 1 | 0 4 | 2 | 2 | 5 | 5 | -1 | 0 | 1 5 | 1 | 11 | 3 | 11 | 11 | 1 | 0 6 | 2 | 11 | 3 | 6 | 5 | 1 | 1 7 | 3 | 11 | 3 | 3 | -1 | 0 | 2 8 | 1 | 11 | 5 | 11 | 11 | 1 | 0 9 | 2 | 11 | 5 | 6 | 8 | 1 | 1 10 | 3 | 11 | 5 | 5 | -1 | 0 | 2 (10 rows) /* -- q10 */ /* -- q11 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 2, 3 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- (0 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 2, 5 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 11, 3 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- (0 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 11, 5 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- (0 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', ARRAY[2,11], 5 ); seq | path_seq | start_vid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | 2 | 2 | 4 | 1 | 0 2 | 2 | 2 | 5 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 2, ARRAY[3,5] ); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 5 | 2 | 4 | 1 | 0 2 | 2 | 5 | 5 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', ARRAY[2, 11], ARRAY[3,5] ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 5 | 2 | 4 | 1 | 0 2 | 2 | 2 | 5 | 5 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 'SELECT * FROM (VALUES (2, 3), (2, 5), (11, 3), (11, 5)) AS combinations (source, target)' ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 5 | 2 | 4 | 1 | 0 2 | 2 | 2 | 5 | 5 | -1 | 0 | 1 (2 rows) /* -- q12 */ /* -- q13 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 2, 3, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | 8 | 1 | 1 3 | 3 | 6 | 5 | 1 | 2 4 | 4 | 3 | -1 | 0 | 3 (4 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 2, 5, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 11, 3, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 11 | 11 | 1 | 0 2 | 2 | 6 | 5 | 1 | 1 3 | 3 | 3 | -1 | 0 | 2 (3 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 11, 5, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 11 | 11 | 1 | 0 2 | 2 | 6 | 8 | 1 | 1 3 | 3 | 5 | -1 | 0 | 2 (3 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', ARRAY[2,11], 5, FALSE ); seq | path_seq | start_vid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | 2 | 2 | 4 | 1 | 0 2 | 2 | 2 | 5 | -1 | 0 | 1 3 | 1 | 11 | 11 | 12 | 1 | 0 4 | 2 | 11 | 10 | 10 | 1 | 1 5 | 3 | 11 | 5 | -1 | 0 | 2 (5 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 2, ARRAY[3,5], FALSE ); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 4 | 1 | 0 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 3 | 6 | 5 | 1 | 2 4 | 4 | 3 | 3 | -1 | 0 | 3 5 | 1 | 5 | 2 | 4 | 1 | 0 6 | 2 | 5 | 5 | -1 | 0 | 1 (6 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', ARRAY[2, 11], ARRAY[3,5], FALSE ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 4 | 1 | 0 2 | 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 2 | 3 | 6 | 5 | 1 | 2 4 | 4 | 2 | 3 | 3 | -1 | 0 | 3 5 | 1 | 2 | 5 | 2 | 4 | 1 | 0 6 | 2 | 2 | 5 | 5 | -1 | 0 | 1 7 | 1 | 11 | 3 | 11 | 11 | 1 | 0 8 | 2 | 11 | 3 | 6 | 5 | 1 | 1 9 | 3 | 11 | 3 | 3 | -1 | 0 | 2 10 | 1 | 11 | 5 | 11 | 11 | 1 | 0 11 | 2 | 11 | 5 | 6 | 8 | 1 | 1 12 | 3 | 11 | 5 | 5 | -1 | 0 | 2 (12 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 'SELECT * FROM (VALUES (2, 3), (2, 5), (11, 3), (11, 5)) AS combinations (source, target)', FALSE ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 4 | 1 | 0 2 | 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 2 | 3 | 6 | 5 | 1 | 2 4 | 4 | 2 | 3 | 3 | -1 | 0 | 3 5 | 1 | 2 | 5 | 2 | 4 | 1 | 0 6 | 2 | 2 | 5 | 5 | -1 | 0 | 1 7 | 1 | 11 | 3 | 11 | 11 | 1 | 0 8 | 2 | 11 | 3 | 6 | 5 | 1 | 1 9 | 3 | 11 | 3 | 3 | -1 | 0 | 2 10 | 1 | 11 | 5 | 11 | 11 | 1 | 0 11 | 2 | 11 | 5 | 6 | 8 | 1 | 1 12 | 3 | 11 | 5 | 5 | -1 | 0 | 2 (12 rows) /* -- q14 */ /* -- q15 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, TRUE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | 8 | 1 | 1 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 9 | 16 | 1 | 3 5 | 5 | 4 | 3 | 1 | 4 6 | 6 | 3 | -1 | 0 | 5 (6 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2,3 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | 8 | 1 | 1 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 9 | 16 | 1 | 3 5 | 5 | 4 | 3 | 1 | 4 6 | 6 | 3 | -1 | 0 | 5 (6 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3], TRUE ); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 4 | 1 | 0 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 3 | 9 | 16 | 1 | 3 5 | 5 | 3 | 4 | 3 | 1 | 4 6 | 6 | 3 | 3 | -1 | 0 | 5 (6 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3] ); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 4 | 1 | 0 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 3 | 6 | 9 | 1 | 2 4 | 4 | 3 | 9 | 16 | 1 | 3 5 | 5 | 3 | 4 | 3 | 1 | 4 6 | 6 | 3 | 3 | -1 | 0 | 5 (6 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2], ARRAY[3], TRUE ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 4 | 1 | 0 2 | 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 2 | 3 | 6 | 9 | 1 | 2 4 | 4 | 2 | 3 | 9 | 16 | 1 | 3 5 | 5 | 2 | 3 | 4 | 3 | 1 | 4 6 | 6 | 2 | 3 | 3 | -1 | 0 | 5 (6 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2], ARRAY[3] ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 4 | 1 | 0 2 | 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 2 | 3 | 6 | 9 | 1 | 2 4 | 4 | 2 | 3 | 9 | 16 | 1 | 3 5 | 5 | 2 | 3 | 4 | 3 | 1 | 4 6 | 6 | 2 | 3 | 3 | -1 | 0 | 5 (6 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM (VALUES(2, 3)) AS combinations (source, target)' ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 4 | 1 | 0 2 | 2 | 2 | 3 | 5 | 8 | 1 | 1 3 | 3 | 2 | 3 | 6 | 9 | 1 | 2 4 | 4 | 2 | 3 | 9 | 16 | 1 | 3 5 | 5 | 2 | 3 | 4 | 3 | 1 | 4 6 | 6 | 2 | 3 | 3 | -1 | 0 | 5 (6 rows) /* -- q16 */ /* -- q17 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, FALSE ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 2 | 1 | 0 2 | 2 | 3 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3], FALSE ); seq | path_seq | end_vid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 2 | 1 | 0 2 | 2 | 3 | 3 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2], 3, FALSE ); seq | path_seq | start_vid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | 2 | 2 | 2 | 1 | 0 2 | 2 | 2 | 3 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2], ARRAY[3], FALSE ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 2 | 1 | 0 2 | 2 | 2 | 3 | 3 | -1 | 0 | 1 (2 rows) SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM (VALUES(2, 3)) AS combinations (source, target)', FALSE ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 3 | 2 | 2 | 1 | 0 2 | 2 | 2 | 3 | 3 | -1 | 0 | 1 (2 rows) /* -- q18 */ /* -- q19 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM combinations_table', FALSE ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 1 | 2 | 1 | 1 | 1 | 0 2 | 2 | 1 | 2 | 2 | -1 | 0 | 1 3 | 1 | 1 | 4 | 1 | 1 | 1 | 0 4 | 2 | 1 | 4 | 2 | 2 | 1 | 1 5 | 3 | 1 | 4 | 3 | 3 | 1 | 2 6 | 4 | 1 | 4 | 4 | -1 | 0 | 3 7 | 1 | 2 | 1 | 2 | 1 | 1 | 0 8 | 2 | 2 | 1 | 1 | -1 | 0 | 1 9 | 1 | 2 | 4 | 2 | 2 | 1 | 0 10 | 2 | 2 | 4 | 3 | 3 | 1 | 1 11 | 3 | 2 | 4 | 4 | -1 | 0 | 2 (11 rows) /* -- q20 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/dijkstra/doc-pgr_dijkstra.test.sql000066400000000000000000000164711414350551100244460ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3 ); /* -- q2 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, FALSE ); /* -- q3 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 2, ARRAY[3,5], FALSE ); /* -- q4 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], 5 ); /* -- q5 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], ARRAY[3,5], FALSE ); /* -- q6 */ -- Examples for :ref:`fig1-direct-Cost-Reverse` ------------------------------------------------------------------------------- /* -- q7 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3 ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 5 ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3,5] ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 11, 3 ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 11, 5 ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], 5 ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2, 11], ARRAY[3,5] ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM (VALUES (2, 3), (2, 5), (11, 3), (11, 5)) AS combinations (source, target)' ); /* -- q8 */ -- Examples for :ref:`fig2-undirect-Cost-Reverse` ------------------------------------------------------------------------------- /* -- q9 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 5, FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 11, 3, FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 11, 5, FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2,11], 5, FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3,5], FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2, 11], ARRAY[3,5], FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM (VALUES (2, 3), (2, 5), (11, 3), (11, 5)) AS combinations (source, target)', FALSE ); /* -- q10 */ -- Examples for :ref:`fig3-direct-Cost` ------------------------------------------------------------------------------- /* -- q11 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 2, 3 ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 2, 5 ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 11, 3 ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 11, 5 ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', ARRAY[2,11], 5 ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 2, ARRAY[3,5] ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', ARRAY[2, 11], ARRAY[3,5] ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 'SELECT * FROM (VALUES (2, 3), (2, 5), (11, 3), (11, 5)) AS combinations (source, target)' ); /* -- q12 */ -- Examples for :ref:`fig4-undirect-Cost` ------------------------------------------------------------------------------- /* -- q13 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 2, 3, FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 2, 5, FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 11, 3, FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 11, 5, FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', ARRAY[2,11], 5, FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 2, ARRAY[3,5], FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', ARRAY[2, 11], ARRAY[3,5], FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost FROM edge_table', 'SELECT * FROM (VALUES (2, 3), (2, 5), (11, 3), (11, 5)) AS combinations (source, target)', FALSE ); /* -- q14 */ -- Equivalences for :ref:`fig1-direct-Cost-Reverse` ------------------------------------------------------------------------------- /* -- q15 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, TRUE -- directed flag ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2,3 ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3], TRUE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3] ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2], ARRAY[3], TRUE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2], ARRAY[3] ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM (VALUES(2, 3)) AS combinations (source, target)' ); /* -- q16 */ -- Equivalences for :ref:`fig2-undirect-Cost-Reverse` ------------------------------------------------------------------------------- /* -- q17 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, FALSE -- directed flag ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3], FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2], 3, FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[2], ARRAY[3], FALSE ); SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM (VALUES(2, 3)) AS combinations (source, target)', FALSE ); /* -- q18 */ -- pgr_dijkstra combinations SQL ------------------------------------------------------------------------------- /* -- q19 */ SELECT * FROM pgr_dijkstra( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM combinations_table', FALSE ); /* -- q20 */ pgrouting-3.3.0/docqueries/dijkstra/doc-pgr_dijkstraCost.result000066400000000000000000000060451414350551100250340ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_dijkstraCost( 'select id, source, target, cost, reverse_cost from edge_table', 2, 3); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 5 (1 row) /* -- q2 */ SELECT * FROM pgr_dijkstraCost( 'select id, source, target, cost, reverse_cost from edge_table', 2, 3, false); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 1 (1 row) /* -- q3 */ SELECT * FROM pgr_dijkstraCost( 'select id, source, target, cost, reverse_cost from edge_table', ARRAY[2, 7], 3); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 5 7 | 3 | 6 (2 rows) /* -- q4 */ SELECT * FROM pgr_dijkstraCost( 'select id, source, target, cost, reverse_cost from edge_table', 2, ARRAY[3, 11]); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 5 2 | 11 | 3 (2 rows) /* -- q5 */ SELECT * FROM pgr_dijkstraCost( 'select id, source, target, cost, reverse_cost from edge_table', ARRAY[2, 7], ARRAY[3, 11]); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 5 2 | 11 | 3 7 | 3 | 6 7 | 11 | 4 (4 rows) /* -- q6 */ SELECT * FROM pgr_dijkstraCost( 'select id, source, target, cost, reverse_cost from edge_table', ARRAY[5, 3, 4, 3, 3, 4], ARRAY[3, 5, 3, 4]); start_vid | end_vid | agg_cost -----------+---------+---------- 3 | 4 | 3 3 | 5 | 2 4 | 3 | 1 4 | 5 | 3 5 | 3 | 4 5 | 4 | 3 (6 rows) /* -- q7 */ SELECT * FROM pgr_dijkstraCost( 'select id, source, target, cost, reverse_cost from edge_table', ARRAY[5, 3, 4], ARRAY[5, 3, 4]); start_vid | end_vid | agg_cost -----------+---------+---------- 3 | 4 | 3 3 | 5 | 2 4 | 3 | 1 4 | 5 | 3 5 | 3 | 4 5 | 4 | 3 (6 rows) /* -- q8 */ SELECT * FROM pgr_dijkstraCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT source, target FROM combinations_table', FALSE ); start_vid | end_vid | agg_cost -----------+---------+---------- 1 | 2 | 1 1 | 4 | 3 2 | 1 | 1 2 | 4 | 2 (4 rows) /* -- q9 */ SELECT * FROM pgr_dijkstraCost( 'SELECT id, source, target, cost FROM edge_table', 'SELECT * FROM (VALUES (2, 3), (2, 5), (11, 3), (11, 5)) AS combinations (source, target)', FALSE ); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 3 2 | 5 | 1 11 | 3 | 2 11 | 5 | 2 (4 rows) /* -- q10 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/dijkstra/doc-pgr_dijkstraCost.test.sql000066400000000000000000000027721414350551100252760ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_dijkstraCost( 'select id, source, target, cost, reverse_cost from edge_table', 2, 3); /* -- q2 */ SELECT * FROM pgr_dijkstraCost( 'select id, source, target, cost, reverse_cost from edge_table', 2, 3, false); /* -- q3 */ SELECT * FROM pgr_dijkstraCost( 'select id, source, target, cost, reverse_cost from edge_table', ARRAY[2, 7], 3); /* -- q4 */ SELECT * FROM pgr_dijkstraCost( 'select id, source, target, cost, reverse_cost from edge_table', 2, ARRAY[3, 11]); /* -- q5 */ SELECT * FROM pgr_dijkstraCost( 'select id, source, target, cost, reverse_cost from edge_table', ARRAY[2, 7], ARRAY[3, 11]); /* -- q6 */ SELECT * FROM pgr_dijkstraCost( 'select id, source, target, cost, reverse_cost from edge_table', ARRAY[5, 3, 4, 3, 3, 4], ARRAY[3, 5, 3, 4]); /* -- q7 */ SELECT * FROM pgr_dijkstraCost( 'select id, source, target, cost, reverse_cost from edge_table', ARRAY[5, 3, 4], ARRAY[5, 3, 4]); -- pgr_dijkstra combinations SQL ------------------------------------------------------------------------------- /* -- q8 */ SELECT * FROM pgr_dijkstraCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT source, target FROM combinations_table', FALSE ); /* -- q9 */ SELECT * FROM pgr_dijkstraCost( 'SELECT id, source, target, cost FROM edge_table', 'SELECT * FROM (VALUES (2, 3), (2, 5), (11, 3), (11, 5)) AS combinations (source, target)', FALSE ); /* -- q10 */ pgrouting-3.3.0/docqueries/dijkstra/doc-pgr_dijkstraCostMatrix.result000066400000000000000000000036721414350551100262240ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SET client_min_messages TO WARNING; SET /* -- dijkstra q1 */ SELECT * FROM pgr_dijkstraCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5) ); start_vid | end_vid | agg_cost -----------+---------+---------- 1 | 2 | 1 1 | 3 | 6 1 | 4 | 5 2 | 1 | 1 2 | 3 | 5 2 | 4 | 4 3 | 1 | 2 3 | 2 | 1 3 | 4 | 3 4 | 1 | 3 4 | 2 | 2 4 | 3 | 1 (12 rows) /* -- dijkstra q2 */ SELECT * FROM pgr_dijkstraCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5), false ); start_vid | end_vid | agg_cost -----------+---------+---------- 1 | 2 | 1 1 | 3 | 2 1 | 4 | 3 2 | 1 | 1 2 | 3 | 1 2 | 4 | 2 3 | 1 | 2 3 | 2 | 1 3 | 4 | 1 4 | 1 | 3 4 | 2 | 2 4 | 3 | 1 (12 rows) /* -- dijkstra q3 */ SELECT * FROM pgr_TSP( $$ SELECT * FROM pgr_dijkstraCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5), false ) $$, randomize := false ); seq | node | cost | agg_cost -----+------+------+---------- 1 | 1 | 0 | 0 2 | 2 | 1 | 1 3 | 3 | 1 | 2 4 | 4 | 1 | 3 5 | 1 | 3 | 6 (5 rows) /* -- dijkstra q4 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/dijkstra/doc-pgr_dijkstraCostMatrix.test.sql000066400000000000000000000014701414350551100264550ustar00rootroot00000000000000SET client_min_messages TO WARNING; ------------------------ -- dijkstra ------------------------ /* -- dijkstra q1 */ SELECT * FROM pgr_dijkstraCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5) ); /* -- dijkstra q2 */ SELECT * FROM pgr_dijkstraCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5), false ); /* -- dijkstra q3 */ SELECT * FROM pgr_TSP( $$ SELECT * FROM pgr_dijkstraCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 5), false ) $$, randomize := false ); /* -- dijkstra q4 */ pgrouting-3.3.0/docqueries/dijkstra/doc-pgr_dijkstraNear.result000066400000000000000000000061461414350551100250130ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_dijkstraNear( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3, 6, 7] ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2 | 6 | 2 | 4 | 1 | 0 2 | 2 | 2 | 6 | 5 | 8 | 1 | 1 3 | 3 | 2 | 6 | 6 | -1 | 0 | 2 (3 rows) /* -- q2 */ SELECT * FROM pgr_dijkstraNear( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[3, 6, 7], 2, true, cap => 2 ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 3 | 2 | 3 | 2 | 1 | 0 2 | 2 | 3 | 2 | 2 | -1 | 0 | 1 3 | 1 | 6 | 2 | 6 | 8 | 1 | 0 4 | 2 | 6 | 2 | 5 | 4 | 1 | 1 5 | 3 | 6 | 2 | 2 | -1 | 0 | 2 (5 rows) /* -- q3 */ SELECT * FROM pgr_dijkstraNear( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[4, 9], ARRAY[3, 6, 7], directed => false ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 4 | 3 | 4 | 3 | 1 | 0 2 | 2 | 4 | 3 | 3 | -1 | 0 | 1 (2 rows) /* -- q4 */ SELECT * FROM pgr_dijkstraNear( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT unnest(ARRAY[3, 6, 7]) as source, target FROM (SELECT unnest(ARRAY[4, 9]) AS target) a UNION SELECT unnest(ARRAY[4, 9]), target FROM (SELECT unnest(ARRAY[3, 6, 7]) AS target) b', global => false ); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 4 | 3 | 4 | 3 | 1 | 0 2 | 2 | 4 | 3 | 3 | -1 | 0 | 1 3 | 1 | 6 | 9 | 6 | 9 | 1 | 0 4 | 2 | 6 | 9 | 9 | -1 | 0 | 1 5 | 1 | 9 | 6 | 9 | 9 | 1 | 0 6 | 2 | 9 | 6 | 6 | -1 | 0 | 1 7 | 1 | 3 | 9 | 3 | 5 | 1 | 0 8 | 2 | 3 | 9 | 6 | 9 | 1 | 1 9 | 3 | 3 | 9 | 9 | -1 | 0 | 2 10 | 1 | 7 | 9 | 7 | 6 | 1 | 0 11 | 2 | 7 | 9 | 8 | 7 | 1 | 1 12 | 3 | 7 | 9 | 5 | 8 | 1 | 2 13 | 4 | 7 | 9 | 6 | 9 | 1 | 3 14 | 5 | 7 | 9 | 9 | -1 | 0 | 4 (14 rows) /* -- q5 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/dijkstra/doc-pgr_dijkstraNear.test.sql000066400000000000000000000014641414350551100252500ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_dijkstraNear( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3, 6, 7] ); /* -- q2 */ SELECT * FROM pgr_dijkstraNear( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[3, 6, 7], 2, true, cap => 2 ); /* -- q3 */ SELECT * FROM pgr_dijkstraNear( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[4, 9], ARRAY[3, 6, 7], directed => false ); /* -- q4 */ SELECT * FROM pgr_dijkstraNear( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT unnest(ARRAY[3, 6, 7]) as source, target FROM (SELECT unnest(ARRAY[4, 9]) AS target) a UNION SELECT unnest(ARRAY[4, 9]), target FROM (SELECT unnest(ARRAY[3, 6, 7]) AS target) b', global => false ); /* -- q5 */ pgrouting-3.3.0/docqueries/dijkstra/doc-pgr_dijkstraNearCost.result000066400000000000000000000027231414350551100256410ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_dijkstraNearCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3, 6, 7] ); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 6 | 2 (1 row) /* -- q2 */ SELECT * FROM pgr_dijkstraNearCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[3, 6, 7], 2, true, cap => 2 ); start_vid | end_vid | agg_cost -----------+---------+---------- 3 | 2 | 1 6 | 2 | 2 (2 rows) /* -- q3 */ SELECT * FROM pgr_dijkstraNearCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[4, 9], ARRAY[3, 6, 7], directed => false ); start_vid | end_vid | agg_cost -----------+---------+---------- 4 | 3 | 1 (1 row) /* -- q4 */ SELECT * FROM pgr_dijkstraNearCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT unnest(ARRAY[3, 6, 7]) as source, target FROM (SELECT unnest(ARRAY[4, 9]) AS target) a UNION SELECT unnest(ARRAY[4, 9]), target FROM (SELECT unnest(ARRAY[3, 6, 7]) AS target) b', global => false ); start_vid | end_vid | agg_cost -----------+---------+---------- 4 | 3 | 1 6 | 9 | 1 9 | 6 | 1 3 | 9 | 2 7 | 9 | 4 (5 rows) /* -- q5 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/dijkstra/doc-pgr_dijkstraNearCost.test.sql000066400000000000000000000015041414350551100260740ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_dijkstraNearCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, ARRAY[3, 6, 7] ); /* -- q2 */ SELECT * FROM pgr_dijkstraNearCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[3, 6, 7], 2, true, cap => 2 ); /* -- q3 */ SELECT * FROM pgr_dijkstraNearCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[4, 9], ARRAY[3, 6, 7], directed => false ); /* -- q4 */ SELECT * FROM pgr_dijkstraNearCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT unnest(ARRAY[3, 6, 7]) as source, target FROM (SELECT unnest(ARRAY[4, 9]) AS target) a UNION SELECT unnest(ARRAY[4, 9]), target FROM (SELECT unnest(ARRAY[3, 6, 7]) AS target) b', global => false ); /* -- q5 */ pgrouting-3.3.0/docqueries/dijkstra/doc-pgr_dijkstraVia.result000066400000000000000000000132531414350551100246420ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q00 */ SELECT * FROM pgr_dijkstraVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table order by id', ARRAY[1, 3, 9] ); seq | path_id | path_seq | start_vid | end_vid | node | edge | cost | agg_cost | route_agg_cost -----+---------+----------+-----------+---------+------+------+------+----------+---------------- 1 | 1 | 1 | 1 | 3 | 1 | 1 | 1 | 0 | 0 2 | 1 | 2 | 1 | 3 | 2 | 4 | 1 | 1 | 1 3 | 1 | 3 | 1 | 3 | 5 | 8 | 1 | 2 | 2 4 | 1 | 4 | 1 | 3 | 6 | 9 | 1 | 3 | 3 5 | 1 | 5 | 1 | 3 | 9 | 16 | 1 | 4 | 4 6 | 1 | 6 | 1 | 3 | 4 | 3 | 1 | 5 | 5 7 | 1 | 7 | 1 | 3 | 3 | -1 | 0 | 6 | 6 8 | 2 | 1 | 3 | 9 | 3 | 5 | 1 | 0 | 6 9 | 2 | 2 | 3 | 9 | 6 | 9 | 1 | 1 | 7 10 | 2 | 3 | 3 | 9 | 9 | -2 | 0 | 2 | 8 (10 rows) /* -- q0 */ SELECT * FROM pgr_dijkstraVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table order by id', ARRAY[1, 3, 9], false, strict:=true, U_turn_on_edge:=false ); seq | path_id | path_seq | start_vid | end_vid | node | edge | cost | agg_cost | route_agg_cost -----+---------+----------+-----------+---------+------+------+------+----------+---------------- 1 | 1 | 1 | 1 | 3 | 1 | 1 | 1 | 0 | 0 2 | 1 | 2 | 1 | 3 | 2 | 2 | 1 | 1 | 1 3 | 1 | 3 | 1 | 3 | 3 | -1 | 0 | 2 | 2 4 | 2 | 1 | 3 | 9 | 3 | 3 | 1 | 0 | 2 5 | 2 | 2 | 3 | 9 | 4 | 16 | 1 | 1 | 3 6 | 2 | 3 | 3 | 9 | 9 | -2 | 0 | 2 | 4 (6 rows) /* -- q1 */ SELECT * FROM pgr_dijkstraVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table order by id', ARRAY[1, 5, 3, 9, 4] ); seq | path_id | path_seq | start_vid | end_vid | node | edge | cost | agg_cost | route_agg_cost -----+---------+----------+-----------+---------+------+------+------+----------+---------------- 1 | 1 | 1 | 1 | 5 | 1 | 1 | 1 | 0 | 0 2 | 1 | 2 | 1 | 5 | 2 | 4 | 1 | 1 | 1 3 | 1 | 3 | 1 | 5 | 5 | -1 | 0 | 2 | 2 4 | 2 | 1 | 5 | 3 | 5 | 8 | 1 | 0 | 2 5 | 2 | 2 | 5 | 3 | 6 | 9 | 1 | 1 | 3 6 | 2 | 3 | 5 | 3 | 9 | 16 | 1 | 2 | 4 7 | 2 | 4 | 5 | 3 | 4 | 3 | 1 | 3 | 5 8 | 2 | 5 | 5 | 3 | 3 | -1 | 0 | 4 | 6 9 | 3 | 1 | 3 | 9 | 3 | 5 | 1 | 0 | 6 10 | 3 | 2 | 3 | 9 | 6 | 9 | 1 | 1 | 7 11 | 3 | 3 | 3 | 9 | 9 | -1 | 0 | 2 | 8 12 | 4 | 1 | 9 | 4 | 9 | 16 | 1 | 0 | 8 13 | 4 | 2 | 9 | 4 | 4 | -2 | 0 | 1 | 9 (13 rows) /* -- q2 */ SELECT agg_cost FROM pgr_dijkstraVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table order by id', ARRAY[1, 5, 3, 9, 4] ) WHERE path_id = 3 AND edge <0; agg_cost ---------- 2 (1 row) /* -- q3 */ SELECT route_agg_cost FROM pgr_dijkstraVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table order by id', ARRAY[1, 5, 3, 9, 4] ) WHERE path_id = 3 AND edge < 0; route_agg_cost ---------------- 8 (1 row) /* -- q4 */ SELECT row_number() over () as node_seq, node FROM pgr_dijkstraVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table order by id', ARRAY[1, 5, 3, 9, 4] ) WHERE edge <> -1 ORDER BY seq; node_seq | node ----------+------ 1 | 1 2 | 2 3 | 5 4 | 6 5 | 9 6 | 4 7 | 3 8 | 6 9 | 9 10 | 4 (10 rows) /* -- q5 */ SELECT path_id, route_agg_cost FROM pgr_dijkstraVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table order by id', ARRAY[1, 5, 3, 9, 4] ) WHERE edge < 0; path_id | route_agg_cost ---------+---------------- 1 | 2 2 | 6 3 | 8 4 | 9 (4 rows) /* -- q6 */ SELECT seq, route_agg_cost, node, agg_cost , CASE WHEN edge = -1 THEN 'visits' ELSE 'passes in front' END as status FROM pgr_dijkstraVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table order by id', ARRAY[1, 5, 3, 9, 4]) WHERE node = 9 and (agg_cost <> 0 or seq = 1); seq | route_agg_cost | node | agg_cost | status -----+----------------+------+----------+----------------- 6 | 4 | 9 | 2 | passes in front 11 | 8 | 9 | 2 | visits (2 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/dijkstra/doc-pgr_dijkstraVia.test.sql000066400000000000000000000031341414350551100250760ustar00rootroot00000000000000-- documentation queries /* -- q00 */ SELECT * FROM pgr_dijkstraVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table order by id', ARRAY[1, 3, 9] ); /* -- q0 */ SELECT * FROM pgr_dijkstraVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table order by id', ARRAY[1, 3, 9], false, strict:=true, U_turn_on_edge:=false ); /* -- q1 */ SELECT * FROM pgr_dijkstraVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table order by id', ARRAY[1, 5, 3, 9, 4] ); /* -- q2 */ SELECT agg_cost FROM pgr_dijkstraVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table order by id', ARRAY[1, 5, 3, 9, 4] ) WHERE path_id = 3 AND edge <0; /* -- q3 */ SELECT route_agg_cost FROM pgr_dijkstraVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table order by id', ARRAY[1, 5, 3, 9, 4] ) WHERE path_id = 3 AND edge < 0; /* -- q4 */ SELECT row_number() over () as node_seq, node FROM pgr_dijkstraVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table order by id', ARRAY[1, 5, 3, 9, 4] ) WHERE edge <> -1 ORDER BY seq; /* -- q5 */ SELECT path_id, route_agg_cost FROM pgr_dijkstraVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table order by id', ARRAY[1, 5, 3, 9, 4] ) WHERE edge < 0; /* -- q6 */ SELECT seq, route_agg_cost, node, agg_cost , CASE WHEN edge = -1 THEN 'visits' ELSE 'passes in front' END as status FROM pgr_dijkstraVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table order by id', ARRAY[1, 5, 3, 9, 4]) WHERE node = 9 and (agg_cost <> 0 or seq = 1); pgrouting-3.3.0/docqueries/dijkstra/test.conf000066400000000000000000000013741414350551100213430ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'Dijkstra test for any versions.', 'data' => [ ], 'tests' => [qw( doc-pgr_dijkstra doc-pgr_dijkstraVia doc-pgr_dijkstraCost doc-pgr_dijkstraCostMatrix doc-pgr_dijkstraNear )], 'documentation' => [qw( doc-pgr_dijkstra doc-pgr_dijkstraVia doc-pgr_dijkstraCost doc-pgr_dijkstraCostMatrix doc-pgr_dijkstraNear )] ,'notests' => [qw( )] }, # 'vpg-vpgis' => {}, # for version specific tests # '8-1' => {}, # for pg 8.x and postgis 1.x # '9.2-2.1' => {}, # for pg 9.2 and postgis 2.1 ); 1; pgrouting-3.3.0/docqueries/dominator/000077500000000000000000000000001414350551100176715ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/dominator/CMakeLists.txt000066400000000000000000000005521414350551100224330ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-lengauerTarjanDominatorTree ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/dominator/doc-lengauerTarjanDominatorTree.result000066400000000000000000000024151414350551100273350ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* --q1 */ SELECT * FROM pgr_lengauertarjandominatortree( $$SELECT id,source,target,cost,reverse_cost FROM edge_table$$, 1 ); seq | vertex_id | idom -----+-----------+------ 1 | 1 | 0 2 | 2 | 1 3 | 3 | 4 4 | 4 | 9 5 | 5 | 2 6 | 6 | 5 7 | 7 | 8 8 | 8 | 5 9 | 9 | 5 10 | 10 | 5 11 | 11 | 5 12 | 12 | 5 13 | 13 | 10 14 | 14 | 0 15 | 15 | 0 16 | 16 | 0 17 | 17 | 0 (17 rows) /* --q2 */ SELECT * FROM pgr_lengauertarjandominatortree( $$SELECT id,source,target,cost,reverse_cost FROM edge_table$$, 16 ); seq | vertex_id | idom -----+-----------+------ 1 | 1 | 0 2 | 2 | 0 3 | 3 | 0 4 | 4 | 0 5 | 5 | 0 6 | 6 | 0 7 | 7 | 0 8 | 8 | 0 9 | 9 | 0 10 | 10 | 0 11 | 11 | 0 12 | 12 | 0 13 | 13 | 0 14 | 14 | 0 15 | 15 | 0 16 | 16 | 0 17 | 17 | 16 (17 rows) /* --q3 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/dominator/doc-lengauerTarjanDominatorTree.test.sql000066400000000000000000000004361414350551100275750ustar00rootroot00000000000000/* --q1 */ SELECT * FROM pgr_lengauertarjandominatortree( $$SELECT id,source,target,cost,reverse_cost FROM edge_table$$, 1 ); /* --q2 */ SELECT * FROM pgr_lengauertarjandominatortree( $$SELECT id,source,target,cost,reverse_cost FROM edge_table$$, 16 ); /* --q3 */ pgrouting-3.3.0/docqueries/dominator/test.conf000066400000000000000000000004731414350551100215230ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'dominator algorithm tests', 'data' => [ ], 'tests' => [qw( doc-lengauerTarjanDominatorTree )], 'documentation' => [qw( doc-lengauerTarjanDominatorTree )] }, ); 1; pgrouting-3.3.0/docqueries/driving_distance/000077500000000000000000000000001414350551100212115ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/driving_distance/CMakeLists.txt000066400000000000000000000005421414350551100237520ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_drivingDistance ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/driving_distance/dijksraDD-issue729.result000066400000000000000000000035711414350551100257060ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET ALTER TABLE edge_table DROP COLUMN IF EXISTS node_count, ADD COLUMN node_count INTEGER; NOTICE: column "node_count" of relation "edge_table" does not exist, skipping ALTER TABLE UPDATE edge_table AS edge_table SET node_count=count.sum FROM (SELECT from_v, sum(node) AS sum FROM pgr_drivingDistance( 'SELECT id, source, target, ST_Length(the_geom) AS cost FROM edge_table', ARRAY(SELECT DISTINCT source FROM edge_table), 1, false) GROUP BY from_v) AS count WHERE edge_table.source=count.from_v ; UPDATE 18 ALTER TABLE edge_table DROP COLUMN IF EXISTS another_column, ADD COLUMN another_column INTEGER; NOTICE: column "another_column" of relation "edge_table" does not exist, skipping ALTER TABLE DROP TABLE IF EXISTS network; NOTICE: table "network" does not exist, skipping DROP TABLE CREATE TABLE network AS SELECT * from ( VALUES (1::int, 1::int, 2::int, 100::int), (2::int, 2::int, 3::int, 100::int), (3::int, 3::int, 4::int, 100::int), (4::int, 5::int, 6::int, 100::int) ) as t (id, source,target,cost); SELECT 4 ALTER TABLE network DROP COLUMN IF EXISTS node_count, ADD COLUMN node_count INTEGER; NOTICE: column "node_count" of relation "network" does not exist, skipping ALTER TABLE UPDATE network AS network SET node_count=count.sum FROM (SELECT from_v, sum(node) AS sum FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM network', ARRAY(SELECT DISTINCT source FROM network), 1, false) GROUP BY from_v) AS count WHERE network.source=count.from_v ; UPDATE 4 ALTER TABLE network DROP COLUMN IF EXISTS another_column, ADD COLUMN another_column INTEGER; NOTICE: column "another_column" of relation "network" does not exist, skipping ALTER TABLE ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/driving_distance/dijksraDD-issue729.test.sql000066400000000000000000000025641414350551100261460ustar00rootroot00000000000000ALTER TABLE edge_table DROP COLUMN IF EXISTS node_count, ADD COLUMN node_count INTEGER; UPDATE edge_table AS edge_table SET node_count=count.sum FROM (SELECT from_v, sum(node) AS sum FROM pgr_drivingDistance( 'SELECT id, source, target, ST_Length(the_geom) AS cost FROM edge_table', ARRAY(SELECT DISTINCT source FROM edge_table), 1, false) GROUP BY from_v) AS count WHERE edge_table.source=count.from_v ; ALTER TABLE edge_table DROP COLUMN IF EXISTS another_column, ADD COLUMN another_column INTEGER; DROP TABLE IF EXISTS network; CREATE TABLE network AS SELECT * from ( VALUES (1::int, 1::int, 2::int, 100::int), (2::int, 2::int, 3::int, 100::int), (3::int, 3::int, 4::int, 100::int), (4::int, 5::int, 6::int, 100::int) ) as t (id, source,target,cost); ALTER TABLE network DROP COLUMN IF EXISTS node_count, ADD COLUMN node_count INTEGER; UPDATE network AS network SET node_count=count.sum FROM (SELECT from_v, sum(node) AS sum FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM network', ARRAY(SELECT DISTINCT source FROM network), 1, false) GROUP BY from_v) AS count WHERE network.source=count.from_v ; ALTER TABLE network DROP COLUMN IF EXISTS another_column, ADD COLUMN another_column INTEGER; pgrouting-3.3.0/docqueries/driving_distance/doc-pgr_drivingDistance.result000066400000000000000000000256571414350551100272200ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* --q1 */ SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3 ); seq | node | edge | cost | agg_cost -----+------+------+------+---------- 1 | 2 | -1 | 0 | 0 2 | 1 | 1 | 1 | 1 3 | 5 | 4 | 1 | 1 4 | 6 | 8 | 1 | 2 5 | 8 | 7 | 1 | 2 6 | 10 | 10 | 1 | 2 7 | 7 | 6 | 1 | 3 8 | 9 | 9 | 1 | 3 9 | 11 | 12 | 1 | 3 10 | 13 | 14 | 1 | 3 (10 rows) SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 13, 3 ); seq | node | edge | cost | agg_cost -----+------+------+------+---------- 1 | 13 | -1 | 0 | 0 2 | 10 | 14 | 1 | 1 3 | 5 | 10 | 1 | 2 4 | 11 | 12 | 1 | 2 5 | 2 | 4 | 1 | 3 6 | 6 | 8 | 1 | 3 7 | 8 | 7 | 1 | 3 8 | 12 | 13 | 1 | 3 (8 rows) SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', array[2,13], 3 ); seq | from_v | node | edge | cost | agg_cost -----+--------+------+------+------+---------- 1 | 2 | 2 | -1 | 0 | 0 2 | 2 | 1 | 1 | 1 | 1 3 | 2 | 5 | 4 | 1 | 1 4 | 2 | 6 | 8 | 1 | 2 5 | 2 | 8 | 7 | 1 | 2 6 | 2 | 10 | 10 | 1 | 2 7 | 2 | 7 | 6 | 1 | 3 8 | 2 | 9 | 9 | 1 | 3 9 | 2 | 11 | 12 | 1 | 3 10 | 2 | 13 | 14 | 1 | 3 11 | 13 | 13 | -1 | 0 | 0 12 | 13 | 10 | 14 | 1 | 1 13 | 13 | 5 | 10 | 1 | 2 14 | 13 | 11 | 12 | 1 | 2 15 | 13 | 2 | 4 | 1 | 3 16 | 13 | 6 | 8 | 1 | 3 17 | 13 | 8 | 7 | 1 | 3 18 | 13 | 12 | 13 | 1 | 3 (18 rows) SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', array[2,13], 3, equicost:=true ); seq | from_v | node | edge | cost | agg_cost -----+--------+------+------+------+---------- 1 | 2 | 2 | -1 | 0 | 0 2 | 2 | 1 | 1 | 1 | 1 3 | 2 | 5 | 4 | 1 | 1 4 | 2 | 6 | 8 | 1 | 2 5 | 2 | 8 | 7 | 1 | 2 6 | 2 | 7 | 6 | 1 | 3 7 | 2 | 9 | 9 | 1 | 3 8 | 13 | 13 | -1 | 0 | 0 9 | 13 | 10 | 14 | 1 | 1 10 | 13 | 11 | 12 | 1 | 2 11 | 13 | 12 | 13 | 1 | 3 (11 rows) /* --q2 */ SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, false ); seq | node | edge | cost | agg_cost -----+------+------+------+---------- 1 | 2 | -1 | 0 | 0 2 | 1 | 1 | 1 | 1 3 | 3 | 2 | 1 | 1 4 | 5 | 4 | 1 | 1 5 | 4 | 3 | 1 | 2 6 | 6 | 8 | 1 | 2 7 | 8 | 7 | 1 | 2 8 | 10 | 10 | 1 | 2 9 | 7 | 6 | 1 | 3 10 | 9 | 16 | 1 | 3 11 | 11 | 12 | 1 | 3 12 | 13 | 14 | 1 | 3 (12 rows) SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 13, 3, false ); seq | node | edge | cost | agg_cost -----+------+------+------+---------- 1 | 13 | -1 | 0 | 0 2 | 10 | 14 | 1 | 1 3 | 5 | 10 | 1 | 2 4 | 11 | 12 | 1 | 2 5 | 2 | 4 | 1 | 3 6 | 6 | 8 | 1 | 3 7 | 8 | 7 | 1 | 3 8 | 12 | 13 | 1 | 3 (8 rows) SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', array[2,13], 3, false ); seq | from_v | node | edge | cost | agg_cost -----+--------+------+------+------+---------- 1 | 2 | 2 | -1 | 0 | 0 2 | 2 | 1 | 1 | 1 | 1 3 | 2 | 3 | 2 | 1 | 1 4 | 2 | 5 | 4 | 1 | 1 5 | 2 | 4 | 3 | 1 | 2 6 | 2 | 6 | 8 | 1 | 2 7 | 2 | 8 | 7 | 1 | 2 8 | 2 | 10 | 10 | 1 | 2 9 | 2 | 7 | 6 | 1 | 3 10 | 2 | 9 | 16 | 1 | 3 11 | 2 | 11 | 12 | 1 | 3 12 | 2 | 13 | 14 | 1 | 3 13 | 13 | 13 | -1 | 0 | 0 14 | 13 | 10 | 14 | 1 | 1 15 | 13 | 5 | 10 | 1 | 2 16 | 13 | 11 | 12 | 1 | 2 17 | 13 | 2 | 4 | 1 | 3 18 | 13 | 6 | 8 | 1 | 3 19 | 13 | 8 | 7 | 1 | 3 20 | 13 | 12 | 13 | 1 | 3 (20 rows) SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', array[2,13], 3, false, equicost:=true ); seq | from_v | node | edge | cost | agg_cost -----+--------+------+------+------+---------- 1 | 2 | 2 | -1 | 0 | 0 2 | 2 | 1 | 1 | 1 | 1 3 | 2 | 3 | 2 | 1 | 1 4 | 2 | 5 | 4 | 1 | 1 5 | 2 | 4 | 3 | 1 | 2 6 | 2 | 6 | 8 | 1 | 2 7 | 2 | 8 | 7 | 1 | 2 8 | 2 | 7 | 6 | 1 | 3 9 | 2 | 9 | 16 | 1 | 3 10 | 13 | 13 | -1 | 0 | 0 11 | 13 | 10 | 14 | 1 | 1 12 | 13 | 11 | 12 | 1 | 2 13 | 13 | 12 | 13 | 1 | 3 (13 rows) /* --q3 */ SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM edge_table', 2, 3 ); seq | node | edge | cost | agg_cost -----+------+------+------+---------- 1 | 2 | -1 | 0 | 0 2 | 5 | 4 | 1 | 1 3 | 6 | 8 | 1 | 2 4 | 10 | 10 | 1 | 2 5 | 9 | 9 | 1 | 3 6 | 11 | 11 | 1 | 3 7 | 13 | 14 | 1 | 3 (7 rows) SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM edge_table', 13, 3 ); seq | node | edge | cost | agg_cost -----+------+------+------+---------- 1 | 13 | -1 | 0 | 0 (1 row) SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM edge_table', array[2,13], 3 ); seq | from_v | node | edge | cost | agg_cost -----+--------+------+------+------+---------- 1 | 2 | 2 | -1 | 0 | 0 2 | 2 | 5 | 4 | 1 | 1 3 | 2 | 6 | 8 | 1 | 2 4 | 2 | 10 | 10 | 1 | 2 5 | 2 | 9 | 9 | 1 | 3 6 | 2 | 11 | 11 | 1 | 3 7 | 2 | 13 | 14 | 1 | 3 8 | 13 | 13 | -1 | 0 | 0 (8 rows) SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM edge_table', array[2,13], 3, equicost:=true ); seq | from_v | node | edge | cost | agg_cost -----+--------+------+------+------+---------- 1 | 2 | 2 | -1 | 0 | 0 2 | 2 | 5 | 4 | 1 | 1 3 | 2 | 6 | 8 | 1 | 2 4 | 2 | 10 | 10 | 1 | 2 5 | 2 | 9 | 9 | 1 | 3 6 | 2 | 11 | 11 | 1 | 3 7 | 13 | 13 | -1 | 0 | 0 (7 rows) /* --q4 */ SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM edge_table', 2, 3, false ); seq | node | edge | cost | agg_cost -----+------+------+------+---------- 1 | 2 | -1 | 0 | 0 2 | 1 | 1 | 1 | 1 3 | 5 | 4 | 1 | 1 4 | 6 | 8 | 1 | 2 5 | 8 | 7 | 1 | 2 6 | 10 | 10 | 1 | 2 7 | 3 | 5 | 1 | 3 8 | 7 | 6 | 1 | 3 9 | 9 | 9 | 1 | 3 10 | 11 | 12 | 1 | 3 11 | 13 | 14 | 1 | 3 (11 rows) SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM edge_table', 13, 3, false ); seq | node | edge | cost | agg_cost -----+------+------+------+---------- 1 | 13 | -1 | 0 | 0 2 | 10 | 14 | 1 | 1 3 | 5 | 10 | 1 | 2 4 | 11 | 12 | 1 | 2 5 | 2 | 4 | 1 | 3 6 | 6 | 8 | 1 | 3 7 | 8 | 7 | 1 | 3 8 | 12 | 13 | 1 | 3 (8 rows) SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM edge_table', array[2,13], 3, false ); seq | from_v | node | edge | cost | agg_cost -----+--------+------+------+------+---------- 1 | 2 | 2 | -1 | 0 | 0 2 | 2 | 1 | 1 | 1 | 1 3 | 2 | 5 | 4 | 1 | 1 4 | 2 | 6 | 8 | 1 | 2 5 | 2 | 8 | 7 | 1 | 2 6 | 2 | 10 | 10 | 1 | 2 7 | 2 | 3 | 5 | 1 | 3 8 | 2 | 7 | 6 | 1 | 3 9 | 2 | 9 | 9 | 1 | 3 10 | 2 | 11 | 12 | 1 | 3 11 | 2 | 13 | 14 | 1 | 3 12 | 13 | 13 | -1 | 0 | 0 13 | 13 | 10 | 14 | 1 | 1 14 | 13 | 5 | 10 | 1 | 2 15 | 13 | 11 | 12 | 1 | 2 16 | 13 | 2 | 4 | 1 | 3 17 | 13 | 6 | 8 | 1 | 3 18 | 13 | 8 | 7 | 1 | 3 19 | 13 | 12 | 13 | 1 | 3 (19 rows) SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM edge_table', array[2,13], 3, false, equicost:=true ); seq | from_v | node | edge | cost | agg_cost -----+--------+------+------+------+---------- 1 | 2 | 2 | -1 | 0 | 0 2 | 2 | 1 | 1 | 1 | 1 3 | 2 | 5 | 4 | 1 | 1 4 | 2 | 6 | 8 | 1 | 2 5 | 2 | 8 | 7 | 1 | 2 6 | 2 | 3 | 5 | 1 | 3 7 | 2 | 7 | 6 | 1 | 3 8 | 2 | 9 | 9 | 1 | 3 9 | 13 | 13 | -1 | 0 | 0 10 | 13 | 10 | 14 | 1 | 1 11 | 13 | 11 | 12 | 1 | 2 12 | 13 | 12 | 13 | 1 | 3 (12 rows) /* --q5 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/driving_distance/doc-pgr_drivingDistance.test.sql000066400000000000000000000043071414350551100274440ustar00rootroot00000000000000 /* --q1 */ SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3 ); SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 13, 3 ); SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', array[2,13], 3 ); SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', array[2,13], 3, equicost:=true ); /* --q2 */ SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 3, false ); SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 13, 3, false ); SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', array[2,13], 3, false ); SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', array[2,13], 3, false, equicost:=true ); /* --q3 */ SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM edge_table', 2, 3 ); SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM edge_table', 13, 3 ); SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM edge_table', array[2,13], 3 ); SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM edge_table', array[2,13], 3, equicost:=true ); /* --q4 */ SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM edge_table', 2, 3, false ); SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM edge_table', 13, 3, false ); SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM edge_table', array[2,13], 3, false ); SELECT * FROM pgr_drivingDistance( 'SELECT id, source, target, cost FROM edge_table', array[2,13], 3, false, equicost:=true ); /* --q5 */ pgrouting-3.3.0/docqueries/driving_distance/test.conf000066400000000000000000000007651414350551100230470ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'Driving Distance test for any versions.', 'data' => [], 'tests' => [qw( dijksraDD-issue729 doc-pgr_drivingDistance )], 'documentation' => [qw( doc-pgr_drivingDistance )] }, # 'vpg-vpgis' => {}, # for version specific tests # '8-1' => {}, # for pg 8.x and postgis 1.x # '9.2-2.1' => {}, # for pg 9.2 and postgis 2.1 ); 1; pgrouting-3.3.0/docqueries/ksp/000077500000000000000000000000001414350551100164725ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/ksp/CMakeLists.txt000066400000000000000000000005611414350551100212340ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-ksp doc-pgr_turnRestrictedPath ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/ksp/doc-ksp.result000066400000000000000000000303061414350551100212740ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* --q1 */ SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 12, 2, directed:=true ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 2 | 4 | 1 | 0 2 | 1 | 2 | 5 | 8 | 1 | 1 3 | 1 | 3 | 6 | 9 | 1 | 2 4 | 1 | 4 | 9 | 15 | 1 | 3 5 | 1 | 5 | 12 | -1 | 0 | 4 6 | 2 | 1 | 2 | 4 | 1 | 0 7 | 2 | 2 | 5 | 8 | 1 | 1 8 | 2 | 3 | 6 | 11 | 1 | 2 9 | 2 | 4 | 11 | 13 | 1 | 3 10 | 2 | 5 | 12 | -1 | 0 | 4 (10 rows) SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 12, 2 ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 2 | 4 | 1 | 0 2 | 1 | 2 | 5 | 8 | 1 | 1 3 | 1 | 3 | 6 | 9 | 1 | 2 4 | 1 | 4 | 9 | 15 | 1 | 3 5 | 1 | 5 | 12 | -1 | 0 | 4 6 | 2 | 1 | 2 | 4 | 1 | 0 7 | 2 | 2 | 5 | 8 | 1 | 1 8 | 2 | 3 | 6 | 11 | 1 | 2 9 | 2 | 4 | 11 | 13 | 1 | 3 10 | 2 | 5 | 12 | -1 | 0 | 4 (10 rows) /* --q2 */ SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 12, 2 ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 2 | 4 | 1 | 0 2 | 1 | 2 | 5 | 8 | 1 | 1 3 | 1 | 3 | 6 | 9 | 1 | 2 4 | 1 | 4 | 9 | 15 | 1 | 3 5 | 1 | 5 | 12 | -1 | 0 | 4 6 | 2 | 1 | 2 | 4 | 1 | 0 7 | 2 | 2 | 5 | 8 | 1 | 1 8 | 2 | 3 | 6 | 11 | 1 | 2 9 | 2 | 4 | 11 | 13 | 1 | 3 10 | 2 | 5 | 12 | -1 | 0 | 4 (10 rows) SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 12, 2, heap_paths:=true ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 2 | 4 | 1 | 0 2 | 1 | 2 | 5 | 8 | 1 | 1 3 | 1 | 3 | 6 | 9 | 1 | 2 4 | 1 | 4 | 9 | 15 | 1 | 3 5 | 1 | 5 | 12 | -1 | 0 | 4 6 | 2 | 1 | 2 | 4 | 1 | 0 7 | 2 | 2 | 5 | 8 | 1 | 1 8 | 2 | 3 | 6 | 11 | 1 | 2 9 | 2 | 4 | 11 | 13 | 1 | 3 10 | 2 | 5 | 12 | -1 | 0 | 4 11 | 3 | 1 | 2 | 4 | 1 | 0 12 | 3 | 2 | 5 | 10 | 1 | 1 13 | 3 | 3 | 10 | 12 | 1 | 2 14 | 3 | 4 | 11 | 13 | 1 | 3 15 | 3 | 5 | 12 | -1 | 0 | 4 (15 rows) SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 12, 2, true, true ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 2 | 4 | 1 | 0 2 | 1 | 2 | 5 | 8 | 1 | 1 3 | 1 | 3 | 6 | 9 | 1 | 2 4 | 1 | 4 | 9 | 15 | 1 | 3 5 | 1 | 5 | 12 | -1 | 0 | 4 6 | 2 | 1 | 2 | 4 | 1 | 0 7 | 2 | 2 | 5 | 8 | 1 | 1 8 | 2 | 3 | 6 | 11 | 1 | 2 9 | 2 | 4 | 11 | 13 | 1 | 3 10 | 2 | 5 | 12 | -1 | 0 | 4 11 | 3 | 1 | 2 | 4 | 1 | 0 12 | 3 | 2 | 5 | 10 | 1 | 1 13 | 3 | 3 | 10 | 12 | 1 | 2 14 | 3 | 4 | 11 | 13 | 1 | 3 15 | 3 | 5 | 12 | -1 | 0 | 4 (15 rows) /* --q3 */ SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 12, 2, directed:=false ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 2 | 2 | 1 | 0 2 | 1 | 2 | 3 | 3 | 1 | 1 3 | 1 | 3 | 4 | 16 | 1 | 2 4 | 1 | 4 | 9 | 15 | 1 | 3 5 | 1 | 5 | 12 | -1 | 0 | 4 6 | 2 | 1 | 2 | 4 | 1 | 0 7 | 2 | 2 | 5 | 10 | 1 | 1 8 | 2 | 3 | 10 | 12 | 1 | 2 9 | 2 | 4 | 11 | 13 | 1 | 3 10 | 2 | 5 | 12 | -1 | 0 | 4 (10 rows) SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 12, 2, false, true ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 2 | 2 | 1 | 0 2 | 1 | 2 | 3 | 3 | 1 | 1 3 | 1 | 3 | 4 | 16 | 1 | 2 4 | 1 | 4 | 9 | 15 | 1 | 3 5 | 1 | 5 | 12 | -1 | 0 | 4 6 | 2 | 1 | 2 | 4 | 1 | 0 7 | 2 | 2 | 5 | 8 | 1 | 1 8 | 2 | 3 | 6 | 11 | 1 | 2 9 | 2 | 4 | 11 | 13 | 1 | 3 10 | 2 | 5 | 12 | -1 | 0 | 4 11 | 3 | 1 | 2 | 4 | 1 | 0 12 | 3 | 2 | 5 | 10 | 1 | 1 13 | 3 | 3 | 10 | 12 | 1 | 2 14 | 3 | 4 | 11 | 13 | 1 | 3 15 | 3 | 5 | 12 | -1 | 0 | 4 16 | 4 | 1 | 2 | 4 | 1 | 0 17 | 4 | 2 | 5 | 10 | 1 | 1 18 | 4 | 3 | 10 | 12 | 1 | 2 19 | 4 | 4 | 11 | 11 | 1 | 3 20 | 4 | 5 | 6 | 9 | 1 | 4 21 | 4 | 6 | 9 | 15 | 1 | 5 22 | 4 | 7 | 12 | -1 | 0 | 6 (22 rows) /* --q4 */ SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost FROM edge_table', 2, 3, 2 ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- (0 rows) SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost FROM edge_table', 2, 12, 2 ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 2 | 4 | 1 | 0 2 | 1 | 2 | 5 | 8 | 1 | 1 3 | 1 | 3 | 6 | 9 | 1 | 2 4 | 1 | 4 | 9 | 15 | 1 | 3 5 | 1 | 5 | 12 | -1 | 0 | 4 6 | 2 | 1 | 2 | 4 | 1 | 0 7 | 2 | 2 | 5 | 8 | 1 | 1 8 | 2 | 3 | 6 | 11 | 1 | 2 9 | 2 | 4 | 11 | 13 | 1 | 3 10 | 2 | 5 | 12 | -1 | 0 | 4 (10 rows) SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost FROM edge_table', 2, 12, 2, heap_paths:=true ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 2 | 4 | 1 | 0 2 | 1 | 2 | 5 | 8 | 1 | 1 3 | 1 | 3 | 6 | 9 | 1 | 2 4 | 1 | 4 | 9 | 15 | 1 | 3 5 | 1 | 5 | 12 | -1 | 0 | 4 6 | 2 | 1 | 2 | 4 | 1 | 0 7 | 2 | 2 | 5 | 8 | 1 | 1 8 | 2 | 3 | 6 | 11 | 1 | 2 9 | 2 | 4 | 11 | 13 | 1 | 3 10 | 2 | 5 | 12 | -1 | 0 | 4 11 | 3 | 1 | 2 | 4 | 1 | 0 12 | 3 | 2 | 5 | 10 | 1 | 1 13 | 3 | 3 | 10 | 12 | 1 | 2 14 | 3 | 4 | 11 | 13 | 1 | 3 15 | 3 | 5 | 12 | -1 | 0 | 4 (15 rows) SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost FROM edge_table', 2, 12, 2, true, true ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 2 | 4 | 1 | 0 2 | 1 | 2 | 5 | 8 | 1 | 1 3 | 1 | 3 | 6 | 9 | 1 | 2 4 | 1 | 4 | 9 | 15 | 1 | 3 5 | 1 | 5 | 12 | -1 | 0 | 4 6 | 2 | 1 | 2 | 4 | 1 | 0 7 | 2 | 2 | 5 | 8 | 1 | 1 8 | 2 | 3 | 6 | 11 | 1 | 2 9 | 2 | 4 | 11 | 13 | 1 | 3 10 | 2 | 5 | 12 | -1 | 0 | 4 11 | 3 | 1 | 2 | 4 | 1 | 0 12 | 3 | 2 | 5 | 10 | 1 | 1 13 | 3 | 3 | 10 | 12 | 1 | 2 14 | 3 | 4 | 11 | 13 | 1 | 3 15 | 3 | 5 | 12 | -1 | 0 | 4 (15 rows) /* --q5 */ SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost FROM edge_table', 2, 12, 2, directed:=false ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 2 | 4 | 1 | 0 2 | 1 | 2 | 5 | 8 | 1 | 1 3 | 1 | 3 | 6 | 9 | 1 | 2 4 | 1 | 4 | 9 | 15 | 1 | 3 5 | 1 | 5 | 12 | -1 | 0 | 4 6 | 2 | 1 | 2 | 4 | 1 | 0 7 | 2 | 2 | 5 | 8 | 1 | 1 8 | 2 | 3 | 6 | 11 | 1 | 2 9 | 2 | 4 | 11 | 13 | 1 | 3 10 | 2 | 5 | 12 | -1 | 0 | 4 (10 rows) SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost FROM edge_table', 2, 12, 2, directed:=false, heap_paths:=true ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 2 | 4 | 1 | 0 2 | 1 | 2 | 5 | 8 | 1 | 1 3 | 1 | 3 | 6 | 9 | 1 | 2 4 | 1 | 4 | 9 | 15 | 1 | 3 5 | 1 | 5 | 12 | -1 | 0 | 4 6 | 2 | 1 | 2 | 4 | 1 | 0 7 | 2 | 2 | 5 | 8 | 1 | 1 8 | 2 | 3 | 6 | 11 | 1 | 2 9 | 2 | 4 | 11 | 13 | 1 | 3 10 | 2 | 5 | 12 | -1 | 0 | 4 11 | 3 | 1 | 2 | 4 | 1 | 0 12 | 3 | 2 | 5 | 10 | 1 | 1 13 | 3 | 3 | 10 | 12 | 1 | 2 14 | 3 | 4 | 11 | 13 | 1 | 3 15 | 3 | 5 | 12 | -1 | 0 | 4 (15 rows) /* --q6 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/ksp/doc-ksp.test.sql000066400000000000000000000035641414350551100215410ustar00rootroot00000000000000-------------------------------------------------------------------------------- -- PGR_KSP V3 -------------------------------------------------------------------------------- /* --q1 */ SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 12, 2, directed:=true -- takes the new signature ); SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 12, 2 ); /* --q2 */ SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 12, 2 ); SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 12, 2, heap_paths:=true ); SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 12, 2, true, true ); /* --q3 */ SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 12, 2, directed:=false ); SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 2, 12, 2, false, true ); /* --q4 */ SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost FROM edge_table', 2, 3, 2 ); SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost FROM edge_table', 2, 12, 2 ); SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost FROM edge_table', 2, 12, 2, heap_paths:=true ); SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost FROM edge_table', 2, 12, 2, true, true ); /* --q5 */ SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost FROM edge_table', 2, 12, 2, directed:=false ); SELECT * FROM pgr_KSP( 'SELECT id, source, target, cost FROM edge_table', 2, 12, 2, directed:=false, heap_paths:=true ); /* --q6 */ pgrouting-3.3.0/docqueries/ksp/doc-pgr_turnRestrictedPath.result000066400000000000000000000052461414350551100252120ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM new_restrictions; id | path | cost ----+---------+------ 1 | {4,7} | 100 2 | {8,11} | 100 3 | {4,8} | 100 4 | {5,9} | 100 5 | {10,12} | 100 6 | {9,15} | 100 7 | {3,5,8} | 100 (7 rows) /* -- q2 */ SELECT * FROM pgr_turnRestrictedPath( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM new_restrictions WHERE id < 3', 2, 12, 3 ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 2 | 4 | 1 | 0 2 | 1 | 2 | 5 | 8 | 1 | 1 3 | 1 | 3 | 6 | 9 | 1 | 2 4 | 1 | 4 | 9 | 15 | 1 | 3 5 | 1 | 5 | 12 | -1 | 0 | 4 (5 rows) /* -- q3 */ SELECT * FROM pgr_turnRestrictedPath( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM new_restrictions', 2, 12, 3, heap_paths := true ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 2 | 4 | 1 | 0 2 | 1 | 2 | 5 | 10 | 1 | Infinity 3 | 1 | 3 | 10 | 12 | 1 | 2 4 | 1 | 4 | 11 | 13 | 1 | 3 5 | 1 | 5 | 12 | -1 | 0 | 4 6 | 2 | 1 | 2 | 4 | 1 | Infinity 7 | 2 | 2 | 5 | 8 | 1 | 1 8 | 2 | 3 | 6 | 9 | 1 | Infinity 9 | 2 | 4 | 9 | 15 | 1 | 3 10 | 2 | 5 | 12 | -1 | 0 | 4 11 | 3 | 1 | 2 | 4 | 1 | Infinity 12 | 3 | 2 | 5 | 8 | 1 | Infinity 13 | 3 | 3 | 6 | 11 | 1 | 2 14 | 3 | 4 | 11 | 13 | 1 | 3 15 | 3 | 5 | 12 | -1 | 0 | 4 (15 rows) /* -- q4 */ SELECT * FROM pgr_turnRestrictedPath( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM new_restrictions', 2, 12, 3, false ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 2 | 2 | 1 | 0 2 | 1 | 2 | 3 | 3 | 1 | 1 3 | 1 | 3 | 4 | 16 | 1 | 2 4 | 1 | 4 | 9 | 15 | 1 | 3 5 | 1 | 5 | 12 | -1 | 0 | 4 (5 rows) /* -- q5 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/ksp/doc-pgr_turnRestrictedPath.test.sql000066400000000000000000000011631414350551100254430ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM new_restrictions; /* -- q2 */ SELECT * FROM pgr_turnRestrictedPath( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM new_restrictions WHERE id < 3', 2, 12, 3 ); /* -- q3 */ SELECT * FROM pgr_turnRestrictedPath( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM new_restrictions', 2, 12, 3, heap_paths := true ); /* -- q4 */ SELECT * FROM pgr_turnRestrictedPath( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM new_restrictions', 2, 12, 3, false ); /* -- q5 */ pgrouting-3.3.0/docqueries/ksp/test.conf000066400000000000000000000005041414350551100203170ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'KSP', 'data' => [''], 'tests' => [qw( doc-ksp doc-pgr_turnRestrictedPath )], 'documentation' => [qw( doc-ksp doc-pgr_turnRestrictedPath )] }, ); 1; pgrouting-3.3.0/docqueries/lineGraph/000077500000000000000000000000001414350551100176065ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/lineGraph/CMakeLists.txt000066400000000000000000000005661414350551100223550ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_lineGraphFull doc-pgr_lineGraph ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/lineGraph/doc-pgr_lineGraph.result000066400000000000000000000061511414350551100243750ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_lineGraph( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); seq | source | target | cost | reverse_cost -----+--------+--------+------+-------------- 1 | -18 | 18 | 1 | 1 2 | -17 | 17 | 1 | 1 3 | -16 | -3 | 1 | -1 4 | -16 | 16 | 1 | 1 5 | -15 | -9 | 1 | 1 6 | -15 | 15 | 1 | 1 7 | -14 | -10 | 1 | 1 8 | -14 | 12 | 1 | -1 9 | -14 | 14 | 1 | 1 10 | -10 | -7 | 1 | 1 11 | -10 | -4 | 1 | 1 12 | -10 | 8 | 1 | 1 13 | -10 | 10 | 1 | 1 14 | -9 | -8 | 1 | 1 15 | -9 | 9 | 1 | 1 16 | -9 | 11 | 1 | -1 17 | -8 | -7 | 1 | 1 18 | -8 | -4 | 1 | 1 19 | -8 | 8 | 1 | 1 20 | -7 | -6 | 1 | 1 21 | -6 | 6 | 1 | 1 22 | -4 | -1 | 1 | 1 23 | -4 | 4 | 1 | 1 24 | -3 | -2 | 1 | -1 25 | -3 | 5 | 1 | -1 26 | -2 | -1 | 1 | -1 27 | -2 | 4 | 1 | -1 28 | -1 | 1 | 1 | 1 29 | 5 | -8 | 1 | -1 30 | 5 | 9 | 1 | -1 31 | 5 | 11 | 1 | -1 32 | 7 | -7 | 1 | 1 33 | 7 | -4 | 1 | 1 34 | 8 | 11 | 1 | -1 35 | 10 | 12 | 1 | -1 36 | 11 | 13 | 1 | -1 37 | 12 | 13 | 1 | -1 38 | 13 | -15 | 1 | -1 39 | 16 | -9 | 1 | 1 40 | 16 | 15 | 1 | 1 (40 rows) /* -- q2 */ SELECT * FROM pgr_lineGraph( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', FALSE ); seq | source | target | cost | reverse_cost -----+--------+--------+------+-------------- 1 | -3 | -2 | 1 | -1 2 | -3 | 5 | 1 | -1 3 | -2 | 4 | 1 | -1 4 | 1 | 4 | 1 | -1 5 | 4 | 8 | 1 | -1 6 | 4 | 10 | 1 | -1 7 | 5 | 9 | 1 | -1 8 | 5 | 11 | 1 | -1 9 | 6 | 7 | 1 | -1 10 | 7 | 8 | 1 | -1 11 | 7 | 10 | 1 | -1 12 | 8 | 9 | 1 | -1 13 | 8 | 11 | 1 | -1 14 | 9 | 15 | 1 | -1 15 | 10 | 12 | 1 | -1 16 | 10 | 14 | 1 | -1 17 | 11 | 13 | 1 | -1 18 | 12 | 13 | 1 | -1 19 | 16 | 15 | 1 | -1 (19 rows) /* -- q3 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/lineGraph/doc-pgr_lineGraph.test.sql000066400000000000000000000003711414350551100246320ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_lineGraph( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); /* -- q2 */ SELECT * FROM pgr_lineGraph( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', FALSE ); /* -- q3 */ pgrouting-3.3.0/docqueries/lineGraph/doc-pgr_lineGraphFull.result000066400000000000000000000156621414350551100252270ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_lineGraphFull( 'SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id IN (4,7,8,10)' ); seq | source | target | cost | edge -----+--------+--------+------+------ 1 | -1 | 5 | 1 | 4 2 | 2 | -1 | 0 | 0 3 | -2 | 2 | 1 | -4 4 | -3 | 8 | 1 | -7 5 | -4 | 6 | 1 | 8 6 | -5 | 10 | 1 | 10 7 | 5 | -2 | 0 | 0 8 | 5 | -3 | 0 | 0 9 | 5 | -4 | 0 | 0 10 | 5 | -5 | 0 | 0 11 | -6 | -2 | 0 | 0 12 | -6 | -3 | 0 | 0 13 | -6 | -4 | 0 | 0 14 | -6 | -5 | 0 | 0 15 | -7 | -2 | 0 | 0 16 | -7 | -3 | 0 | 0 17 | -7 | -4 | 0 | 0 18 | -7 | -5 | 0 | 0 19 | -8 | -2 | 0 | 0 20 | -8 | -3 | 0 | 0 21 | -8 | -4 | 0 | 0 22 | -8 | -5 | 0 | 0 23 | -9 | -6 | 1 | 7 24 | 8 | -9 | 0 | 0 25 | -10 | -7 | 1 | -8 26 | 6 | -10 | 0 | 0 27 | -11 | -8 | 1 | -10 28 | 10 | -11 | 0 | 0 (28 rows) /* -- q2 */ CREATE TABLE lineGraph_edges AS SELECT * FROM pgr_lineGraphFull( $$SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id IN (4,7,8,10)$$ ); SELECT 28 CREATE TABLE lineGraph_vertices AS SELECT *, NULL::BIGINT AS original_id FROM (SELECT source AS id FROM lineGraph_edges UNION SELECT target FROM lineGraph_edges) as foo ORDER BY id; SELECT 16 /* -- q3 */ UPDATE lineGraph_vertices AS r SET original_id = v.id FROM edge_table_vertices_pgr AS v WHERE v.id = r.id; UPDATE 5 /* -- q4 */ WITH unassignedVertices AS (SELECT e.id, e.original_id FROM lineGraph_vertices AS e WHERE original_id IS NOT NULL), edgesWithUnassignedSource AS (SELECT * FROM lineGraph_edges WHERE cost = 0 and source IN (SELECT id FROM unassignedVertices)), edgesWithUnassignedSourcePlusVertices AS (SELECT * FROM edgesWithUnassignedSource JOIN lineGraph_vertices ON(source = id)), verticesFromEdgesWithUnassignedSource AS (SELECT DISTINCT edgesWithUnassignedSourcePlusVertices.target, edgesWithUnassignedSourcePlusVertices.original_id FROM edgesWithUnassignedSourcePlusVertices JOIN lineGraph_vertices AS r ON(target = r.id AND r.original_id IS NULL)) UPDATE lineGraph_vertices SET original_id = verticesFromEdgesWithUnassignedSource.original_id FROM verticesFromEdgesWithUnassignedSource WHERE verticesFromEdgesWithUnassignedSource.target = id; UPDATE 8 WITH unassignedVertices AS (SELECT e.id, e.original_id FROM lineGraph_vertices AS e WHERE original_id IS NOT NULL), edgesWithUnassignedTarget AS (SELECT * FROM lineGraph_edges WHERE cost = 0 and target IN (SELECT id FROM unassignedVertices)), edgesWithUnassignedTargetPlusVertices AS (SELECT * FROM edgesWithUnassignedTarget JOIN lineGraph_vertices ON(target = id)), verticesFromEdgesWithUnassignedTarget AS (SELECT DISTINCT edgesWithUnassignedTargetPlusVertices.source, edgesWithUnassignedTargetPlusVertices.original_id FROM edgesWithUnassignedTargetPlusVertices JOIN lineGraph_vertices AS r ON(source = r.id AND r.original_id IS NULL)) UPDATE lineGraph_vertices SET original_id = verticesFromEdgesWithUnassignedTarget.original_id FROM verticesFromEdgesWithUnassignedTarget WHERE verticesFromEdgesWithUnassignedTarget.source = id; UPDATE 3 /* -- q5 */ WITH unassignedVertexIds AS (SELECT id FROM lineGraph_vertices WHERE original_id IS NULL), edgesWithUnassignedSource AS (SELECT source,edge FROM lineGraph_edges WHERE source IN (SELECT id FROM unassignedVertexIds)), originalEdgesWithUnassignedSource AS (SELECT id,source FROM edge_table WHERE id IN (SELECT edge FROM edgesWithUnassignedSource)) UPDATE lineGraph_vertices AS d SET original_id = (SELECT source FROM originalEdgesWithUnassignedSource WHERE originalEdgesWithUnassignedSource.id = (SELECT edge FROM edgesWithUnassignedSource WHERE edgesWithUnassignedSource.source = d.id)) WHERE id IN (SELECT id FROM unassignedVertexIds); UPDATE 0 WITH unassignedVertexIds AS (SELECT id FROM lineGraph_vertices WHERE original_id IS NULL), edgesWithUnassignedTarget AS (SELECT target,edge FROM lineGraph_edges WHERE target IN (SELECT id FROM unassignedVertexIds)), originalEdgesWithUnassignedTarget AS (SELECT id,target FROM edge_table WHERE id IN (SELECT edge FROM edgesWithUnassignedTarget)) UPDATE lineGraph_vertices AS d SET original_id = (SELECT target FROM originalEdgesWithUnassignedTarget WHERE originalEdgesWithUnassignedTarget.id = (SELECT edge FROM edgesWithUnassignedTarget WHERE edgesWithUnassignedTarget.target = d.id)) WHERE id IN (SELECT id FROM unassignedVertexIds); UPDATE 0 /* -- q6 */ SELECT * FROM lineGraph_vertices; id | original_id -----+------------- 2 | 2 5 | 5 6 | 6 8 | 8 10 | 10 -11 | 10 -10 | 6 -9 | 8 -5 | 5 -4 | 5 -3 | 5 -2 | 5 -1 | 2 -8 | 5 -7 | 5 -6 | 5 (16 rows) /* -- q7 */ UPDATE lineGraph_edges SET cost = 100 WHERE source IN (SELECT target FROM lineGraph_edges WHERE edge = 4) AND target IN (SELECT source FROM lineGraph_edges WHERE edge = -7); UPDATE 1 /* -- q8 */ SELECT * FROM (SELECT * FROM (SELECT * FROM pgr_dijkstra($$SELECT seq AS id, * FROM lineGraph_edges$$, (SELECT array_agg(id) FROM lineGraph_vertices where original_id = 2), (SELECT array_agg(id) FROM lineGraph_vertices where original_id = 8) )) as shortestPaths WHERE start_vid = 2 AND end_vid = 8 AND (cost != 0 OR edge = -1)) as b; seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 29 | 2 | 2 | 8 | -1 | 1 | 1 | 0 31 | 4 | 2 | 8 | -4 | 5 | 1 | 1 33 | 6 | 2 | 8 | -10 | 25 | 1 | 2 35 | 8 | 2 | 8 | -3 | 4 | 1 | 3 36 | 9 | 2 | 8 | 8 | -1 | 0 | 4 (5 rows) /* -- q9 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/lineGraph/doc-pgr_lineGraphFull.test.sql000066400000000000000000000115711414350551100254610ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_lineGraphFull( 'SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id IN (4,7,8,10)' ); /* -- q2 */ CREATE TABLE lineGraph_edges AS SELECT * FROM pgr_lineGraphFull( $$SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id IN (4,7,8,10)$$ ); CREATE TABLE lineGraph_vertices AS SELECT *, NULL::BIGINT AS original_id FROM (SELECT source AS id FROM lineGraph_edges UNION SELECT target FROM lineGraph_edges) as foo ORDER BY id; /* -- q3 */ UPDATE lineGraph_vertices AS r SET original_id = v.id FROM edge_table_vertices_pgr AS v WHERE v.id = r.id; /* -- q4 */ WITH unassignedVertices AS (SELECT e.id, e.original_id FROM lineGraph_vertices AS e WHERE original_id IS NOT NULL), edgesWithUnassignedSource AS (SELECT * FROM lineGraph_edges WHERE cost = 0 and source IN (SELECT id FROM unassignedVertices)), edgesWithUnassignedSourcePlusVertices AS (SELECT * FROM edgesWithUnassignedSource JOIN lineGraph_vertices ON(source = id)), verticesFromEdgesWithUnassignedSource AS (SELECT DISTINCT edgesWithUnassignedSourcePlusVertices.target, edgesWithUnassignedSourcePlusVertices.original_id FROM edgesWithUnassignedSourcePlusVertices JOIN lineGraph_vertices AS r ON(target = r.id AND r.original_id IS NULL)) UPDATE lineGraph_vertices SET original_id = verticesFromEdgesWithUnassignedSource.original_id FROM verticesFromEdgesWithUnassignedSource WHERE verticesFromEdgesWithUnassignedSource.target = id; WITH unassignedVertices AS (SELECT e.id, e.original_id FROM lineGraph_vertices AS e WHERE original_id IS NOT NULL), edgesWithUnassignedTarget AS (SELECT * FROM lineGraph_edges WHERE cost = 0 and target IN (SELECT id FROM unassignedVertices)), edgesWithUnassignedTargetPlusVertices AS (SELECT * FROM edgesWithUnassignedTarget JOIN lineGraph_vertices ON(target = id)), verticesFromEdgesWithUnassignedTarget AS (SELECT DISTINCT edgesWithUnassignedTargetPlusVertices.source, edgesWithUnassignedTargetPlusVertices.original_id FROM edgesWithUnassignedTargetPlusVertices JOIN lineGraph_vertices AS r ON(source = r.id AND r.original_id IS NULL)) UPDATE lineGraph_vertices SET original_id = verticesFromEdgesWithUnassignedTarget.original_id FROM verticesFromEdgesWithUnassignedTarget WHERE verticesFromEdgesWithUnassignedTarget.source = id; /* -- q5 */ WITH unassignedVertexIds AS (SELECT id FROM lineGraph_vertices WHERE original_id IS NULL), edgesWithUnassignedSource AS (SELECT source,edge FROM lineGraph_edges WHERE source IN (SELECT id FROM unassignedVertexIds)), originalEdgesWithUnassignedSource AS (SELECT id,source FROM edge_table WHERE id IN (SELECT edge FROM edgesWithUnassignedSource)) UPDATE lineGraph_vertices AS d SET original_id = (SELECT source FROM originalEdgesWithUnassignedSource WHERE originalEdgesWithUnassignedSource.id = (SELECT edge FROM edgesWithUnassignedSource WHERE edgesWithUnassignedSource.source = d.id)) WHERE id IN (SELECT id FROM unassignedVertexIds); WITH unassignedVertexIds AS (SELECT id FROM lineGraph_vertices WHERE original_id IS NULL), edgesWithUnassignedTarget AS (SELECT target,edge FROM lineGraph_edges WHERE target IN (SELECT id FROM unassignedVertexIds)), originalEdgesWithUnassignedTarget AS (SELECT id,target FROM edge_table WHERE id IN (SELECT edge FROM edgesWithUnassignedTarget)) UPDATE lineGraph_vertices AS d SET original_id = (SELECT target FROM originalEdgesWithUnassignedTarget WHERE originalEdgesWithUnassignedTarget.id = (SELECT edge FROM edgesWithUnassignedTarget WHERE edgesWithUnassignedTarget.target = d.id)) WHERE id IN (SELECT id FROM unassignedVertexIds); /* -- q6 */ SELECT * FROM lineGraph_vertices; /* -- q7 */ UPDATE lineGraph_edges SET cost = 100 WHERE source IN (SELECT target FROM lineGraph_edges WHERE edge = 4) AND target IN (SELECT source FROM lineGraph_edges WHERE edge = -7); /* -- q8 */ SELECT * FROM (SELECT * FROM (SELECT * FROM pgr_dijkstra($$SELECT seq AS id, * FROM lineGraph_edges$$, (SELECT array_agg(id) FROM lineGraph_vertices where original_id = 2), (SELECT array_agg(id) FROM lineGraph_vertices where original_id = 8) )) as shortestPaths WHERE start_vid = 2 AND end_vid = 8 AND (cost != 0 OR edge = -1)) as b; /* -- q9 */ pgrouting-3.3.0/docqueries/lineGraph/pgtap_design.result000066400000000000000000000031341414350551100235130ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- one edge graph */ SELECT * FROM pgr_lineGraph( 'SELECT id, source, target, cost FROM edge_table WHERE id = 1' ); NOTICE: Only vertices graph HINT: 0: out_edges_of(1): 1=(1, 2) = 1 1: out_edges_of(2): seq | source | target | cost | reverse_cost -----+--------+--------+------+-------------- (0 rows) /* -- two edge graphs */ SELECT * FROM pgr_lineGraph($$ SELECT -id AS id, target, source, reverse_cost AS cost FROM edge_table WHERE id = 1 UNION SELECT id, source, target, cost FROM edge_table WHERE id = 1 $$ ); seq | source | target | cost | reverse_cost -----+--------+--------+------+-------------- 1 | 1 | -1 | 1 | 1 (1 row) SELECT * FROM pgr_lineGraph($$ SELECT id, target, source, reverse_cost AS cost FROM edge_table WHERE id = 1 UNION SELECT -id AS id, source, target, cost FROM edge_table WHERE id = 1 $$ ); seq | source | target | cost | reverse_cost -----+--------+--------+------+-------------- 1 | 1 | -1 | 1 | 1 (1 row) SELECT * FROM pgr_lineGraph( 'SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id = 1' ); seq | source | target | cost | reverse_cost -----+--------+--------+------+-------------- 1 | -1 | 1 | 1 | 1 (1 row) SELECT * FROM pgr_lineGraph( 'SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id = 17' ); seq | source | target | cost | reverse_cost -----+--------+--------+------+-------------- 1 | -17 | 17 | 1 | 1 (1 row) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/lineGraph/pgtap_design.test.sql000066400000000000000000000014221414350551100237500ustar00rootroot00000000000000 /* -- one edge graph */ SELECT * FROM pgr_lineGraph( 'SELECT id, source, target, cost FROM edge_table WHERE id = 1' ); /* -- two edge graphs */ SELECT * FROM pgr_lineGraph($$ SELECT -id AS id, target, source, reverse_cost AS cost FROM edge_table WHERE id = 1 UNION SELECT id, source, target, cost FROM edge_table WHERE id = 1 $$ ); SELECT * FROM pgr_lineGraph($$ SELECT id, target, source, reverse_cost AS cost FROM edge_table WHERE id = 1 UNION SELECT -id AS id, source, target, cost FROM edge_table WHERE id = 1 $$ ); SELECT * FROM pgr_lineGraph( 'SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id = 1' ); SELECT * FROM pgr_lineGraph( 'SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id = 17' ); pgrouting-3.3.0/docqueries/lineGraph/pgtap_design_lineGraphFull.result000066400000000000000000000117051414350551100263320ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET UPDATE edge_table SET id = id * 100, source = 1000 * source, target = 1000 * target; UPDATE 18 UPDATE edge_table_vertices_pgr SET id = id * 1000; UPDATE 17 SELECT id, source, target, cost, reverse_cost FROM edge_table; id | source | target | cost | reverse_cost ------+--------+--------+------+-------------- 100 | 1000 | 2000 | 1 | 1 200 | 2000 | 3000 | -1 | 1 300 | 3000 | 4000 | -1 | 1 400 | 2000 | 5000 | 1 | 1 500 | 3000 | 6000 | 1 | -1 600 | 7000 | 8000 | 1 | 1 700 | 8000 | 5000 | 1 | 1 800 | 5000 | 6000 | 1 | 1 900 | 6000 | 9000 | 1 | 1 1000 | 5000 | 10000 | 1 | 1 1100 | 6000 | 11000 | 1 | -1 1200 | 10000 | 11000 | 1 | -1 1300 | 11000 | 12000 | 1 | -1 1400 | 10000 | 13000 | 1 | 1 1500 | 9000 | 12000 | 1 | 1 1600 | 4000 | 9000 | 1 | 1 1700 | 14000 | 15000 | 1 | 1 1800 | 16000 | 17000 | 1 | 1 (18 rows) SELECT id FROM edge_table_vertices_pgr; id ------- 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 11000 12000 13000 14000 15000 16000 17000 (17 rows) SELECT * FROM pgr_lineGraphFull( $$SELECT id, source, target, cost FROM edge_table WHERE id = 1$$ ); seq | source | target | cost | edge -----+--------+--------+------+------ (0 rows) SELECT * FROM pgr_lineGraphFull( $$SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id = 200$$ ); seq | source | target | cost | edge -----+--------+--------+------+------ 1 | 3000 | 2000 | 1 | -200 (1 row) SELECT * FROM pgr_lineGraphFull( $$SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id = 1100$$ ); seq | source | target | cost | edge -----+--------+--------+------+------ 1 | 6000 | 11000 | 1 | 1100 (1 row) SELECT * FROM pgr_lineGraphFull( $$SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id = 100$$ ); seq | source | target | cost | edge -----+--------+--------+------+------ 1 | -1 | 2000 | 1 | 100 2 | 1000 | -1 | 0 | 0 3 | -2 | 1000 | 1 | -100 4 | 2000 | -2 | 0 | 0 (4 rows) SELECT * FROM pgr_lineGraphFull($$ SELECT id AS id, target, source, reverse_cost AS cost FROM edge_table WHERE id = 100 UNION SELECT id, source, target, cost FROM edge_table WHERE id = 100 $$ ); seq | source | target | cost | edge -----+--------+--------+------+------ 1 | 2000 | 2000 | 1 | 100 2 | 2000 | 1000 | 1 | 100 3 | 1000 | 2000 | 1 | 100 4 | 1000 | 1000 | 1 | 100 (4 rows) SELECT * FROM pgr_lineGraphFull($$ SELECT id, target, source, reverse_cost AS cost FROM edge_table WHERE id = 100 UNION SELECT -id AS id, source, target, cost FROM edge_table WHERE id = 100 $$ ); seq | source | target | cost | edge -----+--------+--------+------+------ 1 | -1 | 1000 | 1 | -100 2 | 2000 | -1 | 0 | 0 3 | -2 | 2000 | 1 | 100 4 | 1000 | -2 | 0 | 0 (4 rows) SELECT * FROM pgr_lineGraphFull( $$SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id IN (200, 300)$$ ); seq | source | target | cost | edge -----+--------+--------+------+------ 1 | -1 | 2000 | 1 | -200 2 | 3000 | -1 | 0 | 0 3 | 4000 | 3000 | 1 | -300 (3 rows) SELECT * FROM pgr_lineGraphFull( $$SELECT id * 100 AS id, source * 1000 AS source, target * 1000 AS target, cost, reverse_cost FROM edge_table WHERE id in (600, 700)$$ ); seq | source | target | cost | edge -----+---------+---------+------+-------- 1 | -1 | 8000000 | 1 | 60000 2 | 7000000 | -1 | 0 | 0 3 | -2 | 7000000 | 1 | -60000 4 | -3 | 5000000 | 1 | 70000 5 | 8000000 | -2 | 0 | 0 6 | 8000000 | -3 | 0 | 0 7 | -4 | -2 | 0 | 0 8 | -4 | -3 | 0 | 0 9 | -5 | -4 | 1 | -70000 10 | 5000000 | -5 | 0 | 0 (10 rows) SELECT * FROM pgr_lineGraphFull( $$SELECT id * 100 AS id, source * 1000 AS source, target * 1000 AS target, cost, reverse_cost FROM edge_table where id in (500, 900, 1100)$$ ); seq | source | target | cost | edge -----+---------+----------+------+-------- 1 | 3000000 | 6000000 | 1 | 50000 2 | -1 | 9000000 | 1 | 90000 3 | -2 | 11000000 | 1 | 110000 4 | 6000000 | -1 | 0 | 0 5 | 6000000 | -2 | 0 | 0 6 | -3 | -1 | 0 | 0 7 | -3 | -2 | 0 | 0 8 | -4 | -3 | 1 | -90000 9 | 9000000 | -4 | 0 | 0 (9 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/lineGraph/pgtap_design_lineGraphFull.test.sql000066400000000000000000000032541414350551100265710ustar00rootroot00000000000000UPDATE edge_table SET id = id * 100, source = 1000 * source, target = 1000 * target; UPDATE edge_table_vertices_pgr SET id = id * 1000; SELECT id, source, target, cost, reverse_cost FROM edge_table; SELECT id FROM edge_table_vertices_pgr; SELECT * FROM pgr_lineGraphFull( $$SELECT id, source, target, cost FROM edge_table WHERE id = 1$$ ); SELECT * FROM pgr_lineGraphFull( $$SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id = 200$$ ); SELECT * FROM pgr_lineGraphFull( $$SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id = 1100$$ ); SELECT * FROM pgr_lineGraphFull( $$SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id = 100$$ ); SELECT * FROM pgr_lineGraphFull($$ SELECT id AS id, target, source, reverse_cost AS cost FROM edge_table WHERE id = 100 UNION SELECT id, source, target, cost FROM edge_table WHERE id = 100 $$ ); SELECT * FROM pgr_lineGraphFull($$ SELECT id, target, source, reverse_cost AS cost FROM edge_table WHERE id = 100 UNION SELECT -id AS id, source, target, cost FROM edge_table WHERE id = 100 $$ ); SELECT * FROM pgr_lineGraphFull( $$SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id IN (200, 300)$$ ); SELECT * FROM pgr_lineGraphFull( $$SELECT id * 100 AS id, source * 1000 AS source, target * 1000 AS target, cost, reverse_cost FROM edge_table WHERE id in (600, 700)$$ ); SELECT * FROM pgr_lineGraphFull( $$SELECT id * 100 AS id, source * 1000 AS source, target * 1000 AS target, cost, reverse_cost FROM edge_table where id in (500, 900, 1100)$$ ); pgrouting-3.3.0/docqueries/lineGraph/proofOfConcept1.result000066400000000000000000000640751414350551100240710ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET UPDATE edge_table SET id = id * 100, source = 1000 * source, target = 1000 * target; UPDATE 18 UPDATE edge_table_vertices_pgr SET id = id * 1000; UPDATE 17 DROP TABLE IF EXISTS result2; NOTICE: table "result2" does not exist, skipping DROP TABLE SELECT * INTO result2 FROM pgr_lineGraphFull( $$SELECT id, source, target, cost, reverse_cost FROM edge_table$$ ); SELECT 95 SELECT * FROM result2; seq | source | target | cost | edge -----+--------+--------+------+------- 1 | -1 | 2000 | 1 | 100 2 | 1000 | -1 | 0 | 0 3 | -2 | 1000 | 1 | -100 4 | -3 | 5000 | 1 | 400 5 | 2000 | -2 | 0 | 0 6 | 2000 | -3 | 0 | 0 7 | -4 | -2 | 0 | 0 8 | -4 | -3 | 0 | 0 9 | -5 | -2 | 0 | 0 10 | -5 | -3 | 0 | 0 11 | -6 | -4 | 1 | -200 12 | -7 | 6000 | 1 | 500 13 | 3000 | -6 | 0 | 0 14 | 3000 | -7 | 0 | 0 15 | -8 | 3000 | 1 | -300 16 | -9 | -30 | 1 | 1600 17 | 4000 | -8 | 0 | 0 18 | 4000 | -9 | 0 | 0 19 | -10 | -5 | 1 | -400 20 | -11 | -25 | 1 | -700 21 | -12 | -20 | 1 | 800 22 | -13 | 10000 | 1 | 1000 23 | 5000 | -10 | 0 | 0 24 | 5000 | -11 | 0 | 0 25 | 5000 | -12 | 0 | 0 26 | 5000 | -13 | 0 | 0 27 | -14 | -10 | 0 | 0 28 | -14 | -11 | 0 | 0 29 | -14 | -12 | 0 | 0 30 | -14 | -13 | 0 | 0 31 | -15 | -10 | 0 | 0 32 | -15 | -11 | 0 | 0 33 | -15 | -12 | 0 | 0 34 | -15 | -13 | 0 | 0 35 | -16 | -10 | 0 | 0 36 | -16 | -11 | 0 | 0 37 | -16 | -12 | 0 | 0 38 | -16 | -13 | 0 | 0 39 | -17 | -15 | 1 | -800 40 | -18 | 9000 | 1 | 900 41 | -19 | 11000 | 1 | 1100 42 | 6000 | -17 | 0 | 0 43 | 6000 | -18 | 0 | 0 44 | 6000 | -19 | 0 | 0 45 | -20 | -17 | 0 | 0 46 | -20 | -18 | 0 | 0 47 | -20 | -19 | 0 | 0 48 | -21 | -17 | 0 | 0 49 | -21 | -18 | 0 | 0 50 | -21 | -19 | 0 | 0 51 | -22 | 8000 | 1 | 600 52 | 7000 | -22 | 0 | 0 53 | -23 | 7000 | 1 | -600 54 | -24 | -14 | 1 | 700 55 | 8000 | -23 | 0 | 0 56 | 8000 | -24 | 0 | 0 57 | -25 | -23 | 0 | 0 58 | -25 | -24 | 0 | 0 59 | -26 | -21 | 1 | -900 60 | -27 | -38 | 1 | 1500 61 | -28 | 4000 | 1 | -1600 62 | 9000 | -26 | 0 | 0 63 | 9000 | -27 | 0 | 0 64 | 9000 | -28 | 0 | 0 65 | -29 | -26 | 0 | 0 66 | -29 | -27 | 0 | 0 67 | -29 | -28 | 0 | 0 68 | -30 | -26 | 0 | 0 69 | -30 | -27 | 0 | 0 70 | -30 | -28 | 0 | 0 71 | -31 | -16 | 1 | -1000 72 | -32 | -36 | 1 | 1200 73 | -33 | 13000 | 1 | 1400 74 | 10000 | -31 | 0 | 0 75 | 10000 | -32 | 0 | 0 76 | 10000 | -33 | 0 | 0 77 | -34 | -31 | 0 | 0 78 | -34 | -32 | 0 | 0 79 | -34 | -33 | 0 | 0 80 | -35 | 12000 | 1 | 1300 81 | 11000 | -35 | 0 | 0 82 | -36 | -35 | 0 | 0 83 | -37 | -29 | 1 | -1500 84 | 12000 | -37 | 0 | 0 85 | -38 | -37 | 0 | 0 86 | -39 | -34 | 1 | -1400 87 | 13000 | -39 | 0 | 0 88 | -40 | 15000 | 1 | 1700 89 | 14000 | -40 | 0 | 0 90 | -41 | 14000 | 1 | -1700 91 | 15000 | -41 | 0 | 0 92 | -42 | 17000 | 1 | 1800 93 | 16000 | -42 | 0 | 0 94 | -43 | 16000 | 1 | -1800 95 | 17000 | -43 | 0 | 0 (95 rows) DROP TABLE IF EXISTS result2_vertices_pgr; NOTICE: table "result2_vertices_pgr" does not exist, skipping DROP TABLE WITH foo AS (SELECT source AS id FROM result2 UNION SELECT target FROM result2) SELECT *, NULL::BIGINT AS original_id INTO result2_vertices_pgr FROM foo ORDER BY id; SELECT 60 SELECT * FROM result2_vertices_pgr; id | original_id -------+------------- -43 | -42 | -41 | -40 | -39 | -38 | -37 | -36 | -35 | -34 | -33 | -32 | -31 | -30 | -29 | -28 | -27 | -26 | -25 | -24 | -23 | -22 | -21 | -20 | -19 | -18 | -17 | -16 | -15 | -14 | -13 | -12 | -11 | -10 | -9 | -8 | -7 | -6 | -5 | -4 | -3 | -2 | -1 | 1000 | 2000 | 3000 | 4000 | 5000 | 6000 | 7000 | 8000 | 9000 | 10000 | 11000 | 12000 | 13000 | 14000 | 15000 | 16000 | 17000 | (60 rows) UPDATE result2_vertices_pgr AS r SET original_id = v.id FROM edge_table_vertices_pgr AS v WHERE v.id = r.id; UPDATE 17 WITH a AS (SELECT e.id, e.original_id FROM result2_vertices_pgr AS e WHERE original_id IS NOT NULL), b AS (SELECT * FROM result2 WHERE cost = 0 and source IN (SELECT id FROM a)), c AS (SELECT * FROM b JOIN result2_vertices_pgr ON(source = id)), d AS (SELECT c.source, v.original_id FROM c JOIN result2_vertices_pgr as v ON (target=v.id)), e AS (SELECT DISTINCT c.target, c.original_id FROM c JOIN result2_vertices_pgr AS r ON(target = r.id AND r.original_id IS NULL)) UPDATE result2_vertices_pgr SET original_id = e.original_id FROM e WHERE e.target = id; UPDATE 30 WITH a AS (SELECT e.id, e.original_id FROM result2_vertices_pgr AS e WHERE original_id IS NOT NULL), b AS (SELECT * FROM result2 WHERE cost = 0 and target IN (SELECT id FROM a)), c AS (SELECT * FROM b JOIN result2_vertices_pgr ON(target = id)), d AS (SELECT c.target, v.original_id FROM c JOIN result2_vertices_pgr as v ON (source=v.id)), e AS (SELECT DISTINCT c.source, c.original_id FROM c JOIN result2_vertices_pgr AS r ON(source = r.id AND r.original_id IS NULL)) UPDATE result2_vertices_pgr SET original_id = e.original_id FROM e WHERE e.source = id; UPDATE 13 WITH a AS (SELECT id FROM result2_vertices_pgr WHERE original_id IS NULL), b AS (SELECT source,edge FROM result2 WHERE source IN (SELECT id FROM a)), c AS (SELECT id,source FROM edge_table WHERE id IN (SELECT edge FROM b)) UPDATE result2_vertices_pgr AS d SET original_id = (SELECT source FROM c WHERE c.id = (SELECT edge FROM b WHERE b.source = d.id)) WHERE id IN (SELECT id FROM a); UPDATE 0 WITH a AS (SELECT id FROM result2_vertices_pgr WHERE original_id IS NULL), b AS (SELECT target,edge FROM result2 WHERE target IN (SELECT id FROM a)), c AS (SELECT id,target FROM edge_table WHERE id IN (SELECT edge FROM b)) UPDATE result2_vertices_pgr AS d SET original_id = (SELECT target FROM c WHERE c.id = (SELECT edge FROM b WHERE b.target = d.id)) WHERE id IN (SELECT id FROM a); UPDATE 0 SELECT * FROM result2_vertices_pgr; id | original_id -------+------------- 1000 | 1000 2000 | 2000 3000 | 3000 4000 | 4000 5000 | 5000 6000 | 6000 7000 | 7000 8000 | 8000 9000 | 9000 10000 | 10000 11000 | 11000 12000 | 12000 13000 | 13000 14000 | 14000 15000 | 15000 16000 | 16000 17000 | 17000 -43 | 17000 -42 | 16000 -41 | 15000 -40 | 14000 -39 | 13000 -37 | 12000 -35 | 11000 -33 | 10000 -32 | 10000 -31 | 10000 -28 | 9000 -27 | 9000 -26 | 9000 -24 | 8000 -23 | 8000 -22 | 7000 -19 | 6000 -18 | 6000 -17 | 6000 -13 | 5000 -12 | 5000 -11 | 5000 -10 | 5000 -9 | 4000 -8 | 4000 -7 | 3000 -6 | 3000 -3 | 2000 -2 | 2000 -1 | 1000 -38 | 12000 -36 | 11000 -34 | 10000 -30 | 9000 -29 | 9000 -25 | 8000 -21 | 6000 -20 | 6000 -16 | 5000 -15 | 5000 -14 | 5000 -5 | 2000 -4 | 2000 (60 rows) ALTER TABLE result2 ADD COLUMN original_source_vertex BIGINT; ALTER TABLE ALTER TABLE result2 ADD COLUMN original_target_vertex BIGINT; ALTER TABLE ALTER TABLE result2 ADD COLUMN original_source_edge BIGINT; ALTER TABLE ALTER TABLE result2 ADD COLUMN original_target_edge BIGINT; ALTER TABLE UPDATE result2 AS edges SET original_source_vertex = vertices.original_id FROM result2_vertices_pgr AS vertices WHERE edges.source = vertices.id; UPDATE 95 UPDATE result2 AS edges SET original_target_vertex = vertices.original_id FROM result2_vertices_pgr AS vertices WHERE edges.target = vertices.id; UPDATE 95 UPDATE result2 SET original_source_edge = edge, original_target_edge = edge WHERE edge != 0; UPDATE 30 UPDATE result2 AS a SET original_source_edge = b.edge FROM result2 AS b WHERE a.original_source_edge IS NULL AND b.original_source_edge IS NOT NULL AND a.source = b.target; UPDATE 65 UPDATE result2 AS a SET original_target_edge = b.edge FROM result2 AS b WHERE a.original_target_edge IS NULL AND b.original_target_edge IS NOT NULL AND a.target = b.source; UPDATE 65 DROP TABLE IF EXISTS q_result_1; NOTICE: table "q_result_1" does not exist, skipping DROP TABLE SELECT * INTO q_result_1 FROM pgr_dijkstra($$SELECT seq AS id, * FROM result2$$, (SELECT array_agg(id) FROM result2_vertices_pgr where original_id = 2000), (SELECT array_agg(id) FROM result2_vertices_pgr where original_id = 3000) ); SELECT 181 SELECT * FROM q_result_1; seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | -5 | -7 | -5 | 10 | 0 | 0 2 | 2 | -5 | -7 | -3 | 4 | 1 | 0 3 | 3 | -5 | -7 | 5000 | 25 | 0 | 1 4 | 4 | -5 | -7 | -12 | 21 | 1 | 1 5 | 5 | -5 | -7 | -20 | 46 | 0 | 2 6 | 6 | -5 | -7 | -18 | 40 | 1 | 2 7 | 7 | -5 | -7 | 9000 | 64 | 0 | 3 8 | 8 | -5 | -7 | -28 | 61 | 1 | 3 9 | 9 | -5 | -7 | 4000 | 17 | 0 | 4 10 | 10 | -5 | -7 | -8 | 15 | 1 | 4 11 | 11 | -5 | -7 | 3000 | 14 | 0 | 5 12 | 12 | -5 | -7 | -7 | -1 | 0 | 5 13 | 1 | -5 | -6 | -5 | 10 | 0 | 0 14 | 2 | -5 | -6 | -3 | 4 | 1 | 0 15 | 3 | -5 | -6 | 5000 | 25 | 0 | 1 16 | 4 | -5 | -6 | -12 | 21 | 1 | 1 17 | 5 | -5 | -6 | -20 | 46 | 0 | 2 18 | 6 | -5 | -6 | -18 | 40 | 1 | 2 19 | 7 | -5 | -6 | 9000 | 64 | 0 | 3 20 | 8 | -5 | -6 | -28 | 61 | 1 | 3 21 | 9 | -5 | -6 | 4000 | 17 | 0 | 4 22 | 10 | -5 | -6 | -8 | 15 | 1 | 4 23 | 11 | -5 | -6 | 3000 | 13 | 0 | 5 24 | 12 | -5 | -6 | -6 | -1 | 0 | 5 25 | 1 | -5 | 3000 | -5 | 10 | 0 | 0 26 | 2 | -5 | 3000 | -3 | 4 | 1 | 0 27 | 3 | -5 | 3000 | 5000 | 25 | 0 | 1 28 | 4 | -5 | 3000 | -12 | 21 | 1 | 1 29 | 5 | -5 | 3000 | -20 | 46 | 0 | 2 30 | 6 | -5 | 3000 | -18 | 40 | 1 | 2 31 | 7 | -5 | 3000 | 9000 | 64 | 0 | 3 32 | 8 | -5 | 3000 | -28 | 61 | 1 | 3 33 | 9 | -5 | 3000 | 4000 | 17 | 0 | 4 34 | 10 | -5 | 3000 | -8 | 15 | 1 | 4 35 | 11 | -5 | 3000 | 3000 | -1 | 0 | 5 36 | 1 | -4 | -7 | -4 | 8 | 0 | 0 37 | 2 | -4 | -7 | -3 | 4 | 1 | 0 38 | 3 | -4 | -7 | 5000 | 25 | 0 | 1 39 | 4 | -4 | -7 | -12 | 21 | 1 | 1 40 | 5 | -4 | -7 | -20 | 46 | 0 | 2 41 | 6 | -4 | -7 | -18 | 40 | 1 | 2 42 | 7 | -4 | -7 | 9000 | 64 | 0 | 3 43 | 8 | -4 | -7 | -28 | 61 | 1 | 3 44 | 9 | -4 | -7 | 4000 | 17 | 0 | 4 45 | 10 | -4 | -7 | -8 | 15 | 1 | 4 46 | 11 | -4 | -7 | 3000 | 14 | 0 | 5 47 | 12 | -4 | -7 | -7 | -1 | 0 | 5 48 | 1 | -4 | -6 | -4 | 8 | 0 | 0 49 | 2 | -4 | -6 | -3 | 4 | 1 | 0 50 | 3 | -4 | -6 | 5000 | 25 | 0 | 1 51 | 4 | -4 | -6 | -12 | 21 | 1 | 1 52 | 5 | -4 | -6 | -20 | 46 | 0 | 2 53 | 6 | -4 | -6 | -18 | 40 | 1 | 2 54 | 7 | -4 | -6 | 9000 | 64 | 0 | 3 55 | 8 | -4 | -6 | -28 | 61 | 1 | 3 56 | 9 | -4 | -6 | 4000 | 17 | 0 | 4 57 | 10 | -4 | -6 | -8 | 15 | 1 | 4 58 | 11 | -4 | -6 | 3000 | 13 | 0 | 5 59 | 12 | -4 | -6 | -6 | -1 | 0 | 5 60 | 1 | -4 | 3000 | -4 | 8 | 0 | 0 61 | 2 | -4 | 3000 | -3 | 4 | 1 | 0 62 | 3 | -4 | 3000 | 5000 | 25 | 0 | 1 63 | 4 | -4 | 3000 | -12 | 21 | 1 | 1 64 | 5 | -4 | 3000 | -20 | 46 | 0 | 2 65 | 6 | -4 | 3000 | -18 | 40 | 1 | 2 66 | 7 | -4 | 3000 | 9000 | 64 | 0 | 3 67 | 8 | -4 | 3000 | -28 | 61 | 1 | 3 68 | 9 | -4 | 3000 | 4000 | 17 | 0 | 4 69 | 10 | -4 | 3000 | -8 | 15 | 1 | 4 70 | 11 | -4 | 3000 | 3000 | -1 | 0 | 5 71 | 1 | -3 | -7 | -3 | 4 | 1 | 0 72 | 2 | -3 | -7 | 5000 | 25 | 0 | 1 73 | 3 | -3 | -7 | -12 | 21 | 1 | 1 74 | 4 | -3 | -7 | -20 | 46 | 0 | 2 75 | 5 | -3 | -7 | -18 | 40 | 1 | 2 76 | 6 | -3 | -7 | 9000 | 64 | 0 | 3 77 | 7 | -3 | -7 | -28 | 61 | 1 | 3 78 | 8 | -3 | -7 | 4000 | 17 | 0 | 4 79 | 9 | -3 | -7 | -8 | 15 | 1 | 4 80 | 10 | -3 | -7 | 3000 | 14 | 0 | 5 81 | 11 | -3 | -7 | -7 | -1 | 0 | 5 82 | 1 | -3 | -6 | -3 | 4 | 1 | 0 83 | 2 | -3 | -6 | 5000 | 25 | 0 | 1 84 | 3 | -3 | -6 | -12 | 21 | 1 | 1 85 | 4 | -3 | -6 | -20 | 46 | 0 | 2 86 | 5 | -3 | -6 | -18 | 40 | 1 | 2 87 | 6 | -3 | -6 | 9000 | 64 | 0 | 3 88 | 7 | -3 | -6 | -28 | 61 | 1 | 3 89 | 8 | -3 | -6 | 4000 | 17 | 0 | 4 90 | 9 | -3 | -6 | -8 | 15 | 1 | 4 91 | 10 | -3 | -6 | 3000 | 13 | 0 | 5 92 | 11 | -3 | -6 | -6 | -1 | 0 | 5 93 | 1 | -3 | 3000 | -3 | 4 | 1 | 0 94 | 2 | -3 | 3000 | 5000 | 25 | 0 | 1 95 | 3 | -3 | 3000 | -12 | 21 | 1 | 1 96 | 4 | -3 | 3000 | -20 | 46 | 0 | 2 97 | 5 | -3 | 3000 | -18 | 40 | 1 | 2 98 | 6 | -3 | 3000 | 9000 | 64 | 0 | 3 99 | 7 | -3 | 3000 | -28 | 61 | 1 | 3 100 | 8 | -3 | 3000 | 4000 | 17 | 0 | 4 101 | 9 | -3 | 3000 | -8 | 15 | 1 | 4 102 | 10 | -3 | 3000 | 3000 | -1 | 0 | 5 103 | 1 | -2 | -7 | -2 | 3 | 1 | 0 104 | 2 | -2 | -7 | 1000 | 2 | 0 | 1 105 | 3 | -2 | -7 | -1 | 1 | 1 | 1 106 | 4 | -2 | -7 | 2000 | 6 | 0 | 2 107 | 5 | -2 | -7 | -3 | 4 | 1 | 2 108 | 6 | -2 | -7 | 5000 | 25 | 0 | 3 109 | 7 | -2 | -7 | -12 | 21 | 1 | 3 110 | 8 | -2 | -7 | -20 | 46 | 0 | 4 111 | 9 | -2 | -7 | -18 | 40 | 1 | 4 112 | 10 | -2 | -7 | 9000 | 64 | 0 | 5 113 | 11 | -2 | -7 | -28 | 61 | 1 | 5 114 | 12 | -2 | -7 | 4000 | 17 | 0 | 6 115 | 13 | -2 | -7 | -8 | 15 | 1 | 6 116 | 14 | -2 | -7 | 3000 | 14 | 0 | 7 117 | 15 | -2 | -7 | -7 | -1 | 0 | 7 118 | 1 | -2 | -6 | -2 | 3 | 1 | 0 119 | 2 | -2 | -6 | 1000 | 2 | 0 | 1 120 | 3 | -2 | -6 | -1 | 1 | 1 | 1 121 | 4 | -2 | -6 | 2000 | 6 | 0 | 2 122 | 5 | -2 | -6 | -3 | 4 | 1 | 2 123 | 6 | -2 | -6 | 5000 | 25 | 0 | 3 124 | 7 | -2 | -6 | -12 | 21 | 1 | 3 125 | 8 | -2 | -6 | -20 | 46 | 0 | 4 126 | 9 | -2 | -6 | -18 | 40 | 1 | 4 127 | 10 | -2 | -6 | 9000 | 64 | 0 | 5 128 | 11 | -2 | -6 | -28 | 61 | 1 | 5 129 | 12 | -2 | -6 | 4000 | 17 | 0 | 6 130 | 13 | -2 | -6 | -8 | 15 | 1 | 6 131 | 14 | -2 | -6 | 3000 | 13 | 0 | 7 132 | 15 | -2 | -6 | -6 | -1 | 0 | 7 133 | 1 | -2 | 3000 | -2 | 3 | 1 | 0 134 | 2 | -2 | 3000 | 1000 | 2 | 0 | 1 135 | 3 | -2 | 3000 | -1 | 1 | 1 | 1 136 | 4 | -2 | 3000 | 2000 | 6 | 0 | 2 137 | 5 | -2 | 3000 | -3 | 4 | 1 | 2 138 | 6 | -2 | 3000 | 5000 | 25 | 0 | 3 139 | 7 | -2 | 3000 | -12 | 21 | 1 | 3 140 | 8 | -2 | 3000 | -20 | 46 | 0 | 4 141 | 9 | -2 | 3000 | -18 | 40 | 1 | 4 142 | 10 | -2 | 3000 | 9000 | 64 | 0 | 5 143 | 11 | -2 | 3000 | -28 | 61 | 1 | 5 144 | 12 | -2 | 3000 | 4000 | 17 | 0 | 6 145 | 13 | -2 | 3000 | -8 | 15 | 1 | 6 146 | 14 | -2 | 3000 | 3000 | -1 | 0 | 7 147 | 1 | 2000 | -7 | 2000 | 6 | 0 | 0 148 | 2 | 2000 | -7 | -3 | 4 | 1 | 0 149 | 3 | 2000 | -7 | 5000 | 25 | 0 | 1 150 | 4 | 2000 | -7 | -12 | 21 | 1 | 1 151 | 5 | 2000 | -7 | -20 | 46 | 0 | 2 152 | 6 | 2000 | -7 | -18 | 40 | 1 | 2 153 | 7 | 2000 | -7 | 9000 | 64 | 0 | 3 154 | 8 | 2000 | -7 | -28 | 61 | 1 | 3 155 | 9 | 2000 | -7 | 4000 | 17 | 0 | 4 156 | 10 | 2000 | -7 | -8 | 15 | 1 | 4 157 | 11 | 2000 | -7 | 3000 | 14 | 0 | 5 158 | 12 | 2000 | -7 | -7 | -1 | 0 | 5 159 | 1 | 2000 | -6 | 2000 | 6 | 0 | 0 160 | 2 | 2000 | -6 | -3 | 4 | 1 | 0 161 | 3 | 2000 | -6 | 5000 | 25 | 0 | 1 162 | 4 | 2000 | -6 | -12 | 21 | 1 | 1 163 | 5 | 2000 | -6 | -20 | 46 | 0 | 2 164 | 6 | 2000 | -6 | -18 | 40 | 1 | 2 165 | 7 | 2000 | -6 | 9000 | 64 | 0 | 3 166 | 8 | 2000 | -6 | -28 | 61 | 1 | 3 167 | 9 | 2000 | -6 | 4000 | 17 | 0 | 4 168 | 10 | 2000 | -6 | -8 | 15 | 1 | 4 169 | 11 | 2000 | -6 | 3000 | 13 | 0 | 5 170 | 12 | 2000 | -6 | -6 | -1 | 0 | 5 171 | 1 | 2000 | 3000 | 2000 | 6 | 0 | 0 172 | 2 | 2000 | 3000 | -3 | 4 | 1 | 0 173 | 3 | 2000 | 3000 | 5000 | 25 | 0 | 1 174 | 4 | 2000 | 3000 | -12 | 21 | 1 | 1 175 | 5 | 2000 | 3000 | -20 | 46 | 0 | 2 176 | 6 | 2000 | 3000 | -18 | 40 | 1 | 2 177 | 7 | 2000 | 3000 | 9000 | 64 | 0 | 3 178 | 8 | 2000 | 3000 | -28 | 61 | 1 | 3 179 | 9 | 2000 | 3000 | 4000 | 17 | 0 | 4 180 | 10 | 2000 | 3000 | -8 | 15 | 1 | 4 181 | 11 | 2000 | 3000 | 3000 | -1 | 0 | 5 (181 rows) SELECT min(agg_cost) FROM q_result_1 WHERE edge = -1; min ----- 5 (1 row) SELECT path_seq, start_vid, end_vid FROM q_result_1 WHERE edge = -1 and agg_cost = 5; path_seq | start_vid | end_vid ----------+-----------+--------- 12 | -5 | -7 12 | -5 | -6 11 | -5 | 3000 12 | -4 | -7 12 | -4 | -6 11 | -4 | 3000 11 | -3 | -7 11 | -3 | -6 10 | -3 | 3000 12 | 2000 | -7 12 | 2000 | -6 11 | 2000 | 3000 (12 rows) SELECT * FROM q_result_1 WHERE start_vid = -3 AND end_vid = 3000; seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 93 | 1 | -3 | 3000 | -3 | 4 | 1 | 0 94 | 2 | -3 | 3000 | 5000 | 25 | 0 | 1 95 | 3 | -3 | 3000 | -12 | 21 | 1 | 1 96 | 4 | -3 | 3000 | -20 | 46 | 0 | 2 97 | 5 | -3 | 3000 | -18 | 40 | 1 | 2 98 | 6 | -3 | 3000 | 9000 | 64 | 0 | 3 99 | 7 | -3 | 3000 | -28 | 61 | 1 | 3 100 | 8 | -3 | 3000 | 4000 | 17 | 0 | 4 101 | 9 | -3 | 3000 | -8 | 15 | 1 | 4 102 | 10 | -3 | 3000 | 3000 | -1 | 0 | 5 (10 rows) SELECT * FROM q_result_1 WHERE start_vid = -3 AND end_vid = 3000 AND (cost != 0 OR edge = -1); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 93 | 1 | -3 | 3000 | -3 | 4 | 1 | 0 95 | 3 | -3 | 3000 | -12 | 21 | 1 | 1 97 | 5 | -3 | 3000 | -18 | 40 | 1 | 2 99 | 7 | -3 | 3000 | -28 | 61 | 1 | 3 101 | 9 | -3 | 3000 | -8 | 15 | 1 | 4 102 | 10 | -3 | 3000 | 3000 | -1 | 0 | 5 (6 rows) WITH a AS ( SELECT * FROM q_result_1 WHERE start_vid = -3 AND end_vid = 3000 AND (cost != 0 OR edge = -1)) SELECT a.seq, a.path_seq, (SELECT original_id FROM result2_vertices_pgr AS b WHERE a.start_vid = b.id) AS start_vid, (SELECT original_id FROM result2_vertices_pgr AS b WHERE a.end_vid = b.id) AS end_vid, (SELECT original_id FROM result2_vertices_pgr AS b WHERE a.node = b.id) AS node, edge, cost, agg_cost FROM a; seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 93 | 1 | 2000 | 3000 | 2000 | 4 | 1 | 0 95 | 3 | 2000 | 3000 | 5000 | 21 | 1 | 1 97 | 5 | 2000 | 3000 | 6000 | 40 | 1 | 2 99 | 7 | 2000 | 3000 | 9000 | 61 | 1 | 3 101 | 9 | 2000 | 3000 | 4000 | 15 | 1 | 4 102 | 10 | 2000 | 3000 | 3000 | -1 | 0 | 5 (6 rows) SELECT * from pgr_dijkstra($$SELECT id, * FROM edge_table$$, ARRAY[2000], ARRAY[3000]); seq | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | 2000 | 3000 | 2000 | 400 | 1 | 0 2 | 2 | 2000 | 3000 | 5000 | 800 | 1 | 1 3 | 3 | 2000 | 3000 | 6000 | 900 | 1 | 2 4 | 4 | 2000 | 3000 | 9000 | 1600 | 1 | 3 5 | 5 | 2000 | 3000 | 4000 | 300 | 1 | 4 6 | 6 | 2000 | 3000 | 3000 | -1 | 0 | 5 (6 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/lineGraph/proofOfConcept1.test.sql000066400000000000000000000116351414350551100243220ustar00rootroot00000000000000 -- this is a hand made test UPDATE edge_table SET id = id * 100, source = 1000 * source, target = 1000 * target; UPDATE edge_table_vertices_pgr SET id = id * 1000; DROP TABLE IF EXISTS result2; SELECT * INTO result2 FROM pgr_lineGraphFull( $$SELECT id, source, target, cost, reverse_cost FROM edge_table$$ ); SELECT * FROM result2; DROP TABLE IF EXISTS result2_vertices_pgr; WITH foo AS (SELECT source AS id FROM result2 UNION SELECT target FROM result2) SELECT *, NULL::BIGINT AS original_id INTO result2_vertices_pgr FROM foo ORDER BY id; SELECT * FROM result2_vertices_pgr; UPDATE result2_vertices_pgr AS r SET original_id = v.id FROM edge_table_vertices_pgr AS v WHERE v.id = r.id; WITH a AS (SELECT e.id, e.original_id FROM result2_vertices_pgr AS e WHERE original_id IS NOT NULL), b AS (SELECT * FROM result2 WHERE cost = 0 and source IN (SELECT id FROM a)), c AS (SELECT * FROM b JOIN result2_vertices_pgr ON(source = id)), d AS (SELECT c.source, v.original_id FROM c JOIN result2_vertices_pgr as v ON (target=v.id)), e AS (SELECT DISTINCT c.target, c.original_id FROM c JOIN result2_vertices_pgr AS r ON(target = r.id AND r.original_id IS NULL)) UPDATE result2_vertices_pgr SET original_id = e.original_id FROM e WHERE e.target = id; WITH a AS (SELECT e.id, e.original_id FROM result2_vertices_pgr AS e WHERE original_id IS NOT NULL), b AS (SELECT * FROM result2 WHERE cost = 0 and target IN (SELECT id FROM a)), c AS (SELECT * FROM b JOIN result2_vertices_pgr ON(target = id)), d AS (SELECT c.target, v.original_id FROM c JOIN result2_vertices_pgr as v ON (source=v.id)), e AS (SELECT DISTINCT c.source, c.original_id FROM c JOIN result2_vertices_pgr AS r ON(source = r.id AND r.original_id IS NULL)) UPDATE result2_vertices_pgr SET original_id = e.original_id FROM e WHERE e.source = id; WITH a AS (SELECT id FROM result2_vertices_pgr WHERE original_id IS NULL), b AS (SELECT source,edge FROM result2 WHERE source IN (SELECT id FROM a)), c AS (SELECT id,source FROM edge_table WHERE id IN (SELECT edge FROM b)) UPDATE result2_vertices_pgr AS d SET original_id = (SELECT source FROM c WHERE c.id = (SELECT edge FROM b WHERE b.source = d.id)) WHERE id IN (SELECT id FROM a); WITH a AS (SELECT id FROM result2_vertices_pgr WHERE original_id IS NULL), b AS (SELECT target,edge FROM result2 WHERE target IN (SELECT id FROM a)), c AS (SELECT id,target FROM edge_table WHERE id IN (SELECT edge FROM b)) UPDATE result2_vertices_pgr AS d SET original_id = (SELECT target FROM c WHERE c.id = (SELECT edge FROM b WHERE b.target = d.id)) WHERE id IN (SELECT id FROM a); SELECT * FROM result2_vertices_pgr; ALTER TABLE result2 ADD COLUMN original_source_vertex BIGINT; ALTER TABLE result2 ADD COLUMN original_target_vertex BIGINT; ALTER TABLE result2 ADD COLUMN original_source_edge BIGINT; ALTER TABLE result2 ADD COLUMN original_target_edge BIGINT; -- restoring the original_foo_vertex UPDATE result2 AS edges SET original_source_vertex = vertices.original_id FROM result2_vertices_pgr AS vertices WHERE edges.source = vertices.id; UPDATE result2 AS edges SET original_target_vertex = vertices.original_id FROM result2_vertices_pgr AS vertices WHERE edges.target = vertices.id; -- restoring the original_foo_edges UPDATE result2 SET original_source_edge = edge, original_target_edge = edge WHERE edge != 0; UPDATE result2 AS a SET original_source_edge = b.edge FROM result2 AS b WHERE a.original_source_edge IS NULL AND b.original_source_edge IS NOT NULL AND a.source = b.target; UPDATE result2 AS a SET original_target_edge = b.edge FROM result2 AS b WHERE a.original_target_edge IS NULL AND b.original_target_edge IS NOT NULL AND a.target = b.source; -- all the results DROP TABLE IF EXISTS q_result_1; SELECT * INTO q_result_1 FROM pgr_dijkstra($$SELECT seq AS id, * FROM result2$$, (SELECT array_agg(id) FROM result2_vertices_pgr where original_id = 2000), (SELECT array_agg(id) FROM result2_vertices_pgr where original_id = 3000) ); SELECT * FROM q_result_1; -- choosing the best many to many SELECT min(agg_cost) FROM q_result_1 WHERE edge = -1; SELECT path_seq, start_vid, end_vid FROM q_result_1 WHERE edge = -1 and agg_cost = 5; SELECT * FROM q_result_1 WHERE start_vid = -3 AND end_vid = 3000; -- not showing the 0 cost edges SELECT * FROM q_result_1 WHERE start_vid = -3 AND end_vid = 3000 AND (cost != 0 OR edge = -1); -- not showing the 0 cost edges and showing the original edges WITH a AS ( SELECT * FROM q_result_1 WHERE start_vid = -3 AND end_vid = 3000 AND (cost != 0 OR edge = -1)) SELECT a.seq, a.path_seq, (SELECT original_id FROM result2_vertices_pgr AS b WHERE a.start_vid = b.id) AS start_vid, (SELECT original_id FROM result2_vertices_pgr AS b WHERE a.end_vid = b.id) AS end_vid, (SELECT original_id FROM result2_vertices_pgr AS b WHERE a.node = b.id) AS node, edge, cost, agg_cost FROM a; -- A Dijkstra SELECT * from pgr_dijkstra($$SELECT id, * FROM edge_table$$, ARRAY[2000], ARRAY[3000]); pgrouting-3.3.0/docqueries/lineGraph/proofOfConcept2.result000066400000000000000000002116131414350551100240620ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET DROP TABLE edge_table; DROP TABLE DROP TABLE edge_table_vertices_pgr; DROP TABLE CREATE TABLE edge_table ( id integer, source integer, target integer, cost integer, the_geom geometry(MultiLineString) ); CREATE TABLE INSERT INTO edge_table (id, source, target, cost, the_geom) VALUES (664, 75242, 13078, 1, '01050000000100000001020000000500000006BB5C440B595D413FE94F59BAA125410134DD6412595D41A025BB1FD6A125413849F7A815595D41640C555DEBA12541336449FE18595D41899CBB7916A225418F8280C419595D412B03161742A22541'), (700, 41613, 6810, 1, '010500000001000000010200000004000000E44CC814E05C5D41C9DAE107B8AB254139C51DD7E25C5D41B9326524F9AB25415226091BE65C5D415F2F44630EAC25414C05189BEA5C5D411C439CCD14AC2541'), (716, 45339, 41613, 1, 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(1 row) SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NULL; count ------- 604 (1 row) UPDATE result2_vertices_pgr AS r SET original_id = v.id FROM edge_table_vertices_pgr AS v WHERE v.id = r.id; UPDATE 256 SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NOT NULL; count ------- 256 (1 row) SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NULL; count ------- 348 (1 row) WITH a AS (SELECT e.id, e.original_id FROM result2_vertices_pgr AS e WHERE original_id IS NOT NULL), b AS (SELECT * FROM result2 WHERE cost = 0 and source IN (SELECT id FROM a)), c AS (SELECT * FROM b JOIN result2_vertices_pgr ON(source = id)), d AS (SELECT c.source, v.original_id FROM c JOIN result2_vertices_pgr as v ON (target=v.id)), e AS (SELECT DISTINCT c.target, c.original_id FROM c JOIN result2_vertices_pgr AS r ON(target = r.id AND r.original_id IS NULL)) UPDATE result2_vertices_pgr SET original_id = e.original_id FROM e WHERE e.target = id; UPDATE 240 SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NOT NULL; count ------- 496 (1 row) SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NULL; count ------- 108 (1 row) WITH a AS (SELECT e.id, e.original_id FROM result2_vertices_pgr AS e WHERE original_id IS NOT NULL), b AS (SELECT * FROM result2 WHERE cost = 0 and target IN (SELECT id FROM a)), c AS (SELECT * FROM b JOIN result2_vertices_pgr ON(target = id)), d AS (SELECT c.target, v.original_id FROM c JOIN result2_vertices_pgr as v ON (source=v.id)), e AS (SELECT DISTINCT c.source, c.original_id FROM c JOIN result2_vertices_pgr AS r ON(source = r.id AND r.original_id IS NULL)) UPDATE result2_vertices_pgr SET original_id = e.original_id FROM e WHERE e.source = id; UPDATE 78 SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NOT NULL; count ------- 574 (1 row) SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NULL; count ------- 30 (1 row) WITH a AS (SELECT id FROM result2_vertices_pgr WHERE original_id IS NULL), b AS (SELECT source,edge FROM result2 WHERE source IN (SELECT id FROM a)), c AS (SELECT id,source FROM edge_table WHERE id IN (SELECT edge FROM b)) UPDATE result2_vertices_pgr AS d SET original_id = (SELECT source FROM c WHERE c.id = (SELECT edge FROM b WHERE b.source = d.id)) WHERE id IN (SELECT id FROM a); UPDATE 30 SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NOT NULL; count ------- 589 (1 row) SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NULL; count ------- 15 (1 row) WITH a AS (SELECT id FROM result2_vertices_pgr WHERE original_id IS NULL), b AS (SELECT target,edge FROM result2 WHERE target IN (SELECT id FROM a)), c AS (SELECT id,target FROM edge_table WHERE id IN (SELECT edge FROM b)) UPDATE result2_vertices_pgr AS d SET original_id = (SELECT target FROM c WHERE c.id = (SELECT edge FROM b WHERE b.target = d.id)) WHERE id IN (SELECT id FROM a); UPDATE 15 SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NOT NULL; count ------- 604 (1 row) SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NULL; count ------- 0 (1 row) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/lineGraph/proofOfConcept2.test.sql000066400000000000000000002102711414350551100243200ustar00rootroot00000000000000 DROP TABLE edge_table; DROP TABLE edge_table_vertices_pgr; CREATE TABLE edge_table ( id integer, source integer, target integer, cost integer, the_geom geometry(MultiLineString) ); INSERT INTO edge_table (id, source, target, cost, the_geom) VALUES (664, 75242, 13078, 1, '01050000000100000001020000000500000006BB5C440B595D413FE94F59BAA125410134DD6412595D41A025BB1FD6A125413849F7A815595D41640C555DEBA12541336449FE18595D41899CBB7916A225418F8280C419595D412B03161742A22541'), (700, 41613, 6810, 1, '010500000001000000010200000004000000E44CC814E05C5D41C9DAE107B8AB254139C51DD7E25C5D41B9326524F9AB25415226091BE65C5D415F2F44630EAC25414C05189BEA5C5D411C439CCD14AC2541'), (716, 45339, 41613, 1, 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WHERE original_id IS NOT NULL; SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NULL; WITH a AS (SELECT e.id, e.original_id FROM result2_vertices_pgr AS e WHERE original_id IS NOT NULL), b AS (SELECT * FROM result2 WHERE cost = 0 and source IN (SELECT id FROM a)), c AS (SELECT * FROM b JOIN result2_vertices_pgr ON(source = id)), d AS (SELECT c.source, v.original_id FROM c JOIN result2_vertices_pgr as v ON (target=v.id)), e AS (SELECT DISTINCT c.target, c.original_id FROM c JOIN result2_vertices_pgr AS r ON(target = r.id AND r.original_id IS NULL)) UPDATE result2_vertices_pgr SET original_id = e.original_id FROM e WHERE e.target = id; SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NOT NULL; SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NULL; WITH a AS (SELECT e.id, e.original_id FROM result2_vertices_pgr AS e WHERE original_id IS NOT NULL), b AS (SELECT * FROM result2 WHERE cost = 0 and target IN (SELECT id FROM a)), c AS (SELECT * FROM b JOIN result2_vertices_pgr ON(target = id)), d AS (SELECT c.target, v.original_id FROM c JOIN result2_vertices_pgr as v ON (source=v.id)), e AS (SELECT DISTINCT c.source, c.original_id FROM c JOIN result2_vertices_pgr AS r ON(source = r.id AND r.original_id IS NULL)) UPDATE result2_vertices_pgr SET original_id = e.original_id FROM e WHERE e.source = id; SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NOT NULL; SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NULL; WITH a AS (SELECT id FROM result2_vertices_pgr WHERE original_id IS NULL), b AS (SELECT source,edge FROM result2 WHERE source IN (SELECT id FROM a)), c AS (SELECT id,source FROM edge_table WHERE id IN (SELECT edge FROM b)) UPDATE result2_vertices_pgr AS d SET original_id = (SELECT source FROM c WHERE c.id = (SELECT edge FROM b WHERE b.source = d.id)) WHERE id IN (SELECT id FROM a); SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NOT NULL; SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NULL; WITH a AS (SELECT id FROM result2_vertices_pgr WHERE original_id IS NULL), b AS (SELECT target,edge FROM result2 WHERE target IN (SELECT id FROM a)), c AS (SELECT id,target FROM edge_table WHERE id IN (SELECT edge FROM b)) UPDATE result2_vertices_pgr AS d SET original_id = (SELECT target FROM c WHERE c.id = (SELECT edge FROM b WHERE b.target = d.id)) WHERE id IN (SELECT id FROM a); SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NOT NULL; SELECT count(*) FROM result2_vertices_pgr WHERE original_id IS NULL; pgrouting-3.3.0/docqueries/lineGraph/test.conf000066400000000000000000000007421414350551100214370ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'LineGrpah test for any versions.', 'data' => [ ], 'tests' => [qw( doc-pgr_lineGraphFull doc-pgr_lineGraph pgtap_design_lineGraphFull pgtap_design proofOfConcept1 proofOfConcept2 )], 'documentation' => [qw( doc-pgr_lineGraphFull doc-pgr_lineGraph )] }, ); 1; pgrouting-3.3.0/docqueries/max_flow/000077500000000000000000000000001414350551100175115ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/max_flow/CMakeLists.txt000066400000000000000000000010411414350551100222450ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_boykovKolmogorov doc-pgr_edgeDisjointPaths doc-pgr_edmondsKarp doc-pgr_maxCardinalityMatch doc-pgr_maxFlow doc-pgr_pushRelabel doc-pgr_maxFlowMinCost doc-pgr_maxFlowMinCost_Cost ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/max_flow/doc-pgr_boykovKolmogorov.result000066400000000000000000000077721414350551100257710ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_boykovKolmogorov( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , 6, 11 ); seq | edge | start_vid | end_vid | flow | residual_capacity -----+------+-----------+---------+------+------------------- 1 | 10 | 5 | 10 | 100 | 30 2 | 8 | 6 | 5 | 100 | 30 3 | 11 | 6 | 11 | 130 | 0 4 | 12 | 10 | 11 | 100 | 0 (4 rows) /* -- q2 */ SELECT * FROM pgr_boykovKolmogorov( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , 6, ARRAY[1, 3, 11] ); seq | edge | start_vid | end_vid | flow | residual_capacity -----+------+-----------+---------+------+------------------- 1 | 1 | 2 | 1 | 50 | 80 2 | 3 | 4 | 3 | 80 | 50 3 | 4 | 5 | 2 | 50 | 0 4 | 10 | 5 | 10 | 80 | 50 5 | 8 | 6 | 5 | 130 | 0 6 | 9 | 6 | 9 | 80 | 50 7 | 11 | 6 | 11 | 130 | 0 8 | 16 | 9 | 4 | 80 | 0 9 | 12 | 10 | 11 | 80 | 20 (9 rows) /* -- q3 */ SELECT * FROM pgr_boykovKolmogorov( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , ARRAY[6, 8, 12], 11 ); seq | edge | start_vid | end_vid | flow | residual_capacity -----+------+-----------+---------+------+------------------- 1 | 10 | 5 | 10 | 100 | 30 2 | 8 | 6 | 5 | 100 | 30 3 | 11 | 6 | 11 | 130 | 0 4 | 12 | 10 | 11 | 100 | 0 (4 rows) /* -- q4 */ SELECT * FROM pgr_boykovKolmogorov( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , ARRAY[6, 8, 12], ARRAY[1, 3, 11] ); seq | edge | start_vid | end_vid | flow | residual_capacity -----+------+-----------+---------+------+------------------- 1 | 1 | 2 | 1 | 50 | 80 2 | 3 | 4 | 3 | 80 | 50 3 | 4 | 5 | 2 | 50 | 0 4 | 10 | 5 | 10 | 100 | 30 5 | 8 | 6 | 5 | 130 | 0 6 | 9 | 6 | 9 | 80 | 50 7 | 11 | 6 | 11 | 130 | 0 8 | 7 | 8 | 5 | 20 | 30 9 | 16 | 9 | 4 | 80 | 0 10 | 12 | 10 | 11 | 100 | 0 (10 rows) /* -- q5 */ SELECT * FROM pgr_boykovKolmogorov( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table', 'SELECT * FROM ( VALUES (6, 1), (8, 3), (12, 11), (8, 1) ) AS t(source, target)' ); seq | edge | start_vid | end_vid | flow | residual_capacity -----+------+-----------+---------+------+------------------- 1 | 1 | 2 | 1 | 50 | 80 2 | 3 | 4 | 3 | 80 | 50 3 | 4 | 5 | 2 | 50 | 0 4 | 10 | 5 | 10 | 100 | 30 5 | 8 | 6 | 5 | 130 | 0 6 | 9 | 6 | 9 | 80 | 50 7 | 11 | 6 | 11 | 130 | 0 8 | 7 | 8 | 5 | 20 | 30 9 | 16 | 9 | 4 | 80 | 0 10 | 12 | 10 | 11 | 100 | 0 (10 rows) /* -- q6 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/max_flow/doc-pgr_boykovKolmogorov.test.sql000066400000000000000000000021151414350551100262120ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_boykovKolmogorov( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , 6, 11 ); /* -- q2 */ SELECT * FROM pgr_boykovKolmogorov( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , 6, ARRAY[1, 3, 11] ); /* -- q3 */ SELECT * FROM pgr_boykovKolmogorov( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , ARRAY[6, 8, 12], 11 ); /* -- q4 */ SELECT * FROM pgr_boykovKolmogorov( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , ARRAY[6, 8, 12], ARRAY[1, 3, 11] ); /* -- q5 */ SELECT * FROM pgr_boykovKolmogorov( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table', 'SELECT * FROM ( VALUES (6, 1), (8, 3), (12, 11), (8, 1) ) AS t(source, target)' ); /* -- q6 */ pgrouting-3.3.0/docqueries/max_flow/doc-pgr_edgeDisjointPaths.result000066400000000000000000000223061414350551100257770ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_edgeDisjointPaths( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 3, 5 ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 3 | 2 | 1 | 0 2 | 1 | 2 | 2 | 4 | 1 | 1 3 | 1 | 3 | 5 | -1 | 0 | 2 4 | 2 | 1 | 3 | 5 | 1 | 0 5 | 2 | 2 | 6 | 8 | 1 | 1 6 | 2 | 3 | 5 | -1 | 0 | 2 (6 rows) /* -- q2 */ SELECT * FROM pgr_edgeDisjointPaths( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 3, 5, directed := false ); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | 3 | 2 | 1 | 0 2 | 1 | 2 | 2 | 4 | 1 | 1 3 | 1 | 3 | 5 | -1 | 0 | 2 4 | 2 | 1 | 3 | 3 | -1 | 0 5 | 2 | 2 | 4 | 16 | 1 | -1 6 | 2 | 3 | 9 | 9 | 1 | 0 7 | 2 | 4 | 6 | 8 | 1 | 1 8 | 2 | 5 | 5 | -1 | 0 | 2 9 | 3 | 1 | 3 | 5 | 1 | 0 10 | 3 | 2 | 6 | 11 | 1 | 1 11 | 3 | 3 | 11 | 12 | -1 | 2 12 | 3 | 4 | 10 | 10 | 1 | 1 13 | 3 | 5 | 5 | -1 | 0 | 2 (13 rows) /* -- q3 */ SELECT * FROM pgr_edgeDisjointPaths( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 3, ARRAY[4, 5, 10] ); seq | path_id | path_seq | end_vid | node | edge | cost | agg_cost -----+---------+----------+---------+------+------+------+---------- 1 | 1 | 1 | 4 | 3 | 5 | 1 | 0 2 | 1 | 2 | 4 | 6 | 9 | 1 | 1 3 | 1 | 3 | 4 | 9 | 16 | 1 | 2 4 | 1 | 4 | 4 | 4 | -1 | 0 | 3 5 | 2 | 1 | 5 | 3 | 2 | 1 | 0 6 | 2 | 2 | 5 | 2 | 4 | 1 | 1 7 | 2 | 3 | 5 | 5 | -1 | 0 | 2 8 | 3 | 1 | 5 | 3 | 5 | 1 | 0 9 | 3 | 2 | 5 | 6 | 8 | 1 | 1 10 | 3 | 3 | 5 | 5 | -1 | 0 | 2 11 | 4 | 1 | 10 | 3 | 2 | 1 | 0 12 | 4 | 2 | 10 | 2 | 4 | 1 | 1 13 | 4 | 3 | 10 | 5 | 10 | 1 | 2 14 | 4 | 4 | 10 | 10 | -1 | 0 | 3 (14 rows) /* -- q4 */ SELECT * FROM pgr_edgeDisjointPaths( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[3, 6], 5 ); seq | path_id | path_seq | start_vid | node | edge | cost | agg_cost -----+---------+----------+-----------+------+------+------+---------- 1 | 1 | 1 | 0 | 3 | 2 | 1 | 0 2 | 1 | 2 | 0 | 2 | 4 | 1 | 1 3 | 1 | 3 | 0 | 5 | -1 | 0 | 2 4 | 2 | 1 | 1 | 3 | 5 | 1 | 0 5 | 2 | 2 | 1 | 6 | 8 | 1 | 1 6 | 2 | 3 | 1 | 5 | -1 | 0 | 2 7 | 3 | 1 | 2 | 6 | 8 | 1 | 0 8 | 3 | 2 | 2 | 5 | -1 | 0 | 1 9 | 4 | 1 | 3 | 6 | 9 | 1 | 0 10 | 4 | 2 | 3 | 9 | 16 | 1 | 1 11 | 4 | 3 | 3 | 4 | 3 | 1 | 2 12 | 4 | 4 | 3 | 3 | 2 | 1 | 3 13 | 4 | 5 | 3 | 2 | 4 | 1 | 4 14 | 4 | 6 | 3 | 5 | -1 | 0 | 5 (14 rows) /* -- q5 */ SELECT * FROM pgr_edgeDisjointPaths( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[3, 6], ARRAY[4, 5, 10] ); seq | path_id | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+---------+----------+-----------+---------+------+------+------+---------- 1 | 1 | 1 | 0 | 4 | 3 | 5 | 1 | 0 2 | 1 | 2 | 0 | 4 | 6 | 9 | 1 | 1 3 | 1 | 3 | 0 | 4 | 9 | 16 | 1 | 2 4 | 1 | 4 | 0 | 4 | 4 | -1 | 0 | 3 5 | 2 | 1 | 1 | 5 | 3 | 2 | 1 | 0 6 | 2 | 2 | 1 | 5 | 2 | 4 | 1 | 1 7 | 2 | 3 | 1 | 5 | 5 | -1 | 0 | 2 8 | 3 | 1 | 2 | 5 | 3 | 5 | 1 | 0 9 | 3 | 2 | 2 | 5 | 6 | 8 | 1 | 1 10 | 3 | 3 | 2 | 5 | 5 | -1 | 0 | 2 11 | 4 | 1 | 3 | 10 | 3 | 2 | 1 | 0 12 | 4 | 2 | 3 | 10 | 2 | 4 | 1 | 1 13 | 4 | 3 | 3 | 10 | 5 | 10 | 1 | 2 14 | 4 | 4 | 3 | 10 | 10 | -1 | 0 | 3 15 | 5 | 1 | 4 | 4 | 6 | 9 | 1 | 0 16 | 5 | 2 | 4 | 4 | 9 | 16 | 1 | 1 17 | 5 | 3 | 4 | 4 | 4 | -1 | 0 | 2 18 | 6 | 1 | 5 | 5 | 6 | 8 | 1 | 0 19 | 6 | 2 | 5 | 5 | 5 | -1 | 0 | 1 20 | 7 | 1 | 6 | 5 | 6 | 9 | 1 | 0 21 | 7 | 2 | 6 | 5 | 9 | 16 | 1 | 1 22 | 7 | 3 | 6 | 5 | 4 | 3 | 1 | 2 23 | 7 | 4 | 6 | 5 | 3 | 2 | 1 | 3 24 | 7 | 5 | 6 | 5 | 2 | 4 | 1 | 4 25 | 7 | 6 | 6 | 5 | 5 | -1 | 0 | 5 26 | 8 | 1 | 7 | 10 | 6 | 8 | 1 | 0 27 | 8 | 2 | 7 | 10 | 5 | 10 | 1 | 1 28 | 8 | 3 | 7 | 10 | 10 | -1 | 0 | 2 (28 rows) /* -- q6 */ SELECT * FROM pgr_edgeDisjointPaths( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM ( VALUES (3, 4), (6, 5), (3, 10) ) AS t(source, target)' ); seq | path_id | path_seq | start_vid | end_vid | node | edge | cost | agg_cost -----+---------+----------+-----------+---------+------+------+------+---------- 1 | 1 | 1 | 0 | 4 | 3 | 5 | 1 | 0 2 | 1 | 2 | 0 | 4 | 6 | 9 | 1 | 1 3 | 1 | 3 | 0 | 4 | 9 | 16 | 1 | 2 4 | 1 | 4 | 0 | 4 | 4 | -1 | 0 | 3 5 | 2 | 1 | 1 | 5 | 3 | 2 | 1 | 0 6 | 2 | 2 | 1 | 5 | 2 | 4 | 1 | 1 7 | 2 | 3 | 1 | 5 | 5 | -1 | 0 | 2 8 | 3 | 1 | 2 | 5 | 3 | 5 | 1 | 0 9 | 3 | 2 | 2 | 5 | 6 | 8 | 1 | 1 10 | 3 | 3 | 2 | 5 | 5 | -1 | 0 | 2 11 | 4 | 1 | 3 | 10 | 3 | 2 | 1 | 0 12 | 4 | 2 | 3 | 10 | 2 | 4 | 1 | 1 13 | 4 | 3 | 3 | 10 | 5 | 10 | 1 | 2 14 | 4 | 4 | 3 | 10 | 10 | -1 | 0 | 3 15 | 5 | 1 | 4 | 4 | 6 | 9 | 1 | 0 16 | 5 | 2 | 4 | 4 | 9 | 16 | 1 | 1 17 | 5 | 3 | 4 | 4 | 4 | -1 | 0 | 2 18 | 6 | 1 | 5 | 5 | 6 | 8 | 1 | 0 19 | 6 | 2 | 5 | 5 | 5 | -1 | 0 | 1 20 | 7 | 1 | 6 | 5 | 6 | 9 | 1 | 0 21 | 7 | 2 | 6 | 5 | 9 | 16 | 1 | 1 22 | 7 | 3 | 6 | 5 | 4 | 3 | 1 | 2 23 | 7 | 4 | 6 | 5 | 3 | 2 | 1 | 3 24 | 7 | 5 | 6 | 5 | 2 | 4 | 1 | 4 25 | 7 | 6 | 6 | 5 | 5 | -1 | 0 | 5 26 | 8 | 1 | 7 | 10 | 6 | 8 | 1 | 0 27 | 8 | 2 | 7 | 10 | 5 | 10 | 1 | 1 28 | 8 | 3 | 7 | 10 | 10 | -1 | 0 | 2 (28 rows) /* -- q7 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/max_flow/doc-pgr_edgeDisjointPaths.test.sql000066400000000000000000000016511414350551100262360ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_edgeDisjointPaths( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 3, 5 ); /* -- q2 */ SELECT * FROM pgr_edgeDisjointPaths( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 3, 5, directed := false ); /* -- q3 */ SELECT * FROM pgr_edgeDisjointPaths( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 3, ARRAY[4, 5, 10] ); /* -- q4 */ SELECT * FROM pgr_edgeDisjointPaths( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[3, 6], 5 ); /* -- q5 */ SELECT * FROM pgr_edgeDisjointPaths( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', ARRAY[3, 6], ARRAY[4, 5, 10] ); /* -- q6 */ SELECT * FROM pgr_edgeDisjointPaths( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 'SELECT * FROM ( VALUES (3, 4), (6, 5), (3, 10) ) AS t(source, target)' ); /* -- q7 */ pgrouting-3.3.0/docqueries/max_flow/doc-pgr_edmondsKarp.result000066400000000000000000000077361414350551100246500ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_edmondsKarp( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , 6, 11 ); seq | edge | start_vid | end_vid | flow | residual_capacity -----+------+-----------+---------+------+------------------- 1 | 10 | 5 | 10 | 100 | 30 2 | 8 | 6 | 5 | 100 | 30 3 | 11 | 6 | 11 | 130 | 0 4 | 12 | 10 | 11 | 100 | 0 (4 rows) /* -- q2 */ SELECT * FROM pgr_edmondsKarp( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , 6, ARRAY[1, 3, 11] ); seq | edge | start_vid | end_vid | flow | residual_capacity -----+------+-----------+---------+------+------------------- 1 | 1 | 2 | 1 | 50 | 80 2 | 3 | 4 | 3 | 80 | 50 3 | 4 | 5 | 2 | 50 | 0 4 | 10 | 5 | 10 | 80 | 50 5 | 8 | 6 | 5 | 130 | 0 6 | 9 | 6 | 9 | 80 | 50 7 | 11 | 6 | 11 | 130 | 0 8 | 16 | 9 | 4 | 80 | 0 9 | 12 | 10 | 11 | 80 | 20 (9 rows) /* -- q3 */ SELECT * FROM pgr_edmondsKarp( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , ARRAY[6, 8, 12], 11 ); seq | edge | start_vid | end_vid | flow | residual_capacity -----+------+-----------+---------+------+------------------- 1 | 10 | 5 | 10 | 100 | 30 2 | 8 | 6 | 5 | 100 | 30 3 | 11 | 6 | 11 | 130 | 0 4 | 12 | 10 | 11 | 100 | 0 (4 rows) /* -- q4 */ SELECT * FROM pgr_edmondsKarp( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , ARRAY[6, 8, 12], ARRAY[1, 3, 11] ); seq | edge | start_vid | end_vid | flow | residual_capacity -----+------+-----------+---------+------+------------------- 1 | 1 | 2 | 1 | 50 | 80 2 | 3 | 4 | 3 | 80 | 50 3 | 4 | 5 | 2 | 50 | 0 4 | 10 | 5 | 10 | 100 | 30 5 | 8 | 6 | 5 | 130 | 0 6 | 9 | 6 | 9 | 80 | 50 7 | 11 | 6 | 11 | 130 | 0 8 | 7 | 8 | 5 | 20 | 30 9 | 16 | 9 | 4 | 80 | 0 10 | 12 | 10 | 11 | 100 | 0 (10 rows) /* -- q5 */ SELECT * FROM pgr_edmondsKarp( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table', 'SELECT * FROM ( VALUES (6, 1), (8, 3), (12, 11), (8, 1) ) AS t(source, target)' ); seq | edge | start_vid | end_vid | flow | residual_capacity -----+------+-----------+---------+------+------------------- 1 | 1 | 2 | 1 | 50 | 80 2 | 3 | 4 | 3 | 80 | 50 3 | 4 | 5 | 2 | 50 | 0 4 | 10 | 5 | 10 | 100 | 30 5 | 8 | 6 | 5 | 130 | 0 6 | 9 | 6 | 9 | 80 | 50 7 | 11 | 6 | 11 | 130 | 0 8 | 7 | 8 | 5 | 20 | 30 9 | 16 | 9 | 4 | 80 | 0 10 | 12 | 10 | 11 | 100 | 0 (10 rows) /* -- q6 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/max_flow/doc-pgr_edmondsKarp.test.sql000066400000000000000000000020611414350551100250710ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_edmondsKarp( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , 6, 11 ); /* -- q2 */ SELECT * FROM pgr_edmondsKarp( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , 6, ARRAY[1, 3, 11] ); /* -- q3 */ SELECT * FROM pgr_edmondsKarp( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , ARRAY[6, 8, 12], 11 ); /* -- q4 */ SELECT * FROM pgr_edmondsKarp( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , ARRAY[6, 8, 12], ARRAY[1, 3, 11] ); /* -- q5 */ SELECT * FROM pgr_edmondsKarp( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table', 'SELECT * FROM ( VALUES (6, 1), (8, 3), (12, 11), (8, 1) ) AS t(source, target)' ); /* -- q6 */ pgrouting-3.3.0/docqueries/max_flow/doc-pgr_maxCardinalityMatch.result000066400000000000000000000017621414350551100263200ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_maxCardinalityMatch( 'SELECT id, source, target, cost AS going, reverse_cost AS coming FROM edge_table' ); seq | edge | source | target -----+------+--------+-------- 1 | 1 | 1 | 2 2 | 3 | 4 | 3 3 | 9 | 6 | 9 4 | 6 | 7 | 8 5 | 14 | 10 | 13 6 | 13 | 11 | 12 7 | 17 | 14 | 15 8 | 18 | 16 | 17 (8 rows) /* -- q2 */ SELECT * FROM pgr_maxCardinalityMatch( 'SELECT id, source, target, cost AS going, reverse_cost AS coming FROM edge_table', directed := false ); seq | edge | source | target -----+------+--------+-------- 1 | 1 | 1 | 2 2 | 3 | 3 | 4 3 | 9 | 6 | 9 4 | 6 | 7 | 8 5 | 14 | 10 | 13 6 | 13 | 11 | 12 7 | 17 | 14 | 15 8 | 18 | 16 | 17 (8 rows) /* -- q3 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/max_flow/doc-pgr_maxCardinalityMatch.test.sql000066400000000000000000000005001414350551100265440ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_maxCardinalityMatch( 'SELECT id, source, target, cost AS going, reverse_cost AS coming FROM edge_table' ); /* -- q2 */ SELECT * FROM pgr_maxCardinalityMatch( 'SELECT id, source, target, cost AS going, reverse_cost AS coming FROM edge_table', directed := false ); /* -- q3 */ pgrouting-3.3.0/docqueries/max_flow/doc-pgr_maxFlow.result000066400000000000000000000025271414350551100240070ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_maxFlow( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , 6, 11 ); pgr_maxflow ------------- 230 (1 row) /* -- q2 */ SELECT * FROM pgr_maxFlow( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , 6, ARRAY[11, 1, 13] ); pgr_maxflow ------------- 340 (1 row) /* -- q3 */ SELECT * FROM pgr_maxFlow( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , ARRAY[6, 8, 12], 11 ); pgr_maxflow ------------- 230 (1 row) /* -- q4 */ SELECT * FROM pgr_maxFlow( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , ARRAY[6, 8, 12], ARRAY[1, 3, 11] ); pgr_maxflow ------------- 360 (1 row) /* -- q5 */ SELECT * FROM pgr_maxFlow( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table', 'SELECT * FROM ( VALUES (6, 1), (8, 3), (12, 11), (8, 1) ) AS t(source, target)' ); pgr_maxflow ------------- 360 (1 row) /* -- q6 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/max_flow/doc-pgr_maxFlow.test.sql000066400000000000000000000023751414350551100242470ustar00rootroot00000000000000--These tests used the sample data provided here: http://docs.pgrouting.org/2.2/en/doc/src/developer/sampledata.html#sampledata --The edge in the edge table are augmented with road-like categories for capacity values. /* -- q1 */ SELECT * FROM pgr_maxFlow( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , 6, 11 ); /* -- q2 */ SELECT * FROM pgr_maxFlow( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , 6, ARRAY[11, 1, 13] ); /* -- q3 */ SELECT * FROM pgr_maxFlow( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , ARRAY[6, 8, 12], 11 ); /* -- q4 */ SELECT * FROM pgr_maxFlow( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , ARRAY[6, 8, 12], ARRAY[1, 3, 11] ); /* -- q5 */ SELECT * FROM pgr_maxFlow( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table', 'SELECT * FROM ( VALUES (6, 1), (8, 3), (12, 11), (8, 1) ) AS t(source, target)' ); /* -- q6 */ pgrouting-3.3.0/docqueries/max_flow/doc-pgr_maxFlowMinCost.result000066400000000000000000000116061414350551100253020ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_MaxFlowMinCost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', 2, 3 ); seq | edge | source | target | flow | residual_capacity | cost | agg_cost -----+------+--------+--------+------+-------------------+------+---------- 1 | 4 | 2 | 5 | 80 | 20 | 80 | 80 2 | 3 | 4 | 3 | 80 | 50 | 80 | 160 3 | 8 | 5 | 6 | 80 | 20 | 80 | 240 4 | 9 | 6 | 9 | 80 | 50 | 80 | 320 5 | 16 | 9 | 4 | 80 | 0 | 80 | 400 (5 rows) /* -- q2 */ SELECT * FROM pgr_MaxFlowMinCost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', ARRAY[1, 7, 14], 12 ); seq | edge | source | target | flow | residual_capacity | cost | agg_cost -----+------+--------+--------+------+-------------------+------+---------- 1 | 1 | 1 | 2 | 80 | 0 | 80 | 80 2 | 4 | 2 | 5 | 80 | 20 | 80 | 160 3 | 8 | 5 | 6 | 100 | 0 | 100 | 260 4 | 10 | 5 | 10 | 30 | 100 | 30 | 290 5 | 9 | 6 | 9 | 50 | 80 | 50 | 340 6 | 11 | 6 | 11 | 50 | 80 | 50 | 390 7 | 6 | 7 | 8 | 50 | 0 | 50 | 440 8 | 7 | 8 | 5 | 50 | 0 | 50 | 490 9 | 15 | 9 | 12 | 50 | 30 | 50 | 540 10 | 12 | 10 | 11 | 30 | 70 | 30 | 570 11 | 13 | 11 | 12 | 80 | 20 | 80 | 650 (11 rows) /* -- q3 */ SELECT * FROM pgr_MaxFlowMinCost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', 13, ARRAY[7, 1, 4] ); seq | edge | source | target | flow | residual_capacity | cost | agg_cost -----+------+--------+--------+------+-------------------+------+---------- 1 | 1 | 2 | 1 | 50 | 80 | 50 | 50 2 | 4 | 5 | 2 | 50 | 0 | 50 | 100 3 | 16 | 9 | 4 | 50 | 30 | 50 | 150 4 | 10 | 10 | 5 | 50 | 0 | 50 | 200 5 | 12 | 10 | 11 | 50 | 50 | 50 | 250 6 | 13 | 11 | 12 | 50 | 50 | 50 | 300 7 | 15 | 12 | 9 | 50 | 0 | 50 | 350 8 | 14 | 13 | 10 | 100 | 30 | 100 | 450 (8 rows) /* -- q4 */ SELECT * FROM pgr_MaxFlowMinCost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', ARRAY[7, 13], ARRAY[3, 9] ); seq | edge | source | target | flow | residual_capacity | cost | agg_cost -----+------+--------+--------+------+-------------------+------+---------- 1 | 8 | 5 | 6 | 100 | 0 | 100 | 100 2 | 9 | 6 | 9 | 100 | 30 | 100 | 200 3 | 6 | 7 | 8 | 50 | 0 | 50 | 250 4 | 7 | 8 | 5 | 50 | 0 | 50 | 300 5 | 10 | 10 | 5 | 50 | 0 | 50 | 350 6 | 12 | 10 | 11 | 50 | 50 | 50 | 400 7 | 13 | 11 | 12 | 50 | 50 | 50 | 450 8 | 15 | 12 | 9 | 50 | 0 | 50 | 500 9 | 14 | 13 | 10 | 100 | 30 | 100 | 600 (9 rows) /* -- q5 */ SELECT * FROM pgr_MaxFlowMinCost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', 'SELECT * FROM ( VALUES (7, 3), (13, 9) ) AS t(source, target)' ); seq | edge | source | target | flow | residual_capacity | cost | agg_cost -----+------+--------+--------+------+-------------------+------+---------- 1 | 8 | 5 | 6 | 100 | 0 | 100 | 100 2 | 9 | 6 | 9 | 100 | 30 | 100 | 200 3 | 6 | 7 | 8 | 50 | 0 | 50 | 250 4 | 7 | 8 | 5 | 50 | 0 | 50 | 300 5 | 10 | 10 | 5 | 50 | 0 | 50 | 350 6 | 12 | 10 | 11 | 50 | 50 | 50 | 400 7 | 13 | 11 | 12 | 50 | 50 | 50 | 450 8 | 15 | 12 | 9 | 50 | 0 | 50 | 500 9 | 14 | 13 | 10 | 100 | 30 | 100 | 600 (9 rows) /* -- q6 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/max_flow/doc-pgr_maxFlowMinCost.test.sql000066400000000000000000000017211414350551100255360ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_MaxFlowMinCost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', 2, 3 ); /* -- q2 */ SELECT * FROM pgr_MaxFlowMinCost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', ARRAY[1, 7, 14], 12 ); /* -- q3 */ SELECT * FROM pgr_MaxFlowMinCost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', 13, ARRAY[7, 1, 4] ); /* -- q4 */ SELECT * FROM pgr_MaxFlowMinCost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', ARRAY[7, 13], ARRAY[3, 9] ); /* -- q5 */ SELECT * FROM pgr_MaxFlowMinCost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', 'SELECT * FROM ( VALUES (7, 3), (13, 9) ) AS t(source, target)' ); /* -- q6 */ pgrouting-3.3.0/docqueries/max_flow/doc-pgr_maxFlowMinCost_Cost.result000066400000000000000000000027241414350551100262730ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_MaxFlowMinCost_Cost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', 2, 3 ); pgr_maxflowmincost_cost ------------------------- 400 (1 row) /* -- q2 */ SELECT * FROM pgr_MaxFlowMinCost_Cost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', ARRAY[1, 7, 14], 12 ); pgr_maxflowmincost_cost ------------------------- 650 (1 row) /* -- q3 */ SELECT * FROM pgr_MaxFlowMinCost_Cost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', 13, ARRAY[7, 1, 4] ); pgr_maxflowmincost_cost ------------------------- 450 (1 row) /* -- q4 */ SELECT * FROM pgr_MaxFlowMinCost_Cost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', ARRAY[7, 13], ARRAY[3, 9] ); pgr_maxflowmincost_cost ------------------------- 600 (1 row) /* -- q5 */ SELECT * FROM pgr_MaxFlowMinCost_Cost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', 'SELECT * FROM ( VALUES (7, 3), (13, 9) ) AS t(source, target)' ); pgr_maxflowmincost_cost ------------------------- 600 (1 row) /* -- q6 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/max_flow/doc-pgr_maxFlowMinCost_Cost.test.sql000066400000000000000000000017521414350551100265320ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_MaxFlowMinCost_Cost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', 2, 3 ); /* -- q2 */ SELECT * FROM pgr_MaxFlowMinCost_Cost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', ARRAY[1, 7, 14], 12 ); /* -- q3 */ SELECT * FROM pgr_MaxFlowMinCost_Cost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', 13, ARRAY[7, 1, 4] ); /* -- q4 */ SELECT * FROM pgr_MaxFlowMinCost_Cost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', ARRAY[7, 13], ARRAY[3, 9] ); /* -- q5 */ SELECT * FROM pgr_MaxFlowMinCost_Cost( 'SELECT id, source, target, capacity, reverse_capacity, cost, reverse_cost FROM edge_table', 'SELECT * FROM ( VALUES (7, 3), (13, 9) ) AS t(source, target)' ); /* -- q6 */ pgrouting-3.3.0/docqueries/max_flow/doc-pgr_pushRelabel.result000066400000000000000000000106161414350551100246360ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_pushRelabel( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , 6, 11 ); seq | edge | start_vid | end_vid | flow | residual_capacity -----+------+-----------+---------+------+------------------- 1 | 10 | 5 | 10 | 100 | 30 2 | 8 | 6 | 5 | 100 | 30 3 | 11 | 6 | 11 | 130 | 0 4 | 12 | 10 | 11 | 100 | 0 (4 rows) /* -- q2 */ SELECT * FROM pgr_pushRelabel( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , 6, ARRAY[11, 1, 13] ); seq | edge | start_vid | end_vid | flow | residual_capacity -----+------+-----------+---------+------+------------------- 1 | 1 | 2 | 1 | 130 | 0 2 | 2 | 3 | 2 | 80 | 20 3 | 3 | 4 | 3 | 80 | 50 4 | 4 | 5 | 2 | 50 | 0 5 | 7 | 5 | 8 | 50 | 80 6 | 10 | 5 | 10 | 80 | 50 7 | 8 | 6 | 5 | 130 | 0 8 | 9 | 6 | 9 | 80 | 50 9 | 11 | 6 | 11 | 130 | 0 10 | 6 | 7 | 8 | 50 | 0 11 | 6 | 8 | 7 | 50 | 50 12 | 7 | 8 | 5 | 50 | 0 13 | 16 | 9 | 4 | 80 | 0 14 | 12 | 10 | 11 | 80 | 20 (14 rows) /* -- q3 */ SELECT * FROM pgr_pushRelabel( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , ARRAY[6, 8, 12], 11 ); seq | edge | start_vid | end_vid | flow | residual_capacity -----+------+-----------+---------+------+------------------- 1 | 10 | 5 | 10 | 100 | 30 2 | 8 | 6 | 5 | 100 | 30 3 | 11 | 6 | 11 | 130 | 0 4 | 12 | 10 | 11 | 100 | 0 (4 rows) /* -- q4 */ SELECT * FROM pgr_pushRelabel( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , ARRAY[6, 8, 12], ARRAY[1, 3, 11] ); seq | edge | start_vid | end_vid | flow | residual_capacity -----+------+-----------+---------+------+------------------- 1 | 1 | 2 | 1 | 50 | 80 2 | 3 | 4 | 3 | 80 | 50 3 | 4 | 5 | 2 | 50 | 0 4 | 10 | 5 | 10 | 100 | 30 5 | 8 | 6 | 5 | 130 | 0 6 | 9 | 6 | 9 | 30 | 100 7 | 11 | 6 | 11 | 130 | 0 8 | 7 | 8 | 5 | 20 | 30 9 | 16 | 9 | 4 | 80 | 0 10 | 12 | 10 | 11 | 100 | 0 11 | 15 | 12 | 9 | 50 | 0 (11 rows) /* -- q5 */ SELECT * FROM pgr_pushRelabel( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table', 'SELECT * FROM ( VALUES (6, 1), (8, 3), (12, 11), (8, 1) ) AS t(source, target)' ); seq | edge | start_vid | end_vid | flow | residual_capacity -----+------+-----------+---------+------+------------------- 1 | 1 | 2 | 1 | 50 | 80 2 | 3 | 4 | 3 | 80 | 50 3 | 4 | 5 | 2 | 50 | 0 4 | 10 | 5 | 10 | 100 | 30 5 | 8 | 6 | 5 | 130 | 0 6 | 9 | 6 | 9 | 30 | 100 7 | 11 | 6 | 11 | 130 | 0 8 | 7 | 8 | 5 | 20 | 30 9 | 16 | 9 | 4 | 80 | 0 10 | 12 | 10 | 11 | 100 | 0 11 | 15 | 12 | 9 | 50 | 0 (11 rows) /* -- q6 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/max_flow/doc-pgr_pushRelabel.test.sql000066400000000000000000000024211414350551100250700ustar00rootroot00000000000000--These tests used the sample data provided here: http://docs.pgrouting.org/2.2/en/doc/src/developer/sampledata.html#sampledata --The edge in the edge table are augmented with road-like categories for capacity values. /* -- q1 */ SELECT * FROM pgr_pushRelabel( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , 6, 11 ); /* -- q2 */ SELECT * FROM pgr_pushRelabel( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , 6, ARRAY[11, 1, 13] ); /* -- q3 */ SELECT * FROM pgr_pushRelabel( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , ARRAY[6, 8, 12], 11 ); /* -- q4 */ SELECT * FROM pgr_pushRelabel( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table' , ARRAY[6, 8, 12], ARRAY[1, 3, 11] ); /* -- q5 */ SELECT * FROM pgr_pushRelabel( 'SELECT id, source, target, capacity, reverse_capacity FROM edge_table', 'SELECT * FROM ( VALUES (6, 1), (8, 3), (12, 11), (8, 1) ) AS t(source, target)' ); /* -- q6 */ pgrouting-3.3.0/docqueries/max_flow/test.conf000066400000000000000000000014561414350551100213450ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'Max flow and applications test for any versions.', 'data' => [ ], 'tests' => [qw( doc-pgr_maxFlow doc-pgr_boykovKolmogorov doc-pgr_pushRelabel doc-pgr_edmondsKarp doc-pgr_maxCardinalityMatch doc-pgr_edgeDisjointPaths doc-pgr_maxFlowMinCost doc-pgr_maxFlowMinCost_Cost )], 'documentation' => [qw( doc-pgr_maxFlow doc-pgr_boykovKolmogorov doc-pgr_pushRelabel doc-pgr_edmondsKarp doc-pgr_maxCardinalityMatch doc-pgr_edgeDisjointPaths doc-pgr_maxFlowMinCost doc-pgr_maxFlowMinCost_Cost )] }, ); 1; pgrouting-3.3.0/docqueries/mincut/000077500000000000000000000000001414350551100171745ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/mincut/CMakeLists.txt000066400000000000000000000005321414350551100217340ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-stoerWagner ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/mincut/doc-stoerWagner.result000066400000000000000000000023531414350551100235020ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_stoerWagner( 'SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id < 17' ); seq | edge | cost | mincut -----+------+------+-------- 1 | 1 | 1 | 1 (1 row) /* -- q2 */ SELECT * FROM pgr_stoerWagner( 'SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id = 18' ); seq | edge | cost | mincut -----+------+------+-------- 1 | 18 | 1 | 1 (1 row) /* -- q3 */ SELECT * FROM pgr_stoerWagner( $$ SELECT id, source, target, cost, reverse_cost FROM edge_table where source = any (ARRAY(SELECT node FROM pgr_connectedComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ') WHERE component = 14) ) OR target = any (ARRAY(SELECT node FROM pgr_connectedComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ') WHERE component = 14) ) $$ ); seq | edge | cost | mincut -----+------+------+-------- 1 | 17 | 1 | 1 (1 row) /* -- q4 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/mincut/doc-stoerWagner.test.sql000066400000000000000000000016301414350551100237360ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_stoerWagner( 'SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id < 17' ); /* -- q2 */ SELECT * FROM pgr_stoerWagner( 'SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id = 18' ); /* -- q3 */ SELECT * FROM pgr_stoerWagner( $$ SELECT id, source, target, cost, reverse_cost FROM edge_table where source = any (ARRAY(SELECT node FROM pgr_connectedComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ') WHERE component = 14) ) OR target = any (ARRAY(SELECT node FROM pgr_connectedComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ') WHERE component = 14) ) $$ ); /* -- q4 */ pgrouting-3.3.0/docqueries/mincut/test.conf000066400000000000000000000004361414350551100210250ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'stoer_wagner algorithm tets.', 'data' => [ ], 'tests' => [qw( doc-stoerWagner )], 'documentation' => [qw( doc-stoerWagner )] }, ); 1; pgrouting-3.3.0/docqueries/pickDeliver/000077500000000000000000000000001414350551100201365ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/pickDeliver/CMakeLists.txt000066400000000000000000000005671414350551100227060ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pickDeliverEuclidean doc-pickDeliver ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/pickDeliver/bencharkTest/000077500000000000000000000000001414350551100225535ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/pickDeliver/bencharkTest/README.vrpdptw-testdata000066400000000000000000000023301414350551100267450ustar00rootroot00000000000000 # Li & Lim benchmark Here you find instance definitions and the best known solutions (to our knowledge) for the 100, 200, 400, 600, 800, and 1000 customer instances of Li & Lim's PDPTW benchmark problems. The version reported here has a hierarchical objective: 1. Minimize number of vehicles 2. Minimize total distance. Distance and time should be calculated with double precision, total distance results are rounded to two decimals. Exact methods typically use a total distance objective and use integral or low precision distance and time calculations. Hence, results are not directly comparable. This data base was built from data published at http://www.sintef.no/Projectweb/TOP/PDPTW/Li--Lim-benchmark/ The data loads into a schema named "testdata" and there are 352 test cases with each test cases loaded into a table. there is a summary table called "pdp_problems" which lists each data table as "instance" and provides additional information about the best know result and the number of vehicles and vehicle capacity for each test cases. You might load these with commands like: ``` createdb -U postgres -h localhost pickdelivery_tests zcat vrpdptw-testdata.sql.gz | psql -U postgres -h localhost pickdelivery_tests ``` pgrouting-3.3.0/docqueries/pickDeliver/bencharkTest/lc101_test.sql000066400000000000000000000004301414350551100251500ustar00rootroot00000000000000 DROP EXTENSION pgrouting; CREATE EXTENSION pgrouting; SET search_path TO testdata, public; SELECT * FROM pgr_pickDeliver( 'select nid as id, service as stime, tw_open as etime, tw_close as ltime, pid as pindex, did as dindex, x, y, demand from lc101'::text, 25, 200, 30) ; pgrouting-3.3.0/docqueries/pickDeliver/bencharkTest/vrpdptw-testdata.sql.gz000066400000000000000000074733411414350551100272530ustar00rootroot00000000000000‹iáSvrpdptw-testdata.sqläý]¯-Çq%Š>¯úëÍ6ÀeW~gJ¸jKF7 K>6}ú6ÐA“ÛoK$I[Ö¿¿9ƈȪ¹öÞtu_N_`®nÉ"WÍY³*?"cDŒñò²½¼<ÿÝ7ßÿð/ß½û‡ÿë×Ï_~þÃçÿôù÷ïž¿ü×?|;¯mÛ?üêÓçïøü‡wx÷õŸýðÕÞ}ó¯?<ÿ¿ž÷ŸóÒ¿ÿ 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»x!b'<øºÃ_~ÿåó—ôÇÜâO?¬Ó²¥WŽ?yÒ;ÿ¥sþ×Ôðoÿé—ŸÀ¡ùîçï?ýþÏ?}ùÿøÓ—¿ÿÓ÷èÃÿÊt“ç"Ê^pgrouting-3.3.0/docqueries/pickDeliver/book_from_query.result000066400000000000000000000434461414350551100246130ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET DROP TABLE IF EXISTS jet_stops; NOTICE: table "jet_stops" does not exist, skipping DROP TABLE DROP TABLE IF EXISTS jet_flyers; NOTICE: table "jet_flyers" does not exist, skipping DROP TABLE DROP TABLE IF EXISTS jet_orders; NOTICE: table "jet_orders" does not exist, skipping DROP TABLE DROP TABLE IF EXISTS jet_airplane; NOTICE: table "jet_airplane" does not exist, skipping DROP TABLE DROP TABLE IF EXISTS jet_trips; NOTICE: table "jet_trips" does not exist, skipping DROP TABLE DROP TABLE IF EXISTS vrp_solution; NOTICE: table "vrp_solution" does not exist, skipping DROP TABLE CREATE TABLE jet_stops ( id SERIAL, iata_faa TEXT, city TEXT, x integer, y integer, longitude double precision, latitude double precision ); CREATE TABLE INSERT INTO jet_stops (iata_faa, city, longitude, latitude) VALUES ('BOS', 'Boston', -71.005180999999993, 42.364347000000002), ('BGR', 'Bangor', -68.828138999999993, 44.807443999999997), ('MIA', 'Miami', -80.290555999999995, 25.79325), ('TEB', 'Teterboro NJ', -74.060837000000006, 40.850102999999997), ('MVY', 'Martha''s Vineyard', -70.615278000000004, 41.391666999999998), ('ABE', 'Lehigh Valley', -75.440805999999995, 40.652082999999998), ('BKW', 'Raleigh County Memorial', -81.124200000000002, 37.787300000000002), ('BGE', 'Decatur County Industrial', -84.636927799999995, 30.971598100000001); INSERT 0 8 UPDATE jet_stops SET x = ST_X(ST_Transform(ST_SetSRID(ST_point(longitude, latitude)::geometry,4326),2163)), y = ST_Y(ST_Transform(ST_SetSRID(ST_point(longitude, longitude)::geometry,4326),2163)); UPDATE 8 CREATE TABLE jet_flyers AS SELECT row_number() over() AS id, s1.iata_faa AS from_airport, s2.iata_faa AS to_airport, (1 + mod(s1.id, 5))::integer AS num_passengers, mod(s1.id,7)*60 AS departureFromTime, (mod(s1.id,7) + 4) * 60 AS arrivalToTime FROM (SELECT * FROM jet_stops WHERE id < 4) AS s1, (SELECT * FROM jet_stops WHERE id >= 4) AS s2 WHERE s1.id <> s2.id; SELECT 15 CREATE TABLE jet_orders AS SELECT id, num_passengers AS demand, (SELECT x FROM jet_stops WHERE iata_faa = jet_flyers.from_airport) AS p_x, (SELECT y FROM jet_stops WHERE iata_faa = jet_flyers.from_airport) AS p_y, departureFromTime AS p_open, arrivalToTime AS p_close, (SELECT x FROM jet_stops WHERE iata_faa = jet_flyers.to_airport) AS d_x, (SELECT y FROM jet_stops WHERE iata_faa = jet_flyers.to_airport) AS d_y, departureFromTime AS d_open, arrivalToTime AS d_close, from_airport, to_airport FROM jet_flyers; SELECT 15 CREATE TABLE jet_airplane AS SELECT 1 AS id, 5 AS capacity, 10000 AS speed, 20 as "number", x AS start_x, y AS start_y, 0 AS start_open, 300 AS start_close, 0 AS start_service FROM jet_stops WHERE iata_faa = 'TEB'; SELECT 1 CREATE TABLE vrp_solution AS SELECT * FROM _pgr_pickDeliverEuclidean( $$ SELECT * FROM jet_orders $$, $$ SELECT * FROM jet_airplane $$ ); SELECT 47 CREATE TABLE jet_trips AS WITH the_results AS ( SELECT vrp_solution.*, from_airport, to_airport, CASE WHEN stop_type = 1 THEN ST_POINT(p_x, p_y) WHEN stop_type = 2 THEN ST_POINT(d_x, d_y) WHEN stop_type = 0 THEN ST_POINT(start_x, start_y) END AS geom FROM vrp_solution LEFT JOIN jet_orders on (order_id = jet_orders.id) LEFT JOIN jet_airplane on (vehicle_id = jet_airplane.id) ) SELECT *, ST_SetSRID(ST_MakeLine(geom, lead(geom) over(order by seq)),2163) AS lines from the_results; SELECT 47 SELECT * FROM jet_orders; id | demand | p_x | p_y | p_open | p_close | d_x | d_y | d_open | d_close | from_airport | to_airport ----+--------+---------+-----------+--------+---------+---------+-----------+--------+---------+--------------+------------ 1 | 2 | 2320738 | -10738754 | 60 | 300 | 2138410 | -10946747 | 60 | 300 | BOS | TEB 2 | 2 | 2320738 | -10738754 | 60 | 300 | 2387491 | -10710759 | 60 | 300 | BOS | MVY 3 | 2 | 2320738 | -10738754 | 60 | 300 | 2035311 | -11034361 | 60 | 300 | BOS | ABE 4 | 2 | 2320738 | -10738754 | 60 | 300 | 1644577 | -11358423 | 60 | 300 | BOS | BKW 5 | 2 | 2320738 | -10738754 | 60 | 300 | 1466239 | -11533361 | 60 | 300 | BOS | BGE 6 | 3 | 2383186 | -10578021 | 120 | 360 | 2138410 | -10946747 | 120 | 360 | BGR | TEB 7 | 3 | 2383186 | -10578021 | 120 | 360 | 2387491 | -10710759 | 120 | 360 | BGR | MVY 8 | 3 | 2383186 | -10578021 | 120 | 360 | 2035311 | -11034361 | 120 | 360 | BGR | ABE 9 | 3 | 2383186 | -10578021 | 120 | 360 | 1644577 | -11358423 | 120 | 360 | BGR | BKW 10 | 3 | 2383186 | -10578021 | 120 | 360 | 1466239 | -11533361 | 120 | 360 | BGR | BGE 11 | 4 | 1981145 | -11314287 | 180 | 420 | 2138410 | -10946747 | 180 | 420 | MIA | TEB 12 | 4 | 1981145 | -11314287 | 180 | 420 | 2387491 | -10710759 | 180 | 420 | MIA | MVY 13 | 4 | 1981145 | -11314287 | 180 | 420 | 2035311 | -11034361 | 180 | 420 | MIA | ABE 14 | 4 | 1981145 | -11314287 | 180 | 420 | 1644577 | -11358423 | 180 | 420 | MIA | BKW 15 | 4 | 1981145 | -11314287 | 180 | 420 | 1466239 | -11533361 | 180 | 420 | MIA | BGE (15 rows) SELECT * FROM jet_trips; seq | vehicle_number | vehicle_id | vehicle_seq | order_id | stop_type | cargo | travel_time | arrival_time | wait_time | service_time | departure_time | from_airport | to_airport | geom | lines -----+----------------+------------+-------------+----------+-----------+-------+------------------+------------------+------------------+--------------+------------------+--------------+------------+--------------------------------------------+-------------------------------------------------------------------------------------------- 1 | 1 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | | | | 2 | 1 | 1 | 2 | 7 | 2 | 3 | 44.2576720187585 | 44.2576720187585 | 75.7423279812415 | 0 | 120 | BGR | MVY | 01010000000000008011374241000000E0DC6D64C1 | 3 | 1 | 1 | 3 | 7 | 3 | 0 | 13.2807792199855 | 133.280779219986 | 0 | 0 | 133.280779219986 | BGR | MVY | | 4 | 1 | 1 | 4 | 8 | 2 | 3 | 13.2807792199855 | 146.561558439971 | 0 | 0 | 146.561558439971 | BGR | ABE | 0101000000000000006F0E3F4100000020DF0B65C1 | 01020000207308000002000000000000006F0E3F4100000020DF0B65C100000000955040410000006017E164C1 5 | 1 | 1 | 5 | 1 | 2 | 5 | 17.2437959837734 | 163.805354423745 | 0 | 0 | 163.805354423745 | BOS | TEB | 010100000000000000955040410000006017E164C1 | 6 | 1 | 1 | 6 | 12 | 3 | 1 | 7.23856548910072 | 171.043919912845 | 8.95608008715473 | 0 | 180 | MIA | MVY | | 7 | 1 | 1 | 7 | 12 | 2 | 5 | 72.7573445433518 | 252.757344543352 | 0 | 0 | 252.757344543352 | MIA | MVY | 01010000000000008011374241000000E0DC6D64C1 | 8 | 1 | 1 | 8 | 8 | 3 | 2 | 28.5118433343058 | 281.269187877658 | 0 | 0 | 281.269187877658 | BGR | ABE | | 9 | 1 | 1 | 9 | 1 | 3 | 0 | 13.5298251271035 | 294.799013004761 | 0 | 0 | 294.799013004761 | BOS | TEB | | 10 | 1 | 1 | 10 | -1 | 6 | 0 | 0 | 294.799013004761 | 0 | 0 | 294.799013004761 | | | | 11 | 2 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | | | | 12 | 2 | 1 | 2 | 4 | 2 | 2 | 27.6594626905513 | 27.6594626905513 | 32.3405373094487 | 0 | 60 | BOS | BKW | 01010000000000000021183941000000E01AAA65C1 | 010200002073080000020000000000000021183941000000E01AAA65C10000000021183941000000E01AAA65C1 13 | 2 | 1 | 3 | 9 | 2 | 5 | 17.2437959837734 | 77.2437959837734 | 42.7562040162266 | 0 | 120 | BGR | BKW | 01010000000000000021183941000000E01AAA65C1 | 14 | 2 | 1 | 4 | 9 | 3 | 2 | 107.450943992363 | 227.450943992363 | 0 | 0 | 227.450943992363 | BGR | BKW | | 15 | 2 | 1 | 5 | 4 | 3 | 0 | 0 | 227.450943992363 | 0 | 0 | 227.450943992363 | BOS | BKW | | 16 | 2 | 1 | 6 | -1 | 6 | 0 | 64.2921582205015 | 291.743102212865 | 0 | 0 | 291.743102212865 | | | | 17 | 3 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | | | | 18 | 3 | 1 | 2 | 3 | 2 | 2 | 27.6594626905513 | 27.6594626905513 | 32.3405373094487 | 0 | 60 | BOS | ABE | 0101000000000000006F0E3F4100000020DF0B65C1 | 01020000207308000002000000000000006F0E3F4100000020DF0B65C1000000007F5F36410000002086FF65C1 19 | 3 | 1 | 3 | 5 | 2 | 4 | 0 | 60 | 0 | 0 | 60 | BOS | BGE | 0101000000000000007F5F36410000002086FF65C1 | 20 | 3 | 1 | 4 | 3 | 3 | 2 | 41.0916135942603 | 101.09161359426 | 0 | 0 | 101.09161359426 | BOS | ABE | | 21 | 3 | 1 | 5 | 5 | 3 | 0 | 75.686454612698 | 176.778068206958 | 0 | 0 | 176.778068206958 | BOS | BGE | | 22 | 3 | 1 | 6 | 11 | 2 | 4 | 55.9572699755805 | 232.735338182539 | 0 | 0 | 232.735338182539 | MIA | TEB | 010100000000000000955040410000006017E164C1 | 23 | 3 | 1 | 7 | 11 | 3 | 0 | 39.9772350000597 | 272.712573182599 | 0 | 0 | 272.712573182599 | MIA | TEB | | 24 | 3 | 1 | 8 | -1 | 6 | 0 | 0 | 272.712573182599 | 0 | 0 | 272.712573182599 | | | | 25 | 4 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | | | | 26 | 4 | 1 | 2 | 13 | 2 | 4 | 39.9772350000597 | 39.9772350000597 | 140.02276499994 | 0 | 180 | MIA | ABE | 0101000000000000006F0E3F4100000020DF0B65C1 | 27 | 4 | 1 | 3 | 13 | 3 | 0 | 28.5118433343058 | 208.511843334306 | 0 | 0 | 208.511843334306 | MIA | ABE | | 28 | 4 | 1 | 4 | -1 | 6 | 0 | 13.5298251271035 | 222.041668461409 | 0 | 0 | 222.041668461409 | | | | 29 | 5 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | | | | 30 | 5 | 1 | 2 | 14 | 2 | 4 | 39.9772350000597 | 39.9772350000597 | 140.02276499994 | 0 | 180 | MIA | BKW | 01010000000000000021183941000000E01AAA65C1 | 31 | 5 | 1 | 3 | 14 | 3 | 0 | 33.9449561967607 | 213.944956196761 | 0 | 0 | 213.944956196761 | MIA | BKW | | 32 | 5 | 1 | 4 | -1 | 6 | 0 | 64.2921582205015 | 278.237114417262 | 0 | 0 | 278.237114417262 | | | | 33 | 6 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | | | | 34 | 6 | 1 | 2 | 6 | 2 | 3 | 44.2576720187585 | 44.2576720187585 | 75.7423279812415 | 0 | 120 | BGR | TEB | 010100000000000000955040410000006017E164C1 | 35 | 6 | 1 | 3 | 6 | 3 | 0 | 44.2576720187585 | 164.257672018759 | 0 | 0 | 164.257672018759 | BGR | TEB | | 36 | 6 | 1 | 4 | -1 | 6 | 0 | 0 | 164.257672018759 | 0 | 0 | 164.257672018759 | | | | 37 | 7 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | | | | 38 | 7 | 1 | 2 | 2 | 2 | 2 | 27.6594626905513 | 27.6594626905513 | 32.3405373094487 | 0 | 60 | BOS | MVY | 01010000000000008011374241000000E0DC6D64C1 | 39 | 7 | 1 | 3 | 2 | 3 | 0 | 7.23856548910072 | 67.2385654891007 | 0 | 0 | 67.2385654891007 | BOS | MVY | | 40 | 7 | 1 | 4 | -1 | 6 | 0 | 34.3120504640862 | 101.550615953187 | 0 | 0 | 101.550615953187 | | | | 41 | 8 | -1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | | | | 42 | 8 | -1 | 2 | 10 | 2 | 3 | 44.2576720187585 | 44.2576720187585 | 75.7423279812415 | 0 | 120 | BGR | BGE | 0101000000000000007F5F36410000002086FF65C1 | 01020000207308000002000000000000007F5F36410000002086FF65C1000000007F5F36410000002086FF65C1 43 | 8 | -1 | 3 | 15 | 2 | 7 | 83.8882940842761 | 203.888294084276 | 0 | 0 | 203.888294084276 | MIA | BGE | 0101000000000000007F5F36410000002086FF65C1 | 44 | 8 | -1 | 4 | 15 | 3 | 3 | 55.9572699755805 | 259.845564059857 | 0 | 0 | 259.845564059857 | MIA | BGE | | 45 | 8 | -1 | 5 | 10 | 3 | 0 | 0 | 259.845564059857 | 0 | 0 | 259.845564059857 | BGR | BGE | | 46 | 8 | -1 | 6 | -1 | 6 | 0 | 89.2149000020176 | 349.060464061874 | 0 | 0 | 349.060464061874 | | | | 47 | -2 | 0 | 0 | -1 | -1 | -1 | 1318.39581333738 | -1 | 656.006409975332 | 0 | 1974.40222331272 | | | | (47 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/pickDeliver/book_from_query.test.sql000066400000000000000000000066031414350551100250440ustar00rootroot00000000000000DROP TABLE IF EXISTS jet_stops; DROP TABLE IF EXISTS jet_flyers; DROP TABLE IF EXISTS jet_orders; DROP TABLE IF EXISTS jet_airplane; DROP TABLE IF EXISTS jet_trips; DROP TABLE IF EXISTS vrp_solution; CREATE TABLE jet_stops ( id SERIAL, iata_faa TEXT, city TEXT, x integer, y integer, longitude double precision, latitude double precision ); INSERT INTO jet_stops (iata_faa, city, longitude, latitude) VALUES ('BOS', 'Boston', -71.005180999999993, 42.364347000000002), ('BGR', 'Bangor', -68.828138999999993, 44.807443999999997), ('MIA', 'Miami', -80.290555999999995, 25.79325), ('TEB', 'Teterboro NJ', -74.060837000000006, 40.850102999999997), ('MVY', 'Martha''s Vineyard', -70.615278000000004, 41.391666999999998), ('ABE', 'Lehigh Valley', -75.440805999999995, 40.652082999999998), ('BKW', 'Raleigh County Memorial', -81.124200000000002, 37.787300000000002), ('BGE', 'Decatur County Industrial', -84.636927799999995, 30.971598100000001); UPDATE jet_stops SET x = ST_X(ST_Transform(ST_SetSRID(ST_point(longitude, latitude)::geometry,4326),2163)), y = ST_Y(ST_Transform(ST_SetSRID(ST_point(longitude, longitude)::geometry,4326),2163)); CREATE TABLE jet_flyers AS SELECT row_number() over() AS id, s1.iata_faa AS from_airport, s2.iata_faa AS to_airport, (1 + mod(s1.id, 5))::integer AS num_passengers, -- the passengers don't want to depart before this time mod(s1.id,7)*60 AS departureFromTime, -- the passengers don't want to arrive after this time (mod(s1.id,7) + 4) * 60 AS arrivalToTime FROM -- people departing from BOS BGR MIA TEB (SELECT * FROM jet_stops WHERE id < 4) AS s1, -- people want to go to MVY ABE BKW BGE (SELECT * FROM jet_stops WHERE id >= 4) AS s2 WHERE s1.id <> s2.id; -- Listing Create jet_orders table to be used in pgr_pickDeliverEuclidean CREATE TABLE jet_orders AS SELECT id, num_passengers AS demand, (SELECT x FROM jet_stops WHERE iata_faa = jet_flyers.from_airport) AS p_x, (SELECT y FROM jet_stops WHERE iata_faa = jet_flyers.from_airport) AS p_y, departureFromTime AS p_open, arrivalToTime AS p_close, (SELECT x FROM jet_stops WHERE iata_faa = jet_flyers.to_airport) AS d_x, (SELECT y FROM jet_stops WHERE iata_faa = jet_flyers.to_airport) AS d_y, departureFromTime AS d_open, arrivalToTime AS d_close, from_airport, to_airport FROM jet_flyers; -- CREATE TABLE jet_airplane AS SELECT 1 AS id, -- small plane 5 AS capacity, -- not so fast 10000 AS speed, -- mts/min 20 as "number", x AS start_x, y AS start_y, 0 AS start_open, 300 AS start_close, 0 AS start_service FROM jet_stops WHERE iata_faa = 'TEB'; CREATE TABLE vrp_solution AS SELECT * FROM _pgr_pickDeliverEuclidean( $$ SELECT * FROM jet_orders $$, $$ SELECT * FROM jet_airplane $$ ); CREATE TABLE jet_trips AS WITH the_results AS ( SELECT vrp_solution.*, from_airport, to_airport, CASE WHEN stop_type = 1 THEN ST_POINT(p_x, p_y) WHEN stop_type = 2 THEN ST_POINT(d_x, d_y) WHEN stop_type = 0 THEN ST_POINT(start_x, start_y) END AS geom FROM vrp_solution LEFT JOIN jet_orders on (order_id = jet_orders.id) LEFT JOIN jet_airplane on (vehicle_id = jet_airplane.id) ) SELECT *, ST_SetSRID(ST_MakeLine(geom, lead(geom) over(order by seq)),2163) AS lines from the_results; SELECT * FROM jet_orders; SELECT * FROM jet_trips; pgrouting-3.3.0/docqueries/pickDeliver/book_vrp.result000066400000000000000000000000001414350551100232050ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/pickDeliver/book_vrp.test.sql000066400000000000000000002200241414350551100234560ustar00rootroot00000000000000DROP TABLE IF EXISTS jet_customers; /* CREATE TABLE trucks(id integer primary key, truck_name varchar(75), capacity integer ); INSERT INTO trucks(id, truck_name, capacity) VALUES (1, 'Hardy Truck', 800), (2, 'Laurel Truck', 400); CREATE TABLE restaurants_99(id integer primary key, loc_name varchar(150), lon float, lat float); INSERT INTO restaurants_99(id, loc_name, lon, lat) VALUES (1, 'Bristol, CT', -72.8924, 41.66892), (2, 'Cromwell, CT', -72.67615, 41.60165), (3, 'Danbury, CT', -73.41376, 41.41008), (4, 'Enfield, CT', -72.57634, 41.98837), (5, 'Glastonbury, CT', -72.61592, 41.72646), (6, 'Groton, CT', -72.06683, 41.36298), (7, 'Dayville, CT', -71.8824882, 41.8425568), (8, 'Norwich, CT', -72.10508, 41.51431), (9, 'Stratford, CT', -73.12182, 41.19878), (10, 'Torrington, CT', -73.12131, 41.79984), (11, 'Vernon, CT', -72.49305, 41.82647), (12, 'Wallingford, CT', -72.8092, 41.4835); */ CREATE TABLE jet_customers ( airport character varying, id integer, x double precision, y double precision, pindex integer, dindex integer, demand integer, opentime double precision, closetime double precision, servicetime double precision ); /* -- -- TOC entry 290 (class 1259 OID 6616043) -- Name: vrp1_cost; Type: TABLE; Schema: public; Owner: postgres -- CREATE TABLE vrp1_cost ( src_id integer, dest_id integer, cost double precision, distance double precision, traveltime double precision ); -- -- TOC entry 291 (class 1259 OID 6616046) -- Name: vrp1_gdist; Type: TABLE; Schema: public; Owner: postgres -- CREATE TABLE vrp1_gdist ( src_id integer, dest_id integer, cost double precision, distance double precision, traveltime double precision ); -- -- TOC entry 285 (class 1259 OID 6607823) -- Name: vrp1_orders; Type: TABLE; Schema: public; Owner: postgres -- CREATE TABLE vrp1_orders ( id integer, x numeric, y numeric, order_unit integer, open_time integer, close_time integer, service_time integer ); -- -- TOC entry 289 (class 1259 OID 6616034) -- Name: vrp1_points; Type: TABLE; Schema: public; Owner: postgres -- CREATE TABLE vrp1_points ( id integer, pid integer, geom geometry(Point,4326), edge_id integer, fraction double precision, closest_node integer ); -- -- TOC entry 297 (class 1259 OID 8777648) -- Name: vrpdtw_beer; Type: TABLE; Schema: public; Owner: postgres -- CREATE TABLE vrpdtw_beer ( rid integer, id integer, x double precision, y double precision, opentime integer, closetime integer, servicetime integer, demand integer, pindex integer, dindex integer ); */ -- INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 1, 2320738.4688434978, 126348.38967116659, 0, 2, 4, 3448, 2853448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 3, 2320738.4688434978, 126348.38967116659, 0, 4, 4, 3448, 2853448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 5, 2320738.4688434978, 126348.38967116659, 0, 6, 4, 3448, 2853448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 7, 2320738.4688434978, 126348.38967116659, 0, 8, 4, 3448, 2853448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 9, 2320738.4688434978, 126348.38967116659, 0, 10, 4, 3448, 2853448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 11, 2320738.4688434978, 126348.38967116659, 0, 12, 4, 3448, 2853448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 13, 2383186.1525343237, 448251.25888828852, 0, 14, 4, 3463, 2853463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 15, 2383186.1525343237, 448251.25888828852, 0, 16, 4, 3463, 2853463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 17, 2383186.1525343237, 448251.25888828852, 0, 18, 4, 3463, 2853463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 19, 2383186.1525343237, 448251.25888828852, 0, 20, 4, 3463, 2853463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 21, 2383186.1525343237, 448251.25888828852, 0, 22, 4, 3463, 2853463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 23, 2383186.1525343237, 448251.25888828852, 0, 24, 4, 3463, 2853463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 25, 1981144.5525029898, -1903041.2384292425, 0, 26, 2, 3576, 2853576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 27, 1981144.5525029898, -1903041.2384292425, 0, 28, 2, 3576, 2853576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 29, 1981144.5525029898, -1903041.2384292425, 0, 30, 2, 3576, 2853576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 31, 1981144.5525029898, -1903041.2384292425, 0, 32, 2, 3576, 2853576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 33, 1981144.5525029898, -1903041.2384292425, 0, 34, 2, 3576, 2853576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 35, 1981144.5525029898, -1903041.2384292425, 0, 36, 2, 3576, 2853576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 37, 2138409.5568088419, -119451.50568778868, 0, 38, 5, 3624, 2853624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 39, 2138409.5568088419, -119451.50568778868, 0, 40, 5, 3624, 2853624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 41, 2138409.5568088419, -119451.50568778868, 0, 42, 5, 3624, 2853624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 43, 2138409.5568088419, -119451.50568778868, 0, 44, 5, 3624, 2853624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 45, 2138409.5568088419, -119451.50568778868, 0, 46, 5, 3624, 2853624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 47, 2138409.5568088419, -119451.50568778868, 0, 48, 5, 3624, 2853624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 49, 2387491.1007072991, 34459.351848672632, 0, 50, 1, 4265, 2854265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 51, 2387491.1007072991, 34459.351848672632, 0, 52, 1, 4265, 2854265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 53, 2387491.1007072991, 34459.351848672632, 0, 54, 1, 4265, 2854265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 55, 2387491.1007072991, 34459.351848672632, 0, 56, 1, 4265, 2854265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 57, 2387491.1007072991, 34459.351848672632, 0, 58, 1, 4265, 2854265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 59, 2387491.1007072991, 34459.351848672632, 0, 60, 1, 4265, 2854265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 61, 2035310.7411768832, -176076.78362264115, 0, 62, 1, 4355, 2854355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 63, 2035310.7411768832, -176076.78362264115, 0, 64, 1, 4355, 2854355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 65, 2035310.7411768832, -176076.78362264115, 0, 66, 1, 4355, 2854355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 67, 2035310.7411768832, -176076.78362264115, 0, 68, 1, 4355, 2854355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 69, 2035310.7411768832, -176076.78362264115, 0, 70, 1, 4355, 2854355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 71, 2035310.7411768832, -176076.78362264115, 0, 72, 1, 4355, 2854355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 2, 2320738.4688434978, 126348.38967116659, 1, 0, -4, 3448, 6903448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 4, 2383186.1525343237, 448251.25888828852, 3, 0, -4, 3448, 6903448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 6, 1981144.5525029898, -1903041.2384292425, 5, 0, -4, 3448, 6903448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 8, 2138409.5568088419, -119451.50568778868, 7, 0, -4, 3448, 6903448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 10, 2387491.1007072991, 34459.351848672632, 9, 0, -4, 3448, 6903448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 12, 2035310.7411768832, -176076.78362264115, 11, 0, -4, 3448, 6903448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 14, 2320738.4688434978, 126348.38967116659, 13, 0, -4, 3463, 6903463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 16, 2383186.1525343237, 448251.25888828852, 15, 0, -4, 3463, 6903463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 18, 1981144.5525029898, -1903041.2384292425, 17, 0, -4, 3463, 6903463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 20, 2138409.5568088419, -119451.50568778868, 19, 0, -4, 3463, 6903463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 22, 2387491.1007072991, 34459.351848672632, 21, 0, -4, 3463, 6903463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 24, 2035310.7411768832, -176076.78362264115, 23, 0, -4, 3463, 6903463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 26, 2320738.4688434978, 126348.38967116659, 25, 0, -2, 3576, 6903576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 28, 2383186.1525343237, 448251.25888828852, 27, 0, -2, 3576, 6903576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 30, 1981144.5525029898, -1903041.2384292425, 29, 0, -2, 3576, 6903576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 32, 2138409.5568088419, -119451.50568778868, 31, 0, -2, 3576, 6903576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 34, 2387491.1007072991, 34459.351848672632, 33, 0, -2, 3576, 6903576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 36, 2035310.7411768832, -176076.78362264115, 35, 0, -2, 3576, 6903576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 38, 2320738.4688434978, 126348.38967116659, 37, 0, -5, 3624, 6903624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 40, 2383186.1525343237, 448251.25888828852, 39, 0, -5, 3624, 6903624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 42, 1981144.5525029898, -1903041.2384292425, 41, 0, -5, 3624, 6903624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 44, 2138409.5568088419, -119451.50568778868, 43, 0, -5, 3624, 6903624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 46, 2387491.1007072991, 34459.351848672632, 45, 0, -5, 3624, 6903624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 48, 2035310.7411768832, -176076.78362264115, 47, 0, -5, 3624, 6903624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 50, 2320738.4688434978, 126348.38967116659, 49, 0, -1, 4265, 6904265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 52, 2383186.1525343237, 448251.25888828852, 51, 0, -1, 4265, 6904265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 54, 1981144.5525029898, -1903041.2384292425, 53, 0, -1, 4265, 6904265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 56, 2138409.5568088419, -119451.50568778868, 55, 0, -1, 4265, 6904265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 58, 2387491.1007072991, 34459.351848672632, 57, 0, -1, 4265, 6904265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 60, 2035310.7411768832, -176076.78362264115, 59, 0, -1, 4265, 6904265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 62, 2320738.4688434978, 126348.38967116659, 61, 0, -1, 4355, 6904355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 64, 2383186.1525343237, 448251.25888828852, 63, 0, -1, 4355, 6904355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 66, 1981144.5525029898, -1903041.2384292425, 65, 0, -1, 4355, 6904355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 68, 2138409.5568088419, -119451.50568778868, 67, 0, -1, 4355, 6904355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 70, 2387491.1007072991, 34459.351848672632, 69, 0, -1, 4355, 6904355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 72, 2035310.7411768832, -176076.78362264115, 71, 0, -1, 4355, 6904355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 0, 2138409.5568088419, -119451.50568778868, 0, 0, 0, 0, 7200000, 0); /* -- -- TOC entry 4292 (class 0 OID 6616043) -- Dependencies: 290 -- Data for Name: vrp1_cost; Type: TABLE DATA; Schema: public; Owner: postgres -- INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (12, 13, 2953.093354567417, 60557.741467469998, 49.218222576123615); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (1, 13, 2951.4358855784913, 46704.633074669997, 49.190598092974852); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (5, 13, 1933.2635307127596, 29674.281907879998, 32.22105884521266); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (6, 13, 4891.243355445933, 78590.388493249993, 81.520722590765544); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (7, 13, 4564.0248344551255, 55146.744125789999, 76.067080574252088); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (4, 13, 358.9916907880604, 4717.2985756400003, 5.983194846467673); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (8, 13, 5126.2324354788034, 62516.944979489999, 85.437207257980063); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (3, 13, 6000.6726547073304, 97970.007298349999, 100.01121091178884); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (9, 13, 4755.4348034907207, 100603.89591172, 79.257246724845345); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (10, 13, 4138.1137957014362, 53942.09578946, 68.968563261690605); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (2, 13, 2224.3765052979202, 44388.04507498, 37.072941754965335); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (11, 13, 1469.4570414749417, 17611.434113070001, 24.490950691249029); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (7, 12, 6552.1443518080496, 86875.647316550007, 109.20240586346749); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (6, 12, 3675.7683635329909, 63485.069269129999, 61.262806058883179); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (1, 12, 1826.0827112688785, 21731.213745190002, 30.434711854481307); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (11, 12, 2681.3122972236029, 46309.024619509997, 44.688538287060048); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (2, 12, 1020.3947307304589, 17188.5257222, 17.006578845507651); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (10, 12, 2827.6100244902282, 43710.459317699999, 47.126833741503802); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (3, 12, 3888.0148463653441, 51173.467957710003, 64.800247439422407); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (9, 12, 2302.9311138070507, 41043.449335719997, 38.382185230117514); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (8, 12, 4463.5497447224634, 58891.64477087, 74.39249574537439); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (4, 12, 2647.2156693505872, 59326.863049970001, 44.120261155843117); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (13, 12, 2983.3734066886564, 60557.741467469998, 49.722890111477604); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (5, 12, 1517.9735472205105, 31428.651624779999, 25.29955912034184); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (1, 11, 2745.3112518799626, 37544.1375137, 45.755187531332709); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (9, 11, 4471.1319444284782, 87264.291763329995, 74.518865740474638); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (10, 11, 4229.3311896072573, 52287.419420220001, 70.488853160120954); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (6, 11, 4506.8776151690954, 62551.773221880001, 75.11462691948492); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (3, 11, 5716.3697956450824, 89593.452941569994, 95.272829927418044); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (5, 11, 1358.6096137713382, 15091.14100876, 22.643493562855635); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (4, 11, 1654.544693329585, 19264.633366329999, 27.575744888826417); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (12, 11, 2668.7904955051708, 46309.024619509997, 44.479841591752844); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (2, 11, 1940.0736462356747, 29252.344344699999, 32.334560770594578); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (13, 11, 1469.4570414749414, 17611.434113070001, 24.490950691249022); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (7, 11, 4064.8414892363171, 50747.73846031, 67.74735815393862); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (8, 11, 3895.6963212041123, 47391.047207520001, 64.928272020068533); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (5, 10, 3368.9527734188123, 42809.778697560003, 56.149212890313535); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (7, 10, 8182.3826173823836, 103032.57156053001, 136.37304362303973); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (11, 10, 4258.7560110340182, 52287.419420220001, 70.979266850566972); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (2, 10, 2839.6114198410569, 43099.30820806, 47.326856997350951); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (1, 10, 1802.3572076471451, 23960.724915679999, 30.039286794119086); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (3, 10, 3599.4301883137537, 49681.572728439998, 59.990503138562559); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (9, 10, 4341.7812292867338, 66755.884535439996, 72.363020488112227); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (4, 10, 3856.5004779654537, 49838.427136099999, 64.275007966090897); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (8, 10, 6294.2596511785378, 90390.880059980002, 104.90432751964229); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (6, 10, 5506.4782699890657, 100431.42119920001, 91.77463783315109); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (12, 10, 2855.7053715208308, 43710.459317699999, 47.595089525347177); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (13, 10, 4192.6582153035215, 53942.09578946, 69.877636921725355); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (10, 9, 4325.4261283707883, 66755.884535439996, 72.090435472846465); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (5, 9, 3398.8938935332781, 72255.826813129999, 56.648231558887964); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (2, 9, 2901.3150770432248, 58231.554459619998, 48.35525128405375); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (4, 9, 4528.1360156633564, 98787.207065139999, 75.46893359438927); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (1, 9, 3788.1003008742573, 55624.35354348, 63.135005014570957); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (11, 9, 4562.232643536373, 87264.291763329995, 76.037210725606215); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (8, 9, 4821.657825336647, 92014.350547320006, 80.360963755610783); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (7, 9, 8117.448634400117, 125749.52752643, 135.29081057333528); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (13, 9, 4864.293753001426, 100603.89591172, 81.071562550023771); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (6, 9, 4033.8764441471735, 90244.940354680002, 67.231274069119564); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (12, 9, 2328.9720943505417, 41043.449335719997, 38.81620157250903); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (3, 9, 2403.8510779993576, 33888.802388440003, 40.064184633322625); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (3, 8, 6769.2775240040783, 109943.3259573, 112.82129206673464); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (1, 8, 5019.7492752187654, 67853.964925620006, 83.662487920312756); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (7, 8, 3295.7908090634696, 40898.252999240001, 54.929846817724496); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (2, 8, 3571.0503376979805, 48617.072219770002, 59.517505628299674); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (9, 8, 4729.9553726845033, 92014.350547320006, 78.832589544741722); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (13, 8, 5123.9825769607578, 62516.944979489999, 85.399709616012629); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (6, 8, 1419.3370493081236, 17108.384354760001, 23.655617488468728); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (12, 8, 4462.5946410243814, 58891.64477087, 74.37657735040635); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (5, 8, 3906.5702317981809, 48659.42172359, 65.109503863303019); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (4, 8, 5406.1709302501031, 65640.18822928, 90.102848837501725); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (10, 8, 6449.5678543462845, 90390.880059980002, 107.49279757243808); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (11, 8, 3903.2468943918611, 47391.047207520001, 65.054114906531012); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (12, 7, 6541.7293294122628, 86875.647316550007, 109.02882215687104); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (3, 7, 9589.308629552168, 136345.04018709, 159.82181049253614); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (10, 7, 8189.9389451185689, 103032.57156053001, 136.49898241864281); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (8, 7, 3295.7035800954918, 40898.252999240001, 54.92839300159153); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (11, 7, 4082.2196582153956, 50747.73846031, 68.036994303589921); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (5, 7, 5106.1634678476485, 62318.437049, 85.102724464127476); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (6, 7, 4426.6022183180712, 55437.00628994, 73.776703638634515); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (2, 7, 5813.0124801427592, 71255.008476129995, 96.88354133571265); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (9, 7, 8025.6589527799933, 125749.52752643, 133.76098254633322); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (13, 7, 4565.7908933697781, 55146.744125789999, 76.096514889496305); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (1, 7, 6646.402085744041, 86176.316629309993, 110.77336809573401); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (4, 7, 4924.7825841578369, 59797.006035819999, 82.079709735963945); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (7, 6, 4433.5593311775692, 55437.00628994, 73.89265551962616); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (13, 6, 4943.220062989687, 78590.388493249993, 82.387001049828115); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (12, 6, 3663.4860364258975, 63485.069269129999, 61.058100607098289); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (11, 6, 4496.7745274249164, 62551.773221880001, 74.946242123748604); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (10, 6, 5650.4592497478006, 100431.42119920001, 94.174320829130011); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (9, 6, 3930.8467680860199, 90244.940354680002, 65.514112801433669); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (8, 6, 1427.2238809627568, 17108.384354760001, 23.787064682712614); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (5, 6, 3477.8202035215431, 61063.323590389999, 57.963670058692387); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (4, 6, 4607.0623256516183, 81392.253960899994, 76.784372094193643); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (3, 6, 5970.1689194055944, 112779.81503285001, 99.502815323426574); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (2, 6, 2771.9417330994952, 57379.320287560004, 46.199028884991584); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (1, 6, 4220.6406706202815, 76835.995936859996, 70.344011177004688); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (1, 5, 1958.2616125989289, 23885.506073140001, 32.637693543315478); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (12, 5, 1532.4187981313769, 31428.651624779999, 25.540313302189613); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (8, 5, 3929.4957334296996, 48659.42172359, 65.491595557161659); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (13, 5, 1958.1139397295849, 29674.281907879998, 32.635232328826412); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (7, 5, 5107.3400430688225, 62318.437049, 85.122334051147035); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (10, 5, 3519.5932763961732, 42809.778697560003, 58.659887939936219); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (9, 5, 3334.7602470546817, 72255.826813129999, 55.57933745091136); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (4, 5, 1621.9562023915164, 29275.540332420002, 27.03260337319194); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (2, 5, 803.70194886187926, 14741.93432463, 13.39503248103132); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (3, 5, 4579.9980982712887, 75253.614561519993, 76.333301637854817); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (11, 5, 1337.554729509015, 15091.14100876, 22.292578825150251); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (6, 5, 3470.5687990098932, 61063.323590389999, 57.842813316831553); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (12, 4, 2616.215006867988, 59326.863049970001, 43.603583447799799); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (11, 4, 1655.8289719890095, 19264.633366329999, 27.597149533150159); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (2, 4, 1887.4981575984907, 43746.497693609999, 31.458302626641512); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (7, 4, 4923.0165252431843, 59797.006035819999, 82.050275420719743); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (8, 4, 5342.146388935982, 65640.18822928, 89.035773148933032); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (9, 4, 4418.556455791293, 98787.207065139999, 73.642607596521557); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (13, 4, 358.9916907880604, 4717.2985756400003, 5.983194846467673); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (10, 4, 3801.2354480020076, 49838.427136099999, 63.353924133366796); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (1, 4, 2614.5575378790622, 44139.442491629998, 43.575958964651036); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (3, 4, 5663.7943070079027, 94785.168599109995, 94.396571783465049); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (6, 4, 4554.3650077465054, 81392.253960899994, 75.906083462441757); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (5, 4, 1596.3851830133301, 29275.540332420002, 26.606419716888833); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (12, 3, 4354.0799478841718, 51173.467957710003, 72.567999131402857); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (13, 3, 6464.3892097938715, 97970.007298349999, 107.73982016323119); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (7, 3, 10033.160154913267, 136345.04018709, 167.21933591522111); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (10, 3, 4016.3136218536224, 49681.572728439998, 66.938560364227044); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (11, 3, 6162.3281003288175, 89593.452941569994, 102.70546833881363); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (9, 3, 2746.7160740841282, 33888.802388440003, 45.778601234735468); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (5, 3, 4998.9893503257272, 75253.614561519993, 83.316489172095459); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (8, 3, 7276.4598265076593, 109943.3259573, 121.27433044179432); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (1, 3, 4325.3148995953306, 52145.170245989997, 72.088581659922184); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (4, 3, 6128.2314724558018, 94785.168599109995, 102.1371912075967); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (6, 3, 6488.6784453181817, 112779.81503285001, 108.14464075530303); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (2, 3, 4501.4105338356794, 65153.684267479999, 75.023508897261323); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (1, 2, 1536.6099447776205, 19506.03254122, 25.610165746293674); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (7, 2, 5827.9602822664219, 71255.008476129995, 97.132671371107037); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (8, 2, 3571.4879476634851, 48617.072219770002, 59.524799127724755); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (5, 2, 793.78947767888133, 14741.93432463, 13.229824627981355); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (9, 2, 2787.0688014921589, 58231.554459619998, 46.451146691535982); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (4, 2, 1923.0315998089593, 43746.497693609999, 32.050526663482657); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (10, 2, 2971.9018308336504, 43099.30820806, 49.53169718056084); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (3, 2, 4032.3066527087663, 65153.684267479999, 67.205110878479431); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (11, 2, 1957.1282276819745, 29252.344344699999, 32.618803794699573); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (12, 2, 984.72735256885392, 17188.5257222, 16.412122542814231); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (13, 2, 2259.1893371470278, 44388.04507498, 37.653155619117129); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (6, 2, 2783.7065664740117, 57379.320287560004, 46.395109441233529); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (3, 1, 3909.9615503187342, 52145.170245989997, 65.166025838645567); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (11, 1, 2796.4128490759304, 37544.1375137, 46.606880817932172); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (13, 1, 3063.0403515469643, 46704.633074669997, 51.050672525782737); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (6, 1, 3770.599595643097, 76835.995936859996, 62.843326594051618); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (10, 1, 1806.0013795626483, 23960.724915679999, 30.100022992710805); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (4, 1, 2726.8826142088951, 44139.442491629998, 45.448043570148251); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (9, 1, 3680.3813452318182, 55624.35354348, 61.339689087196966); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (5, 1, 1633.0740990728355, 23885.506073140001, 27.217901651213925); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (7, 1, 6667.2449036603712, 86176.316629309993, 111.12074839433951); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (8, 1, 4558.3809768325664, 67853.964925620006, 75.97301628054278); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (12, 1, 1833.1811824131848, 21731.213745190002, 30.553019706886413); INSERT INTO vrp1_cost (src_id, dest_id, cost, distance, traveltime) VALUES (2, 1, 1103.7327454950807, 19506.03254122, 18.395545758251345); -- -- TOC entry 4293 (class 0 OID 6616046) -- Dependencies: 291 -- Data for Name: vrp1_gdist; Type: TABLE DATA; Schema: public; Owner: postgres -- INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (1, 2, 19506.03254122, 19506.03254122, 0.0065020108470733333); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (1, 3, 52145.170245989997, 52145.170245989997, 0.017381723415329998); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (1, 4, 44139.442491629998, 44139.442491629998, 0.01471314749721); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (1, 5, 23885.506073140001, 23885.506073140001, 0.0079618353577133334); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (1, 6, 76835.995936859996, 76835.995936859996, 0.025611998645620002); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (1, 7, 86176.316629309993, 86176.316629309993, 0.028725438876436662); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (1, 8, 67853.964925620006, 67853.964925620006, 0.022617988308540001); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (1, 9, 55624.35354348, 55624.35354348, 0.018541451181160001); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (1, 10, 23960.724915679999, 23960.724915679999, 0.0079869083052266678); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (1, 11, 37544.1375137, 37544.1375137, 0.012514712504566667); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (1, 12, 21731.213745190002, 21731.213745190002, 0.0072437379150633334); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (1, 13, 46704.633074669997, 46704.633074669997, 0.01556821102489); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (2, 1, 19506.03254122, 19506.03254122, 0.0065020108470733333); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (2, 3, 65153.684267479999, 65153.684267479999, 0.02171789475582667); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (2, 4, 43746.497693609999, 43746.497693609999, 0.01458216589787); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (2, 5, 14741.93432463, 14741.93432463, 0.0049139781082099994); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (2, 6, 57379.320287560004, 57379.320287560004, 0.019126440095853337); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (2, 7, 71255.008476129995, 71255.008476129995, 0.023751669492043333); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (2, 8, 48617.072219770002, 48617.072219770002, 0.016205690739923333); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (2, 9, 58231.554459619998, 58231.554459619998, 0.019410518153206668); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (2, 10, 43099.30820806, 43099.30820806, 0.014366436069353334); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (2, 11, 29252.344344699999, 29252.344344699999, 0.0097507814482333324); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (2, 12, 17188.5257222, 17188.5257222, 0.0057295085740666669); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (2, 13, 44388.04507498, 44388.04507498, 0.014796015024993333); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (3, 1, 52145.170245989997, 52145.170245989997, 0.017381723415329998); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (3, 2, 65153.684267479999, 65153.684267479999, 0.02171789475582667); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (3, 4, 94785.168599109995, 94785.168599109995, 0.031595056199703334); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (3, 5, 75253.614561519993, 75253.614561519993, 0.025084538187173332); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (3, 6, 112779.81503285001, 112779.81503285001, 0.037593271677616676); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (3, 7, 136345.04018709, 136345.04018709, 0.045448346729030004); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (3, 8, 109943.3259573, 109943.3259573, 0.036647775319099997); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (3, 9, 33888.802388440003, 33888.802388440003, 0.011296267462813335); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (3, 10, 49681.572728439998, 49681.572728439998, 0.016560524242813332); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (3, 11, 89593.452941569994, 89593.452941569994, 0.029864484313856667); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (3, 12, 51173.467957710003, 51173.467957710003, 0.017057822652570002); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (3, 13, 97970.007298349999, 97970.007298349999, 0.032656669099449996); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (4, 1, 44139.442491629998, 44139.442491629998, 0.01471314749721); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (4, 2, 43746.497693609999, 43746.497693609999, 0.01458216589787); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (4, 3, 94785.168599109995, 94785.168599109995, 0.031595056199703334); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (4, 5, 29275.540332420002, 29275.540332420002, 0.0097585134441400007); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (4, 6, 81392.253960899994, 81392.253960899994, 0.0271307513203); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (4, 7, 59797.006035819999, 59797.006035819999, 0.019932335345273333); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (4, 8, 65640.18822928, 65640.18822928, 0.021880062743093332); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (4, 9, 98787.207065139999, 98787.207065139999, 0.032929069021713331); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (4, 10, 49838.427136099999, 49838.427136099999, 0.016612809045366668); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (4, 11, 19264.633366329999, 19264.633366329999, 0.0064215444554433336); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (4, 12, 59326.863049970001, 59326.863049970001, 0.019775621016656666); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (4, 13, 4717.2985756400003, 4717.2985756400003, 0.0015724328585466666); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (5, 1, 23885.506073140001, 23885.506073140001, 0.0079618353577133334); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (5, 2, 14741.93432463, 14741.93432463, 0.0049139781082099994); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (5, 3, 75253.614561519993, 75253.614561519993, 0.025084538187173332); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (5, 4, 29275.540332420002, 29275.540332420002, 0.0097585134441400007); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (5, 6, 61063.323590389999, 61063.323590389999, 0.020354441196796667); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (5, 7, 62318.437049, 62318.437049, 0.020772812349666669); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (5, 8, 48659.42172359, 48659.42172359, 0.016219807241196666); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (5, 9, 72255.826813129999, 72255.826813129999, 0.024085275604376667); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (5, 10, 42809.778697560003, 42809.778697560003, 0.014269926232520002); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (5, 11, 15091.14100876, 15091.14100876, 0.0050303803362533334); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (5, 12, 31428.651624779999, 31428.651624779999, 0.010476217208259999); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (5, 13, 29674.281907879998, 29674.281907879998, 0.0098914273026266646); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (6, 1, 76835.995936859996, 76835.995936859996, 0.025611998645620002); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (6, 2, 57379.320287560004, 57379.320287560004, 0.019126440095853337); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (6, 3, 112779.81503285001, 112779.81503285001, 0.037593271677616676); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (6, 4, 81392.253960899994, 81392.253960899994, 0.0271307513203); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (6, 5, 61063.323590389999, 61063.323590389999, 0.020354441196796667); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (6, 7, 55437.00628994, 55437.00628994, 0.018479002096646668); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (6, 8, 17108.384354760001, 17108.384354760001, 0.0057027947849200003); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (6, 9, 90244.940354680002, 90244.940354680002, 0.030081646784893331); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (6, 10, 100431.42119920001, 100431.42119920001, 0.033477140399733339); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (6, 11, 62551.773221880001, 62551.773221880001, 0.020850591073959999); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (6, 12, 63485.069269129999, 63485.069269129999, 0.021161689756376667); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (6, 13, 78590.388493249993, 78590.388493249993, 0.026196796164416662); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (7, 1, 86176.316629309993, 86176.316629309993, 0.028725438876436662); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (7, 2, 71255.008476129995, 71255.008476129995, 0.023751669492043333); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (7, 3, 136345.04018709, 136345.04018709, 0.045448346729030004); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (7, 4, 59797.006035819999, 59797.006035819999, 0.019932335345273333); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (7, 5, 62318.437049, 62318.437049, 0.020772812349666669); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (7, 6, 55437.00628994, 55437.00628994, 0.018479002096646668); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (7, 8, 40898.252999240001, 40898.252999240001, 0.013632750999746666); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (7, 9, 125749.52752643, 125749.52752643, 0.041916509175476666); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (7, 10, 103032.57156053001, 103032.57156053001, 0.034344190520176669); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (7, 11, 50747.73846031, 50747.73846031, 0.016915912820103334); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (7, 12, 86875.647316550007, 86875.647316550007, 0.028958549105516665); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (7, 13, 55146.744125789999, 55146.744125789999, 0.018382248041930001); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (8, 1, 67853.964925620006, 67853.964925620006, 0.022617988308540001); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (8, 2, 48617.072219770002, 48617.072219770002, 0.016205690739923333); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (8, 3, 109943.3259573, 109943.3259573, 0.036647775319099997); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (8, 4, 65640.18822928, 65640.18822928, 0.021880062743093332); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (8, 5, 48659.42172359, 48659.42172359, 0.016219807241196666); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (8, 6, 17108.384354760001, 17108.384354760001, 0.0057027947849200003); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (8, 7, 40898.252999240001, 40898.252999240001, 0.013632750999746666); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (8, 9, 92014.350547320006, 92014.350547320006, 0.030671450182440003); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (8, 10, 90390.880059980002, 90390.880059980002, 0.030130293353326669); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (8, 11, 47391.047207520001, 47391.047207520001, 0.015797015735840001); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (8, 12, 58891.64477087, 58891.64477087, 0.019630548256956665); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (8, 13, 62516.944979489999, 62516.944979489999, 0.020838981659829999); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (9, 1, 55624.35354348, 55624.35354348, 0.018541451181160001); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (9, 2, 58231.554459619998, 58231.554459619998, 0.019410518153206668); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (9, 3, 33888.802388440003, 33888.802388440003, 0.011296267462813335); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (9, 4, 98787.207065139999, 98787.207065139999, 0.032929069021713331); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (9, 5, 72255.826813129999, 72255.826813129999, 0.024085275604376667); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (9, 6, 90244.940354680002, 90244.940354680002, 0.030081646784893331); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (9, 7, 125749.52752643, 125749.52752643, 0.041916509175476666); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (9, 8, 92014.350547320006, 92014.350547320006, 0.030671450182440003); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (9, 10, 66755.884535439996, 66755.884535439996, 0.022251961511813335); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (9, 11, 87264.291763329995, 87264.291763329995, 0.029088097254443331); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (9, 12, 41043.449335719997, 41043.449335719997, 0.013681149778573333); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (9, 13, 100603.89591172, 100603.89591172, 0.033534631970573339); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (10, 1, 23960.724915679999, 23960.724915679999, 0.0079869083052266678); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (10, 2, 43099.30820806, 43099.30820806, 0.014366436069353334); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (10, 3, 49681.572728439998, 49681.572728439998, 0.016560524242813332); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (10, 4, 49838.427136099999, 49838.427136099999, 0.016612809045366668); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (10, 5, 42809.778697560003, 42809.778697560003, 0.014269926232520002); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (10, 6, 100431.42119920001, 100431.42119920001, 0.033477140399733339); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (10, 7, 103032.57156053001, 103032.57156053001, 0.034344190520176669); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (10, 8, 90390.880059980002, 90390.880059980002, 0.030130293353326669); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (10, 9, 66755.884535439996, 66755.884535439996, 0.022251961511813335); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (10, 11, 52287.419420220001, 52287.419420220001, 0.017429139806740001); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (10, 12, 43710.459317699999, 43710.459317699999, 0.014570153105900001); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (10, 13, 53942.09578946, 53942.09578946, 0.017980698596486665); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (11, 1, 37544.1375137, 37544.1375137, 0.012514712504566667); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (11, 2, 29252.344344699999, 29252.344344699999, 0.0097507814482333324); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (11, 3, 89593.452941569994, 89593.452941569994, 0.029864484313856667); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (11, 4, 19264.633366329999, 19264.633366329999, 0.0064215444554433336); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (11, 5, 15091.14100876, 15091.14100876, 0.0050303803362533334); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (11, 6, 62551.773221880001, 62551.773221880001, 0.020850591073959999); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (11, 7, 50747.73846031, 50747.73846031, 0.016915912820103334); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (11, 8, 47391.047207520001, 47391.047207520001, 0.015797015735840001); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (11, 9, 87264.291763329995, 87264.291763329995, 0.029088097254443331); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (11, 10, 52287.419420220001, 52287.419420220001, 0.017429139806740001); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (11, 12, 46309.024619509997, 46309.024619509997, 0.015436341539836666); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (11, 13, 17611.434113070001, 17611.434113070001, 0.0058704780376900006); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (12, 1, 21731.213745190002, 21731.213745190002, 0.0072437379150633334); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (12, 2, 17188.5257222, 17188.5257222, 0.0057295085740666669); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (12, 3, 51173.467957710003, 51173.467957710003, 0.017057822652570002); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (12, 4, 59326.863049970001, 59326.863049970001, 0.019775621016656666); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (12, 5, 31428.651624779999, 31428.651624779999, 0.010476217208259999); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (12, 6, 63485.069269129999, 63485.069269129999, 0.021161689756376667); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (12, 7, 86875.647316550007, 86875.647316550007, 0.028958549105516665); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (12, 8, 58891.64477087, 58891.64477087, 0.019630548256956665); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (12, 9, 41043.449335719997, 41043.449335719997, 0.013681149778573333); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (12, 10, 43710.459317699999, 43710.459317699999, 0.014570153105900001); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (12, 11, 46309.024619509997, 46309.024619509997, 0.015436341539836666); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (12, 13, 60557.741467469998, 60557.741467469998, 0.020185913822489999); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (13, 1, 46704.633074669997, 46704.633074669997, 0.01556821102489); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (13, 2, 44388.04507498, 44388.04507498, 0.014796015024993333); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (13, 3, 97970.007298349999, 97970.007298349999, 0.032656669099449996); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (13, 4, 4717.2985756400003, 4717.2985756400003, 0.0015724328585466666); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (13, 5, 29674.281907879998, 29674.281907879998, 0.0098914273026266646); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (13, 6, 78590.388493249993, 78590.388493249993, 0.026196796164416662); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (13, 7, 55146.744125789999, 55146.744125789999, 0.018382248041930001); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (13, 8, 62516.944979489999, 62516.944979489999, 0.020838981659829999); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (13, 9, 100603.89591172, 100603.89591172, 0.033534631970573339); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (13, 10, 53942.09578946, 53942.09578946, 0.017980698596486665); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (13, 11, 17611.434113070001, 17611.434113070001, 0.0058704780376900006); INSERT INTO vrp1_gdist (src_id, dest_id, cost, distance, traveltime) VALUES (13, 12, 60557.741467469998, 60557.741467469998, 0.020185913822489999); -- -- TOC entry 4290 (class 0 OID 6607823) -- Dependencies: 285 -- Data for Name: vrp1_orders; Type: TABLE DATA; Schema: public; Owner: postgres -- INSERT INTO vrp1_orders (id, x, y, order_unit, open_time, close_time, service_time) VALUES (1, -72.892400, 41.668920, 25, 60, 780, 20); INSERT INTO vrp1_orders (id, x, y, order_unit, open_time, close_time, service_time) VALUES (2, -72.676150, 41.601650, 25, 60, 780, 20); INSERT INTO vrp1_orders (id, x, y, order_unit, open_time, close_time, service_time) VALUES (3, -73.413760, 41.410080, 25, 60, 780, 20); INSERT INTO vrp1_orders (id, x, y, order_unit, open_time, close_time, service_time) VALUES (4, -72.576340, 41.988370, 25, 60, 780, 20); INSERT INTO vrp1_orders (id, x, y, order_unit, open_time, close_time, service_time) VALUES (5, -72.615920, 41.726460, 25, 60, 780, 20); INSERT INTO vrp1_orders (id, x, y, order_unit, open_time, close_time, service_time) VALUES (6, -72.066830, 41.362980, 25, 60, 780, 20); INSERT INTO vrp1_orders (id, x, y, order_unit, open_time, close_time, service_time) VALUES (7, -71.882488, 41.842557, 25, 60, 780, 20); INSERT INTO vrp1_orders (id, x, y, order_unit, open_time, close_time, service_time) VALUES (8, -72.105080, 41.514310, 25, 60, 780, 20); INSERT INTO vrp1_orders (id, x, y, order_unit, open_time, close_time, service_time) VALUES (9, -73.121820, 41.198780, 25, 60, 780, 20); INSERT INTO vrp1_orders (id, x, y, order_unit, open_time, close_time, service_time) VALUES (10, -73.121310, 41.799840, 25, 60, 780, 20); INSERT INTO vrp1_orders (id, x, y, order_unit, open_time, close_time, service_time) VALUES (11, -72.493050, 41.826470, 250, 60, 780, 20); INSERT INTO vrp1_orders (id, x, y, order_unit, open_time, close_time, service_time) VALUES (12, -72.809200, 41.483500, 25, 60, 780, 20); INSERT INTO vrp1_orders (id, x, y, order_unit, open_time, close_time, service_time) VALUES (13, -72.51975, 41.98377, 0, 0, 800, 0); -- -- TOC entry 4291 (class 0 OID 6616034) -- Dependencies: 289 -- Data for Name: vrp1_points; Type: TABLE DATA; Schema: public; Owner: postgres -- INSERT INTO vrp1_points (id, pid, geom, edge_id, fraction, closest_node) VALUES (1, -1, '0101000020E6100000D3BCE3141D3952C0F6D1A92B9FD54440', 134983, 0.38479479629572311, 69021); INSERT INTO vrp1_points (id, pid, geom, edge_id, fraction, closest_node) VALUES (2, -2, '0101000020E6100000304CA60A462B52C0B7D100DE02CD4440', 156235, 0.60081527076326913, 174662); INSERT INTO vrp1_points (id, pid, geom, edge_id, fraction, closest_node) VALUES (3, -3, '0101000020E61000002619390B7B5A52C0315F5E807DB44440', 155907, 0.60929293991596534, 127670); INSERT INTO vrp1_points (id, pid, geom, edge_id, fraction, closest_node) VALUES (4, -4, '0101000020E61000001BD82AC1E22452C07C2C7DE882FE4440', 82159, 0.1088234404534253, 56829); INSERT INTO vrp1_points (id, pid, geom, edge_id, fraction, closest_node) VALUES (5, -5, '0101000020E6100000F33CB83B6B2752C014ED2AA4FCDC4440', 226752, 0.87665768706747127, 129246); INSERT INTO vrp1_points (id, pid, geom, edge_id, fraction, closest_node) VALUES (6, -6, '0101000020E6100000111956F1460452C0118DEE2076AE4440', 133685, 0.91338793111615413, 28564); INSERT INTO vrp1_points (id, pid, geom, edge_id, fraction, closest_node) VALUES (7, -7, '0101000020E610000032C7F2AE7AF851C0080264E8D8EB4440', 263400, 0.83072231921053108, 196779); INSERT INTO vrp1_points (id, pid, geom, edge_id, fraction, closest_node) VALUES (8, -8, '0101000020E6100000ADDD76A1B90652C0BD00FBE8D4C14440', 47970, 0.21514413450004088, 25658); INSERT INTO vrp1_points (id, pid, geom, edge_id, fraction, closest_node) VALUES (9, -9, '0101000020E6100000EBFF1CE6CB4752C0A88C7F9F71994440', 30632, 0.85391427066903536, 20036); INSERT INTO vrp1_points (id, pid, geom, edge_id, fraction, closest_node) VALUES (10, -10, '0101000020E610000060AB048BC34752C02E04392861E64440', 231149, 0.50999310422417587, 153595); INSERT INTO vrp1_points (id, pid, geom, edge_id, fraction, closest_node) VALUES (11, -11, '0101000020E6100000BD5296218E1F52C00490DAC4C9E94440', 152917, 0.70955464807036772, 159294); INSERT INTO vrp1_points (id, pid, geom, edge_id, fraction, closest_node) VALUES (12, -12, '0101000020E610000016FBCBEEC93352C0D9CEF753E3BD4440', 235710, 0.44298119784627749, 124069); INSERT INTO vrp1_points (id, pid, geom, edge_id, fraction, closest_node) VALUES (13, -13, '0101000020E610000025068195432152C09964E42CECFD4440', 220656, 0.77224957554563523, 120633); -- -- TOC entry 4295 (class 0 OID 8777648) -- Dependencies: 297 -- Data for Name: vrpdtw_beer; Type: TABLE DATA; Schema: public; Owner: postgres -- INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (0, 0, 2219223.0599095495, 43261.330613416343, 0, 780, 0, 0, 0, 0); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (0, 1, 2219223.0599095495, 43261.330613416343, 0, 780, 0, 50, 0, 2); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (0, 3, 2219223.0599095495, 43261.330613416343, 0, 780, 0, 50, 0, 4); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (0, 5, 2219223.0599095495, 43261.330613416343, 0, 780, 0, 50, 0, 6); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (0, 7, 2219223.0599095495, 43261.330613416343, 0, 780, 0, 50, 0, 8); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (0, 9, 2219223.0599095495, 43261.330613416343, 0, 780, 0, 50, 0, 10); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (0, 11, 2219223.0599095495, 43261.330613416343, 0, 780, 0, 50, 0, 12); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (0, 13, 2219223.0599095495, 43261.330613416343, 0, 780, 0, 50, 0, 14); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (0, 15, 2219223.0599095495, 43261.330613416343, 0, 780, 0, 50, 0, 16); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (0, 17, 2219223.0599095495, 43261.330613416343, 0, 780, 0, 50, 0, 18); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (0, 19, 2219223.0599095495, 43261.330613416343, 0, 780, 0, 50, 0, 20); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (0, 21, 2219223.0599095495, 43261.330613416343, 0, 780, 0, 200, 0, 22); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (0, 23, 2219223.0599095495, 43261.330613416343, 0, 780, 0, 50, 0, 24); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (1, 2, 2201674.04542425, -537.96920408041944, 0, 780, 0, -50, 1, 0); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (2, 4, 2220804.1661061305, -1824.0976658091467, 0, 780, 0, -50, 3, 0); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (3, 6, 2170182.7454079189, -42278.887298092624, 0, 780, 0, -50, 5, 0); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (4, 8, 2214706.3217116385, 42201.317464497493, 0, 780, 0, -50, 7, 0); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (5, 10, 2221020.0081376741, 13156.086760460585, 0, 780, 0, -50, 9, 0); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (6, 12, 2276566.54710769, -10390.65374555897, 0, 780, 0, -50, 11, 0); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (7, 14, 2273317.2298506126, 45902.567392510609, 0, 780, 0, -50, 13, 0); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (8, 16, 2268126.8554679737, 4674.1135220944607, 0, 780, 0, -50, 15, 0); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (9, 18, 2200293.6413550111, -57036.325719941706, 0, 780, 0, -50, 17, 0); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (10, 20, 2179348.5807632855, 7268.5531586333609, 0, 780, 0, -50, 19, 0); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (11, 22, 2226924.5635206043, 27207.476487862386, 0, 780, 0, -200, 21, 0); INSERT INTO vrpdtw_beer (rid, id, x, y, opentime, closetime, servicetime, demand, pindex, dindex) VALUES (12, 24, 2214670.8347013257, -18087.138344661518, 0, 780, 0, -50, 23, 0); */ /* SELECT * FROM pgr_gsoc_vrppdtw( $$ SELECT * FROM jet_customers $$, 2, 5); SELECT * FROM _pgr_pickDeliver( $$ SELECT * FROM jet_customers $$, 2, 5); SELECT * FROM _pgr_pickDeliver( $$ SELECT * FROM jet_customers $$, max_vehicles := 2, capacity :=5, speed := 1); */ /* -- converting data to use euclidean UPDATE jet_customers SET opentime = 9*60 WHERE opentime = 3448; UPDATE jet_customers SET opentime = 9.5*60 WHERE opentime = 3463; UPDATE jet_customers SET opentime = 10*60 WHERE opentime = 3576; UPDATE jet_customers SET opentime = 10.5*60 WHERE opentime = 3624; UPDATE jet_customers SET opentime = 11*60 WHERE opentime = 4265; UPDATE jet_customers SET opentime = 11.5*60 WHERE opentime = 4355; UPDATE jet_customers SET closetime = 11*60 WHERE closetime = 2853448; UPDATE jet_customers SET closetime = 11.5*60 WHERE closetime = 2853463; UPDATE jet_customers SET closetime = 12*60 WHERE closetime = 2853576; UPDATE jet_customers SET closetime = 12.5*60 WHERE closetime = 2853624; UPDATE jet_customers SET closetime = 13*60 WHERE closetime = 2854265; UPDATE jet_customers SET closetime = 13.5*60 WHERE closetime = 2854355; UPDATE jet_customers SET closetime = 14*60 WHERE closetime = 6903448; UPDATE jet_customers SET closetime = 14.5*60 WHERE closetime = 6903463; UPDATE jet_customers SET closetime = 15*60 WHERE closetime = 6903576; UPDATE jet_customers SET closetime = 15.5*60 WHERE closetime = 6903624; UPDATE jet_customers SET closetime = 16*60 WHERE closetime = 6904265; UPDATE jet_customers SET closetime = 16.5*60 WHERE closetime = 6904355; UPDATE jet_customers SET servicetime = 2 WHERE servicetime != 0; WITH customer_data AS (SELECT * FROM jet_customers), pickups AS ( SELECT id, demand, x as pick_x, y as pick_y, opentime as pick_open, closetime as pick_close, servicetime as pick_service FROM customer_data WHERE pindex = 0 AND id != 0 ), deliveries AS ( SELECT pindex AS id, x as deliver_x, y as deliver_y, opentime as deliver_open, closetime as deliver_close, servicetime as deliver_service FROM customer_data WHERE dindex = 0 AND id != 0 ) SELECT * INTO jet_orders FROM pickups JOIN deliveries USING(id) ORDER BY pickups.id; WITH customer_data AS (select * from jet_customers) SELECT id, x AS start_x, y AS start_y, opentime AS start_open, closetime AS start_close, 2 AS capacity, 5 AS number INTO jet_vehicles FROM customer_data WHERE id = 0 LIMIT 1; SELECT * FROM _pgr_pickDeliverEuclidean( $$ SELECT * from jet_orders $$, $$ SELECT * FROM jet_vehicles$$ ); */ pgrouting-3.3.0/docqueries/pickDeliver/design_pgtap.result000066400000000000000000000012201414350551100240350ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET UPDATE vehicles SET start_open = 5, start_close = 4 WHERE id = 1; UPDATE 1 SELECT * FROM _pgr_pickDeliverEuclidean( $$SELECT * FROM orders$$, $$SELECT * FROM vehicles$$); ERROR: Illegal values found on vehicle HINT: On vehicle 1 a condition is not met, verify that: vehicle.start_open_t <= vehicle.start_close_t 5 <= 4 vehicle.end_open_t <= vehicle.end_close_t 5 <= 4 vehicle.start_open_t <= vehicle.end_close_t 5 <= 4 UPDATE vehicles SET start_open = 0, start_close = 50 WHERE id = 1; ERROR: current transaction is aborted, commands ignored until end of transaction block ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/pickDeliver/design_pgtap.test.sql000066400000000000000000000003611414350551100243010ustar00rootroot00000000000000 UPDATE vehicles SET start_open = 5, start_close = 4 WHERE id = 1; SELECT * FROM _pgr_pickDeliverEuclidean( $$SELECT * FROM orders$$, $$SELECT * FROM vehicles$$); UPDATE vehicles SET start_open = 0, start_close = 50 WHERE id = 1; pgrouting-3.3.0/docqueries/pickDeliver/differentVechiles-cygwin.result000066400000000000000000000000041414350551100263170ustar00rootroot00000000000000t t pgrouting-3.3.0/docqueries/pickDeliver/differentVechiles-cygwin.test.sql000066400000000000000000000014161414350551100265660ustar00rootroot00000000000000 INSERT into vehicles(start_x, start_y, start_open, start_close, capacity, number) VALUES (40, 50, 0, 400, 200, 1); UPDATE vehicles SET number = 1; ALTER TABLE vehicles DROP COLUMN number; SELECT * INTO results FROM _pgr_pickDeliverEuclidean( 'SELECT * FROM orders ORDER BY id', 'SELECT * FROM vehicles', 30); WITH orders_id AS ( SELECT id FROM orders ), results_id AS ( SELECT DISTINCT order_id AS id FROM results WHERE stop_type NOT IN (1, 6, -1) ORDER BY order_id ) SELECT count(*)=53 FROM orders_id LEFT JOIN results_id USING(ID); WITH the_results AS ( SELECT * FROM results ) SELECT ((SELECT max(vehicle_number) FROM results) * 2 + 53 * 2 + 1) = (SELECT count(*) from the_results) AS correct_value; -- SELECT * FROM results; pgrouting-3.3.0/docqueries/pickDeliver/differentVechiles.result000066400000000000000000000536471414350551100250460ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET INSERT into vehicles(start_x, start_y, start_open, start_close, capacity, number) VALUES (40, 50, 0, 400, 200, 25); INSERT 0 1 SELECT * FROM _pgr_pickDeliverEuclidean( 'SELECT * FROM orders ORDER BY id', 'SELECT * FROM vehicles', 30); seq | vehicle_number | vehicle_id | vehicle_seq | order_id | stop_type | cargo | travel_time | arrival_time | wait_time | service_time | departure_time -----+----------------+------------+-------------+----------+-----------+-------+------------------+------------------+-----------+--------------+------------------ 1 | 1 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 2 | 1 | 1 | 2 | 5 | 2 | 10 | 15.1327459504216 | 15.1327459504216 | 0 | 90 | 105.132745950422 3 | 1 | 1 | 3 | 3 | 2 | 20 | 1 | 106.132745950422 | 0 | 90 | 196.132745950422 4 | 1 | 1 | 4 | 5 | 3 | 10 | 2 | 198.132745950422 | 0 | 90 | 288.132745950422 5 | 1 | 1 | 5 | 8 | 2 | 30 | 2.82842712474619 | 290.961173075168 | 0 | 90 | 380.961173075168 6 | 1 | 1 | 6 | 8 | 3 | 10 | 3.60555127546399 | 384.566724350632 | 0 | 90 | 474.566724350632 7 | 1 | 1 | 7 | 11 | 2 | 20 | 3 | 477.566724350632 | 0 | 90 | 567.566724350632 8 | 1 | 1 | 8 | 9 | 2 | 30 | 3.16227766016838 | 570.7290020108 | 0 | 90 | 660.7290020108 9 | 1 | 1 | 9 | 6 | 2 | 50 | 2.23606797749979 | 662.9650699883 | 0 | 90 | 752.9650699883 10 | 1 | 1 | 10 | 9 | 3 | 40 | 2.23606797749979 | 755.2011379658 | 0 | 90 | 845.2011379658 11 | 1 | 1 | 11 | 6 | 3 | 20 | 3.60555127546399 | 848.806689241264 | 0 | 90 | 938.806689241264 12 | 1 | 1 | 12 | 11 | 3 | 10 | 2 | 940.806689241264 | 0 | 90 | 1030.80668924126 13 | 1 | 1 | 13 | 3 | 3 | 0 | 3 | 1033.80668924126 | 0 | 90 | 1123.80668924126 14 | 1 | 1 | 14 | -1 | 6 | 0 | 15.8113883008419 | 1139.61807754211 | 0 | 0 | 1139.61807754211 15 | 2 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 16 | 2 | 1 | 2 | 13 | 2 | 30 | 30.8058436014987 | 30.8058436014987 | 0 | 90 | 120.805843601499 17 | 2 | 1 | 3 | 13 | 3 | 0 | 4 | 124.805843601499 | 0 | 90 | 214.805843601499 18 | 2 | 1 | 4 | 18 | 2 | 20 | 3 | 217.805843601499 | 0 | 90 | 307.805843601499 19 | 2 | 1 | 5 | 19 | 2 | 30 | 5 | 312.805843601499 | 0 | 90 | 402.805843601499 20 | 2 | 1 | 6 | 19 | 3 | 20 | 5 | 407.805843601499 | 0 | 90 | 497.805843601499 21 | 2 | 1 | 7 | 16 | 2 | 60 | 5 | 502.805843601499 | 0 | 90 | 592.805843601499 22 | 2 | 1 | 8 | 16 | 3 | 20 | 2 | 594.805843601499 | 0 | 90 | 684.805843601499 23 | 2 | 1 | 9 | 18 | 3 | 0 | 3 | 687.805843601499 | 0 | 90 | 777.805843601499 24 | 2 | 1 | 10 | 50 | 2 | 10 | 53.0094331227943 | 830.815276724293 | 0 | 90 | 920.815276724293 25 | 2 | 1 | 11 | 50 | 3 | 0 | 3.16227766016838 | 923.977554384461 | 0 | 90 | 1013.97755438446 26 | 2 | 1 | 12 | 49 | 2 | 10 | 3 | 1016.97755438446 | 0 | 90 | 1106.97755438446 27 | 2 | 1 | 13 | 49 | 3 | 0 | 2 | 1108.97755438446 | 0 | 90 | 1198.97755438446 28 | 2 | 1 | 14 | -1 | 6 | 0 | 18.0277563773199 | 1217.00531076178 | 0 | 0 | 1217.00531076178 29 | 3 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 30 | 3 | 1 | 2 | 20 | 2 | 10 | 10 | 10 | 0 | 90 | 100 31 | 3 | 1 | 3 | 20 | 3 | 0 | 5 | 105 | 0 | 90 | 195 32 | 3 | 1 | 4 | 25 | 2 | 40 | 2 | 197 | 0 | 90 | 287 33 | 3 | 1 | 5 | 25 | 3 | 0 | 2 | 289 | 0 | 90 | 379 34 | 3 | 1 | 6 | 29 | 2 | 10 | 3.60555127546399 | 382.605551275464 | 0 | 90 | 472.605551275464 35 | 3 | 1 | 7 | 30 | 2 | 20 | 5 | 477.605551275464 | 0 | 90 | 567.605551275464 36 | 3 | 1 | 8 | 28 | 2 | 40 | 3 | 570.605551275464 | 0 | 90 | 660.605551275464 37 | 3 | 1 | 9 | 29 | 3 | 30 | 2 | 662.605551275464 | 0 | 90 | 752.605551275464 38 | 3 | 1 | 10 | 23 | 2 | 40 | 3 | 755.605551275464 | 0 | 0 | 755.605551275464 39 | 3 | 1 | 11 | 23 | 3 | 30 | 0 | 755.605551275464 | 0 | 90 | 845.605551275464 40 | 3 | 1 | 12 | 28 | 3 | 10 | 3 | 848.605551275464 | 0 | 90 | 938.605551275464 41 | 3 | 1 | 13 | 30 | 3 | 0 | 2 | 940.605551275464 | 0 | 90 | 1030.60555127546 42 | 3 | 1 | 14 | -1 | 6 | 0 | 10.1980390271856 | 1040.80359030265 | 0 | 0 | 1040.80359030265 43 | 4 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 44 | 4 | 1 | 2 | 32 | 2 | 30 | 31.6227766016838 | 31.6227766016838 | 0 | 90 | 121.622776601684 45 | 4 | 1 | 3 | 33 | 2 | 70 | 2 | 123.622776601684 | 0 | 90 | 213.622776601684 46 | 4 | 1 | 4 | 32 | 3 | 40 | 5.3851648071345 | 219.007941408818 | 0 | 90 | 309.007941408818 47 | 4 | 1 | 5 | 35 | 2 | 50 | 5 | 314.007941408818 | 0 | 90 | 404.007941408818 48 | 4 | 1 | 6 | 33 | 3 | 10 | 5.8309518948453 | 409.838893303664 | 0 | 90 | 499.838893303664 49 | 4 | 1 | 7 | 38 | 2 | 40 | 2 | 501.838893303664 | 0 | 90 | 591.838893303664 50 | 4 | 1 | 8 | 35 | 3 | 30 | 5 | 596.838893303664 | 0 | 90 | 686.838893303664 51 | 4 | 1 | 9 | 36 | 2 | 40 | 5 | 691.838893303664 | 0 | 0 | 691.838893303664 52 | 4 | 1 | 10 | 36 | 3 | 30 | 0 | 691.838893303664 | 0 | 90 | 781.838893303664 53 | 4 | 1 | 11 | 38 | 3 | 0 | 3 | 784.838893303664 | 0 | 90 | 874.838893303664 54 | 4 | 1 | 12 | -1 | 6 | 0 | 32.3882694814033 | 907.227162785067 | 0 | 0 | 907.227162785067 55 | 5 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 56 | 5 | 1 | 2 | 43 | 2 | 10 | 16.5529453572468 | 16.5529453572468 | 0 | 90 | 106.552945357247 57 | 5 | 1 | 3 | 42 | 2 | 30 | 3 | 109.552945357247 | 0 | 90 | 199.552945357247 58 | 5 | 1 | 4 | 43 | 3 | 20 | 2 | 201.552945357247 | 0 | 90 | 291.552945357247 59 | 5 | 1 | 5 | 42 | 3 | 0 | 2 | 293.552945357247 | 0 | 90 | 383.552945357247 60 | 5 | 1 | 6 | 44 | 2 | 10 | 3 | 386.552945357247 | 0 | 90 | 476.552945357247 61 | 5 | 1 | 7 | 44 | 3 | 0 | 2.82842712474619 | 479.381372481993 | 0 | 90 | 569.381372481993 62 | 5 | 1 | 8 | 45 | 2 | 10 | 2 | 571.381372481993 | 0 | 90 | 661.381372481993 63 | 5 | 1 | 9 | 45 | 3 | 0 | 2 | 663.381372481993 | 0 | 90 | 753.381372481993 64 | 5 | 1 | 10 | 51 | 2 | 10 | 3 | 756.381372481993 | 0 | 0 | 756.381372481993 65 | 5 | 1 | 11 | 51 | 3 | 0 | 0 | 756.381372481993 | 0 | 90 | 846.381372481993 66 | 5 | 1 | 12 | 66 | 2 | 10 | 22.561028345357 | 868.94240082735 | 0 | 90 | 958.94240082735 67 | 5 | 1 | 13 | 66 | 3 | 0 | 2 | 960.94240082735 | 0 | 90 | 1050.94240082735 68 | 5 | 1 | 14 | -1 | 6 | 0 | 15.8113883008419 | 1066.75378912819 | 0 | 0 | 1066.75378912819 69 | 6 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 70 | 6 | 1 | 2 | 57 | 2 | 40 | 35 | 35 | 0 | 90 | 125 71 | 6 | 1 | 3 | 57 | 3 | 0 | 2 | 127 | 0 | 90 | 217 72 | 6 | 1 | 4 | 54 | 2 | 40 | 5 | 222 | 0 | 90 | 312 73 | 6 | 1 | 5 | 53 | 2 | 60 | 5.3851648071345 | 317.385164807135 | 0 | 90 | 407.385164807135 74 | 6 | 1 | 6 | 56 | 2 | 90 | 4 | 411.385164807135 | 0 | 90 | 501.385164807135 75 | 6 | 1 | 7 | 53 | 3 | 70 | 2 | 503.385164807135 | 0 | 90 | 593.385164807135 76 | 6 | 1 | 8 | 54 | 3 | 30 | 3 | 596.385164807135 | 0 | 90 | 686.385164807135 77 | 6 | 1 | 9 | 56 | 3 | 0 | 10.4403065089106 | 696.825471316045 | 0 | 90 | 786.825471316045 78 | 6 | 1 | 10 | -1 | 6 | 0 | 35.0570962859162 | 821.882567601961 | 0 | 0 | 821.882567601961 79 | 7 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 80 | 7 | 1 | 2 | 67 | 2 | 10 | 12.2065556157337 | 12.2065556157337 | 0 | 90 | 102.206555615734 81 | 7 | 1 | 3 | 65 | 2 | 20 | 1 | 103.206555615734 | 0 | 90 | 193.206555615734 82 | 7 | 1 | 4 | 63 | 2 | 70 | 2 | 195.206555615734 | 0 | 90 | 285.206555615734 83 | 7 | 1 | 5 | 62 | 2 | 90 | 5 | 290.206555615734 | 0 | 90 | 380.206555615734 84 | 7 | 1 | 6 | 63 | 3 | 40 | 3 | 383.206555615734 | 0 | 90 | 473.206555615734 85 | 7 | 1 | 7 | 65 | 3 | 30 | 5 | 478.206555615734 | 0 | 90 | 568.206555615734 86 | 7 | 1 | 8 | 67 | 3 | 20 | 3 | 571.206555615734 | 0 | 90 | 661.206555615734 87 | 7 | 1 | 9 | 64 | 2 | 30 | 2 | 663.206555615734 | 0 | 0 | 663.206555615734 88 | 7 | 1 | 10 | 64 | 3 | 20 | 0 | 663.206555615734 | 0 | 90 | 753.206555615734 89 | 7 | 1 | 11 | 62 | 3 | 0 | 3 | 756.206555615734 | 0 | 90 | 846.206555615734 90 | 7 | 1 | 12 | -1 | 6 | 0 | 20.6155281280883 | 866.822083743822 | 0 | 0 | 866.822083743822 91 | 8 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 92 | 8 | 1 | 2 | 81 | 2 | 30 | 47.4341649025257 | 47.4341649025257 | 0 | 90 | 137.434164902526 93 | 8 | 1 | 3 | 78 | 2 | 50 | 3 | 140.434164902526 | 0 | 0 | 140.434164902526 94 | 8 | 1 | 4 | 78 | 3 | 30 | 0 | 140.434164902526 | 0 | 90 | 230.434164902526 95 | 8 | 1 | 5 | 76 | 2 | 40 | 2 | 232.434164902526 | 0 | 90 | 322.434164902526 96 | 8 | 1 | 6 | 71 | 2 | 60 | 5 | 327.434164902526 | 0 | 90 | 417.434164902526 97 | 8 | 1 | 7 | 81 | 3 | 30 | 5 | 422.434164902526 | 0 | 90 | 512.434164902526 98 | 8 | 1 | 8 | 76 | 3 | 20 | 3 | 515.434164902526 | 0 | 90 | 605.434164902526 99 | 8 | 1 | 9 | 71 | 3 | 0 | 4 | 609.434164902526 | 0 | 90 | 699.434164902526 100 | 8 | 1 | 10 | 79 | 2 | 10 | 1 | 700.434164902526 | 0 | 90 | 790.434164902526 101 | 8 | 1 | 11 | 79 | 3 | 0 | 5.3851648071345 | 795.81932970966 | 0 | 90 | 885.81932970966 102 | 8 | 1 | 12 | -1 | 6 | 0 | 51.478150704935 | 937.297480414595 | 0 | 0 | 937.297480414595 103 | 9 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 104 | 9 | 1 | 2 | 90 | 2 | 10 | 20.6155281280883 | 20.6155281280883 | 0 | 90 | 110.615528128088 105 | 9 | 1 | 3 | 87 | 2 | 30 | 5 | 115.615528128088 | 0 | 90 | 205.615528128088 106 | 9 | 1 | 4 | 86 | 2 | 40 | 1 | 206.615528128088 | 0 | 90 | 296.615528128088 107 | 9 | 1 | 5 | 87 | 3 | 20 | 6 | 302.615528128088 | 0 | 90 | 392.615528128088 108 | 9 | 1 | 6 | 82 | 2 | 40 | 3 | 395.615528128088 | 0 | 90 | 485.615528128088 109 | 9 | 1 | 7 | 84 | 2 | 60 | 5.8309518948453 | 491.446480022934 | 0 | 90 | 581.446480022934 110 | 9 | 1 | 8 | 82 | 3 | 40 | 2.82842712474619 | 584.27490714768 | 0 | 90 | 674.27490714768 111 | 9 | 1 | 9 | 90 | 3 | 30 | 3 | 677.27490714768 | 0 | 90 | 767.27490714768 112 | 9 | 1 | 10 | 84 | 3 | 10 | 2.82842712474619 | 770.103334272426 | 0 | 90 | 860.103334272426 113 | 9 | 1 | 11 | 86 | 3 | 0 | 3.60555127546399 | 863.70888554789 | 0 | 90 | 953.70888554789 114 | 9 | 1 | 12 | -1 | 6 | 0 | 22.3606797749979 | 976.069565322888 | 0 | 0 | 976.069565322888 115 | 10 | 1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 116 | 10 | 1 | 2 | 98 | 2 | 20 | 30.8058436014987 | 30.8058436014987 | 0 | 90 | 120.805843601499 117 | 10 | 1 | 3 | 96 | 2 | 30 | 5.3851648071345 | 126.191008408633 | 0 | 90 | 216.191008408633 118 | 10 | 1 | 4 | 98 | 3 | 10 | 2 | 218.191008408633 | 0 | 90 | 308.191008408633 119 | 10 | 1 | 5 | 96 | 3 | 0 | 3.60555127546399 | 311.796559684097 | 0 | 90 | 401.796559684097 120 | 10 | 1 | 6 | 92 | 2 | 20 | 3.60555127546399 | 405.402110959561 | 0 | 90 | 495.402110959561 121 | 10 | 1 | 7 | 92 | 3 | 0 | 2 | 497.402110959561 | 0 | 90 | 587.402110959561 122 | 10 | 1 | 8 | 97 | 2 | 30 | 5 | 592.402110959561 | 0 | 0 | 592.402110959561 123 | 10 | 1 | 9 | 97 | 3 | 0 | 0 | 592.402110959561 | 0 | 90 | 682.402110959561 124 | 10 | 1 | 10 | 100 | 2 | 20 | 5 | 687.402110959561 | 0 | 90 | 777.402110959561 125 | 10 | 1 | 11 | 100 | 3 | 0 | 5 | 782.402110959561 | 0 | 90 | 872.402110959561 126 | 10 | 1 | 12 | -1 | 6 | 0 | 33.5410196624968 | 905.943130622058 | 0 | 0 | 905.943130622058 127 | -2 | 0 | 0 | -1 | -1 | -1 | 879.42275822512 | -1 | 0 | 9000 | 9879.42275822512 (127 rows) WITH orders_id AS ( SELECT id FROM orders ), results_id AS ( SELECT DISTINCT order_id AS id FROM _pgr_pickDeliverEuclidean( 'SELECT * FROM orders ORDER BY id', 'SELECT * FROM vehicles', 30) WHERE stop_type NOT IN (0, 5, -1) ORDER BY order_id ) SELECT * FROM orders_id LEFT JOIN results_id USING(ID); id ----- 3 5 6 8 9 11 13 16 18 19 20 23 25 28 29 30 32 33 35 36 38 42 43 44 45 49 50 51 53 54 56 57 62 63 64 65 66 67 71 76 78 79 81 82 84 86 87 90 92 96 97 98 100 (53 rows) WITH results AS ( SELECT * FROM _pgr_pickDeliverEuclidean( 'SELECT * FROM orders ORDER BY id', 'SELECT * FROM vehicles', 30) ) SELECT ((1 + (SELECT max(vehicle_id) FROM results) * 2 + 53 * 2) = (SELECT count(*) from results)) AS correct_value; correct_value --------------- f (1 row) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/pickDeliver/differentVechiles.test.sql000066400000000000000000000015401414350551100252660ustar00rootroot00000000000000 INSERT into vehicles(start_x, start_y, start_open, start_close, capacity, number) VALUES (40, 50, 0, 400, 200, 25); SELECT * FROM _pgr_pickDeliverEuclidean( 'SELECT * FROM orders ORDER BY id', 'SELECT * FROM vehicles', 30); WITH orders_id AS ( SELECT id FROM orders ), results_id AS ( SELECT DISTINCT order_id AS id FROM _pgr_pickDeliverEuclidean( 'SELECT * FROM orders ORDER BY id', 'SELECT * FROM vehicles', 30) WHERE stop_type NOT IN (0, 5, -1) ORDER BY order_id ) SELECT * FROM orders_id LEFT JOIN results_id USING(ID); WITH results AS ( SELECT * FROM _pgr_pickDeliverEuclidean( 'SELECT * FROM orders ORDER BY id', 'SELECT * FROM vehicles', 30) ) SELECT ((1 + (SELECT max(vehicle_id) FROM results) * 2 + 53 * 2) = (SELECT count(*) from results)) AS correct_value; pgrouting-3.3.0/docqueries/pickDeliver/doc-pickDeliver.result000066400000000000000000000120701414350551100244020ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SET extra_float_digits=-3; SET /* --q1 */ SELECT * FROM pgr_pickDeliver( 'SELECT * FROM orders ORDER BY id', 'SELECT * from vehicles', 'WITH A AS ( SELECT p_node_id AS id, p_x AS x, p_y AS y FROM orders UNION SELECT d_node_id AS id, d_x, d_y FROM orders UNION SELECT start_node_id, start_x, start_y FROM vehicles ) SELECT A.id AS start_vid, B.id AS end_vid, sqrt( (a.x - b.x) * (a.x - b.x) + (a.y - b.y) * (a.y - b.y)) AS agg_cost FROM A, A AS B WHERE A.id != B.id' ); seq | vehicle_seq | vehicle_id | stop_seq | stop_type | stop_id | order_id | cargo | travel_time | arrival_time | wait_time | service_time | departure_time -----+-------------+------------+----------+-----------+---------+----------+-------+---------------+---------------+-----------+--------------+---------------- 1 | 1 | 1 | 1 | 1 | 6 | -1 | 0 | 0 | 0 | 0 | 0 | 0 2 | 1 | 1 | 2 | 2 | 5 | 3 | 30 | 1 | 1 | 1 | 3 | 5 3 | 1 | 1 | 3 | 3 | 11 | 3 | 0 | 1.41421356237 | 6.41421356237 | 0 | 3 | 9.41421356237 4 | 1 | 1 | 4 | 2 | 9 | 2 | 20 | 1.41421356237 | 10.8284271247 | 0 | 2 | 12.8284271247 5 | 1 | 1 | 5 | 3 | 4 | 2 | 0 | 1 | 13.8284271247 | 0 | 3 | 16.8284271247 6 | 1 | 1 | 6 | 6 | 6 | -1 | 0 | 1.41421356237 | 18.2426406871 | 0 | 0 | 18.2426406871 7 | 2 | 1 | 1 | 1 | 6 | -1 | 0 | 0 | 0 | 0 | 0 | 0 8 | 2 | 1 | 2 | 2 | 3 | 1 | 10 | 1 | 1 | 1 | 3 | 5 9 | 2 | 1 | 3 | 3 | 8 | 1 | 0 | 2.2360679775 | 7.2360679775 | 0 | 3 | 10.2360679775 10 | 2 | 1 | 4 | 6 | 6 | -1 | 0 | 2 | 12.2360679775 | 0 | 0 | 12.2360679775 11 | -2 | 0 | 0 | -1 | -1 | -1 | -1 | 11.4787086646 | -1 | 2 | 17 | 30.4787086646 (11 rows) /* --q2 */ SELECT * FROM pgr_pickDeliver( $$ SELECT * FROM orders ORDER BY id $$, $$ SELECT * FROM vehicles ORDER BY id$$, $$ SELECT * from pgr_dijkstraCostMatrix( 'SELECT * FROM edge_table ', (SELECT array_agg(id) FROM (SELECT p_node_id AS id FROM orders UNION SELECT d_node_id FROM orders UNION SELECT start_node_id FROM vehicles) a)) $$ ); seq | vehicle_seq | vehicle_id | stop_seq | stop_type | stop_id | order_id | cargo | travel_time | arrival_time | wait_time | service_time | departure_time -----+-------------+------------+----------+-----------+---------+----------+-------+-------------+--------------+-----------+--------------+---------------- 1 | 1 | 1 | 1 | 1 | 6 | -1 | 0 | 0 | 0 | 0 | 0 | 0 2 | 1 | 1 | 2 | 2 | 5 | 3 | 30 | 1 | 1 | 1 | 3 | 5 3 | 1 | 1 | 3 | 3 | 11 | 3 | 0 | 2 | 7 | 0 | 3 | 10 4 | 1 | 1 | 4 | 2 | 9 | 2 | 20 | 2 | 12 | 0 | 2 | 14 5 | 1 | 1 | 5 | 3 | 4 | 2 | 0 | 1 | 15 | 0 | 3 | 18 6 | 1 | 1 | 6 | 6 | 6 | -1 | 0 | 2 | 20 | 0 | 0 | 20 7 | 2 | 1 | 1 | 1 | 6 | -1 | 0 | 0 | 0 | 0 | 0 | 0 8 | 2 | 1 | 2 | 2 | 3 | 1 | 10 | 3 | 3 | 0 | 3 | 6 9 | 2 | 1 | 3 | 3 | 8 | 1 | 0 | 3 | 9 | 0 | 3 | 12 10 | 2 | 1 | 4 | 6 | 6 | -1 | 0 | 2 | 14 | 0 | 0 | 14 11 | -2 | 0 | 0 | -1 | -1 | -1 | -1 | 16 | -1 | 1 | 17 | 34 (11 rows) /* --q3 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/pickDeliver/doc-pickDeliver.test.sql000066400000000000000000000017221414350551100246430ustar00rootroot00000000000000SET extra_float_digits=-3; /* --q1 */ SELECT * FROM pgr_pickDeliver( 'SELECT * FROM orders ORDER BY id', 'SELECT * from vehicles', -- matrix query 'WITH A AS ( SELECT p_node_id AS id, p_x AS x, p_y AS y FROM orders UNION SELECT d_node_id AS id, d_x, d_y FROM orders UNION SELECT start_node_id, start_x, start_y FROM vehicles ) SELECT A.id AS start_vid, B.id AS end_vid, sqrt( (a.x - b.x) * (a.x - b.x) + (a.y - b.y) * (a.y - b.y)) AS agg_cost FROM A, A AS B WHERE A.id != B.id' ); /* --q2 */ SELECT * FROM pgr_pickDeliver( $$ SELECT * FROM orders ORDER BY id $$, $$ SELECT * FROM vehicles ORDER BY id$$, $$ SELECT * from pgr_dijkstraCostMatrix( 'SELECT * FROM edge_table ', (SELECT array_agg(id) FROM (SELECT p_node_id AS id FROM orders UNION SELECT d_node_id FROM orders UNION SELECT start_node_id FROM vehicles) a)) $$ ); /* --q3 */ pgrouting-3.3.0/docqueries/pickDeliver/doc-pickDeliverEuclidean.result000066400000000000000000000042261414350551100262200ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SET extra_float_digits=-3; SET /* --q1 */ SELECT * FROM pgr_pickDeliverEuclidean( 'SELECT * FROM orders ORDER BY id', 'SELECT * from vehicles' ); seq | vehicle_seq | vehicle_id | stop_seq | stop_type | order_id | cargo | travel_time | arrival_time | wait_time | service_time | departure_time -----+-------------+------------+----------+-----------+----------+-------+---------------+---------------+-----------+--------------+---------------- 1 | 1 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 2 | 1 | 1 | 2 | 2 | 3 | 30 | 1 | 1 | 1 | 3 | 5 3 | 1 | 1 | 3 | 3 | 3 | 0 | 1.41421356237 | 6.41421356237 | 0 | 3 | 9.41421356237 4 | 1 | 1 | 4 | 2 | 2 | 20 | 1.41421356237 | 10.8284271247 | 0 | 2 | 12.8284271247 5 | 1 | 1 | 5 | 3 | 2 | 0 | 1 | 13.8284271247 | 0 | 3 | 16.8284271247 6 | 1 | 1 | 6 | 6 | -1 | 0 | 1.41421356237 | 18.2426406871 | 0 | 0 | 18.2426406871 7 | 2 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 8 | 2 | 1 | 2 | 2 | 1 | 10 | 1 | 1 | 1 | 3 | 5 9 | 2 | 1 | 3 | 3 | 1 | 0 | 2.2360679775 | 7.2360679775 | 0 | 3 | 10.2360679775 10 | 2 | 1 | 4 | 6 | -1 | 0 | 2 | 12.2360679775 | 0 | 0 | 12.2360679775 11 | -2 | 0 | 0 | -1 | -1 | -1 | 11.4787086646 | -1 | 2 | 17 | 30.4787086646 (11 rows) /* --q2 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/pickDeliver/doc-pickDeliverEuclidean.test.sql000066400000000000000000000002411414350551100264500ustar00rootroot00000000000000SET extra_float_digits=-3; /* --q1 */ SELECT * FROM pgr_pickDeliverEuclidean( 'SELECT * FROM orders ORDER BY id', 'SELECT * from vehicles' ); /* --q2 */ pgrouting-3.3.0/docqueries/pickDeliver/jet_customers.result000066400000000000000000000260351414350551100242720ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET CREATE TABLE jet_customers ( id integer, x integer, y integer, pindex integer, dindex integer, demand integer, opentime double precision, closetime double precision, servicetime double precision ); CREATE TABLE CREATE TABLE stops ( iata_faa character varying(20), x integer, y integer, longitude double precision, latitude double precision ); CREATE TABLE COPY jet_customers (id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) FROM stdin; COPY 29 COPY stops (iata_faa, x, y, longitude, latitude) FROM stdin; COPY 8 WITH pickups AS ( SELECT id, demand, x as p_x, y as p_y, opentime as p_open, closetime as p_close, servicetime as p_service FROM jet_customers WHERE pindex = 0 AND id != 0 ), deliveries AS ( SELECT pindex AS id, x as d_x, y as d_y, opentime as d_open, closetime as d_close, servicetime as d_service FROM jet_customers WHERE dindex = 0 AND id != 0 ) SELECT * INTO jet_orders FROM pickups JOIN deliveries USING(id) ORDER BY pickups.id; SELECT 14 SELECT * FROM _pgr_pickDeliver( 'SELECT id, x, y, demand, opentime, closetime, servicetime, pindex, dindex FROM jet_customers ORDER BY id', max_vehicles := 20, capacity:= 100, speed := 1000); seq | vehicle_id | vehicle_seq | stop_id | travel_time | arrival_time | wait_time | service_time | departure_time -----+------------+-------------+---------+-------------------+-------------------+-----------+--------------+------------------ 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 2 | 1 | 2 | 27 | 0.617668195716762 | 0.617668195716762 | 0 | 30 | 30.6176681957168 3 | 1 | 3 | 25 | 0 | 30.6176681957168 | 0 | 30 | 60.6176681957168 4 | 1 | 4 | 23 | 0 | 60.6176681957168 | 0 | 30 | 90.6176681957168 5 | 1 | 5 | 26 | 0.714478831037001 | 91.3321470267538 | 0 | 30 | 121.332147026754 6 | 1 | 6 | 19 | 0 | 121.332147026754 | 0 | 30 | 151.332147026754 7 | 1 | 7 | 7 | 0.587132864009502 | 151.919279890763 | 0 | 30 | 181.919279890763 8 | 1 | 8 | 5 | 0 | 181.919279890763 | 0 | 30 | 211.919279890763 9 | 1 | 9 | 3 | 0 | 211.919279890763 | 0 | 30 | 241.919279890763 10 | 1 | 10 | 1 | 0 | 241.919279890763 | 0 | 30 | 271.919279890763 11 | 1 | 11 | 24 | 1.33232503541741 | 273.251604926181 | 0 | 30 | 303.251604926181 12 | 1 | 12 | 20 | 0 | 303.251604926181 | 0 | 30 | 333.251604926181 13 | 1 | 13 | 12 | 0 | 333.251604926181 | 0 | 30 | 363.251604926181 14 | 1 | 14 | 4 | 0 | 363.251604926181 | 0 | 30 | 393.251604926181 15 | 1 | 15 | 21 | 1.7278440323131 | 394.979448958494 | 0 | 30 | 424.979448958494 16 | 1 | 16 | 17 | 0 | 424.979448958494 | 0 | 30 | 454.979448958494 17 | 1 | 17 | 6 | 0 | 454.979448958494 | 0 | 30 | 484.979448958494 18 | 1 | 18 | 15 | 0.415245710393256 | 485.394694668887 | 0 | 30 | 515.394694668887 19 | 1 | 19 | 13 | 0 | 515.394694668887 | 0 | 30 | 545.394694668887 20 | 1 | 20 | 11 | 0 | 545.394694668887 | 0 | 30 | 575.394694668887 21 | 1 | 21 | 9 | 0 | 575.394694668887 | 0 | 30 | 605.394694668887 22 | 1 | 22 | 18 | 0.328105166067223 | 605.722799834954 | 0 | 30 | 635.722799834954 23 | 1 | 23 | 10 | 0 | 635.722799834954 | 0 | 30 | 665.722799834954 24 | 1 | 24 | 2 | 0 | 665.722799834954 | 0 | 30 | 695.722799834954 25 | 1 | 25 | 28 | 0.414019323220547 | 696.136819158175 | 0 | 30 | 726.136819158175 26 | 1 | 26 | 22 | 0 | 726.136819158175 | 0 | 30 | 756.136819158175 27 | 1 | 27 | 16 | 0 | 756.136819158175 | 0 | 30 | 786.136819158175 28 | 1 | 28 | 8 | 0 | 786.136819158175 | 0 | 30 | 816.136819158175 29 | 1 | 29 | 14 | 0.409882910109704 | 816.546702068285 | 0 | 30 | 846.546702068285 30 | 1 | 30 | 0 | 0.117720006795786 | 846.66442207508 | 0 | 0 | 846.66442207508 31 | -2 | 0 | 0 | 6.66442207508029 | -1 | 0 | 840 | 846.66442207508 (31 rows) SELECT * FROM _pgr_pickDeliverEuclidean( 'SELECT * FROM jet_orders ORDER BY id', 'SELECT 0 AS id, 2138 AS start_x, -119 AS start_y, 0 AS start_open, 60000 AS start_close, 100 AS capacity, 20 AS number, 1000 as speed', 30); seq | vehicle_number | vehicle_id | vehicle_seq | order_id | stop_type | cargo | travel_time | arrival_time | wait_time | service_time | departure_time -----+----------------+------------+-------------+----------+-----------+-------+-------------------+-------------------+-----------+--------------+------------------ 1 | 1 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 2 | 1 | 0 | 2 | 27 | 2 | 6 | 0.617668195716762 | 0.617668195716762 | 0 | 30 | 30.6176681957168 3 | 1 | 0 | 3 | 25 | 2 | 26 | 0 | 30.6176681957168 | 0 | 30 | 60.6176681957168 4 | 1 | 0 | 4 | 23 | 2 | 40 | 0 | 60.6176681957168 | 0 | 30 | 90.6176681957168 5 | 1 | 0 | 5 | 25 | 3 | 20 | 0.714478831037001 | 91.3321470267538 | 0 | 30 | 121.332147026754 6 | 1 | 0 | 6 | 19 | 2 | 36 | 0 | 121.332147026754 | 0 | 30 | 151.332147026754 7 | 1 | 0 | 7 | 7 | 2 | 41 | 0.587132864009502 | 151.919279890763 | 0 | 30 | 181.919279890763 8 | 1 | 0 | 8 | 5 | 2 | 51 | 0 | 181.919279890763 | 0 | 30 | 211.919279890763 9 | 1 | 0 | 9 | 3 | 2 | 68 | 0 | 211.919279890763 | 0 | 30 | 241.919279890763 10 | 1 | 0 | 10 | 1 | 2 | 75 | 0 | 241.919279890763 | 0 | 30 | 271.919279890763 11 | 1 | 0 | 11 | 23 | 3 | 61 | 1.33232503541741 | 273.251604926181 | 0 | 30 | 303.251604926181 12 | 1 | 0 | 12 | 19 | 3 | 45 | 0 | 303.251604926181 | 0 | 30 | 333.251604926181 13 | 1 | 0 | 13 | 11 | 3 | 33 | 0 | 333.251604926181 | 0 | 30 | 363.251604926181 14 | 1 | 0 | 14 | 3 | 3 | 16 | 0 | 363.251604926181 | 0 | 30 | 393.251604926181 15 | 1 | 0 | 15 | 21 | 2 | 22 | 1.7278440323131 | 394.979448958494 | 0 | 30 | 424.979448958494 16 | 1 | 0 | 16 | 17 | 2 | 28 | 0 | 424.979448958494 | 0 | 30 | 454.979448958494 17 | 1 | 0 | 17 | 5 | 3 | 18 | 0 | 454.979448958494 | 0 | 30 | 484.979448958494 18 | 1 | 0 | 18 | 15 | 2 | 20 | 0.415245710393256 | 485.394694668887 | 0 | 30 | 515.394694668887 19 | 1 | 0 | 19 | 13 | 2 | 29 | 0 | 515.394694668887 | 0 | 30 | 545.394694668887 20 | 1 | 0 | 20 | 11 | 2 | 41 | 0 | 545.394694668887 | 0 | 30 | 575.394694668887 21 | 1 | 0 | 21 | 9 | 2 | 54 | 0 | 575.394694668887 | 0 | 30 | 605.394694668887 22 | 1 | 0 | 22 | 17 | 3 | 48 | 0.328105166067223 | 605.722799834954 | 0 | 30 | 635.722799834954 23 | 1 | 0 | 23 | 9 | 3 | 35 | 0 | 635.722799834954 | 0 | 30 | 665.722799834954 24 | 1 | 0 | 24 | 1 | 3 | 28 | 0 | 665.722799834954 | 0 | 30 | 695.722799834954 25 | 1 | 0 | 25 | 27 | 3 | 22 | 0.414019323220547 | 696.136819158175 | 0 | 30 | 726.136819158175 26 | 1 | 0 | 26 | 21 | 3 | 16 | 0 | 726.136819158175 | 0 | 30 | 756.136819158175 27 | 1 | 0 | 27 | 15 | 3 | 14 | 0 | 756.136819158175 | 0 | 30 | 786.136819158175 28 | 1 | 0 | 28 | 7 | 3 | 9 | 0 | 786.136819158175 | 0 | 30 | 816.136819158175 29 | 1 | 0 | 29 | 13 | 3 | 0 | 0.409882910109704 | 816.546702068285 | 0 | 30 | 846.546702068285 30 | 1 | 0 | 30 | -1 | 6 | 0 | 0.117720006795786 | 846.66442207508 | 0 | 0 | 846.66442207508 31 | -2 | 0 | 0 | -1 | -1 | -1 | 6.66442207508029 | -1 | 0 | 840 | 846.66442207508 (31 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/pickDeliver/jet_customers.test.sql000066400000000000000000000065501414350551100245310ustar00rootroot00000000000000 CREATE TABLE jet_customers ( id integer, x integer, y integer, pindex integer, dindex integer, demand integer, opentime double precision, closetime double precision, servicetime double precision ); CREATE TABLE stops ( iata_faa character varying(20), x integer, y integer, longitude double precision, latitude double precision ); -- -- TOC entry 4256 (class 0 OID 6648805) -- Dependencies: 300 -- Data for Name: jet_customers; Type: TABLE DATA; Schema: public; Owner: postgres -- INSERT INTO jet_customers (id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES (1, 1644, -614, 0, 2, 7, 0, 60000, 30), (3, 1644, -614, 0, 4, 17, 0, 60000, 30), (5, 1644, -614, 0, 6, 10, 0, 60000, 30), (7, 1644, -614, 0, 8, 5, 0, 60000, 30), (9, 2320, 126, 0, 10, 13, 0, 60000, 30), (11, 2320, 126, 0, 12, 12, 0, 60000, 30), (13, 2320, 126, 0, 14, 9, 0, 60000, 30), (15, 2320, 126, 0, 16, 2, 0, 60000, 30), (17, 2035, -176, 0, 18, 6, 0, 60000, 30), (19, 2035, -176, 0, 20, 16, 0, 60000, 30), (21, 2035, -176, 0, 22, 6, 0, 60000, 30), (23, 2383, 448, 0, 24, 14, 0, 60000, 30), (25, 2383, 448, 0, 26, 20, 0, 60000, 30), (27, 2383, 448, 0, 28, 6, 0, 60000, 30), (2, 2383, 448, 1, 0, -7, 0, 60000, 30), (4, 1981, -1903, 3, 0, -17, 0, 60000, 30), (6, 2035, -176, 5, 0, -10, 0, 60000, 30), (8, 2387, 34, 7, 0, -5, 0, 60000, 30), (10, 2383, 448, 9, 0, -13, 0, 60000, 30), (12, 1981, -1903, 11, 0, -12, 0, 60000, 30), (14, 2035, -176, 13, 0, -9, 0, 60000, 30), (16, 2387, 34, 15, 0, -2, 0, 60000, 30), (18, 2383, 448, 17, 0, -6, 0, 60000, 30), (20, 1981, -1903, 19, 0, -16, 0, 60000, 30), (22, 2387, 34, 21, 0, -6, 0, 60000, 30), (24, 1981, -1903, 23, 0, -14, 0, 60000, 30), (26, 2035, -176, 25, 0, -20, 0, 60000, 30), (28, 2387, 34, 27, 0, -6, 0, 60000, 30), (0, 2138, -119, 0, 0, 0, 0, 60000, 0); -- -- TOC entry 4255 (class 0 OID 6648802) -- Dependencies: 299 -- Data for Name: stops; Type: TABLE DATA; Schema: public; Owner: postgres -- INSERT INTO stops (iata_faa, x, y, longitude, latitude) VALUES (BOS, 2320, 126, -71.005180999999993, 42.364347000000002), (BGR, 2383, 448, -68.828138999999993, 44.807443999999997), (MIA, 1981, -1903, -80.290555999999995, 25.79325), (TEB, 2138, -119, -74.060837000000006, 40.850102999999997), (MVY, 2387, 34, -70.615278000000004, 41.391666999999998), (ABE, 2035, -176, -75.440805999999995, 40.652082999999998), (BKW, 1644, -614, -81.124200000000002, 37.787300000000002), (BGE, 1466, -1424, -84.636927799999995, 30.971598100000001); WITH pickups AS ( SELECT id, demand, x as p_x, y as p_y, opentime as p_open, closetime as p_close, servicetime as p_service FROM jet_customers WHERE pindex = 0 AND id != 0 ), deliveries AS ( SELECT pindex AS id, x as d_x, y as d_y, opentime as d_open, closetime as d_close, servicetime as d_service FROM jet_customers WHERE dindex = 0 AND id != 0 ) SELECT * INTO jet_orders FROM pickups JOIN deliveries USING(id) ORDER BY pickups.id; SELECT * FROM _pgr_pickDeliver( 'SELECT id, x, y, demand, opentime, closetime, servicetime, pindex, dindex FROM jet_customers ORDER BY id', max_vehicles := 20, capacity:= 100, speed := 1000); SELECT * FROM _pgr_pickDeliverEuclidean( 'SELECT * FROM jet_orders ORDER BY id', 'SELECT 0 AS id, 2138 AS start_x, -119 AS start_y, 0 AS start_open, 60000 AS start_close, 100 AS capacity, 20 AS number, 1000 as speed', 30); pgrouting-3.3.0/docqueries/pickDeliver/jet_customers1.result000066400000000000000000001004131414350551100243440ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET CREATE TABLE jet_customers ( airport character varying, id integer, x double precision, y double precision, pindex integer, dindex integer, demand integer, opentime double precision, closetime double precision, servicetime double precision ); CREATE TABLE INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 1, 2320738.4688434978, 126348.38967116659, 0, 2, 4, 3448, 2853448, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 3, 2320738.4688434978, 126348.38967116659, 0, 4, 4, 3448, 2853448, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 5, 2320738.4688434978, 126348.38967116659, 0, 6, 4, 3448, 2853448, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 7, 2320738.4688434978, 126348.38967116659, 0, 8, 4, 3448, 2853448, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 9, 2320738.4688434978, 126348.38967116659, 0, 10, 4, 3448, 2853448, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 11, 2320738.4688434978, 126348.38967116659, 0, 12, 4, 3448, 2853448, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 13, 2383186.1525343237, 448251.25888828852, 0, 14, 4, 3463, 2853463, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 15, 2383186.1525343237, 448251.25888828852, 0, 16, 4, 3463, 2853463, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 17, 2383186.1525343237, 448251.25888828852, 0, 18, 4, 3463, 2853463, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 19, 2383186.1525343237, 448251.25888828852, 0, 20, 4, 3463, 2853463, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 21, 2383186.1525343237, 448251.25888828852, 0, 22, 4, 3463, 2853463, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 23, 2383186.1525343237, 448251.25888828852, 0, 24, 4, 3463, 2853463, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 25, 1981144.5525029898, -1903041.2384292425, 0, 26, 2, 3576, 2853576, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 27, 1981144.5525029898, -1903041.2384292425, 0, 28, 2, 3576, 2853576, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 29, 1981144.5525029898, -1903041.2384292425, 0, 30, 2, 3576, 2853576, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 31, 1981144.5525029898, -1903041.2384292425, 0, 32, 2, 3576, 2853576, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 33, 1981144.5525029898, -1903041.2384292425, 0, 34, 2, 3576, 2853576, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 35, 1981144.5525029898, -1903041.2384292425, 0, 36, 2, 3576, 2853576, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 37, 2138409.5568088419, -119451.50568778868, 0, 38, 5, 3624, 2853624, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 39, 2138409.5568088419, -119451.50568778868, 0, 40, 5, 3624, 2853624, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 41, 2138409.5568088419, -119451.50568778868, 0, 42, 5, 3624, 2853624, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 43, 2138409.5568088419, -119451.50568778868, 0, 44, 5, 3624, 2853624, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 45, 2138409.5568088419, -119451.50568778868, 0, 46, 5, 3624, 2853624, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 47, 2138409.5568088419, -119451.50568778868, 0, 48, 5, 3624, 2853624, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 49, 2387491.1007072991, 34459.351848672632, 0, 50, 1, 4265, 2854265, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 51, 2387491.1007072991, 34459.351848672632, 0, 52, 1, 4265, 2854265, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 53, 2387491.1007072991, 34459.351848672632, 0, 54, 1, 4265, 2854265, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 55, 2387491.1007072991, 34459.351848672632, 0, 56, 1, 4265, 2854265, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 57, 2387491.1007072991, 34459.351848672632, 0, 58, 1, 4265, 2854265, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 59, 2387491.1007072991, 34459.351848672632, 0, 60, 1, 4265, 2854265, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 61, 2035310.7411768832, -176076.78362264115, 0, 62, 1, 4355, 2854355, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 63, 2035310.7411768832, -176076.78362264115, 0, 64, 1, 4355, 2854355, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 65, 2035310.7411768832, -176076.78362264115, 0, 66, 1, 4355, 2854355, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 67, 2035310.7411768832, -176076.78362264115, 0, 68, 1, 4355, 2854355, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 69, 2035310.7411768832, -176076.78362264115, 0, 70, 1, 4355, 2854355, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 71, 2035310.7411768832, -176076.78362264115, 0, 72, 1, 4355, 2854355, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 2, 2320738.4688434978, 126348.38967116659, 1, 0, -4, 3448, 6903448, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 4, 2383186.1525343237, 448251.25888828852, 3, 0, -4, 3448, 6903448, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 6, 1981144.5525029898, -1903041.2384292425, 5, 0, -4, 3448, 6903448, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 8, 2138409.5568088419, -119451.50568778868, 7, 0, -4, 3448, 6903448, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 10, 2387491.1007072991, 34459.351848672632, 9, 0, -4, 3448, 6903448, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 12, 2035310.7411768832, -176076.78362264115, 11, 0, -4, 3448, 6903448, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 14, 2320738.4688434978, 126348.38967116659, 13, 0, -4, 3463, 6903463, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 16, 2383186.1525343237, 448251.25888828852, 15, 0, -4, 3463, 6903463, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 18, 1981144.5525029898, -1903041.2384292425, 17, 0, -4, 3463, 6903463, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 20, 2138409.5568088419, -119451.50568778868, 19, 0, -4, 3463, 6903463, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 22, 2387491.1007072991, 34459.351848672632, 21, 0, -4, 3463, 6903463, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 24, 2035310.7411768832, -176076.78362264115, 23, 0, -4, 3463, 6903463, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 26, 2320738.4688434978, 126348.38967116659, 25, 0, -2, 3576, 6903576, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 28, 2383186.1525343237, 448251.25888828852, 27, 0, -2, 3576, 6903576, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 30, 1981144.5525029898, -1903041.2384292425, 29, 0, -2, 3576, 6903576, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 32, 2138409.5568088419, -119451.50568778868, 31, 0, -2, 3576, 6903576, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 34, 2387491.1007072991, 34459.351848672632, 33, 0, -2, 3576, 6903576, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 36, 2035310.7411768832, -176076.78362264115, 35, 0, -2, 3576, 6903576, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 38, 2320738.4688434978, 126348.38967116659, 37, 0, -5, 3624, 6903624, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 40, 2383186.1525343237, 448251.25888828852, 39, 0, -5, 3624, 6903624, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 42, 1981144.5525029898, -1903041.2384292425, 41, 0, -5, 3624, 6903624, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 44, 2138409.5568088419, -119451.50568778868, 43, 0, -5, 3624, 6903624, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 46, 2387491.1007072991, 34459.351848672632, 45, 0, -5, 3624, 6903624, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 48, 2035310.7411768832, -176076.78362264115, 47, 0, -5, 3624, 6903624, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 50, 2320738.4688434978, 126348.38967116659, 49, 0, -1, 4265, 6904265, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 52, 2383186.1525343237, 448251.25888828852, 51, 0, -1, 4265, 6904265, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 54, 1981144.5525029898, -1903041.2384292425, 53, 0, -1, 4265, 6904265, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 56, 2138409.5568088419, -119451.50568778868, 55, 0, -1, 4265, 6904265, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 58, 2387491.1007072991, 34459.351848672632, 57, 0, -1, 4265, 6904265, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 60, 2035310.7411768832, -176076.78362264115, 59, 0, -1, 4265, 6904265, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 62, 2320738.4688434978, 126348.38967116659, 61, 0, -1, 4355, 6904355, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 64, 2383186.1525343237, 448251.25888828852, 63, 0, -1, 4355, 6904355, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 66, 1981144.5525029898, -1903041.2384292425, 65, 0, -1, 4355, 6904355, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 68, 2138409.5568088419, -119451.50568778868, 67, 0, -1, 4355, 6904355, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 70, 2387491.1007072991, 34459.351848672632, 69, 0, -1, 4355, 6904355, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 72, 2035310.7411768832, -176076.78362264115, 71, 0, -1, 4355, 6904355, 450000); INSERT 0 1 INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 0, 2138409.5568088419, -119451.50568778868, 0, 0, 0, 0, 7200000, 0); INSERT 0 1 WITH customer_data AS (SELECT * FROM jet_customers), pickups AS ( SELECT id, demand, x as p_x, y as p_y, opentime as p_open, closetime as p_close, servicetime as p_service FROM customer_data WHERE pindex = 0 AND id != 0 ), deliveries AS ( SELECT pindex AS id, x as d_x, y as d_y, opentime as d_open, closetime as d_close, servicetime as d_service FROM customer_data WHERE dindex = 0 AND id != 0 ) SELECT * INTO jet_orders FROM pickups JOIN deliveries USING(id) ORDER BY pickups.id; SELECT 36 WITH customer_data AS (select * from jet_customers) SELECT id, x AS start_x, y AS start_y, opentime AS start_open, closetime AS start_close, 5 AS capacity, 10 AS number INTO jet_vehicles FROM customer_data WHERE id = 0 LIMIT 1; SELECT 1 SELECT * FROM _pgr_pickDeliverEuclidean( $$ SELECT * from jet_orders $$, $$ SELECT * FROM jet_vehicles $$ ) ROLLBACK; seq | vehicle_number | vehicle_id | vehicle_seq | order_id | stop_type | cargo | travel_time | arrival_time | wait_time | service_time | departure_time -----+----------------+------------+-------------+----------+-----------+-------+------------------+------------------+-----------+--------------+------------------ 1 | 1 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 2 | 1 | 0 | 2 | 43 | 2 | 5 | 0 | 0 | 3624 | 450000 | 453624 3 | 1 | 0 | 3 | 43 | 3 | 0 | 0 | 453624 | 0 | 450000 | 903624 4 | 1 | 0 | 4 | 47 | 2 | 5 | 0 | 903624 | 0 | 450000 | 1353624 5 | 1 | 0 | 5 | 67 | 3 | 4 | 0 | 1353624 | 0 | 450000 | 1803624 6 | 1 | 0 | 6 | 67 | 2 | 5 | 117625.62597458 | 1921249.62597458 | 0 | 450000 | 2371249.62597458 7 | 1 | 0 | 7 | 47 | 3 | 0 | 0 | 2371249.62597458 | 0 | 450000 | 2821249.62597458 8 | 1 | 0 | 8 | -1 | 6 | 0 | 117625.62597458 | 2938875.25194916 | 0 | 0 | 2938875.25194916 9 | 2 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 10 | 2 | 0 | 2 | 21 | 2 | 4 | 618224.886851279 | 618224.886851279 | 0 | 450000 | 1068224.88685128 11 | 2 | 0 | 3 | 51 | 3 | 3 | 0 | 1068224.88685128 | 0 | 450000 | 1518224.88685128 12 | 2 | 0 | 4 | 55 | 2 | 4 | 413814.30003113 | 1932039.18688241 | 0 | 450000 | 2382039.18688241 13 | 2 | 0 | 5 | 51 | 2 | 5 | 0 | 2382039.18688241 | 0 | 450000 | 2832039.18688241 14 | 2 | 0 | 6 | 21 | 3 | 1 | 0 | 2832039.18688241 | 0 | 450000 | 3282039.18688241 15 | 2 | 0 | 7 | 55 | 3 | 0 | 292797.144074952 | 3574836.33095736 | 0 | 450000 | 4024836.33095736 16 | 2 | 0 | 8 | -1 | 6 | 0 | 0 | 4024836.33095736 | 0 | 0 | 4024836.33095736 17 | 3 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 18 | 3 | 0 | 2 | 3 | 2 | 4 | 306041.534309013 | 306041.534309013 | 0 | 450000 | 756041.534309013 19 | 3 | 0 | 3 | 13 | 3 | 0 | 0 | 756041.534309013 | 0 | 450000 | 1206041.53430901 20 | 3 | 0 | 4 | 13 | 2 | 4 | 327904.209196169 | 1533945.74350518 | 0 | 450000 | 1983945.74350518 21 | 3 | 0 | 5 | 3 | 3 | 0 | 0 | 1983945.74350518 | 0 | 450000 | 2433945.74350518 22 | 3 | 0 | 6 | 7 | 2 | 4 | 327904.209196169 | 2761849.95270135 | 0 | 450000 | 3211849.95270135 23 | 3 | 0 | 7 | 7 | 3 | 0 | 306041.534309013 | 3517891.48701036 | 0 | 450000 | 3967891.48701036 24 | 3 | 0 | 8 | -1 | 6 | 0 | 0 | 3967891.48701036 | 0 | 0 | 3967891.48701036 25 | 4 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 26 | 4 | 0 | 2 | 39 | 2 | 5 | 0 | 0 | 3624 | 450000 | 453624 27 | 4 | 0 | 3 | 15 | 3 | 1 | 618224.886851279 | 1071848.88685128 | 0 | 450000 | 1521848.88685128 28 | 4 | 0 | 4 | 15 | 2 | 5 | 0 | 1521848.88685128 | 0 | 450000 | 1971848.88685128 29 | 4 | 0 | 5 | 39 | 3 | 0 | 0 | 1971848.88685128 | 0 | 450000 | 2421848.88685128 30 | 4 | 0 | 6 | -1 | 6 | 0 | 618224.886851279 | 3040073.77370256 | 0 | 0 | 3040073.77370256 31 | 5 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 32 | 5 | 0 | 2 | 37 | 2 | 5 | 0 | 0 | 3624 | 450000 | 453624 33 | 5 | 0 | 3 | 9 | 3 | 1 | 292797.144074952 | 746421.144074952 | 0 | 450000 | 1196421.14407495 34 | 5 | 0 | 4 | 9 | 2 | 5 | 113576.005972599 | 1309997.15004755 | 0 | 450000 | 1759997.15004755 35 | 5 | 0 | 5 | 1 | 3 | 1 | 0 | 1759997.15004755 | 0 | 450000 | 2209997.15004755 36 | 5 | 0 | 6 | 1 | 2 | 5 | 0 | 2209997.15004755 | 0 | 450000 | 2659997.15004755 37 | 5 | 0 | 7 | 37 | 3 | 0 | 0 | 2659997.15004755 | 0 | 450000 | 3109997.15004755 38 | 5 | 0 | 8 | -1 | 6 | 0 | 306041.534309013 | 3416038.68435656 | 0 | 0 | 3416038.68435656 39 | 6 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 40 | 6 | 0 | 2 | 45 | 2 | 5 | 0 | 0 | 3624 | 450000 | 453624 41 | 6 | 0 | 3 | 57 | 3 | 4 | 292797.144074952 | 746421.144074952 | 0 | 450000 | 1196421.14407495 42 | 6 | 0 | 4 | 57 | 2 | 5 | 0 | 1196421.14407495 | 0 | 450000 | 1646421.14407495 43 | 6 | 0 | 5 | 45 | 3 | 0 | 0 | 1646421.14407495 | 0 | 450000 | 2096421.14407495 44 | 6 | 0 | 6 | -1 | 6 | 0 | 292797.144074952 | 2389218.2881499 | 0 | 0 | 2389218.2881499 45 | 7 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 46 | 7 | 0 | 2 | 31 | 2 | 2 | 1790509.59682434 | 1790509.59682434 | 0 | 450000 | 2240509.59682434 47 | 7 | 0 | 3 | 27 | 2 | 4 | 0 | 2240509.59682434 | 0 | 450000 | 2690509.59682434 48 | 7 | 0 | 4 | 27 | 3 | 2 | 2385416.91452406 | 5075926.51134839 | 0 | 450000 | 5525926.51134839 49 | 7 | 0 | 5 | 31 | 3 | 0 | 618224.886851279 | 6144151.39819967 | 0 | 450000 | 6594151.39819967 50 | 7 | 0 | 6 | -1 | 6 | 0 | 0 | 6594151.39819967 | 0 | 0 | 6594151.39819967 51 | 8 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 52 | 8 | 0 | 2 | 65 | 2 | 1 | 117625.62597458 | 117625.62597458 | 0 | 450000 | 567625.62597458 53 | 8 | 0 | 3 | 29 | 2 | 3 | 1727813.70643971 | 2295439.33241429 | 0 | 450000 | 2745439.33241429 54 | 8 | 0 | 4 | 35 | 2 | 5 | 0 | 2745439.33241429 | 0 | 450000 | 3195439.33241429 55 | 8 | 0 | 5 | 29 | 3 | 3 | 0 | 3195439.33241429 | 0 | 450000 | 3645439.33241429 56 | 8 | 0 | 6 | 65 | 3 | 2 | 0 | 3645439.33241429 | 0 | 450000 | 4095439.33241429 57 | 8 | 0 | 7 | 35 | 3 | 0 | 1727813.70643971 | 5823253.03885399 | 0 | 450000 | 6273253.03885399 58 | 8 | 0 | 8 | -1 | 6 | 0 | 117625.62597458 | 6390878.66482857 | 0 | 0 | 6390878.66482857 59 | 9 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 60 | 9 | 0 | 2 | 61 | 2 | 1 | 117625.62597458 | 117625.62597458 | 0 | 450000 | 567625.62597458 61 | 9 | 0 | 3 | 33 | 2 | 3 | 1727813.70643971 | 2295439.33241429 | 0 | 450000 | 2745439.33241429 62 | 9 | 0 | 4 | 25 | 2 | 5 | 0 | 2745439.33241429 | 0 | 450000 | 3195439.33241429 63 | 9 | 0 | 5 | 33 | 3 | 3 | 1979653.01367811 | 5175092.3460924 | 0 | 450000 | 5625092.3460924 64 | 9 | 0 | 6 | 25 | 3 | 1 | 113576.005972599 | 5738668.352065 | 0 | 450000 | 6188668.352065 65 | 9 | 0 | 7 | 61 | 3 | 0 | 0 | 6188668.352065 | 0 | 450000 | 6638668.352065 66 | 9 | 0 | 8 | -1 | 6 | 0 | 306041.534309013 | 6944709.88637401 | 0 | 0 | 6944709.88637401 67 | 10 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 68 | 10 | 0 | 2 | 63 | 2 | 1 | 117625.62597458 | 117625.62597458 | 0 | 450000 | 567625.62597458 69 | 10 | 0 | 3 | 59 | 3 | 0 | 0 | 567625.62597458 | 0 | 450000 | 1017625.62597458 70 | 10 | 0 | 4 | 59 | 2 | 1 | 410312.649059432 | 1427938.27503401 | 0 | 450000 | 1877938.27503401 71 | 10 | 0 | 5 | 19 | 2 | 5 | 413814.30003113 | 2291752.57506514 | 0 | 450000 | 2741752.57506514 72 | 10 | 0 | 6 | 63 | 3 | 4 | 0 | 2741752.57506514 | 0 | 450000 | 3191752.57506514 73 | 10 | 0 | 7 | 19 | 3 | 0 | 618224.886851279 | 3809977.46191642 | 0 | 450000 | 4259977.46191642 74 | 10 | 0 | 8 | -1 | 6 | 0 | 0 | 4259977.46191642 | 0 | 0 | 4259977.46191642 75 | 11 | -1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 76 | 11 | -1 | 2 | 5 | 2 | 4 | 306041.534309013 | 306041.534309013 | 0 | 450000 | 756041.534309013 77 | 11 | -1 | 3 | 49 | 3 | 3 | 0 | 756041.534309013 | 0 | 450000 | 1206041.53430901 78 | 11 | -1 | 4 | 49 | 2 | 4 | 113576.005972599 | 1319617.54028161 | 0 | 450000 | 1769617.54028161 79 | 11 | -1 | 5 | 53 | 2 | 5 | 0 | 1769617.54028161 | 0 | 450000 | 2219617.54028161 80 | 11 | -1 | 6 | 5 | 3 | 1 | 1979653.01367811 | 4199270.55395972 | 0 | 450000 | 4649270.55395972 81 | 11 | -1 | 7 | 53 | 3 | 0 | 0 | 4649270.55395972 | 0 | 450000 | 5099270.55395972 82 | 11 | -1 | 8 | -1 | 6 | 0 | 1790509.59682434 | 6889780.15078406 | 0 | 0 | 6889780.15078406 83 | 12 | -1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 84 | 12 | -1 | 2 | 71 | 2 | 1 | 117625.62597458 | 117625.62597458 | 0 | 450000 | 567625.62597458 85 | 12 | -1 | 3 | 71 | 3 | 0 | 0 | 567625.62597458 | 0 | 450000 | 1017625.62597458 86 | 12 | -1 | 4 | 69 | 2 | 1 | 0 | 1017625.62597458 | 0 | 450000 | 1467625.62597458 87 | 12 | -1 | 5 | 69 | 3 | 0 | 410312.649059432 | 1877938.27503401 | 0 | 450000 | 2327938.27503401 88 | 12 | -1 | 6 | -1 | 6 | 0 | 292797.144074952 | 2620735.41910896 | 0 | 0 | 2620735.41910896 89 | 13 | -1 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 90 | 13 | -1 | 2 | 41 | 2 | 5 | 0 | 0 | 3624 | 450000 | 453624 91 | 13 | -1 | 3 | 11 | 2 | 9 | 306041.534309013 | 759665.534309013 | 0 | 450000 | 1209665.53430901 92 | 13 | -1 | 4 | 23 | 2 | 13 | 327904.209196169 | 1537569.74350518 | 0 | 450000 | 1987569.74350518 93 | 13 | -1 | 5 | 17 | 2 | 17 | 0 | 1987569.74350518 | 0 | 450000 | 2437569.74350518 94 | 13 | -1 | 6 | 23 | 3 | 13 | 714704.698804085 | 3152274.44230927 | 0 | 450000 | 3602274.44230927 95 | 13 | -1 | 7 | 11 | 3 | 9 | 0 | 3602274.44230927 | 0 | 450000 | 4052274.44230927 96 | 13 | -1 | 8 | 41 | 3 | 4 | 1727813.70643971 | 5780088.14874897 | 0 | 450000 | 6230088.14874897 97 | 13 | -1 | 9 | 17 | 3 | 0 | 0 | 6230088.14874897 | 0 | 450000 | 6680088.14874897 98 | 13 | -1 | 10 | -1 | 6 | 0 | 1790509.59682434 | 8470597.74557331 | 0 | 0 | 8470597.74557331 99 | -2 | 0 | 0 | -1 | -1 | -1 | 29529644.5429109 | -1 | 18120 | 32400000 | 61947764.5429109 (99 rows) pgrouting-3.3.0/docqueries/pickDeliver/jet_customers1.test.sql000066400000000000000000000365511414350551100246160ustar00rootroot00000000000000 -- drop table if exists jet_customers; -- drop table if exists jet_orders; -- drop table if exists jet_vehicles; CREATE TABLE jet_customers ( airport character varying, id integer, x double precision, y double precision, pindex integer, dindex integer, demand integer, opentime double precision, closetime double precision, servicetime double precision ); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 1, 2320738.4688434978, 126348.38967116659, 0, 2, 4, 3448, 2853448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 3, 2320738.4688434978, 126348.38967116659, 0, 4, 4, 3448, 2853448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 5, 2320738.4688434978, 126348.38967116659, 0, 6, 4, 3448, 2853448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 7, 2320738.4688434978, 126348.38967116659, 0, 8, 4, 3448, 2853448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 9, 2320738.4688434978, 126348.38967116659, 0, 10, 4, 3448, 2853448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 11, 2320738.4688434978, 126348.38967116659, 0, 12, 4, 3448, 2853448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 13, 2383186.1525343237, 448251.25888828852, 0, 14, 4, 3463, 2853463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 15, 2383186.1525343237, 448251.25888828852, 0, 16, 4, 3463, 2853463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 17, 2383186.1525343237, 448251.25888828852, 0, 18, 4, 3463, 2853463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 19, 2383186.1525343237, 448251.25888828852, 0, 20, 4, 3463, 2853463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 21, 2383186.1525343237, 448251.25888828852, 0, 22, 4, 3463, 2853463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 23, 2383186.1525343237, 448251.25888828852, 0, 24, 4, 3463, 2853463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 25, 1981144.5525029898, -1903041.2384292425, 0, 26, 2, 3576, 2853576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 27, 1981144.5525029898, -1903041.2384292425, 0, 28, 2, 3576, 2853576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 29, 1981144.5525029898, -1903041.2384292425, 0, 30, 2, 3576, 2853576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 31, 1981144.5525029898, -1903041.2384292425, 0, 32, 2, 3576, 2853576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 33, 1981144.5525029898, -1903041.2384292425, 0, 34, 2, 3576, 2853576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 35, 1981144.5525029898, -1903041.2384292425, 0, 36, 2, 3576, 2853576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 37, 2138409.5568088419, -119451.50568778868, 0, 38, 5, 3624, 2853624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 39, 2138409.5568088419, -119451.50568778868, 0, 40, 5, 3624, 2853624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 41, 2138409.5568088419, -119451.50568778868, 0, 42, 5, 3624, 2853624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 43, 2138409.5568088419, -119451.50568778868, 0, 44, 5, 3624, 2853624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 45, 2138409.5568088419, -119451.50568778868, 0, 46, 5, 3624, 2853624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 47, 2138409.5568088419, -119451.50568778868, 0, 48, 5, 3624, 2853624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 49, 2387491.1007072991, 34459.351848672632, 0, 50, 1, 4265, 2854265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 51, 2387491.1007072991, 34459.351848672632, 0, 52, 1, 4265, 2854265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 53, 2387491.1007072991, 34459.351848672632, 0, 54, 1, 4265, 2854265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 55, 2387491.1007072991, 34459.351848672632, 0, 56, 1, 4265, 2854265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 57, 2387491.1007072991, 34459.351848672632, 0, 58, 1, 4265, 2854265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 59, 2387491.1007072991, 34459.351848672632, 0, 60, 1, 4265, 2854265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 61, 2035310.7411768832, -176076.78362264115, 0, 62, 1, 4355, 2854355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 63, 2035310.7411768832, -176076.78362264115, 0, 64, 1, 4355, 2854355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 65, 2035310.7411768832, -176076.78362264115, 0, 66, 1, 4355, 2854355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 67, 2035310.7411768832, -176076.78362264115, 0, 68, 1, 4355, 2854355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 69, 2035310.7411768832, -176076.78362264115, 0, 70, 1, 4355, 2854355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 71, 2035310.7411768832, -176076.78362264115, 0, 72, 1, 4355, 2854355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 2, 2320738.4688434978, 126348.38967116659, 1, 0, -4, 3448, 6903448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 4, 2383186.1525343237, 448251.25888828852, 3, 0, -4, 3448, 6903448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 6, 1981144.5525029898, -1903041.2384292425, 5, 0, -4, 3448, 6903448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 8, 2138409.5568088419, -119451.50568778868, 7, 0, -4, 3448, 6903448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 10, 2387491.1007072991, 34459.351848672632, 9, 0, -4, 3448, 6903448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 12, 2035310.7411768832, -176076.78362264115, 11, 0, -4, 3448, 6903448, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 14, 2320738.4688434978, 126348.38967116659, 13, 0, -4, 3463, 6903463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 16, 2383186.1525343237, 448251.25888828852, 15, 0, -4, 3463, 6903463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 18, 1981144.5525029898, -1903041.2384292425, 17, 0, -4, 3463, 6903463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 20, 2138409.5568088419, -119451.50568778868, 19, 0, -4, 3463, 6903463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 22, 2387491.1007072991, 34459.351848672632, 21, 0, -4, 3463, 6903463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 24, 2035310.7411768832, -176076.78362264115, 23, 0, -4, 3463, 6903463, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 26, 2320738.4688434978, 126348.38967116659, 25, 0, -2, 3576, 6903576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 28, 2383186.1525343237, 448251.25888828852, 27, 0, -2, 3576, 6903576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 30, 1981144.5525029898, -1903041.2384292425, 29, 0, -2, 3576, 6903576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 32, 2138409.5568088419, -119451.50568778868, 31, 0, -2, 3576, 6903576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 34, 2387491.1007072991, 34459.351848672632, 33, 0, -2, 3576, 6903576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 36, 2035310.7411768832, -176076.78362264115, 35, 0, -2, 3576, 6903576, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 38, 2320738.4688434978, 126348.38967116659, 37, 0, -5, 3624, 6903624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 40, 2383186.1525343237, 448251.25888828852, 39, 0, -5, 3624, 6903624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 42, 1981144.5525029898, -1903041.2384292425, 41, 0, -5, 3624, 6903624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 44, 2138409.5568088419, -119451.50568778868, 43, 0, -5, 3624, 6903624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 46, 2387491.1007072991, 34459.351848672632, 45, 0, -5, 3624, 6903624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 48, 2035310.7411768832, -176076.78362264115, 47, 0, -5, 3624, 6903624, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 50, 2320738.4688434978, 126348.38967116659, 49, 0, -1, 4265, 6904265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 52, 2383186.1525343237, 448251.25888828852, 51, 0, -1, 4265, 6904265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 54, 1981144.5525029898, -1903041.2384292425, 53, 0, -1, 4265, 6904265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 56, 2138409.5568088419, -119451.50568778868, 55, 0, -1, 4265, 6904265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 58, 2387491.1007072991, 34459.351848672632, 57, 0, -1, 4265, 6904265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 60, 2035310.7411768832, -176076.78362264115, 59, 0, -1, 4265, 6904265, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BOS', 62, 2320738.4688434978, 126348.38967116659, 61, 0, -1, 4355, 6904355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('BGR', 64, 2383186.1525343237, 448251.25888828852, 63, 0, -1, 4355, 6904355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MIA', 66, 1981144.5525029898, -1903041.2384292425, 65, 0, -1, 4355, 6904355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 68, 2138409.5568088419, -119451.50568778868, 67, 0, -1, 4355, 6904355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('MVY', 70, 2387491.1007072991, 34459.351848672632, 69, 0, -1, 4355, 6904355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('ABE', 72, 2035310.7411768832, -176076.78362264115, 71, 0, -1, 4355, 6904355, 450000); INSERT INTO jet_customers (airport, id, x, y, pindex, dindex, demand, opentime, closetime, servicetime) VALUES ('TEB', 0, 2138409.5568088419, -119451.50568778868, 0, 0, 0, 0, 7200000, 0); -- converting data to use euclidean WITH customer_data AS (SELECT * FROM jet_customers), pickups AS ( SELECT id, demand, x as p_x, y as p_y, opentime as p_open, closetime as p_close, servicetime as p_service FROM customer_data WHERE pindex = 0 AND id != 0 ), deliveries AS ( SELECT pindex AS id, x as d_x, y as d_y, opentime as d_open, closetime as d_close, servicetime as d_service FROM customer_data WHERE dindex = 0 AND id != 0 ) SELECT * INTO jet_orders FROM pickups JOIN deliveries USING(id) ORDER BY pickups.id; WITH customer_data AS (select * from jet_customers) SELECT id, x AS start_x, y AS start_y, opentime AS start_open, closetime AS start_close, 5 AS capacity, 10 AS number INTO jet_vehicles FROM customer_data WHERE id = 0 LIMIT 1; SELECT * FROM _pgr_pickDeliverEuclidean( $$ SELECT * from jet_orders $$, $$ SELECT * FROM jet_vehicles $$ ) pgrouting-3.3.0/docqueries/pickDeliver/past_example.result000066400000000000000000000576401414350551100240740ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET DROP TABLE IF EXISTS orders CASCADE; DROP TABLE DROP TABLE IF EXISTS vehicles CASCADE; DROP TABLE DROP TABLE IF EXISTS dist_matrix CASCADE; psql:tools/testers/pickDeliver_pgtap_data.sql:4: NOTICE: table "dist_matrix" does not exist, skipping DROP TABLE CREATE TABLE vehicles ( id BIGSERIAL PRIMARY KEY, start_node_id BIGINT, start_x FLOAT, start_y FLOAT, start_open FLOAT, start_close FLOAT, "number" integer, capacity FLOAT ); CREATE TABLE INSERT INTO vehicles (start_x, start_y, start_open, start_close, "number", capacity) VALUES (40, 50, 0, 1236, 25, 200); INSERT 0 1 CREATE TABLE orders ( id BIGINT PRIMARY KEY, demand FLOAT, p_node_id BIGINT, p_x FLOAT, p_y FLOAT, p_open FLOAT, p_close FLOAT, p_service FLOAT, d_node_id BIGINT, d_x FLOAT, d_y FLOAT, d_open FLOAT, d_close FLOAT, d_service FLOAT ); CREATE TABLE INSERT INTO orders (id, demand, p_x, p_y , p_open, p_close, p_service, d_x, d_y , d_open, d_close, d_service) VALUES (3, 10, 42, 66, 65, 146, 90, 45, 65, 997, 1068, 90), (5, 10, 42, 65, 15, 67, 90, 40, 66, 170, 225, 90), (6, 20, 40, 69, 621, 702, 90, 45, 70, 825, 870, 90), (8, 20, 38, 68, 255, 324, 90, 35, 66, 357, 410, 90), (9, 10, 38, 70, 534, 605, 90, 42, 68, 727, 782, 90), (11, 10, 35, 69, 448, 505, 90, 45, 68, 912, 967, 90), (13, 30, 22, 75, 30, 92, 90, 18, 75, 99, 148, 90), (16, 40, 20, 85, 475, 528, 90, 22, 85, 567, 620, 90), (18, 20, 15, 75, 179, 254, 90, 25, 85, 652, 721, 90), (19, 10, 15, 80, 278, 345, 90, 20, 80, 384, 429, 90), (20, 10, 30, 50, 10, 73, 90, 25, 50, 65, 144, 90), (23, 10, 28, 55, 732, 777, 0, 28, 55, 732, 777, 90), (25, 40, 25, 52, 169, 224, 90, 23, 52, 261, 316, 90), (28, 20, 23, 55, 546, 593, 90, 28, 52, 812, 883, 90), (29, 10, 20, 50, 358, 405, 90, 25, 55, 622, 701, 90), (30, 10, 20, 55, 449, 504, 90, 30, 52, 914, 965, 90), (32, 30, 10, 40, 31, 100, 90, 10, 35, 200, 237, 90), (33, 40, 8, 40, 87, 158, 90, 2, 40, 383, 434, 90), (35, 10, 5, 35, 283, 344, 90, 0, 45, 567, 624, 90), (36, 10, 5, 45, 665, 716, 0, 5, 45, 665, 716, 90), (38, 30, 0, 40, 479, 522, 90, 8, 45, 751, 816, 90), (42, 20, 33, 32, 68, 149, 90, 35, 30, 264, 321, 90), (43, 10, 33, 35, 16, 80, 90, 35, 32, 166, 235, 90), (44, 10, 32, 30, 359, 412, 90, 30, 32, 448, 509, 90), (45, 10, 30, 30, 541, 600, 90, 28, 30, 632, 693, 90), (49, 10, 28, 35, 1001, 1066, 90, 30, 35,1054, 1127, 90), (50, 10, 26, 32, 815, 880, 90, 25, 35, 912, 969, 90), (51, 10, 25, 30, 725, 786, 0, 25, 30, 725, 786, 90), (53, 20, 44, 5, 286, 347, 90, 38, 5, 471, 534, 90), (54, 40, 42, 10, 186, 257, 90, 35, 5, 562, 629, 90), (56, 30, 40, 5, 385, 436, 90, 38, 15, 651, 740, 90), (57, 40, 40, 15, 35, 87, 90, 42, 15, 95, 158, 90), (62, 20, 50, 35, 262, 317, 90, 45, 30, 734, 777, 90), (63, 50, 50, 40, 171, 218, 90, 53, 35, 353, 412, 90), (64, 10, 48, 30, 632, 693, 0, 48, 30, 632, 693, 90), (65, 10, 48, 40, 76, 129, 90, 53, 30, 450, 505, 90), (66, 10, 47, 35, 826, 875, 90, 45, 35, 916, 969, 90), (67, 10, 47, 40, 12, 77, 90, 50, 30, 531, 610, 90), (71, 20, 95, 35, 293, 360, 90, 88, 30, 574, 643, 90), (76, 10, 90, 35, 203, 260, 90, 92, 30, 478, 551, 90), (78, 20, 88, 35, 109, 170, 0, 88, 35, 109, 170, 90), (79, 10, 87, 30, 668, 731, 90, 85, 25, 769, 820, 90), (81, 30, 85, 35, 47, 124, 90, 95, 30, 387, 456, 90), (82, 20, 75, 55, 369, 420, 90, 68, 60, 555, 612, 90), (84, 20, 70, 58, 458, 523, 90, 63, 58, 737, 802, 90), (86, 10, 66, 55, 173, 238, 90, 60, 60, 836, 889, 90), (87, 20, 65, 55, 85, 144, 90, 72, 55, 265, 338, 90), (90, 10, 60, 55, 20, 84, 90, 65, 60, 645, 708, 90), (92, 20, 67, 85, 368, 441, 90, 65, 85, 475, 518, 90), (96, 10, 60, 80, 95, 156, 90, 65, 82, 285, 336, 90), (97, 30, 60, 85, 561, 622, 0, 60, 85, 561, 622, 90), (98, 20, 58, 75, 30, 84, 90, 62, 80, 196, 239, 90), (100,20, 55, 85, 647, 726, 90, 55, 80, 743, 820, 90); INSERT 0 53 WITH points AS ( SELECT DISTINCT p_x AS x, p_y AS y FROM orders UNION SELECT DISTINCT d_x, d_y FROM orders), t_points AS (SELECT row_number() over() AS id, x, y FROM points), first AS (SELECT orders.id AS id , t_points.id AS p_node_id from orders JOIN t_points ON (x = p_x AND y = p_y)), second AS (SELECT orders.id AS id , t_points.id AS d_node_id from orders JOIN t_points ON (x = d_x AND y = d_y)), third AS (SELECT id, p_node_id, d_node_id from first JOIN second USING (id)) UPDATE orders SET p_node_id = third.p_node_id, d_node_id = third.d_node_id FROM third WHERE third.id = orders.id; UPDATE 53 WITH the_ids AS (SELECT p_node_id AS id FROM orders UNION SELECT d_node_id FROM orders), the_max AS (SELECT max(id) FROM the_ids) UPDATE vehicles SET start_node_id = max + 1 FROM the_max; UPDATE 1 SET extra_float_digits=-3; SET SELECT * FROM _pgr_pickDeliverEuclidean( 'SELECT * FROM orders ORDER BY id', 'SELECT * from vehicles' ); seq | vehicle_seq | vehicle_id | stop_seq | stop_type | order_id | cargo | travel_time | arrival_time | wait_time | service_time | departure_time -----+-------------+------------+----------+-----------+----------+-------+---------------+---------------+-----------+--------------+---------------- 1 | 1 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 2 | 1 | 1 | 2 | 2 | 43 | 10 | 16.5529453572 | 16.5529453572 | 0 | 90 | 106.552945357 3 | 1 | 1 | 3 | 2 | 42 | 30 | 3 | 109.552945357 | 0 | 90 | 199.552945357 4 | 1 | 1 | 4 | 3 | 43 | 20 | 2 | 201.552945357 | 0 | 90 | 291.552945357 5 | 1 | 1 | 5 | 3 | 42 | 0 | 2 | 293.552945357 | 0 | 90 | 383.552945357 6 | 1 | 1 | 6 | 2 | 44 | 10 | 3 | 386.552945357 | 0 | 90 | 476.552945357 7 | 1 | 1 | 7 | 3 | 44 | 0 | 2.82842712475 | 479.381372482 | 0 | 90 | 569.381372482 8 | 1 | 1 | 8 | 2 | 45 | 10 | 2 | 571.381372482 | 0 | 90 | 661.381372482 9 | 1 | 1 | 9 | 3 | 45 | 0 | 2 | 663.381372482 | 0 | 90 | 753.381372482 10 | 1 | 1 | 10 | 2 | 51 | 10 | 3 | 756.381372482 | 0 | 0 | 756.381372482 11 | 1 | 1 | 11 | 3 | 51 | 0 | 0 | 756.381372482 | 0 | 90 | 846.381372482 12 | 1 | 1 | 12 | 2 | 50 | 10 | 2.2360679775 | 848.617440459 | 0 | 90 | 938.617440459 13 | 1 | 1 | 13 | 3 | 50 | 0 | 3.16227766017 | 941.77971812 | 0 | 90 | 1031.77971812 14 | 1 | 1 | 14 | 2 | 49 | 10 | 3 | 1034.77971812 | 0 | 90 | 1124.77971812 15 | 1 | 1 | 15 | 3 | 49 | 0 | 2 | 1126.77971812 | 0 | 90 | 1216.77971812 16 | 1 | 1 | 16 | 6 | -1 | 0 | 18.0277563773 | 1234.8074745 | 0 | 0 | 1234.8074745 17 | 2 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 18 | 2 | 1 | 2 | 2 | 5 | 10 | 15.1327459504 | 15.1327459504 | 0 | 90 | 105.13274595 19 | 2 | 1 | 3 | 2 | 3 | 20 | 1 | 106.13274595 | 0 | 90 | 196.13274595 20 | 2 | 1 | 4 | 3 | 5 | 10 | 2 | 198.13274595 | 0 | 90 | 288.13274595 21 | 2 | 1 | 5 | 2 | 8 | 30 | 2.82842712475 | 290.961173075 | 0 | 90 | 380.961173075 22 | 2 | 1 | 6 | 3 | 8 | 10 | 3.60555127546 | 384.566724351 | 0 | 90 | 474.566724351 23 | 2 | 1 | 7 | 2 | 11 | 20 | 3 | 477.566724351 | 0 | 90 | 567.566724351 24 | 2 | 1 | 8 | 2 | 9 | 30 | 3.16227766017 | 570.729002011 | 0 | 90 | 660.729002011 25 | 2 | 1 | 9 | 2 | 6 | 50 | 2.2360679775 | 662.965069988 | 0 | 90 | 752.965069988 26 | 2 | 1 | 10 | 3 | 9 | 40 | 2.2360679775 | 755.201137966 | 0 | 90 | 845.201137966 27 | 2 | 1 | 11 | 3 | 6 | 20 | 3.60555127546 | 848.806689241 | 0 | 90 | 938.806689241 28 | 2 | 1 | 12 | 3 | 11 | 10 | 2 | 940.806689241 | 0 | 90 | 1030.80668924 29 | 2 | 1 | 13 | 3 | 3 | 0 | 3 | 1033.80668924 | 0 | 90 | 1123.80668924 30 | 2 | 1 | 14 | 6 | -1 | 0 | 15.8113883008 | 1139.61807754 | 0 | 0 | 1139.61807754 31 | 3 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 32 | 3 | 1 | 2 | 2 | 67 | 10 | 12.2065556157 | 12.2065556157 | 0 | 90 | 102.206555616 33 | 3 | 1 | 3 | 2 | 65 | 20 | 1 | 103.206555616 | 0 | 90 | 193.206555616 34 | 3 | 1 | 4 | 2 | 63 | 70 | 2 | 195.206555616 | 0 | 90 | 285.206555616 35 | 3 | 1 | 5 | 2 | 62 | 90 | 5 | 290.206555616 | 0 | 90 | 380.206555616 36 | 3 | 1 | 6 | 3 | 63 | 40 | 3 | 383.206555616 | 0 | 90 | 473.206555616 37 | 3 | 1 | 7 | 3 | 65 | 30 | 5 | 478.206555616 | 0 | 90 | 568.206555616 38 | 3 | 1 | 8 | 3 | 67 | 20 | 3 | 571.206555616 | 0 | 90 | 661.206555616 39 | 3 | 1 | 9 | 2 | 64 | 30 | 2 | 663.206555616 | 0 | 0 | 663.206555616 40 | 3 | 1 | 10 | 3 | 64 | 20 | 0 | 663.206555616 | 0 | 90 | 753.206555616 41 | 3 | 1 | 11 | 3 | 62 | 0 | 3 | 756.206555616 | 0 | 90 | 846.206555616 42 | 3 | 1 | 12 | 2 | 66 | 10 | 5.38516480713 | 851.591720423 | 0 | 90 | 941.591720423 43 | 3 | 1 | 13 | 3 | 66 | 0 | 2 | 943.591720423 | 0 | 90 | 1033.59172042 44 | 3 | 1 | 14 | 6 | -1 | 0 | 15.8113883008 | 1049.40310872 | 0 | 0 | 1049.40310872 45 | 4 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 46 | 4 | 1 | 2 | 2 | 20 | 10 | 10 | 10 | 0 | 90 | 100 47 | 4 | 1 | 3 | 3 | 20 | 0 | 5 | 105 | 0 | 90 | 195 48 | 4 | 1 | 4 | 2 | 25 | 40 | 2 | 197 | 0 | 90 | 287 49 | 4 | 1 | 5 | 3 | 25 | 0 | 2 | 289 | 0 | 90 | 379 50 | 4 | 1 | 6 | 2 | 29 | 10 | 3.60555127546 | 382.605551275 | 0 | 90 | 472.605551275 51 | 4 | 1 | 7 | 2 | 30 | 20 | 5 | 477.605551275 | 0 | 90 | 567.605551275 52 | 4 | 1 | 8 | 2 | 28 | 40 | 3 | 570.605551275 | 0 | 90 | 660.605551275 53 | 4 | 1 | 9 | 3 | 29 | 30 | 2 | 662.605551275 | 0 | 90 | 752.605551275 54 | 4 | 1 | 10 | 2 | 23 | 40 | 3 | 755.605551275 | 0 | 0 | 755.605551275 55 | 4 | 1 | 11 | 3 | 23 | 30 | 0 | 755.605551275 | 0 | 90 | 845.605551275 56 | 4 | 1 | 12 | 3 | 28 | 10 | 3 | 848.605551275 | 0 | 90 | 938.605551275 57 | 4 | 1 | 13 | 3 | 30 | 0 | 2 | 940.605551275 | 0 | 90 | 1030.60555128 58 | 4 | 1 | 14 | 6 | -1 | 0 | 10.1980390272 | 1040.8035903 | 0 | 0 | 1040.8035903 59 | 5 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 60 | 5 | 1 | 2 | 2 | 90 | 10 | 20.6155281281 | 20.6155281281 | 0 | 90 | 110.615528128 61 | 5 | 1 | 3 | 2 | 87 | 30 | 5 | 115.615528128 | 0 | 90 | 205.615528128 62 | 5 | 1 | 4 | 2 | 86 | 40 | 1 | 206.615528128 | 0 | 90 | 296.615528128 63 | 5 | 1 | 5 | 3 | 87 | 20 | 6 | 302.615528128 | 0 | 90 | 392.615528128 64 | 5 | 1 | 6 | 2 | 82 | 40 | 3 | 395.615528128 | 0 | 90 | 485.615528128 65 | 5 | 1 | 7 | 2 | 84 | 60 | 5.83095189485 | 491.446480023 | 0 | 90 | 581.446480023 66 | 5 | 1 | 8 | 3 | 82 | 40 | 2.82842712475 | 584.274907148 | 0 | 90 | 674.274907148 67 | 5 | 1 | 9 | 3 | 90 | 30 | 3 | 677.274907148 | 0 | 90 | 767.274907148 68 | 5 | 1 | 10 | 3 | 84 | 10 | 2.82842712475 | 770.103334272 | 0 | 90 | 860.103334272 69 | 5 | 1 | 11 | 3 | 86 | 0 | 3.60555127546 | 863.708885548 | 0 | 90 | 953.708885548 70 | 5 | 1 | 12 | 6 | -1 | 0 | 22.360679775 | 976.069565323 | 0 | 0 | 976.069565323 71 | 6 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 72 | 6 | 1 | 2 | 2 | 81 | 30 | 47.4341649025 | 47.4341649025 | 0 | 90 | 137.434164903 73 | 6 | 1 | 3 | 2 | 78 | 50 | 3 | 140.434164903 | 0 | 0 | 140.434164903 74 | 6 | 1 | 4 | 3 | 78 | 30 | 0 | 140.434164903 | 0 | 90 | 230.434164903 75 | 6 | 1 | 5 | 2 | 76 | 40 | 2 | 232.434164903 | 0 | 90 | 322.434164903 76 | 6 | 1 | 6 | 2 | 71 | 60 | 5 | 327.434164903 | 0 | 90 | 417.434164903 77 | 6 | 1 | 7 | 3 | 81 | 30 | 5 | 422.434164903 | 0 | 90 | 512.434164903 78 | 6 | 1 | 8 | 3 | 76 | 20 | 3 | 515.434164903 | 0 | 90 | 605.434164903 79 | 6 | 1 | 9 | 3 | 71 | 0 | 4 | 609.434164903 | 0 | 90 | 699.434164903 80 | 6 | 1 | 10 | 2 | 79 | 10 | 1 | 700.434164903 | 0 | 90 | 790.434164903 81 | 6 | 1 | 11 | 3 | 79 | 0 | 5.38516480713 | 795.81932971 | 0 | 90 | 885.81932971 82 | 6 | 1 | 12 | 6 | -1 | 0 | 51.4781507049 | 937.297480415 | 0 | 0 | 937.297480415 83 | 7 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 84 | 7 | 1 | 2 | 2 | 32 | 30 | 31.6227766017 | 31.6227766017 | 0 | 90 | 121.622776602 85 | 7 | 1 | 3 | 2 | 33 | 70 | 2 | 123.622776602 | 0 | 90 | 213.622776602 86 | 7 | 1 | 4 | 3 | 32 | 40 | 5.38516480713 | 219.007941409 | 0 | 90 | 309.007941409 87 | 7 | 1 | 5 | 2 | 35 | 50 | 5 | 314.007941409 | 0 | 90 | 404.007941409 88 | 7 | 1 | 6 | 3 | 33 | 10 | 5.83095189485 | 409.838893304 | 0 | 90 | 499.838893304 89 | 7 | 1 | 7 | 2 | 38 | 40 | 2 | 501.838893304 | 0 | 90 | 591.838893304 90 | 7 | 1 | 8 | 3 | 35 | 30 | 5 | 596.838893304 | 0 | 90 | 686.838893304 91 | 7 | 1 | 9 | 2 | 36 | 40 | 5 | 691.838893304 | 0 | 0 | 691.838893304 92 | 7 | 1 | 10 | 3 | 36 | 30 | 0 | 691.838893304 | 0 | 90 | 781.838893304 93 | 7 | 1 | 11 | 3 | 38 | 0 | 3 | 784.838893304 | 0 | 90 | 874.838893304 94 | 7 | 1 | 12 | 6 | -1 | 0 | 32.3882694814 | 907.227162785 | 0 | 0 | 907.227162785 95 | 8 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 96 | 8 | 1 | 2 | 2 | 98 | 20 | 30.8058436015 | 30.8058436015 | 0 | 90 | 120.805843601 97 | 8 | 1 | 3 | 2 | 96 | 30 | 5.38516480713 | 126.191008409 | 0 | 90 | 216.191008409 98 | 8 | 1 | 4 | 3 | 98 | 10 | 2 | 218.191008409 | 0 | 90 | 308.191008409 99 | 8 | 1 | 5 | 3 | 96 | 0 | 3.60555127546 | 311.796559684 | 0 | 90 | 401.796559684 100 | 8 | 1 | 6 | 2 | 92 | 20 | 3.60555127546 | 405.40211096 | 0 | 90 | 495.40211096 101 | 8 | 1 | 7 | 3 | 92 | 0 | 2 | 497.40211096 | 0 | 90 | 587.40211096 102 | 8 | 1 | 8 | 2 | 97 | 30 | 5 | 592.40211096 | 0 | 0 | 592.40211096 103 | 8 | 1 | 9 | 3 | 97 | 0 | 0 | 592.40211096 | 0 | 90 | 682.40211096 104 | 8 | 1 | 10 | 2 | 100 | 20 | 5 | 687.40211096 | 0 | 90 | 777.40211096 105 | 8 | 1 | 11 | 3 | 100 | 0 | 5 | 782.40211096 | 0 | 90 | 872.40211096 106 | 8 | 1 | 12 | 6 | -1 | 0 | 33.5410196625 | 905.943130622 | 0 | 0 | 905.943130622 107 | 9 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 108 | 9 | 1 | 2 | 2 | 57 | 40 | 35 | 35 | 0 | 90 | 125 109 | 9 | 1 | 3 | 3 | 57 | 0 | 2 | 127 | 0 | 90 | 217 110 | 9 | 1 | 4 | 2 | 54 | 40 | 5 | 222 | 0 | 90 | 312 111 | 9 | 1 | 5 | 2 | 53 | 60 | 5.38516480713 | 317.385164807 | 0 | 90 | 407.385164807 112 | 9 | 1 | 6 | 2 | 56 | 90 | 4 | 411.385164807 | 0 | 90 | 501.385164807 113 | 9 | 1 | 7 | 3 | 53 | 70 | 2 | 503.385164807 | 0 | 90 | 593.385164807 114 | 9 | 1 | 8 | 3 | 54 | 30 | 3 | 596.385164807 | 0 | 90 | 686.385164807 115 | 9 | 1 | 9 | 3 | 56 | 0 | 10.4403065089 | 696.825471316 | 0 | 90 | 786.825471316 116 | 9 | 1 | 10 | 6 | -1 | 0 | 35.0570962859 | 821.882567602 | 0 | 0 | 821.882567602 117 | 10 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 118 | 10 | 1 | 2 | 2 | 13 | 30 | 30.8058436015 | 30.8058436015 | 0 | 90 | 120.805843601 119 | 10 | 1 | 3 | 3 | 13 | 0 | 4 | 124.805843601 | 0 | 90 | 214.805843601 120 | 10 | 1 | 4 | 2 | 18 | 20 | 3 | 217.805843601 | 0 | 90 | 307.805843601 121 | 10 | 1 | 5 | 2 | 19 | 30 | 5 | 312.805843601 | 0 | 90 | 402.805843601 122 | 10 | 1 | 6 | 3 | 19 | 20 | 5 | 407.805843601 | 0 | 90 | 497.805843601 123 | 10 | 1 | 7 | 2 | 16 | 60 | 5 | 502.805843601 | 0 | 90 | 592.805843601 124 | 10 | 1 | 8 | 3 | 16 | 20 | 2 | 594.805843601 | 0 | 90 | 684.805843601 125 | 10 | 1 | 9 | 3 | 18 | 0 | 3 | 687.805843601 | 0 | 90 | 777.805843601 126 | 10 | 1 | 10 | 6 | -1 | 0 | 38.0788655293 | 815.884709131 | 0 | 0 | 815.884709131 127 | -2 | 0 | 0 | -1 | -1 | -1 | 828.936866943 | -1 | 0 | 9000 | 9828.93686694 (127 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/pickDeliver/past_example.test.sql000066400000000000000000000003141414350551100243150ustar00rootroot00000000000000 -- Using this data tools/testers/pickDeliver_pgtap_data.sql SET extra_float_digits=-3; SELECT * FROM _pgr_pickDeliverEuclidean( 'SELECT * FROM orders ORDER BY id', 'SELECT * from vehicles' ); pgrouting-3.3.0/docqueries/pickDeliver/pickDeliver.result000066400000000000000000000334431414350551100236460ustar00rootroot00000000000000/* --q1 */ 1|1|1|-1|0|0|0|0|0 2|1|2|5|15.1327459504216|15.1327459504216|0|90|105.132745950422 3|1|3|3|1|106.132745950422|0|90|196.132745950422 4|1|4|7|2|198.132745950422|0|90|288.132745950422 5|1|5|8|2.82842712474619|290.961173075168|0|90|380.961173075168 6|1|6|10|3.60555127546399|384.566724350632|0|90|474.566724350632 7|1|7|11|3|477.566724350632|0|90|567.566724350632 8|1|8|9|3.16227766016838|570.7290020108|0|90|660.7290020108 9|1|9|6|2.23606797749979|662.9650699883|0|90|752.9650699883 10|1|10|4|2.23606797749979|755.2011379658|0|90|845.2011379658 11|1|11|2|3.60555127546399|848.806689241264|0|90|938.806689241264 12|1|12|1|2|940.806689241264|0|90|1030.80668924126 13|1|13|75|3|1033.80668924126|0|90|1123.80668924126 14|1|14|-1|15.8113883008419|1139.61807754211|0|0|1139.61807754211 15|2|1|-1|0|0|0|0|0 16|2|2|13|30.8058436014987|30.8058436014987|0|90|120.805843601499 17|2|3|17|4|124.805843601499|0|90|214.805843601499 18|2|4|18|3|217.805843601499|0|90|307.805843601499 19|2|5|19|5|312.805843601499|0|90|402.805843601499 20|2|6|15|5|407.805843601499|0|90|497.805843601499 21|2|7|16|5|502.805843601499|0|90|592.805843601499 22|2|8|14|2|594.805843601499|0|90|684.805843601499 23|2|9|12|3|687.805843601499|0|90|777.805843601499 24|2|10|50|53.0094331227943|830.815276724293|0|90|920.815276724293 25|2|11|52|3.16227766016838|923.977554384461|0|90|1013.97755438446 26|2|12|49|3|1016.97755438446|0|90|1106.97755438446 27|2|13|47|2|1108.97755438446|0|90|1198.97755438446 28|2|14|-1|18.0277563773199|1217.00531076178|0|0|1217.00531076178 29|3|1|-1|0|0|0|0|0 30|3|2|20|10|10|0|90|100 31|3|3|24|5|105|0|90|195 32|3|4|25|2|197|0|90|287 33|3|5|27|2|289|0|90|379 34|3|6|29|3.60555127546399|382.605551275464|0|90|472.605551275464 35|3|7|30|5|477.605551275464|0|90|567.605551275464 36|3|8|28|3|570.605551275464|0|90|660.605551275464 37|3|9|26|2|662.605551275464|0|90|752.605551275464 38|3|10|23|3|755.605551275464|0|0|755.605551275464 39|3|11|103|0|755.605551275464|0|90|845.605551275464 40|3|12|22|3|848.605551275464|0|90|938.605551275464 41|3|13|21|2|940.605551275464|0|90|1030.60555127546 42|3|14|-1|10.1980390271856|1040.80359030265|0|0|1040.80359030265 43|4|1|-1|0|0|0|0|0 44|4|2|32|31.6227766016838|31.6227766016838|0|90|121.622776601684 45|4|3|33|2|123.622776601684|0|90|213.622776601684 46|4|4|31|5.3851648071345|219.007941408818|0|90|309.007941408818 47|4|5|35|5|314.007941408818|0|90|404.007941408818 48|4|6|37|5.8309518948453|409.838893303664|0|90|499.838893303664 49|4|7|38|2|501.838893303664|0|90|591.838893303664 50|4|8|39|5|596.838893303664|0|90|686.838893303664 51|4|9|36|5|691.838893303664|0|0|691.838893303664 52|4|10|105|0|691.838893303664|0|90|781.838893303664 53|4|11|34|3|784.838893303664|0|90|874.838893303664 54|4|12|-1|32.3882694814033|907.227162785067|0|0|907.227162785067 55|5|1|-1|0|0|0|0|0 56|5|2|43|16.5529453572468|16.5529453572468|0|90|106.552945357247 57|5|3|42|3|109.552945357247|0|90|199.552945357247 58|5|4|41|2|201.552945357247|0|90|291.552945357247 59|5|5|40|2|293.552945357247|0|90|383.552945357247 60|5|6|44|3|386.552945357247|0|90|476.552945357247 61|5|7|46|2.82842712474619|479.381372481993|0|90|569.381372481993 62|5|8|45|2|571.381372481993|0|90|661.381372481993 63|5|9|48|2|663.381372481993|0|90|753.381372481993 64|5|10|51|3|756.381372481993|0|0|756.381372481993 65|5|11|101|0|756.381372481993|0|90|846.381372481993 66|5|12|66|22.561028345357|868.94240082735|0|90|958.94240082735 67|5|13|69|2|960.94240082735|0|90|1050.94240082735 68|5|14|-1|15.8113883008419|1066.75378912819|0|0|1066.75378912819 69|6|1|-1|0|0|0|0|0 70|6|2|57|35|35|0|90|125 71|6|3|55|2|127|0|90|217 72|6|4|54|5|222|0|90|312 73|6|5|53|5.3851648071345|317.385164807135|0|90|407.385164807135 74|6|6|56|4|411.385164807135|0|90|501.385164807135 75|6|7|58|2|503.385164807135|0|90|593.385164807135 76|6|8|60|3|596.385164807135|0|90|686.385164807135 77|6|9|59|10.4403065089106|696.825471316045|0|90|786.825471316045 78|6|10|-1|35.0570962859162|821.882567601961|0|0|821.882567601961 79|7|1|-1|0|0|0|0|0 80|7|2|67|12.2065556157337|12.2065556157337|0|90|102.206555615734 81|7|3|65|1|103.206555615734|0|90|193.206555615734 82|7|4|63|2|195.206555615734|0|90|285.206555615734 83|7|5|62|5|290.206555615734|0|90|380.206555615734 84|7|6|74|3|383.206555615734|0|90|473.206555615734 85|7|7|72|5|478.206555615734|0|90|568.206555615734 86|7|8|61|3|571.206555615734|0|90|661.206555615734 87|7|9|64|2|663.206555615734|0|0|663.206555615734 88|7|10|102|0|663.206555615734|0|90|753.206555615734 89|7|11|68|3|756.206555615734|0|90|846.206555615734 90|7|12|-1|20.6155281280883|866.822083743822|0|0|866.822083743822 91|8|1|-1|0|0|0|0|0 92|8|2|81|47.4341649025257|47.4341649025257|0|90|137.434164902526 93|8|3|78|3|140.434164902526|0|0|140.434164902526 94|8|4|104|0|140.434164902526|0|90|230.434164902526 95|8|5|76|2|232.434164902526|0|90|322.434164902526 96|8|6|71|5|327.434164902526|0|90|417.434164902526 97|8|7|70|5|422.434164902526|0|90|512.434164902526 98|8|8|73|3|515.434164902526|0|90|605.434164902526 99|8|9|77|4|609.434164902526|0|90|699.434164902526 100|8|10|79|1|700.434164902526|0|90|790.434164902526 101|8|11|80|5.3851648071345|795.81932970966|0|90|885.81932970966 102|8|12|-1|51.478150704935|937.297480414595|0|0|937.297480414595 103|9|1|-1|0|0|0|0|0 104|9|2|90|20.6155281280883|20.6155281280883|0|90|110.615528128088 105|9|3|87|5|115.615528128088|0|90|205.615528128088 106|9|4|86|1|206.615528128088|0|90|296.615528128088 107|9|5|83|6|302.615528128088|0|90|392.615528128088 108|9|6|82|3|395.615528128088|0|90|485.615528128088 109|9|7|84|5.8309518948453|491.446480022934|0|90|581.446480022934 110|9|8|85|2.82842712474619|584.27490714768|0|90|674.27490714768 111|9|9|88|3|677.27490714768|0|90|767.27490714768 112|9|10|89|2.82842712474619|770.103334272426|0|90|860.103334272426 113|9|11|91|3.60555127546399|863.70888554789|0|90|953.70888554789 114|9|12|-1|22.3606797749979|976.069565322888|0|0|976.069565322888 115|10|1|-1|0|0|0|0|0 116|10|2|98|30.8058436014987|30.8058436014987|0|90|120.805843601499 117|10|3|96|5.3851648071345|126.191008408633|0|90|216.191008408633 118|10|4|95|2|218.191008408633|0|90|308.191008408633 119|10|5|94|3.60555127546399|311.796559684097|0|90|401.796559684097 120|10|6|92|3.60555127546399|405.402110959561|0|90|495.402110959561 121|10|7|93|2|497.402110959561|0|90|587.402110959561 122|10|8|97|5|592.402110959561|0|0|592.402110959561 123|10|9|106|0|592.402110959561|0|90|682.402110959561 124|10|10|100|5|687.402110959561|0|90|777.402110959561 125|10|11|99|5|782.402110959561|0|90|872.402110959561 126|10|12|-1|33.5410196624968|905.943130622058|0|0|905.943130622058 127|-2|0|-1|879.42275822512|-1|0|9000|9879.42275822512 /* --q2 */ 1|1|1|1|-1|1|0|0|0|0|0|0 2|1|1|2|5|2|10|15.1327459504216|15.1327459504216|0|90|105.132745950422 3|1|1|3|3|2|20|1|106.132745950422|0|90|196.132745950422 4|1|1|4|5|3|10|2|198.132745950422|0|90|288.132745950422 5|1|1|5|8|2|30|2.82842712474619|290.961173075168|0|90|380.961173075168 6|1|1|6|8|3|10|3.60555127546399|384.566724350632|0|90|474.566724350632 7|1|1|7|11|2|20|3|477.566724350632|0|90|567.566724350632 8|1|1|8|9|2|30|3.16227766016838|570.7290020108|0|90|660.7290020108 9|1|1|9|6|2|50|2.23606797749979|662.9650699883|0|90|752.9650699883 10|1|1|10|9|3|40|2.23606797749979|755.2011379658|0|90|845.2011379658 11|1|1|11|6|3|20|3.60555127546399|848.806689241264|0|90|938.806689241264 12|1|1|12|11|3|10|2|940.806689241264|0|90|1030.80668924126 13|1|1|13|3|3|0|3|1033.80668924126|0|90|1123.80668924126 14|1|1|14|-1|6|0|15.8113883008419|1139.61807754211|0|0|1139.61807754211 15|2|1|1|-1|1|0|0|0|0|0|0 16|2|1|2|13|2|30|30.8058436014987|30.8058436014987|0|90|120.805843601499 17|2|1|3|13|3|0|4|124.805843601499|0|90|214.805843601499 18|2|1|4|18|2|20|3|217.805843601499|0|90|307.805843601499 19|2|1|5|19|2|30|5|312.805843601499|0|90|402.805843601499 20|2|1|6|19|3|20|5|407.805843601499|0|90|497.805843601499 21|2|1|7|16|2|60|5|502.805843601499|0|90|592.805843601499 22|2|1|8|16|3|20|2|594.805843601499|0|90|684.805843601499 23|2|1|9|18|3|0|3|687.805843601499|0|90|777.805843601499 24|2|1|10|50|2|10|53.0094331227943|830.815276724293|0|90|920.815276724293 25|2|1|11|50|3|0|3.16227766016838|923.977554384461|0|90|1013.97755438446 26|2|1|12|49|2|10|3|1016.97755438446|0|90|1106.97755438446 27|2|1|13|49|3|0|2|1108.97755438446|0|90|1198.97755438446 28|2|1|14|-1|6|0|18.0277563773199|1217.00531076178|0|0|1217.00531076178 29|3|1|1|-1|1|0|0|0|0|0|0 30|3|1|2|20|2|10|10|10|0|90|100 31|3|1|3|20|3|0|5|105|0|90|195 32|3|1|4|25|2|40|2|197|0|90|287 33|3|1|5|25|3|0|2|289|0|90|379 34|3|1|6|29|2|10|3.60555127546399|382.605551275464|0|90|472.605551275464 35|3|1|7|30|2|20|5|477.605551275464|0|90|567.605551275464 36|3|1|8|28|2|40|3|570.605551275464|0|90|660.605551275464 37|3|1|9|29|3|30|2|662.605551275464|0|90|752.605551275464 38|3|1|10|23|2|40|3|755.605551275464|0|0|755.605551275464 39|3|1|11|23|3|30|0|755.605551275464|0|90|845.605551275464 40|3|1|12|28|3|10|3|848.605551275464|0|90|938.605551275464 41|3|1|13|30|3|0|2|940.605551275464|0|90|1030.60555127546 42|3|1|14|-1|6|0|10.1980390271856|1040.80359030265|0|0|1040.80359030265 43|4|1|1|-1|1|0|0|0|0|0|0 44|4|1|2|32|2|30|31.6227766016838|31.6227766016838|0|90|121.622776601684 45|4|1|3|33|2|70|2|123.622776601684|0|90|213.622776601684 46|4|1|4|32|3|40|5.3851648071345|219.007941408818|0|90|309.007941408818 47|4|1|5|35|2|50|5|314.007941408818|0|90|404.007941408818 48|4|1|6|33|3|10|5.8309518948453|409.838893303664|0|90|499.838893303664 49|4|1|7|38|2|40|2|501.838893303664|0|90|591.838893303664 50|4|1|8|35|3|30|5|596.838893303664|0|90|686.838893303664 51|4|1|9|36|2|40|5|691.838893303664|0|0|691.838893303664 52|4|1|10|36|3|30|0|691.838893303664|0|90|781.838893303664 53|4|1|11|38|3|0|3|784.838893303664|0|90|874.838893303664 54|4|1|12|-1|6|0|32.3882694814033|907.227162785067|0|0|907.227162785067 55|5|1|1|-1|1|0|0|0|0|0|0 56|5|1|2|43|2|10|16.5529453572468|16.5529453572468|0|90|106.552945357247 57|5|1|3|42|2|30|3|109.552945357247|0|90|199.552945357247 58|5|1|4|43|3|20|2|201.552945357247|0|90|291.552945357247 59|5|1|5|42|3|0|2|293.552945357247|0|90|383.552945357247 60|5|1|6|44|2|10|3|386.552945357247|0|90|476.552945357247 61|5|1|7|44|3|0|2.82842712474619|479.381372481993|0|90|569.381372481993 62|5|1|8|45|2|10|2|571.381372481993|0|90|661.381372481993 63|5|1|9|45|3|0|2|663.381372481993|0|90|753.381372481993 64|5|1|10|51|2|10|3|756.381372481993|0|0|756.381372481993 65|5|1|11|51|3|0|0|756.381372481993|0|90|846.381372481993 66|5|1|12|66|2|10|22.561028345357|868.94240082735|0|90|958.94240082735 67|5|1|13|66|3|0|2|960.94240082735|0|90|1050.94240082735 68|5|1|14|-1|6|0|15.8113883008419|1066.75378912819|0|0|1066.75378912819 69|6|1|1|-1|1|0|0|0|0|0|0 70|6|1|2|57|2|40|35|35|0|90|125 71|6|1|3|57|3|0|2|127|0|90|217 72|6|1|4|54|2|40|5|222|0|90|312 73|6|1|5|53|2|60|5.3851648071345|317.385164807135|0|90|407.385164807135 74|6|1|6|56|2|90|4|411.385164807135|0|90|501.385164807135 75|6|1|7|53|3|70|2|503.385164807135|0|90|593.385164807135 76|6|1|8|54|3|30|3|596.385164807135|0|90|686.385164807135 77|6|1|9|56|3|0|10.4403065089106|696.825471316045|0|90|786.825471316045 78|6|1|10|-1|6|0|35.0570962859162|821.882567601961|0|0|821.882567601961 79|7|1|1|-1|1|0|0|0|0|0|0 80|7|1|2|67|2|10|12.2065556157337|12.2065556157337|0|90|102.206555615734 81|7|1|3|65|2|20|1|103.206555615734|0|90|193.206555615734 82|7|1|4|63|2|70|2|195.206555615734|0|90|285.206555615734 83|7|1|5|62|2|90|5|290.206555615734|0|90|380.206555615734 84|7|1|6|63|3|40|3|383.206555615734|0|90|473.206555615734 85|7|1|7|65|3|30|5|478.206555615734|0|90|568.206555615734 86|7|1|8|67|3|20|3|571.206555615734|0|90|661.206555615734 87|7|1|9|64|2|30|2|663.206555615734|0|0|663.206555615734 88|7|1|10|64|3|20|0|663.206555615734|0|90|753.206555615734 89|7|1|11|62|3|0|3|756.206555615734|0|90|846.206555615734 90|7|1|12|-1|6|0|20.6155281280883|866.822083743822|0|0|866.822083743822 91|8|1|1|-1|1|0|0|0|0|0|0 92|8|1|2|81|2|30|47.4341649025257|47.4341649025257|0|90|137.434164902526 93|8|1|3|78|2|50|3|140.434164902526|0|0|140.434164902526 94|8|1|4|78|3|30|0|140.434164902526|0|90|230.434164902526 95|8|1|5|76|2|40|2|232.434164902526|0|90|322.434164902526 96|8|1|6|71|2|60|5|327.434164902526|0|90|417.434164902526 97|8|1|7|81|3|30|5|422.434164902526|0|90|512.434164902526 98|8|1|8|76|3|20|3|515.434164902526|0|90|605.434164902526 99|8|1|9|71|3|0|4|609.434164902526|0|90|699.434164902526 100|8|1|10|79|2|10|1|700.434164902526|0|90|790.434164902526 101|8|1|11|79|3|0|5.3851648071345|795.81932970966|0|90|885.81932970966 102|8|1|12|-1|6|0|51.478150704935|937.297480414595|0|0|937.297480414595 103|9|1|1|-1|1|0|0|0|0|0|0 104|9|1|2|90|2|10|20.6155281280883|20.6155281280883|0|90|110.615528128088 105|9|1|3|87|2|30|5|115.615528128088|0|90|205.615528128088 106|9|1|4|86|2|40|1|206.615528128088|0|90|296.615528128088 107|9|1|5|87|3|20|6|302.615528128088|0|90|392.615528128088 108|9|1|6|82|2|40|3|395.615528128088|0|90|485.615528128088 109|9|1|7|84|2|60|5.8309518948453|491.446480022934|0|90|581.446480022934 110|9|1|8|82|3|40|2.82842712474619|584.27490714768|0|90|674.27490714768 111|9|1|9|90|3|30|3|677.27490714768|0|90|767.27490714768 112|9|1|10|84|3|10|2.82842712474619|770.103334272426|0|90|860.103334272426 113|9|1|11|86|3|0|3.60555127546399|863.70888554789|0|90|953.70888554789 114|9|1|12|-1|6|0|22.3606797749979|976.069565322888|0|0|976.069565322888 115|10|1|1|-1|1|0|0|0|0|0|0 116|10|1|2|98|2|20|30.8058436014987|30.8058436014987|0|90|120.805843601499 117|10|1|3|96|2|30|5.3851648071345|126.191008408633|0|90|216.191008408633 118|10|1|4|98|3|10|2|218.191008408633|0|90|308.191008408633 119|10|1|5|96|3|0|3.60555127546399|311.796559684097|0|90|401.796559684097 120|10|1|6|92|2|20|3.60555127546399|405.402110959561|0|90|495.402110959561 121|10|1|7|92|3|0|2|497.402110959561|0|90|587.402110959561 122|10|1|8|97|2|30|5|592.402110959561|0|0|592.402110959561 123|10|1|9|97|3|0|0|592.402110959561|0|90|682.402110959561 124|10|1|10|100|2|20|5|687.402110959561|0|90|777.402110959561 125|10|1|11|100|3|0|5|782.402110959561|0|90|872.402110959561 126|10|1|12|-1|6|0|33.5410196624968|905.943130622058|0|0|905.943130622058 127|-2|0|0|-1|-1|-1|879.42275822512|-1|0|9000|9879.42275822512 /* --q3 */ pgrouting-3.3.0/docqueries/pickDeliver/pickDeliver.test.sql000066400000000000000000000003651414350551100241020ustar00rootroot00000000000000/* --q1 */ SELECT * FROM _pgr_pickDeliver( 'select * from customer order by id', 25, 200, 1, 30); /* --q2 */ SELECT * FROM _pgr_pickDeliverEuclidean( 'SELECT * FROM orders ORDER BY id', 'SELECT * FROM vehicles', 30); /* --q3 */ pgrouting-3.3.0/docqueries/pickDeliver/test.conf000066400000000000000000000013371414350551100217700ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'Function test for any versions.', 'data' => [], 'tests' => [qw( doc-pickDeliver doc-pickDeliverEuclidean )], 'documentation' => [qw( doc-pickDeliver doc-pickDeliverEuclidean )], #put here the ones that you are not testing (just a place holder) 'nottesting' => [qw( past_example jet_customers differentVechiles jet_customers1 book_from_query )] }, ); # '../../../tools/testers/pickDeliver_pgtap_data.sql', # '../../../tools/testers/vrppdtw_data.sql' ], 1; pgrouting-3.3.0/docqueries/planar/000077500000000000000000000000001414350551100171525ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/planar/CMakeLists.txt000066400000000000000000000005641414350551100217170ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_boyerMyrvold doc-pgr_isPlanar ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/planar/doc-pgr_boyerMyrvold.result000066400000000000000000000035071414350551100245270ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET -- q1 SELECT * FROM pgr_boyerMyrvold( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); seq | source | target | cost -----+--------+--------+------ 1 | 1 | 2 | 1 2 | 3 | 2 | 1 3 | 4 | 3 | 1 4 | 2 | 5 | 1 5 | 3 | 6 | 1 6 | 7 | 8 | 1 7 | 8 | 5 | 1 8 | 5 | 6 | 1 9 | 6 | 9 | 1 10 | 5 | 10 | 1 11 | 6 | 11 | 1 12 | 10 | 11 | 1 13 | 11 | 12 | 1 14 | 10 | 13 | 1 15 | 9 | 12 | 1 16 | 4 | 9 | 1 17 | 14 | 15 | 1 18 | 16 | 17 | 1 (18 rows) -- q2 INSERT INTO edge_table (source, target, cost, reverse_cost) VALUES (1,3,1,-1),(1,4,1,-1),(1,5,1,-1),(2,4,1,-1),(2,5,1,-1),(3,5,1,-1),(4,5,1,-1); INSERT 0 7 -- q3 SELECT * FROM pgr_boyerMyrvold( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); seq | source | target | cost -----+--------+--------+------ (0 rows) -- q4 SELECT * FROM pgr_boyerMyrvold( $$ SELECT id, source, target, cost, reverse_cost FROM edge_table where source = any (ARRAY(SELECT node FROM pgr_connectedComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ') WHERE component = 14) ) OR target = any (ARRAY(SELECT node FROM pgr_connectedComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ') WHERE component = 14) ) $$ ); seq | source | target | cost -----+--------+--------+------ 1 | 14 | 15 | 1 (1 row) -- q5 ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/planar/doc-pgr_boyerMyrvold.test.sql000066400000000000000000000020121414350551100247540ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_boyerMyrvold( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); /* -- q2 */ INSERT INTO edge_table (source, target, cost, reverse_cost) VALUES (1,3,1,-1),(1,4,1,-1),(1,5,1,-1),(2,4,1,-1),(2,5,1,-1),(3,5,1,-1),(4,5,1,-1); /* -- q3 */ SELECT * FROM pgr_boyerMyrvold( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); /* -- q4 */ SELECT * FROM pgr_boyerMyrvold( $$ SELECT id, source, target, cost, reverse_cost FROM edge_table where source = any (ARRAY(SELECT node FROM pgr_connectedComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ') WHERE component = 14) ) OR target = any (ARRAY(SELECT node FROM pgr_connectedComponents( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ') WHERE component = 14) ) $$ ); /* -- q5 */ pgrouting-3.3.0/docqueries/planar/doc-pgr_isPlanar.result000066400000000000000000000010771414350551100236030ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_isPlanar( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); pgr_isplanar -------------- t (1 row) /* -- q2 */ INSERT INTO edge_table (source, target, cost, reverse_cost) VALUES (3, 9, 1, 1), (3, 16, 1, 1), (4, 6, 1, 1), (4, 16, 1, 1), (6, 16, 1, 1), (9, 16, 1, 1); INSERT 0 6 /* -- q3 */ SELECT * FROM pgr_isPlanar( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); pgr_isplanar -------------- f (1 row) /* -- q4 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/planar/doc-pgr_isPlanar.test.sql000066400000000000000000000006361414350551100240420ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_isPlanar( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); /* -- q2 */ INSERT INTO edge_table (source, target, cost, reverse_cost) VALUES (3, 9, 1, 1), (3, 16, 1, 1), (4, 6, 1, 1), (4, 16, 1, 1), (6, 16, 1, 1), (9, 16, 1, 1); /* -- q3 */ SELECT * FROM pgr_isPlanar( 'SELECT id, source, target, cost, reverse_cost FROM edge_table' ); /* -- q4 */ pgrouting-3.3.0/docqueries/planar/test.conf000066400000000000000000000004531414350551100210020ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'boyerMyrvold planarity algorithm tests.', 'data' => [ ], 'tests' => [qw( doc-pgr_isPlanar )], 'documentation' => [qw( doc-pgr_isPlanar )] }, ); 1; pgrouting-3.3.0/docqueries/spanningTree/000077500000000000000000000000001414350551100203325ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/spanningTree/CMakeLists.txt000066400000000000000000000010051414350551100230660ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_kruskalBFS doc-pgr_kruskalDD doc-pgr_kruskalDFS doc-pgr_kruskal doc-pgr_primBFS doc-pgr_primDD doc-pgr_primDFS doc-pgr_prim doc-pgr_randomSpanTree ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_kruskal.result000066400000000000000000000006771414350551100246730ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_kruskal( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id' ) ORDER BY edge; edge | cost ------+------ 1 | 1 2 | 1 3 | 1 6 | 1 7 | 1 10 | 1 11 | 1 12 | 1 13 | 1 14 | 1 15 | 1 16 | 1 17 | 1 18 | 1 (14 rows) /* -- q2 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_kruskal.test.sql000066400000000000000000000002351414350551100251200ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_kruskal( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id' ) ORDER BY edge; /* -- q2 */ pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_kruskalBFS.result000066400000000000000000000037771414350551100252320ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* --q1 */ SELECT * FROM pgr_kruskalBFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 1 | 1 | 1 | 1 3 | 1 | 2 | 3 | 2 | 1 | 1 4 | 2 | 2 | 4 | 3 | 1 | 2 5 | 3 | 2 | 9 | 16 | 1 | 3 6 | 4 | 2 | 12 | 15 | 1 | 4 7 | 5 | 2 | 11 | 13 | 1 | 5 8 | 6 | 2 | 6 | 11 | 1 | 6 9 | 6 | 2 | 10 | 12 | 1 | 6 10 | 7 | 2 | 5 | 10 | 1 | 7 11 | 7 | 2 | 13 | 14 | 1 | 7 12 | 8 | 2 | 8 | 7 | 1 | 8 13 | 9 | 2 | 7 | 6 | 1 | 9 (13 rows) /* --q2 */ SELECT * FROM pgr_kruskalBFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[13,2], max_depth := 3 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 1 | 1 | 1 | 1 3 | 1 | 2 | 3 | 2 | 1 | 1 4 | 2 | 2 | 4 | 3 | 1 | 2 5 | 3 | 2 | 9 | 16 | 1 | 3 6 | 0 | 13 | 13 | -1 | 0 | 0 7 | 1 | 13 | 10 | 14 | 1 | 1 8 | 2 | 13 | 5 | 10 | 1 | 2 9 | 2 | 13 | 11 | 12 | 1 | 2 10 | 3 | 13 | 8 | 7 | 1 | 3 11 | 3 | 13 | 6 | 11 | 1 | 3 12 | 3 | 13 | 12 | 13 | 1 | 3 (12 rows) /* --q3 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_kruskalBFS.test.sql000066400000000000000000000004531414350551100254550ustar00rootroot00000000000000/* --q1 */ SELECT * FROM pgr_kruskalBFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2 ); /* --q2 */ SELECT * FROM pgr_kruskalBFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[13,2], max_depth := 3 ); /* --q3 */ pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_kruskalDD.result000066400000000000000000000030651414350551100250750ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_kruskalDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2, 3.5 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 1 | 1 | 1 | 1 3 | 1 | 2 | 3 | 2 | 1 | 1 4 | 2 | 2 | 4 | 3 | 1 | 2 5 | 3 | 2 | 9 | 16 | 1 | 3 (5 rows) /* -- q2 */ SELECT * FROM pgr_kruskalDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[13,2], 3.5 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 1 | 1 | 1 | 1 3 | 1 | 2 | 3 | 2 | 1 | 1 4 | 2 | 2 | 4 | 3 | 1 | 2 5 | 3 | 2 | 9 | 16 | 1 | 3 6 | 0 | 13 | 13 | -1 | 0 | 0 7 | 1 | 13 | 10 | 14 | 1 | 1 8 | 2 | 13 | 5 | 10 | 1 | 2 9 | 3 | 13 | 8 | 7 | 1 | 3 10 | 2 | 13 | 11 | 12 | 1 | 2 11 | 3 | 13 | 6 | 11 | 1 | 3 12 | 3 | 13 | 12 | 13 | 1 | 3 (12 rows) /* -- q3 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_kruskalDD.test.sql000066400000000000000000000004521414350551100253310ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_kruskalDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2, 3.5 ); /* -- q2 */ SELECT * FROM pgr_kruskalDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[13,2], 3.5 ); /* -- q3 */ pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_kruskalDFS.result000066400000000000000000000037771414350551100252340ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* --q1 */ SELECT * FROM pgr_kruskalDFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 1 | 1 | 1 | 1 3 | 1 | 2 | 3 | 2 | 1 | 1 4 | 2 | 2 | 4 | 3 | 1 | 2 5 | 3 | 2 | 9 | 16 | 1 | 3 6 | 4 | 2 | 12 | 15 | 1 | 4 7 | 5 | 2 | 11 | 13 | 1 | 5 8 | 6 | 2 | 6 | 11 | 1 | 6 9 | 6 | 2 | 10 | 12 | 1 | 6 10 | 7 | 2 | 5 | 10 | 1 | 7 11 | 8 | 2 | 8 | 7 | 1 | 8 12 | 9 | 2 | 7 | 6 | 1 | 9 13 | 7 | 2 | 13 | 14 | 1 | 7 (13 rows) /* --q2 */ SELECT * FROM pgr_kruskalDFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[13,2], max_depth := 3 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 1 | 1 | 1 | 1 3 | 1 | 2 | 3 | 2 | 1 | 1 4 | 2 | 2 | 4 | 3 | 1 | 2 5 | 3 | 2 | 9 | 16 | 1 | 3 6 | 0 | 13 | 13 | -1 | 0 | 0 7 | 1 | 13 | 10 | 14 | 1 | 1 8 | 2 | 13 | 5 | 10 | 1 | 2 9 | 3 | 13 | 8 | 7 | 1 | 3 10 | 2 | 13 | 11 | 12 | 1 | 2 11 | 3 | 13 | 6 | 11 | 1 | 3 12 | 3 | 13 | 12 | 13 | 1 | 3 (12 rows) /* --q3 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_kruskalDFS.test.sql000066400000000000000000000004531414350551100254570ustar00rootroot00000000000000/* --q1 */ SELECT * FROM pgr_kruskalDFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2 ); /* --q2 */ SELECT * FROM pgr_kruskalDFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[13,2], max_depth := 3 ); /* --q3 */ pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_prim.result000066400000000000000000000006301414350551100241530ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT edge, cost FROM pgr_prim( 'SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id < 14' ) ORDER BY edge; edge | cost ------+------ 1 | 1 2 | 1 3 | 1 4 | 1 5 | 1 6 | 1 7 | 1 9 | 1 10 | 1 11 | 1 13 | 1 (11 rows) /* -- q2 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_prim.test.sql000066400000000000000000000002361414350551100244140ustar00rootroot00000000000000 /* -- q1 */ SELECT edge, cost FROM pgr_prim( 'SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id < 14' ) ORDER BY edge; /* -- q2 */ pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_primBFS.result000066400000000000000000000067221414350551100245160ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* --q1 */ SELECT * FROM pgr_primBFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 1 | 1 | 1 | 1 3 | 1 | 2 | 3 | 2 | 1 | 1 4 | 1 | 2 | 5 | 4 | 1 | 1 5 | 2 | 2 | 4 | 3 | 1 | 2 6 | 2 | 2 | 6 | 5 | 1 | 2 7 | 2 | 2 | 8 | 7 | 1 | 2 8 | 2 | 2 | 10 | 10 | 1 | 2 9 | 3 | 2 | 9 | 9 | 1 | 3 10 | 3 | 2 | 11 | 11 | 1 | 3 11 | 3 | 2 | 7 | 6 | 1 | 3 12 | 3 | 2 | 13 | 14 | 1 | 3 13 | 4 | 2 | 12 | 13 | 1 | 4 (13 rows) /* --q2 */ SELECT * FROM pgr_primBFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[13,2], max_depth := 3 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 1 | 1 | 1 | 1 3 | 1 | 2 | 3 | 2 | 1 | 1 4 | 1 | 2 | 5 | 4 | 1 | 1 5 | 2 | 2 | 4 | 3 | 1 | 2 6 | 2 | 2 | 6 | 5 | 1 | 2 7 | 2 | 2 | 8 | 7 | 1 | 2 8 | 2 | 2 | 10 | 10 | 1 | 2 9 | 3 | 2 | 9 | 9 | 1 | 3 10 | 3 | 2 | 11 | 11 | 1 | 3 11 | 3 | 2 | 7 | 6 | 1 | 3 12 | 3 | 2 | 13 | 14 | 1 | 3 13 | 0 | 13 | 13 | -1 | 0 | 0 14 | 1 | 13 | 10 | 14 | 1 | 1 15 | 2 | 13 | 5 | 10 | 1 | 2 16 | 3 | 13 | 2 | 4 | 1 | 3 17 | 3 | 13 | 8 | 7 | 1 | 3 (17 rows) /* --q3 */ SELECT * FROM pgr_primBFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 0 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 1 | 1 | -1 | 0 | 0 2 | 1 | 1 | 2 | 1 | 1 | 1 3 | 2 | 1 | 3 | 2 | 1 | 2 4 | 2 | 1 | 5 | 4 | 1 | 2 5 | 3 | 1 | 4 | 3 | 1 | 3 6 | 3 | 1 | 6 | 5 | 1 | 3 7 | 3 | 1 | 8 | 7 | 1 | 3 8 | 3 | 1 | 10 | 10 | 1 | 3 9 | 4 | 1 | 9 | 9 | 1 | 4 10 | 4 | 1 | 11 | 11 | 1 | 4 11 | 4 | 1 | 7 | 6 | 1 | 4 12 | 4 | 1 | 13 | 14 | 1 | 4 13 | 5 | 1 | 12 | 13 | 1 | 5 14 | 0 | 14 | 14 | -1 | 0 | 0 15 | 1 | 14 | 15 | 17 | 1 | 1 16 | 0 | 16 | 16 | -1 | 0 | 0 17 | 1 | 16 | 17 | 18 | 1 | 1 (17 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_primBFS.test.sql000066400000000000000000000006321414350551100247470ustar00rootroot00000000000000/* --q1 */ SELECT * FROM pgr_primBFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2 ); /* --q2 */ SELECT * FROM pgr_primBFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[13,2], max_depth := 3 ); /* --q3 */ SELECT * FROM pgr_primBFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 0 ); pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_primDD.result000066400000000000000000000043301414350551100243640ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_primDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2, 3.5 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 1 | 1 | 1 | 1 3 | 1 | 2 | 3 | 2 | 1 | 1 4 | 2 | 2 | 4 | 3 | 1 | 2 5 | 2 | 2 | 6 | 5 | 1 | 2 6 | 3 | 2 | 9 | 9 | 1 | 3 7 | 3 | 2 | 11 | 11 | 1 | 3 8 | 1 | 2 | 5 | 4 | 1 | 1 9 | 2 | 2 | 8 | 7 | 1 | 2 10 | 3 | 2 | 7 | 6 | 1 | 3 11 | 2 | 2 | 10 | 10 | 1 | 2 12 | 3 | 2 | 13 | 14 | 1 | 3 (12 rows) /* -- q2 */ SELECT * FROM pgr_primDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[13,2], 3.5 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 1 | 1 | 1 | 1 3 | 1 | 2 | 3 | 2 | 1 | 1 4 | 2 | 2 | 4 | 3 | 1 | 2 5 | 2 | 2 | 6 | 5 | 1 | 2 6 | 3 | 2 | 9 | 9 | 1 | 3 7 | 3 | 2 | 11 | 11 | 1 | 3 8 | 1 | 2 | 5 | 4 | 1 | 1 9 | 2 | 2 | 8 | 7 | 1 | 2 10 | 3 | 2 | 7 | 6 | 1 | 3 11 | 2 | 2 | 10 | 10 | 1 | 2 12 | 3 | 2 | 13 | 14 | 1 | 3 13 | 0 | 13 | 13 | -1 | 0 | 0 14 | 1 | 13 | 10 | 14 | 1 | 1 15 | 2 | 13 | 5 | 10 | 1 | 2 16 | 3 | 13 | 2 | 4 | 1 | 3 17 | 3 | 13 | 8 | 7 | 1 | 3 (17 rows) /* -- q3 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_primDD.test.sql000066400000000000000000000004401414350551100246210ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_primDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2, 3.5 ); /* -- q2 */ SELECT * FROM pgr_primDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[13,2], 3.5 ); /* -- q3 */ pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_primDFS.result000066400000000000000000000067221414350551100245200ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* --q1 */ SELECT * FROM pgr_primDFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 1 | 1 | 1 | 1 3 | 1 | 2 | 3 | 2 | 1 | 1 4 | 2 | 2 | 4 | 3 | 1 | 2 5 | 2 | 2 | 6 | 5 | 1 | 2 6 | 3 | 2 | 9 | 9 | 1 | 3 7 | 3 | 2 | 11 | 11 | 1 | 3 8 | 4 | 2 | 12 | 13 | 1 | 4 9 | 1 | 2 | 5 | 4 | 1 | 1 10 | 2 | 2 | 8 | 7 | 1 | 2 11 | 3 | 2 | 7 | 6 | 1 | 3 12 | 2 | 2 | 10 | 10 | 1 | 2 13 | 3 | 2 | 13 | 14 | 1 | 3 (13 rows) /* --q2 */ SELECT * FROM pgr_primDFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[13,2], max_depth := 3 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 1 | 1 | 1 | 1 3 | 1 | 2 | 3 | 2 | 1 | 1 4 | 2 | 2 | 4 | 3 | 1 | 2 5 | 2 | 2 | 6 | 5 | 1 | 2 6 | 3 | 2 | 9 | 9 | 1 | 3 7 | 3 | 2 | 11 | 11 | 1 | 3 8 | 1 | 2 | 5 | 4 | 1 | 1 9 | 2 | 2 | 8 | 7 | 1 | 2 10 | 3 | 2 | 7 | 6 | 1 | 3 11 | 2 | 2 | 10 | 10 | 1 | 2 12 | 3 | 2 | 13 | 14 | 1 | 3 13 | 0 | 13 | 13 | -1 | 0 | 0 14 | 1 | 13 | 10 | 14 | 1 | 1 15 | 2 | 13 | 5 | 10 | 1 | 2 16 | 3 | 13 | 2 | 4 | 1 | 3 17 | 3 | 13 | 8 | 7 | 1 | 3 (17 rows) /* --q3 */ SELECT * FROM pgr_primDFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 0 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 1 | 1 | -1 | 0 | 0 2 | 1 | 1 | 2 | 1 | 1 | 1 3 | 2 | 1 | 3 | 2 | 1 | 2 4 | 3 | 1 | 4 | 3 | 1 | 3 5 | 3 | 1 | 6 | 5 | 1 | 3 6 | 4 | 1 | 9 | 9 | 1 | 4 7 | 4 | 1 | 11 | 11 | 1 | 4 8 | 5 | 1 | 12 | 13 | 1 | 5 9 | 2 | 1 | 5 | 4 | 1 | 2 10 | 3 | 1 | 8 | 7 | 1 | 3 11 | 4 | 1 | 7 | 6 | 1 | 4 12 | 3 | 1 | 10 | 10 | 1 | 3 13 | 4 | 1 | 13 | 14 | 1 | 4 14 | 0 | 14 | 14 | -1 | 0 | 0 15 | 1 | 14 | 15 | 17 | 1 | 1 16 | 0 | 16 | 16 | -1 | 0 | 0 17 | 1 | 16 | 17 | 18 | 1 | 1 (17 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_primDFS.test.sql000066400000000000000000000006321414350551100247510ustar00rootroot00000000000000/* --q1 */ SELECT * FROM pgr_primDFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2 ); /* --q2 */ SELECT * FROM pgr_primDFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[13,2], max_depth := 3 ); /* --q3 */ SELECT * FROM pgr_primDFS( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 0 ); pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_randomSpanTree.result000066400000000000000000000012001414350551100261200ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET -- q1 SELECT * FROM pgr_randomSpanTree( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 5 ); ERROR: function pgr_randomspantree(unknown, integer) does not exist LINE 1: SELECT * FROM pgr_randomSpanTree( ^ HINT: No function matches the given name and argument types. You might need to add explicit type casts. -- q2 SELECT * FROM pgr_randomSpanTree( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 4, false ); ERROR: current transaction is aborted, commands ignored until end of transaction block -- q3 ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/spanningTree/doc-pgr_randomSpanTree.test.sql000066400000000000000000000004061414350551100263660ustar00rootroot00000000000000 /* -- q1 */ SELECT * FROM pgr_randomSpanTree( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 5 ); /* -- q2 */ SELECT * FROM pgr_randomSpanTree( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', 4, false ); /* -- q3 */ pgrouting-3.3.0/docqueries/spanningTree/test.conf000066400000000000000000000012611414350551100221600ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'Spanning tree algorithm tets.', 'data' => [ ], 'tests' => [qw( doc-pgr_kruskal doc-pgr_kruskalDD doc-pgr_kruskalDFS doc-pgr_kruskalBFS doc-pgr_prim doc-pgr_primDFS doc-pgr_primDD doc-pgr_primBFS )], 'documentation' => [qw( doc-pgr_kruskal doc-pgr_kruskalDD doc-pgr_kruskalDFS doc-pgr_kruskalBFS doc-pgr_prim doc-pgr_primDFS doc-pgr_primDD doc-pgr_primBFS )] }, ); 1; pgrouting-3.3.0/docqueries/src/000077500000000000000000000000001414350551100164645ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/src/CMakeLists.txt000066400000000000000000000005061414350551100212250ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/topologicalSort/000077500000000000000000000000001414350551100210615ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/topologicalSort/CMakeLists.txt000066400000000000000000000005361414350551100236250ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-topologicalSort ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/topologicalSort/doc-topologicalSort.result000066400000000000000000000040271414350551100262530ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET CREATE TABLE edge_table1 ( id serial, source integer, target integer, cost double precision, reverse_cost double precision ); CREATE TABLE INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (0,1,1,-1); INSERT 0 1 INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (0,3,1,-1); INSERT 0 1 INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (0,2,1,-1); INSERT 0 1 INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (1,3,1,-1); INSERT 0 1 INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (1,2,1,-1); INSERT 0 1 INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (3,2,1,-1); INSERT 0 1 /* -- q1 */ SELECT * FROM pgr_topologicalsort( 'SELECT id,source,target,cost,reverse_cost FROM edge_table1' ); seq | sorted_v -----+---------- 1 | 0 2 | 1 3 | 3 4 | 2 (4 rows) /* -- q2 */ SELECT * FROM pgr_topologicalsort( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where id=2' ); seq | sorted_v -----+---------- 1 | 3 2 | 2 (2 rows) SELECT * FROM pgr_topologicalsort( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where id=3' ); seq | sorted_v -----+---------- 1 | 4 2 | 3 (2 rows) SELECT * FROM pgr_topologicalsort( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where id=2 or id=3' ); seq | sorted_v -----+---------- 1 | 4 2 | 3 3 | 2 (3 rows) SELECT * FROM pgr_topologicalsort( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where id=11' ); seq | sorted_v -----+---------- 1 | 6 2 | 11 (2 rows) /* -- q3 */ SELECT * FROM pgr_topologicalsort( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where cost=-1 or reverse_cost=-1' ); seq | sorted_v -----+---------- 1 | 10 2 | 4 3 | 3 4 | 6 5 | 11 6 | 12 7 | 2 (7 rows) /* -- q4 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/topologicalSort/doc-topologicalSort.test.sql000066400000000000000000000025111414350551100265060ustar00rootroot00000000000000CREATE TABLE edge_table1 ( id serial, source integer, target integer, cost double precision, reverse_cost double precision ); INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (0,1,1,-1); INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (0,3,1,-1); INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (0,2,1,-1); INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (1,3,1,-1); INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (1,2,1,-1); INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (3,2,1,-1); /* -- q1 */ SELECT * FROM pgr_topologicalsort( 'SELECT id,source,target,cost,reverse_cost FROM edge_table1' ); /* -- q2 */ SELECT * FROM pgr_topologicalsort( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where id=2' ); SELECT * FROM pgr_topologicalsort( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where id=3' ); SELECT * FROM pgr_topologicalsort( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where id=2 or id=3' ); SELECT * FROM pgr_topologicalsort( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where id=11' ); /* -- q3 */ SELECT * FROM pgr_topologicalsort( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where cost=-1 or reverse_cost=-1' ); /* -- q4 */ pgrouting-3.3.0/docqueries/topologicalSort/test.conf000066400000000000000000000004521414350551100227100ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'topologicalSort algorithm tests.', 'data' => [ ], 'tests' => [qw( doc-topologicalSort )], 'documentation' => [qw( doc-topologicalSort )] }, ); 1; pgrouting-3.3.0/docqueries/topology/000077500000000000000000000000001414350551100175515ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/topology/CMakeLists.txt000066400000000000000000000007501414350551100223130ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_analyzeGraph doc-pgr_analyzeOneWay doc-pgr_createTopology doc-pgr_createVerticesTable doc-pgr_extractVertices doc-pgr_nodeNetwork ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/topology/createVertTab-any.result000066400000000000000000000343271414350551100243420ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SELECT pgr_createVerticesTable('edge_table'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) SELECT pgr_createVerticesTable('edge_table','the_geom','source','target'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) SELECT pgr_createVerticesTable('edge_table',the_geom:='the_geom',source:='source',target:='target'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) SELECT pgr_createVerticesTable('edge_table',source:='source',target:='target',the_geom:='the_geom'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) SELECT pgr_createVerticesTable('edge_table',source:='source'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) SELECT pgr_createVerticesTable('edge_table',rows_where:='id < 10'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','id < 10') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 9 VERTICES NOTICE: FOR 10 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 10 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) SELECT pgr_createVerticesTable('edge_table',rows_where:='the_geom && (select st_buffer(the_geom,0.5) FROM edge_table WHERE id=5)'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','the_geom && (select st_buffer(the_geom,0.5) FROM edge_table WHERE id=5)') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 9 VERTICES NOTICE: FOR 9 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 9 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) CREATE TABLE otherTable AS (SELECT 100 AS gid, st_point(2.5,2.5) AS other_geom) ; SELECT 1 SELECT pgr_createVerticesTable('edge_table',rows_where:='the_geom && (select st_buffer(other_geom,0.5) FROM otherTable WHERE gid=100)'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','the_geom && (select st_buffer(other_geom,0.5) FROM otherTable WHERE gid=100)') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 10 VERTICES NOTICE: FOR 12 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 12 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) CREATE TABLE mytable AS (SELECT id AS gid, the_geom AS mygeom,source AS src ,target AS tgt FROM edge_table) ; SELECT 18 SELECT pgr_createVerticesTable('mytable','mygeom','src','tgt'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.mytable_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.mytable is: public.mytable_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) SELECT pgr_createVerticesTable('mytable',the_geom:='mygeom',source:='src',target:='tgt'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.mytable_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.mytable is: public.mytable_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) SELECT pgr_createVerticesTable('mytable',source:='src',target:='tgt',the_geom:='mygeom'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.mytable_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.mytable is: public.mytable_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) SELECT pgr_createVerticesTable('mytable','mygeom','src','tgt',rows_where:='gid < 10'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','gid < 10') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.mytable_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 9 VERTICES NOTICE: FOR 10 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 10 NOTICE: Vertices table for table public.mytable is: public.mytable_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) SELECT pgr_createVerticesTable('mytable',source:='src',target:='tgt',the_geom:='mygeom',rows_where:='gid < 10'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','gid < 10') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.mytable_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 9 VERTICES NOTICE: FOR 10 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 10 NOTICE: Vertices table for table public.mytable is: public.mytable_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) SELECT pgr_createVerticesTable('mytable','mygeom','src','tgt', rows_where:='mygeom && (SELECT st_buffer(mygeom,0.5) FROM mytable WHERE gid=5)'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','mygeom && (SELECT st_buffer(mygeom,0.5) FROM mytable WHERE gid=5)') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.mytable_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 9 VERTICES NOTICE: FOR 9 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 9 NOTICE: Vertices table for table public.mytable is: public.mytable_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) SELECT pgr_createVerticesTable('mytable',source:='src',target:='tgt',the_geom:='mygeom', rows_where:='mygeom && (SELECT st_buffer(mygeom,0.5) FROM mytable WHERE gid=5)'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','mygeom && (SELECT st_buffer(mygeom,0.5) FROM mytable WHERE gid=5)') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.mytable_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 9 VERTICES NOTICE: FOR 9 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 9 NOTICE: Vertices table for table public.mytable is: public.mytable_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) DROP TABLE IF EXISTS otherTable; DROP TABLE CREATE TABLE otherTable AS (SELECT 100 AS gid, st_point(2.5,2.5) AS other_geom) ; SELECT 1 SELECT pgr_createVerticesTable('mytable','mygeom','src','tgt', rows_where:='mygeom && (SELECT st_buffer(other_geom,0.5) FROM otherTable WHERE gid=100)'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','mygeom && (SELECT st_buffer(other_geom,0.5) FROM otherTable WHERE gid=100)') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.mytable_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 10 VERTICES NOTICE: FOR 12 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 12 NOTICE: Vertices table for table public.mytable is: public.mytable_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) SELECT pgr_createVerticesTable('mytable',source:='src',target:='tgt',the_geom:='mygeom', rows_where:='mygeom && (SELECT st_buffer(other_geom,0.5) FROM otherTable WHERE gid=100)'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','mygeom && (SELECT st_buffer(other_geom,0.5) FROM otherTable WHERE gid=100)') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.mytable_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 10 VERTICES NOTICE: FOR 12 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 12 NOTICE: Vertices table for table public.mytable is: public.mytable_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) SELECT pgr_createVerticesTable('edge_table'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/topology/createVertTab-any.test.sql000066400000000000000000000057431414350551100246010ustar00rootroot00000000000000------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------ -- PGR_createVerticesTable ------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------ -- SELECT pgr_createTopology('edge_table',0.001); SELECT pgr_createVerticesTable('edge_table'); SELECT pgr_createVerticesTable('edge_table','the_geom','source','target'); -- SELECT pgr_createVerticesTable('edge_table','source','the_geom','target'); SELECT pgr_createVerticesTable('edge_table',the_geom:='the_geom',source:='source',target:='target'); SELECT pgr_createVerticesTable('edge_table',source:='source',target:='target',the_geom:='the_geom'); SELECT pgr_createVerticesTable('edge_table',source:='source'); SELECT pgr_createVerticesTable('edge_table',rows_where:='id < 10'); SELECT pgr_createVerticesTable('edge_table',rows_where:='the_geom && (select st_buffer(the_geom,0.5) FROM edge_table WHERE id=5)'); CREATE TABLE otherTable AS (SELECT 100 AS gid, st_point(2.5,2.5) AS other_geom) ; SELECT pgr_createVerticesTable('edge_table',rows_where:='the_geom && (select st_buffer(other_geom,0.5) FROM otherTable WHERE gid=100)'); CREATE TABLE mytable AS (SELECT id AS gid, the_geom AS mygeom,source AS src ,target AS tgt FROM edge_table) ; SELECT pgr_createVerticesTable('mytable','mygeom','src','tgt'); -- SELECT pgr_createVerticesTable('mytable','src','mygeom','tgt'); SELECT pgr_createVerticesTable('mytable',the_geom:='mygeom',source:='src',target:='tgt'); SELECT pgr_createVerticesTable('mytable',source:='src',target:='tgt',the_geom:='mygeom'); SELECT pgr_createVerticesTable('mytable','mygeom','src','tgt',rows_where:='gid < 10'); SELECT pgr_createVerticesTable('mytable',source:='src',target:='tgt',the_geom:='mygeom',rows_where:='gid < 10'); SELECT pgr_createVerticesTable('mytable','mygeom','src','tgt', rows_where:='mygeom && (SELECT st_buffer(mygeom,0.5) FROM mytable WHERE gid=5)'); SELECT pgr_createVerticesTable('mytable',source:='src',target:='tgt',the_geom:='mygeom', rows_where:='mygeom && (SELECT st_buffer(mygeom,0.5) FROM mytable WHERE gid=5)'); DROP TABLE IF EXISTS otherTable; CREATE TABLE otherTable AS (SELECT 100 AS gid, st_point(2.5,2.5) AS other_geom) ; SELECT pgr_createVerticesTable('mytable','mygeom','src','tgt', rows_where:='mygeom && (SELECT st_buffer(other_geom,0.5) FROM otherTable WHERE gid=100)'); SELECT pgr_createVerticesTable('mytable',source:='src',target:='tgt',the_geom:='mygeom', rows_where:='mygeom && (SELECT st_buffer(other_geom,0.5) FROM otherTable WHERE gid=100)'); ------------------------------------- SELECT pgr_createVerticesTable('edge_table'); pgrouting-3.3.0/docqueries/topology/doc-pgr_analyzeGraph.result000066400000000000000000000561051414350551100250600ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT pgr_createTopology('edge_table',0.001, clean := true); NOTICE: PROCESSING: NOTICE: pgr_createTopology('edge_table', 0.001, 'the_geom', 'id', 'source', 'target', rows_where := 'true', clean := t) NOTICE: Performing checks, please wait ..... NOTICE: Creating Topology, Please wait... NOTICE: -------------> TOPOLOGY CREATED FOR 18 edges NOTICE: Rows with NULL geometry or NULL id: 0 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createtopology -------------------- OK (1 row) SELECT pgr_analyzeGraph('edge_table',0.001); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','true') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 2 NOTICE: Dead ends: 7 NOTICE: Potential gaps found near dead ends: 1 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q1.1 */ /* -- q3 */ SELECT pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','true') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 2 NOTICE: Dead ends: 7 NOTICE: Potential gaps found near dead ends: 1 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q3.1 */ /* -- q5 */ SELECT pgr_analyzeGraph('edge_table',0.001,'id','the_geom','source','target'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'id','the_geom','source','target','true') NOTICE: Performing checks, please wait ... NOTICE: Got function st_srid(bigint) does not exist NOTICE: ERROR: something went wrong when checking for SRID of id in table public.edge_table pgr_analyzegraph ------------------ FAIL (1 row) /* -- q5.1 */ /* -- q6 */ SELECT pgr_analyzeGraph('edge_table',0.001,the_geom:='the_geom',id:='id',source:='source',target:='target'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','true') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 2 NOTICE: Dead ends: 7 NOTICE: Potential gaps found near dead ends: 1 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q6.1 */ /* -- q7 */ SELECT pgr_analyzeGraph('edge_table',0.001,source:='source',id:='id',target:='target',the_geom:='the_geom'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','true') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 2 NOTICE: Dead ends: 7 NOTICE: Potential gaps found near dead ends: 1 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q7.1 */ /* -- q8. */ SELECT pgr_analyzeGraph('edge_table',0.001,source:='source'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','true') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 2 NOTICE: Dead ends: 7 NOTICE: Potential gaps found near dead ends: 1 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q8.1 */ /* -- q9 */ SELECT pgr_analyzeGraph('edge_table',0.001,rows_where:='id < 10'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','id < 10') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 0 NOTICE: Dead ends: 4 NOTICE: Potential gaps found near dead ends: 0 NOTICE: Intersections detected: 0 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q9.1 */ /* -- q10 */ SELECT pgr_analyzeGraph('edge_table',0.001,rows_where:='the_geom && (SELECT st_buffer(the_geom,0.05) FROM edge_table WHERE id=5)'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','the_geom && (SELECT st_buffer(the_geom,0.05) FROM edge_table WHERE id=5)') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 0 NOTICE: Dead ends: 5 NOTICE: Potential gaps found near dead ends: 0 NOTICE: Intersections detected: 0 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q10.1 */ /* -- q11 */ CREATE TABLE otherTable AS (SELECT 100 AS gid, st_point(2.5,2.5) AS other_geom) ; SELECT 1 SELECT pgr_analyzeGraph('edge_table',0.001,rows_where:='the_geom && (SELECT st_buffer(other_geom,1) FROM otherTable WHERE gid=100)'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','the_geom && (SELECT st_buffer(other_geom,1) FROM otherTable WHERE gid=100)') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 2 NOTICE: Dead ends: 10 NOTICE: Potential gaps found near dead ends: 1 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q11.1 */ /* -- q12 */ CREATE TABLE mytable AS (SELECT id AS gid, source AS src ,target AS tgt , the_geom AS mygeom FROM edge_table); SELECT 18 SELECT pgr_createTopology('mytable',0.001,'mygeom','gid','src','tgt', clean := true); NOTICE: PROCESSING: NOTICE: pgr_createTopology('mytable', 0.001, 'mygeom', 'gid', 'src', 'tgt', rows_where := 'true', clean := t) NOTICE: Performing checks, please wait ..... NOTICE: Creating Topology, Please wait... NOTICE: -------------> TOPOLOGY CREATED FOR 18 edges NOTICE: Rows with NULL geometry or NULL id: 0 NOTICE: Vertices table for table public.mytable is: public.mytable_vertices_pgr NOTICE: ---------------------------------------------- pgr_createtopology -------------------- OK (1 row) /* -- q12.1 */ /* -- q13 */ SELECT pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt','true') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 2 NOTICE: Dead ends: 7 NOTICE: Potential gaps found near dead ends: 1 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q13.1 */ /* -- q14 */ SELECT pgr_analyzeGraph('mytable',0.0001,'gid','mygeom','src','tgt'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('mytable',0.0001,'gid','mygeom','src','tgt','true') NOTICE: Performing checks, please wait ... NOTICE: Got function st_srid(bigint) does not exist NOTICE: ERROR: something went wrong when checking for SRID of gid in table public.mytable pgr_analyzegraph ------------------ FAIL (1 row) /* -- q14.1 */ /* -- q15 */ SELECT pgr_analyzeGraph('mytable',0.001,the_geom:='mygeom',id:='gid',source:='src',target:='tgt'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt','true') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 2 NOTICE: Dead ends: 7 NOTICE: Potential gaps found near dead ends: 1 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q15.1 */ /* -- q16 */ SELECT pgr_analyzeGraph('mytable',0.001,source:='src',id:='gid',target:='tgt',the_geom:='mygeom'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt','true') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 2 NOTICE: Dead ends: 7 NOTICE: Potential gaps found near dead ends: 1 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q16.1 */ /* -- q17 */ SELECT pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt',rows_where:='gid < 10'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt','gid < 10') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 0 NOTICE: Dead ends: 4 NOTICE: Potential gaps found near dead ends: 0 NOTICE: Intersections detected: 0 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q17.1 */ /* -- q18 */ SELECT pgr_analyzeGraph('mytable',0.001,source:='src',id:='gid',target:='tgt',the_geom:='mygeom',rows_where:='gid < 10'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt','gid < 10') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 0 NOTICE: Dead ends: 4 NOTICE: Potential gaps found near dead ends: 0 NOTICE: Intersections detected: 0 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q18.1 */ /* -- q19 */ SELECT pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt', rows_where:='mygeom && (SELECT st_buffer(mygeom,1) FROM mytable WHERE gid=5)'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt','mygeom && (SELECT st_buffer(mygeom,1) FROM mytable WHERE gid=5)') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 1 NOTICE: Dead ends: 5 NOTICE: Potential gaps found near dead ends: 0 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q19.1 */ /* -- q20 */ SELECT pgr_analyzeGraph('mytable',0.001,source:='src',id:='gid',target:='tgt',the_geom:='mygeom', rows_where:='mygeom && (SELECT st_buffer(mygeom,1) FROM mytable WHERE gid=5)'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt','mygeom && (SELECT st_buffer(mygeom,1) FROM mytable WHERE gid=5)') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 1 NOTICE: Dead ends: 5 NOTICE: Potential gaps found near dead ends: 0 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q20.1 */ /* -- q21 */ DROP TABLE IF EXISTS otherTable; DROP TABLE CREATE TABLE otherTable AS (SELECT 'myhouse'::text AS place, st_point(2.5,2.5) AS other_geom) ; SELECT 1 SELECT pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt', rows_where:='mygeom && (SELECT st_buffer(other_geom,1) FROM otherTable WHERE place='||quote_literal('myhouse')||')'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt','mygeom && (SELECT st_buffer(other_geom,1) FROM otherTable WHERE place='myhouse')') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 2 NOTICE: Dead ends: 10 NOTICE: Potential gaps found near dead ends: 1 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q21.1 */ /* -- q22 */ SELECT pgr_analyzeGraph('mytable',0.001,source:='src',id:='gid',target:='tgt',the_geom:='mygeom', rows_where:='mygeom && (SELECT st_buffer(other_geom,1) FROM otherTable WHERE place='||quote_literal('myhouse')||')'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt','mygeom && (SELECT st_buffer(other_geom,1) FROM otherTable WHERE place='myhouse')') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 2 NOTICE: Dead ends: 10 NOTICE: Potential gaps found near dead ends: 1 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q22.1 */ /* -- q23 */ SELECT pgr_createTopology('edge_table',0.001, clean := true); NOTICE: PROCESSING: NOTICE: pgr_createTopology('edge_table', 0.001, 'the_geom', 'id', 'source', 'target', rows_where := 'true', clean := t) NOTICE: Performing checks, please wait ..... NOTICE: Creating Topology, Please wait... NOTICE: -------------> TOPOLOGY CREATED FOR 18 edges NOTICE: Rows with NULL geometry or NULL id: 0 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createtopology -------------------- OK (1 row) SELECT pgr_analyzeGraph('edge_table', 0.001); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','true') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 2 NOTICE: Dead ends: 7 NOTICE: Potential gaps found near dead ends: 1 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q23.1 */ /* -- q24 */ SELECT pgr_analyzeGraph('edge_table',0.001,rows_where:='id < 10'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','id < 10') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 0 NOTICE: Dead ends: 4 NOTICE: Potential gaps found near dead ends: 0 NOTICE: Intersections detected: 0 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q24.1 */ /* -- q25 */ SELECT pgr_analyzeGraph('edge_table',0.001,rows_where:='id >= 10'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','id >= 10') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 2 NOTICE: Dead ends: 8 NOTICE: Potential gaps found near dead ends: 1 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q25.1 */ /* -- q26 */ SELECT pgr_analyzeGraph('edge_table',0.001,rows_where:='id < 17'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','id < 17') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 0 NOTICE: Dead ends: 3 NOTICE: Potential gaps found near dead ends: 0 NOTICE: Intersections detected: 0 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q26.1 */ /* -- q27 */ SELECT pgr_createTopology('edge_table', 0.001,rows_where:='id <17', clean := true); NOTICE: PROCESSING: NOTICE: pgr_createTopology('edge_table', 0.001, 'the_geom', 'id', 'source', 'target', rows_where := 'id <17', clean := t) NOTICE: Performing checks, please wait ..... NOTICE: Creating Topology, Please wait... NOTICE: -------------> TOPOLOGY CREATED FOR 16 edges NOTICE: Rows with NULL geometry or NULL id: 0 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createtopology -------------------- OK (1 row) /* -- q27.1 */ /* -- q28 */ SELECT pgr_analyzeGraph('edge_table', 0.001); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','true') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 0 NOTICE: Dead ends: 3 NOTICE: Potential gaps found near dead ends: 0 NOTICE: Intersections detected: 0 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* -- q28.1 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/topology/doc-pgr_analyzeGraph.test.sql000066400000000000000000000102741414350551100253140ustar00rootroot00000000000000------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------ -- PGR_analyzegraph ------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------ /* -- q1 */ SELECT pgr_createTopology('edge_table',0.001, clean := true); SELECT pgr_analyzeGraph('edge_table',0.001); /* -- q1.1 */ /* -- q3 */ SELECT pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target'); /* -- q3.1 */ /* -- q5 */ SELECT pgr_analyzeGraph('edge_table',0.001,'id','the_geom','source','target'); /* -- q5.1 */ /* -- q6 */ SELECT pgr_analyzeGraph('edge_table',0.001,the_geom:='the_geom',id:='id',source:='source',target:='target'); /* -- q6.1 */ /* -- q7 */ SELECT pgr_analyzeGraph('edge_table',0.001,source:='source',id:='id',target:='target',the_geom:='the_geom'); /* -- q7.1 */ /* -- q8. */ SELECT pgr_analyzeGraph('edge_table',0.001,source:='source'); /* -- q8.1 */ /* -- q9 */ SELECT pgr_analyzeGraph('edge_table',0.001,rows_where:='id < 10'); /* -- q9.1 */ /* -- q10 */ SELECT pgr_analyzeGraph('edge_table',0.001,rows_where:='the_geom && (SELECT st_buffer(the_geom,0.05) FROM edge_table WHERE id=5)'); /* -- q10.1 */ /* -- q11 */ CREATE TABLE otherTable AS (SELECT 100 AS gid, st_point(2.5,2.5) AS other_geom) ; SELECT pgr_analyzeGraph('edge_table',0.001,rows_where:='the_geom && (SELECT st_buffer(other_geom,1) FROM otherTable WHERE gid=100)'); /* -- q11.1 */ /* -- q12 */ CREATE TABLE mytable AS (SELECT id AS gid, source AS src ,target AS tgt , the_geom AS mygeom FROM edge_table); SELECT pgr_createTopology('mytable',0.001,'mygeom','gid','src','tgt', clean := true); /* -- q12.1 */ /* -- q13 */ SELECT pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt'); /* -- q13.1 */ /* -- q14 */ SELECT pgr_analyzeGraph('mytable',0.0001,'gid','mygeom','src','tgt'); /* -- q14.1 */ /* -- q15 */ SELECT pgr_analyzeGraph('mytable',0.001,the_geom:='mygeom',id:='gid',source:='src',target:='tgt'); /* -- q15.1 */ /* -- q16 */ SELECT pgr_analyzeGraph('mytable',0.001,source:='src',id:='gid',target:='tgt',the_geom:='mygeom'); /* -- q16.1 */ /* -- q17 */ SELECT pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt',rows_where:='gid < 10'); /* -- q17.1 */ /* -- q18 */ SELECT pgr_analyzeGraph('mytable',0.001,source:='src',id:='gid',target:='tgt',the_geom:='mygeom',rows_where:='gid < 10'); /* -- q18.1 */ /* -- q19 */ SELECT pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt', rows_where:='mygeom && (SELECT st_buffer(mygeom,1) FROM mytable WHERE gid=5)'); /* -- q19.1 */ /* -- q20 */ SELECT pgr_analyzeGraph('mytable',0.001,source:='src',id:='gid',target:='tgt',the_geom:='mygeom', rows_where:='mygeom && (SELECT st_buffer(mygeom,1) FROM mytable WHERE gid=5)'); /* -- q20.1 */ /* -- q21 */ DROP TABLE IF EXISTS otherTable; CREATE TABLE otherTable AS (SELECT 'myhouse'::text AS place, st_point(2.5,2.5) AS other_geom) ; SELECT pgr_analyzeGraph('mytable',0.001,'mygeom','gid','src','tgt', rows_where:='mygeom && (SELECT st_buffer(other_geom,1) FROM otherTable WHERE place='||quote_literal('myhouse')||')'); /* -- q21.1 */ /* -- q22 */ SELECT pgr_analyzeGraph('mytable',0.001,source:='src',id:='gid',target:='tgt',the_geom:='mygeom', rows_where:='mygeom && (SELECT st_buffer(other_geom,1) FROM otherTable WHERE place='||quote_literal('myhouse')||')'); /* -- q22.1 */ -------------------- /* -- q23 */ SELECT pgr_createTopology('edge_table',0.001, clean := true); SELECT pgr_analyzeGraph('edge_table', 0.001); /* -- q23.1 */ /* -- q24 */ SELECT pgr_analyzeGraph('edge_table',0.001,rows_where:='id < 10'); /* -- q24.1 */ /* -- q25 */ SELECT pgr_analyzeGraph('edge_table',0.001,rows_where:='id >= 10'); /* -- q25.1 */ /* -- q26 */ SELECT pgr_analyzeGraph('edge_table',0.001,rows_where:='id < 17'); /* -- q26.1 */ -- Simulate removal of edges /* -- q27 */ SELECT pgr_createTopology('edge_table', 0.001,rows_where:='id <17', clean := true); /* -- q27.1 */ /* -- q28 */ SELECT pgr_analyzeGraph('edge_table', 0.001); /* -- q28.1 */ pgrouting-3.3.0/docqueries/topology/doc-pgr_analyzeOneWay.result000066400000000000000000000013121414350551100252070ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* --q1 */ SELECT pgr_analyzeOneWay('edge_table', ARRAY['', 'B', 'TF'], ARRAY['', 'B', 'FT'], ARRAY['', 'B', 'FT'], ARRAY['', 'B', 'TF'], oneway:='dir'); NOTICE: PROCESSING: NOTICE: pgr_analyzeOneway('edge_table','{"",B,TF}','{"",B,FT}','{"",B,FT}','{"",B,TF}','dir','source','target',t) NOTICE: Analyzing graph for one way street errors. NOTICE: Analysis 25% complete ... NOTICE: Analysis 50% complete ... NOTICE: Analysis 75% complete ... NOTICE: Analysis 100% complete ... NOTICE: Found 0 potential problems in directionality pgr_analyzeoneway ------------------- OK (1 row) /* --q1.1 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/topology/doc-pgr_analyzeOneWay.test.sql000066400000000000000000000003201414350551100254440ustar00rootroot00000000000000/* --q1 */ SELECT pgr_analyzeOneWay('edge_table', ARRAY['', 'B', 'TF'], ARRAY['', 'B', 'FT'], ARRAY['', 'B', 'FT'], ARRAY['', 'B', 'TF'], oneway:='dir'); /* --q1.1 */ pgrouting-3.3.0/docqueries/topology/doc-pgr_createTopology.result000066400000000000000000000173241414350551100254330ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET DROP TABLE edge_table_vertices_pgr; DROP TABLE UPDATE edge_table SET source = NULL, target = NULL; UPDATE 18 /* --q1 */ SELECT pgr_createTopology('edge_table', 0.001); NOTICE: PROCESSING: NOTICE: pgr_createTopology('edge_table', 0.001, 'the_geom', 'id', 'source', 'target', rows_where := 'true', clean := f) NOTICE: Performing checks, please wait ..... NOTICE: Creating Topology, Please wait... NOTICE: -------------> TOPOLOGY CREATED FOR 18 edges NOTICE: Rows with NULL geometry or NULL id: 0 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createtopology -------------------- OK (1 row) /* --q1.1 */ DROP TABLE edge_table_vertices_pgr; DROP TABLE UPDATE edge_table SET source = NULL, target = NULL; UPDATE 18 /* --q2 */ SELECT pgr_createTopology('edge_table', 0.001, 'the_geom', 'id', 'source', 'target'); NOTICE: PROCESSING: NOTICE: pgr_createTopology('edge_table', 0.001, 'the_geom', 'id', 'source', 'target', rows_where := 'true', clean := f) NOTICE: Performing checks, please wait ..... NOTICE: Creating Topology, Please wait... NOTICE: -------------> TOPOLOGY CREATED FOR 18 edges NOTICE: Rows with NULL geometry or NULL id: 0 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createtopology -------------------- OK (1 row) /* --q2.1 */ SET client_min_messages TO NOTICE; SET /* --q3 */ SELECT pgr_createTopology('edge_table', 0.001, 'id', 'the_geom'); NOTICE: PROCESSING: NOTICE: pgr_createTopology('edge_table', 0.001, 'id', 'the_geom', 'source', 'target', rows_where := 'true', clean := f) NOTICE: Performing checks, please wait ..... NOTICE: ----> PGR ERROR in pgr_createTopology: Wrong type of Column id:the_geom HINT: ----> Expected type of the_geom is integer,smallint or bigint but USER-DEFINED was found NOTICE: Unexpected error raise_exception pgr_createtopology -------------------- FAIL (1 row) /* --q3.1 */ SET client_min_messages TO WARNING; SET DROP TABLE edge_table_vertices_pgr; DROP TABLE UPDATE edge_table SET source = NULL, target = NULL; UPDATE 18 /* --q4 */ SELECT pgr_createTopology('edge_table', 0.001, the_geom:='the_geom', id:='id', source:='source', target:='target'); pgr_createtopology -------------------- OK (1 row) /* --q4.1 */ DROP TABLE edge_table_vertices_pgr; DROP TABLE UPDATE edge_table SET source = NULL, target = NULL; UPDATE 18 /* --q5 */ SELECT pgr_createTopology('edge_table', 0.001, source:='source', id:='id', target:='target', the_geom:='the_geom'); pgr_createtopology -------------------- OK (1 row) /* --q5.1 */ DROP TABLE edge_table_vertices_pgr; DROP TABLE UPDATE edge_table SET source = NULL, target = NULL; UPDATE 18 /* --q6 */ SELECT pgr_createTopology('edge_table', 0.001, source:='source'); pgr_createtopology -------------------- OK (1 row) /* --q6.1 */ /* --q7 */ SELECT pgr_createTopology('edge_table', 0.001, rows_where:='id < 10'); pgr_createtopology -------------------- OK (1 row) /* --q7.1 */ /* --q8 */ SELECT pgr_createTopology('edge_table', 0.001, rows_where:='the_geom && (SELECT st_buffer(the_geom, 0.05) FROM edge_table WHERE id=5)'); pgr_createtopology -------------------- OK (1 row) /* --q8.1 */ /* --q9 */ CREATE TABLE otherTable AS (SELECT 100 AS gid, st_point(2.5, 2.5) AS other_geom); SELECT 1 SELECT pgr_createTopology('edge_table', 0.001, rows_where:='the_geom && (SELECT st_buffer(other_geom, 1) FROM otherTable WHERE gid=100)'); pgr_createtopology -------------------- OK (1 row) /* --q9.1 */ /* --q10 */ CREATE TABLE mytable AS (SELECT id AS gid, the_geom AS mygeom, source AS src , target AS tgt FROM edge_table) ; SELECT 18 /* --q10.1 */ /* --q11 */ SELECT pgr_createTopology('mytable', 0.001, 'mygeom', 'gid', 'src', 'tgt', clean := TRUE); pgr_createtopology -------------------- OK (1 row) /* --q11.1 */ DROP TABLE mytable_vertices_pgr; DROP TABLE UPDATE mytable SET src = NULL, tgt = NULL; UPDATE 18 SET client_min_messages TO NOTICE; SET /* --q12 */ SELECT pgr_createTopology('mytable', 0.001, 'gid', 'mygeom', 'src', 'tgt'); NOTICE: PROCESSING: NOTICE: pgr_createTopology('mytable', 0.001, 'gid', 'mygeom', 'src', 'tgt', rows_where := 'true', clean := f) NOTICE: Performing checks, please wait ..... NOTICE: ----> PGR ERROR in pgr_createTopology: Wrong type of Column id:mygeom HINT: ----> Expected type of mygeom is integer,smallint or bigint but USER-DEFINED was found NOTICE: Unexpected error raise_exception pgr_createtopology -------------------- FAIL (1 row) /* --q12.1 */ SET client_min_messages TO WARNING; SET /* --q13 */ SELECT pgr_createTopology('mytable', 0.001, the_geom:='mygeom', id:='gid', source:='src', target:='tgt'); pgr_createtopology -------------------- OK (1 row) /* --q13.1 */ DROP TABLE mytable_vertices_pgr; DROP TABLE UPDATE mytable SET src = NULL, tgt = NULL; UPDATE 18 /* --q14 */ SELECT pgr_createTopology('mytable', 0.001, source:='src', id:='gid', target:='tgt', the_geom:='mygeom'); pgr_createtopology -------------------- OK (1 row) /* --q14.1 */ /* --q15 */ SELECT pgr_createTopology('mytable', 0.001, 'mygeom', 'gid', 'src', 'tgt', rows_where:='gid < 10'); pgr_createtopology -------------------- OK (1 row) SELECT pgr_createTopology('mytable', 0.001, source:='src', id:='gid', target:='tgt', the_geom:='mygeom', rows_where:='gid < 10'); pgr_createtopology -------------------- OK (1 row) SELECT pgr_createTopology('mytable', 0.001, 'mygeom', 'gid', 'src', 'tgt', rows_where:='mygeom && (SELECT st_buffer(mygeom, 1) FROM mytable WHERE gid=5)'); pgr_createtopology -------------------- OK (1 row) SELECT pgr_createTopology('mytable', 0.001, source:='src', id:='gid', target:='tgt', the_geom:='mygeom', rows_where:='mygeom && (SELECT st_buffer(mygeom, 1) FROM mytable WHERE gid=5)'); pgr_createtopology -------------------- OK (1 row) /* --q15.1 */ /* --q16 */ SELECT pgr_createTopology('mytable', 0.001, 'mygeom', 'gid', 'src', 'tgt', rows_where:='mygeom && (SELECT st_buffer(other_geom, 1) FROM otherTable WHERE gid=100)'); pgr_createtopology -------------------- OK (1 row) SELECT pgr_createTopology('mytable', 0.001, source:='src', id:='gid', target:='tgt', the_geom:='mygeom', rows_where:='mygeom && (SELECT st_buffer(other_geom, 1) FROM otherTable WHERE gid=100)'); pgr_createtopology -------------------- OK (1 row) /* --q16.1 */ SET client_min_messages TO NOTICE; SET /* --q17 */ SELECT pgr_createTopology('edge_table', 0.001, rows_where:='id < 6', clean := true); NOTICE: PROCESSING: NOTICE: pgr_createTopology('edge_table', 0.001, 'the_geom', 'id', 'source', 'target', rows_where := 'id < 6', clean := t) NOTICE: Performing checks, please wait ..... NOTICE: Creating Topology, Please wait... NOTICE: -------------> TOPOLOGY CREATED FOR 5 edges NOTICE: Rows with NULL geometry or NULL id: 0 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createtopology -------------------- OK (1 row) SELECT pgr_createTopology('edge_table', 0.001); NOTICE: PROCESSING: NOTICE: pgr_createTopology('edge_table', 0.001, 'the_geom', 'id', 'source', 'target', rows_where := 'true', clean := f) NOTICE: Performing checks, please wait ..... NOTICE: Creating Topology, Please wait... NOTICE: -------------> TOPOLOGY CREATED FOR 13 edges NOTICE: Rows with NULL geometry or NULL id: 0 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createtopology -------------------- OK (1 row) /* --q17.1 */ SET client_min_messages TO NOTICE; SET ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/topology/doc-pgr_createTopology.test.sql000066400000000000000000000107141414350551100256660ustar00rootroot00000000000000------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------ -- pgr_createTopology ------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------ DROP TABLE edge_table_vertices_pgr; UPDATE edge_table SET source = NULL, target = NULL; /* --q1 */ SELECT pgr_createTopology('edge_table', 0.001); /* --q1.1 */ DROP TABLE edge_table_vertices_pgr; UPDATE edge_table SET source = NULL, target = NULL; /* --q2 */ SELECT pgr_createTopology('edge_table', 0.001, 'the_geom', 'id', 'source', 'target'); /* --q2.1 */ SET client_min_messages TO NOTICE; /* --q3 */ SELECT pgr_createTopology('edge_table', 0.001, 'id', 'the_geom'); /* --q3.1 */ SET client_min_messages TO WARNING; DROP TABLE edge_table_vertices_pgr; UPDATE edge_table SET source = NULL, target = NULL; /* --q4 */ SELECT pgr_createTopology('edge_table', 0.001, the_geom:='the_geom', id:='id', source:='source', target:='target'); /* --q4.1 */ DROP TABLE edge_table_vertices_pgr; UPDATE edge_table SET source = NULL, target = NULL; /* --q5 */ SELECT pgr_createTopology('edge_table', 0.001, source:='source', id:='id', target:='target', the_geom:='the_geom'); /* --q5.1 */ DROP TABLE edge_table_vertices_pgr; UPDATE edge_table SET source = NULL, target = NULL; /* --q6 */ SELECT pgr_createTopology('edge_table', 0.001, source:='source'); /* --q6.1 */ /* --q7 */ SELECT pgr_createTopology('edge_table', 0.001, rows_where:='id < 10'); /* --q7.1 */ /* --q8 */ SELECT pgr_createTopology('edge_table', 0.001, rows_where:='the_geom && (SELECT st_buffer(the_geom, 0.05) FROM edge_table WHERE id=5)'); /* --q8.1 */ /* --q9 */ CREATE TABLE otherTable AS (SELECT 100 AS gid, st_point(2.5, 2.5) AS other_geom); SELECT pgr_createTopology('edge_table', 0.001, rows_where:='the_geom && (SELECT st_buffer(other_geom, 1) FROM otherTable WHERE gid=100)'); /* --q9.1 */ -- THE NEXT SECTION /* --q10 */ CREATE TABLE mytable AS (SELECT id AS gid, the_geom AS mygeom, source AS src , target AS tgt FROM edge_table) ; /* --q10.1 */ /* --q11 */ SELECT pgr_createTopology('mytable', 0.001, 'mygeom', 'gid', 'src', 'tgt', clean := TRUE); /* --q11.1 */ DROP TABLE mytable_vertices_pgr; UPDATE mytable SET src = NULL, tgt = NULL; SET client_min_messages TO NOTICE; /* --q12 */ SELECT pgr_createTopology('mytable', 0.001, 'gid', 'mygeom', 'src', 'tgt'); /* --q12.1 */ SET client_min_messages TO WARNING; /* --q13 */ SELECT pgr_createTopology('mytable', 0.001, the_geom:='mygeom', id:='gid', source:='src', target:='tgt'); /* --q13.1 */ DROP TABLE mytable_vertices_pgr; UPDATE mytable SET src = NULL, tgt = NULL; /* --q14 */ SELECT pgr_createTopology('mytable', 0.001, source:='src', id:='gid', target:='tgt', the_geom:='mygeom'); /* --q14.1 */ /* --q15 */ SELECT pgr_createTopology('mytable', 0.001, 'mygeom', 'gid', 'src', 'tgt', rows_where:='gid < 10'); SELECT pgr_createTopology('mytable', 0.001, source:='src', id:='gid', target:='tgt', the_geom:='mygeom', rows_where:='gid < 10'); SELECT pgr_createTopology('mytable', 0.001, 'mygeom', 'gid', 'src', 'tgt', rows_where:='mygeom && (SELECT st_buffer(mygeom, 1) FROM mytable WHERE gid=5)'); SELECT pgr_createTopology('mytable', 0.001, source:='src', id:='gid', target:='tgt', the_geom:='mygeom', rows_where:='mygeom && (SELECT st_buffer(mygeom, 1) FROM mytable WHERE gid=5)'); /* --q15.1 */ /* --q16 */ SELECT pgr_createTopology('mytable', 0.001, 'mygeom', 'gid', 'src', 'tgt', rows_where:='mygeom && (SELECT st_buffer(other_geom, 1) FROM otherTable WHERE gid=100)'); SELECT pgr_createTopology('mytable', 0.001, source:='src', id:='gid', target:='tgt', the_geom:='mygeom', rows_where:='mygeom && (SELECT st_buffer(other_geom, 1) FROM otherTable WHERE gid=100)'); /* --q16.1 */ ------------------------------------------------------------------------------- SET client_min_messages TO NOTICE; /* --q17 */ SELECT pgr_createTopology('edge_table', 0.001, rows_where:='id < 6', clean := true); SELECT pgr_createTopology('edge_table', 0.001); /* --q17.1 */ SET client_min_messages TO NOTICE; pgrouting-3.3.0/docqueries/topology/doc-pgr_createVerticesTable.result000066400000000000000000000351111414350551100263450ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* --q1 */ SELECT pgr_createVerticesTable('edge_table'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) /* --q1.1 */ /* --q2 */ SELECT pgr_createVerticesTable('edge_table', 'the_geom', 'source', 'target'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) /* --q2.1 */ SELECT pgr_createVerticesTable('edge_table', 'source', 'the_geom', 'target'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','source','the_geom','target','true') NOTICE: Performing checks, please wait ..... NOTICE: ----> PGR ERROR in pgr_createVerticesTable: Wrong type of Column source: the_geom HINT: ----> Expected type of the_geom is integer, smallint or bigint but USER-DEFINED was found NOTICE: Unexpected error raise_exception pgr_createverticestable ------------------------- FAIL (1 row) /* --q2.2 */ /* --q3.1 */ SELECT pgr_createVerticesTable('edge_table', the_geom:='the_geom', source:='source', target:='target'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) /* --q3.2 */ /* --q4 */ SELECT pgr_createVerticesTable('edge_table', source:='source', target:='target', the_geom:='the_geom'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) /* --q4.1 */ /* --q5 */ SELECT pgr_createVerticesTable('edge_table',source:='source'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) /* --q5.1 */ /* --q6 */ SELECT pgr_createVerticesTable('edge_table',rows_where:='id < 10'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','id < 10') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 9 VERTICES NOTICE: FOR 10 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 10 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) /* --q6.1 */ /* --q7 */ SELECT pgr_createVerticesTable('edge_table', rows_where:='the_geom && (select st_buffer(the_geom,0.5) FROM edge_table WHERE id=5)'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','the_geom && (select st_buffer(the_geom,0.5) FROM edge_table WHERE id=5)') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 9 VERTICES NOTICE: FOR 9 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 9 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) /* --q7.1 */ /* --q8 */ DROP TABLE IF EXISTS otherTable; NOTICE: table "othertable" does not exist, skipping DROP TABLE CREATE TABLE otherTable AS (SELECT 100 AS gid, st_point(2.5,2.5) AS other_geom) ; SELECT 1 SELECT pgr_createVerticesTable('edge_table', rows_where:='the_geom && (select st_buffer(other_geom,0.5) FROM otherTable WHERE gid=100)'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('edge_table','the_geom','source','target','the_geom && (select st_buffer(other_geom,0.5) FROM otherTable WHERE gid=100)') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.edge_table_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 10 VERTICES NOTICE: FOR 12 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 12 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) /* --q8.1 */ /* --tab1 */ DROP TABLE IF EXISTS mytable; NOTICE: table "mytable" does not exist, skipping DROP TABLE CREATE TABLE mytable AS (SELECT id AS gid, the_geom AS mygeom, source AS src ,target AS tgt FROM edge_table) ; SELECT 18 /* --tab2 */ /* --q9 */ SELECT pgr_createVerticesTable('mytable', 'mygeom', 'src', 'tgt'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.mytable_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.mytable is: public.mytable_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) /* --q9.1 */ SELECT pgr_createVerticesTable('mytable', 'src', 'mygeom', 'tgt'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','src','mygeom','tgt','true') NOTICE: Performing checks, please wait ..... NOTICE: ----> PGR ERROR in pgr_createVerticesTable: Wrong type of Column source: mygeom HINT: ----> Expected type of mygeom is integer, smallint or bigint but USER-DEFINED was found NOTICE: Unexpected error raise_exception pgr_createverticestable ------------------------- FAIL (1 row) /* --q9.2 */ /* --q10 */ SELECT pgr_createVerticesTable('mytable',the_geom:='mygeom',source:='src',target:='tgt'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.mytable_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.mytable is: public.mytable_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) /* --q10.1 */ /* --q11 */ SELECT pgr_createVerticesTable( 'mytable', source:='src', target:='tgt', the_geom:='mygeom'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','true') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.mytable_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 17 VERTICES NOTICE: FOR 18 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 18 NOTICE: Vertices table for table public.mytable is: public.mytable_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) /* --q11.1 */ /* --q12 */ SELECT pgr_createVerticesTable( 'mytable', 'mygeom', 'src', 'tgt', rows_where:='gid < 10'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','gid < 10') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.mytable_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 9 VERTICES NOTICE: FOR 10 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 10 NOTICE: Vertices table for table public.mytable is: public.mytable_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) /* --q12.1 */ /* --q13 */ SELECT pgr_createVerticesTable( 'mytable', source:='src', target:='tgt', the_geom:='mygeom', rows_where:='gid < 10'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','gid < 10') NOTICE: Performing checks, please wait ..... NOTICE: Populating public.mytable_vertices_pgr, please wait... NOTICE: -----> VERTICES TABLE CREATED WITH 9 VERTICES NOTICE: FOR 10 EDGES NOTICE: Edges with NULL geometry,source or target: 0 NOTICE: Edges processed: 10 NOTICE: Vertices table for table public.mytable is: public.mytable_vertices_pgr NOTICE: ---------------------------------------------- pgr_createverticestable ------------------------- OK (1 row) /* --q13.1 */ /* --q14 */ SELECT pgr_createVerticesTable( 'mytable', 'mygeom', 'src', 'tgt', rows_where := 'the_geom && (SELECT st_buffer(mygeom,0.5) FROM mytable WHERE gid=5)'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','the_geom && (SELECT st_buffer(mygeom,0.5) FROM mytable WHERE gid=5)') NOTICE: Performing checks, please wait ..... NOTICE: Got column "the_geom" does not exist NOTICE: ERROR: Condition is not correct, please execute the following query to test your condition NOTICE: select * from public.mytable WHERE true AND (the_geom && (SELECT st_buffer(mygeom,0.5) FROM mytable WHERE gid=5)) limit 1 pgr_createverticestable ------------------------- FAIL (1 row) /* --q14.1 */ /* --q15 */ SELECT pgr_createVerticesTable( 'mytable', source:='src', target:='tgt', the_geom:='mygeom', rows_where:='mygeom && (SELECT st_buffer(mygeom,0.5) FROM mytable WHERE id=5)'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','mygeom && (SELECT st_buffer(mygeom,0.5) FROM mytable WHERE id=5)') NOTICE: Performing checks, please wait ..... NOTICE: Got column "id" does not exist NOTICE: ERROR: Condition is not correct, please execute the following query to test your condition NOTICE: select * from public.mytable WHERE true AND (mygeom && (SELECT st_buffer(mygeom,0.5) FROM mytable WHERE id=5)) limit 1 pgr_createverticestable ------------------------- FAIL (1 row) /* --q15.1 */ /* --q16 */ DROP TABLE IF EXISTS otherTable; DROP TABLE CREATE TABLE otherTable AS (SELECT 100 AS gid, st_point(2.5,2.5) AS other_geom) ; SELECT 1 /* --q16.1 */ SELECT pgr_createVerticesTable( 'mytable', 'mygeom', 'src', 'tgt', rows_where:='the_geom && (SELECT st_buffer(othergeom,0.5) FROM otherTable WHERE gid=100)'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','the_geom && (SELECT st_buffer(othergeom,0.5) FROM otherTable WHERE gid=100)') NOTICE: Performing checks, please wait ..... NOTICE: Got column "the_geom" does not exist NOTICE: ERROR: Condition is not correct, please execute the following query to test your condition NOTICE: select * from public.mytable WHERE true AND (the_geom && (SELECT st_buffer(othergeom,0.5) FROM otherTable WHERE gid=100)) limit 1 pgr_createverticestable ------------------------- FAIL (1 row) /* --q16.2 */ /* --q17 */ SELECT pgr_createVerticesTable( 'mytable',source:='src',target:='tgt',the_geom:='mygeom', rows_where:='the_geom && (SELECT st_buffer(othergeom,0.5) FROM otherTable WHERE gid=100)'); NOTICE: PROCESSING: NOTICE: pgr_createVerticesTable('mytable','mygeom','src','tgt','the_geom && (SELECT st_buffer(othergeom,0.5) FROM otherTable WHERE gid=100)') NOTICE: Performing checks, please wait ..... NOTICE: Got column "the_geom" does not exist NOTICE: ERROR: Condition is not correct, please execute the following query to test your condition NOTICE: select * from public.mytable WHERE true AND (the_geom && (SELECT st_buffer(othergeom,0.5) FROM otherTable WHERE gid=100)) limit 1 pgr_createverticestable ------------------------- FAIL (1 row) /* --q17.1 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/topology/doc-pgr_createVerticesTable.test.sql000066400000000000000000000056361414350551100266150ustar00rootroot00000000000000 /* --q1 */ SELECT pgr_createVerticesTable('edge_table'); /* --q1.1 */ /* --q2 */ SELECT pgr_createVerticesTable('edge_table', 'the_geom', 'source', 'target'); /* --q2.1 */ SELECT pgr_createVerticesTable('edge_table', 'source', 'the_geom', 'target'); /* --q2.2 */ /* --q3.1 */ SELECT pgr_createVerticesTable('edge_table', the_geom:='the_geom', source:='source', target:='target'); /* --q3.2 */ /* --q4 */ SELECT pgr_createVerticesTable('edge_table', source:='source', target:='target', the_geom:='the_geom'); /* --q4.1 */ /* --q5 */ SELECT pgr_createVerticesTable('edge_table',source:='source'); /* --q5.1 */ /* --q6 */ SELECT pgr_createVerticesTable('edge_table',rows_where:='id < 10'); /* --q6.1 */ /* --q7 */ SELECT pgr_createVerticesTable('edge_table', rows_where:='the_geom && (select st_buffer(the_geom,0.5) FROM edge_table WHERE id=5)'); /* --q7.1 */ /* --q8 */ DROP TABLE IF EXISTS otherTable; CREATE TABLE otherTable AS (SELECT 100 AS gid, st_point(2.5,2.5) AS other_geom) ; SELECT pgr_createVerticesTable('edge_table', rows_where:='the_geom && (select st_buffer(other_geom,0.5) FROM otherTable WHERE gid=100)'); /* --q8.1 */ /* --tab1 */ DROP TABLE IF EXISTS mytable; CREATE TABLE mytable AS (SELECT id AS gid, the_geom AS mygeom, source AS src ,target AS tgt FROM edge_table) ; /* --tab2 */ /* --q9 */ SELECT pgr_createVerticesTable('mytable', 'mygeom', 'src', 'tgt'); /* --q9.1 */ SELECT pgr_createVerticesTable('mytable', 'src', 'mygeom', 'tgt'); /* --q9.2 */ /* --q10 */ SELECT pgr_createVerticesTable('mytable',the_geom:='mygeom',source:='src',target:='tgt'); /* --q10.1 */ /* --q11 */ SELECT pgr_createVerticesTable( 'mytable', source:='src', target:='tgt', the_geom:='mygeom'); /* --q11.1 */ /* --q12 */ SELECT pgr_createVerticesTable( 'mytable', 'mygeom', 'src', 'tgt', rows_where:='gid < 10'); /* --q12.1 */ /* --q13 */ SELECT pgr_createVerticesTable( 'mytable', source:='src', target:='tgt', the_geom:='mygeom', rows_where:='gid < 10'); /* --q13.1 */ /* --q14 */ SELECT pgr_createVerticesTable( 'mytable', 'mygeom', 'src', 'tgt', rows_where := 'the_geom && (SELECT st_buffer(mygeom,0.5) FROM mytable WHERE gid=5)'); /* --q14.1 */ /* --q15 */ SELECT pgr_createVerticesTable( 'mytable', source:='src', target:='tgt', the_geom:='mygeom', rows_where:='mygeom && (SELECT st_buffer(mygeom,0.5) FROM mytable WHERE id=5)'); /* --q15.1 */ /* --q16 */ DROP TABLE IF EXISTS otherTable; CREATE TABLE otherTable AS (SELECT 100 AS gid, st_point(2.5,2.5) AS other_geom) ; /* --q16.1 */ SELECT pgr_createVerticesTable( 'mytable', 'mygeom', 'src', 'tgt', rows_where:='the_geom && (SELECT st_buffer(othergeom,0.5) FROM otherTable WHERE gid=100)'); /* --q16.2 */ /* --q17 */ SELECT pgr_createVerticesTable( 'mytable',source:='src',target:='tgt',the_geom:='mygeom', rows_where:='the_geom && (SELECT st_buffer(othergeom,0.5) FROM otherTable WHERE gid=100)'); /* --q17.1 */ pgrouting-3.3.0/docqueries/topology/doc-pgr_extractVertices.result000066400000000000000000000157661414350551100256220ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* --q1 */ SELECT * FROM pgr_extractVertices( 'SELECT id, the_geom AS geom FROM edge_table'); id | in_edges | out_edges | x | y | geom ----+----------+-----------+----------------+-----+-------------------------------------------- 1 | | {6} | 0 | 2 | 010100000000000000000000000000000000000040 2 | | {17} | 0.5 | 3.5 | 0101000000000000000000E03F0000000000000C40 3 | {6} | {7} | 1 | 2 | 0101000000000000000000F03F0000000000000040 4 | {17} | | 1.999999999999 | 3.5 | 010100000068EEFFFFFFFFFF3F0000000000000C40 5 | | {1} | 2 | 0 | 010100000000000000000000400000000000000000 6 | {1} | {2,4} | 2 | 1 | 01010000000000000000000040000000000000F03F 7 | {4,7} | {8,10} | 2 | 2 | 010100000000000000000000400000000000000040 8 | {10} | {12,14} | 2 | 3 | 010100000000000000000000400000000000000840 9 | {14} | | 2 | 4 | 010100000000000000000000400000000000001040 10 | {2} | {3,5} | 3 | 1 | 01010000000000000000000840000000000000F03F 11 | {5,8} | {9,11} | 3 | 2 | 010100000000000000000008400000000000000040 12 | {11,12} | {13} | 3 | 3 | 010100000000000000000008400000000000000840 13 | | {18} | 3.5 | 2.3 | 01010000000000000000000C406666666666660240 14 | {18} | | 3.5 | 4 | 01010000000000000000000C400000000000001040 15 | {3} | {16} | 4 | 1 | 01010000000000000000001040000000000000F03F 16 | {9,16} | {15} | 4 | 2 | 010100000000000000000010400000000000000040 17 | {13,15} | | 4 | 3 | 010100000000000000000010400000000000000840 (17 rows) /* --q1.1 */ /* --q2 */ SELECT * FROM pgr_extractVertices( 'SELECT id, the_geom AS geom FROM edge_table', dryrun := true); NOTICE: WITH main_sql AS ( SELECT id, the_geom AS geom FROM edge_table ), the_out AS ( SELECT id::BIGINT AS out_edge, ST_StartPoint(geom) AS geom FROM main_sql ), agg_out AS ( SELECT array_agg(out_edge ORDER BY out_edge) AS out_edges, ST_x(geom) AS x, ST_Y(geom) AS y, geom FROM the_out GROUP BY geom ), the_in AS ( SELECT id::BIGINT AS in_edge, ST_EndPoint(geom) AS geom FROM main_sql ), agg_in AS ( SELECT array_agg(in_edge ORDER BY in_edge) AS in_edges, ST_x(geom) AS x, ST_Y(geom) AS y, geom FROM the_in GROUP BY geom ), the_points AS ( SELECT in_edges, out_edges, coalesce(agg_out.geom, agg_in.geom) AS geom FROM agg_out FULL OUTER JOIN agg_in USING (x, y) ) SELECT row_number() over(ORDER BY ST_X(geom), ST_Y(geom)) AS id, in_edges, out_edges, ST_X(geom), ST_Y(geom), geom FROM the_points; id | in_edges | out_edges | x | y | geom ----+----------+-----------+---+---+------ (0 rows) /* --q2.1 */ /* --q3 */ DROP TABLE IF EXISTS vertices_table; NOTICE: table "vertices_table" does not exist, skipping DROP TABLE /* --q3.1 */ UPDATE edge_table SET source = NULL, target = NULL, x1 = NULL, y1 = NULL, x2 = NULL, y2 = NULL; UPDATE 18 /* --q3.2 */ SELECT * INTO vertices_table FROM pgr_extractVertices('SELECT id, the_geom AS geom FROM edge_table'); SELECT 17 /* --q3.3 */ SELECT * FROM vertices_table; id | in_edges | out_edges | x | y | geom ----+----------+-----------+----------------+-----+-------------------------------------------- 1 | | {6} | 0 | 2 | 010100000000000000000000000000000000000040 2 | | {17} | 0.5 | 3.5 | 0101000000000000000000E03F0000000000000C40 3 | {6} | {7} | 1 | 2 | 0101000000000000000000F03F0000000000000040 4 | {17} | | 1.999999999999 | 3.5 | 010100000068EEFFFFFFFFFF3F0000000000000C40 5 | | {1} | 2 | 0 | 010100000000000000000000400000000000000000 6 | {1} | {2,4} | 2 | 1 | 01010000000000000000000040000000000000F03F 7 | {4,7} | {8,10} | 2 | 2 | 010100000000000000000000400000000000000040 8 | {10} | {12,14} | 2 | 3 | 010100000000000000000000400000000000000840 9 | {14} | | 2 | 4 | 010100000000000000000000400000000000001040 10 | {2} | {3,5} | 3 | 1 | 01010000000000000000000840000000000000F03F 11 | {5,8} | {9,11} | 3 | 2 | 010100000000000000000008400000000000000040 12 | {11,12} | {13} | 3 | 3 | 010100000000000000000008400000000000000840 13 | | {18} | 3.5 | 2.3 | 01010000000000000000000C406666666666660240 14 | {18} | | 3.5 | 4 | 01010000000000000000000C400000000000001040 15 | {3} | {16} | 4 | 1 | 01010000000000000000001040000000000000F03F 16 | {9,16} | {15} | 4 | 2 | 010100000000000000000010400000000000000040 17 | {13,15} | | 4 | 3 | 010100000000000000000010400000000000000840 (17 rows) /* --q3.4 */ WITH out_going AS ( SELECT id AS vid, unnest(out_edges) AS eid, x, y FROM vertices_table ) UPDATE edge_table SET source = vid, x1 = x, y1 = y FROM out_going WHERE id = eid; UPDATE 18 /* --q3.5 */ WITH in_coming AS ( SELECT id AS vid, unnest(in_edges) AS eid, x, y FROM vertices_table ) UPDATE edge_table SET target = vid, x2 = x, y2 = y FROM in_coming WHERE id = eid; UPDATE 18 /* --q3.6 */ SELECT id, source, target, x1, y1, x2, y2 FROM edge_table; id | source | target | x1 | y1 | x2 | y2 ----+--------+--------+-----+-----+----------------+----- 6 | 1 | 3 | 0 | 2 | 1 | 2 17 | 2 | 4 | 0.5 | 3.5 | 1.999999999999 | 3.5 1 | 5 | 6 | 2 | 0 | 2 | 1 4 | 6 | 7 | 2 | 1 | 2 | 2 7 | 3 | 7 | 1 | 2 | 2 | 2 10 | 7 | 8 | 2 | 2 | 2 | 3 14 | 8 | 9 | 2 | 3 | 2 | 4 2 | 6 | 10 | 2 | 1 | 3 | 1 5 | 10 | 11 | 3 | 1 | 3 | 2 8 | 7 | 11 | 2 | 2 | 3 | 2 11 | 11 | 12 | 3 | 2 | 3 | 3 12 | 8 | 12 | 2 | 3 | 3 | 3 18 | 13 | 14 | 3.5 | 2.3 | 3.5 | 4 3 | 10 | 15 | 3 | 1 | 4 | 1 9 | 11 | 16 | 3 | 2 | 4 | 2 16 | 15 | 16 | 4 | 1 | 4 | 2 13 | 12 | 17 | 3 | 3 | 4 | 3 15 | 16 | 17 | 4 | 2 | 4 | 3 (18 rows) /* --q3.7 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/topology/doc-pgr_extractVertices.test.sql000066400000000000000000000020731414350551100260440ustar00rootroot00000000000000/* --q1 */ SELECT * FROM pgr_extractVertices( 'SELECT id, the_geom AS geom FROM edge_table'); /* --q1.1 */ /* --q2 */ SELECT * FROM pgr_extractVertices( 'SELECT id, the_geom AS geom FROM edge_table', dryrun := true); /* --q2.1 */ /* --q3 */ DROP TABLE IF EXISTS vertices_table; /* --q3.1 */ UPDATE edge_table SET source = NULL, target = NULL, x1 = NULL, y1 = NULL, x2 = NULL, y2 = NULL; /* --q3.2 */ SELECT * INTO vertices_table FROM pgr_extractVertices('SELECT id, the_geom AS geom FROM edge_table'); /* --q3.3 */ SELECT * FROM vertices_table; /* --q3.4 */ WITH out_going AS ( SELECT id AS vid, unnest(out_edges) AS eid, x, y FROM vertices_table ) UPDATE edge_table SET source = vid, x1 = x, y1 = y FROM out_going WHERE id = eid; /* --q3.5 */ WITH in_coming AS ( SELECT id AS vid, unnest(in_edges) AS eid, x, y FROM vertices_table ) UPDATE edge_table SET target = vid, x2 = x, y2 = y FROM in_coming WHERE id = eid; /* --q3.6 */ SELECT id, source, target, x1, y1, x2, y2 FROM edge_table; /* --q3.7 */ pgrouting-3.3.0/docqueries/topology/doc-pgr_nodeNetwork.result000066400000000000000000000176121414350551100247320ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* --q1 */ SELECT pgr_createTopology('edge_table', 0.001, clean := TRUE); NOTICE: PROCESSING: NOTICE: pgr_createTopology('edge_table', 0.001, 'the_geom', 'id', 'source', 'target', rows_where := 'true', clean := t) NOTICE: Performing checks, please wait ..... NOTICE: Creating Topology, Please wait... NOTICE: -------------> TOPOLOGY CREATED FOR 18 edges NOTICE: Rows with NULL geometry or NULL id: 0 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createtopology -------------------- OK (1 row) /* --q1.1 */ /* --q2 */ SELECT pgr_analyzegraph('edge_table', 0.001); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','true') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 2 NOTICE: Dead ends: 7 NOTICE: Potential gaps found near dead ends: 1 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* --q2.1 */ /* --q3 */ SELECT pgr_nodeNetwork('edge_table', 0.001); NOTICE: PROCESSING: NOTICE: id: id NOTICE: the_geom: the_geom NOTICE: table_ending: noded NOTICE: rows_where: NOTICE: outall: f NOTICE: pgr_nodeNetwork('edge_table', 0.001, 'id', 'the_geom', 'noded', '', f) NOTICE: Performing checks, please wait ..... NOTICE: Processing, please wait ..... NOTICE: Split Edges: 3 NOTICE: Untouched Edges: 15 NOTICE: Total original Edges: 18 NOTICE: Edges generated: 6 NOTICE: Untouched Edges: 15 NOTICE: Total New segments: 21 NOTICE: New Table: public.edge_table_noded NOTICE: ---------------------------------- pgr_nodenetwork ----------------- OK (1 row) /* --q3.1 */ /* --q4 */ SELECT old_id, sub_id FROM edge_table_noded ORDER BY old_id, sub_id; old_id | sub_id --------+-------- 1 | 1 2 | 1 3 | 1 4 | 1 5 | 1 6 | 1 7 | 1 8 | 1 9 | 1 10 | 1 11 | 1 12 | 1 13 | 1 13 | 2 14 | 1 14 | 2 15 | 1 16 | 1 17 | 1 18 | 1 18 | 2 (21 rows) /* --q4.1 */ /* --q5 */ SELECT pgr_createTopology('edge_table_noded', 0.001); NOTICE: PROCESSING: NOTICE: pgr_createTopology('edge_table_noded', 0.001, 'the_geom', 'id', 'source', 'target', rows_where := 'true', clean := f) NOTICE: Performing checks, please wait ..... NOTICE: Creating Topology, Please wait... NOTICE: -------------> TOPOLOGY CREATED FOR 21 edges NOTICE: Rows with NULL geometry or NULL id: 0 NOTICE: Vertices table for table public.edge_table_noded is: public.edge_table_noded_vertices_pgr NOTICE: ---------------------------------------------- pgr_createtopology -------------------- OK (1 row) /* --q5.1 */ /* --q6 */ SELECT pgr_analyzegraph('edge_table_noded', 0.001); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table_noded',0.001,'the_geom','id','source','target','true') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 0 NOTICE: Dead ends: 6 NOTICE: Potential gaps found near dead ends: 0 NOTICE: Intersections detected: 0 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* --q6.1 */ /* --q7 */ alter table edge_table drop column if exists old_id; NOTICE: column "old_id" of relation "edge_table" does not exist, skipping ALTER TABLE alter table edge_table add column old_id integer; ALTER TABLE insert into edge_table (old_id, dir, cost, reverse_cost, the_geom) (with segmented as (select old_id,count(*) as i from edge_table_noded group by old_id) select segments.old_id, dir, cost, reverse_cost, segments.the_geom from edge_table as edges join edge_table_noded as segments on (edges.id = segments.old_id) where edges.id in (select old_id from segmented where i>1) ); INSERT 0 6 /* --q7.1 */ /* --q8 */ SELECT pgr_createTopology('edge_table', 0.001); NOTICE: PROCESSING: NOTICE: pgr_createTopology('edge_table', 0.001, 'the_geom', 'id', 'source', 'target', rows_where := 'true', clean := f) NOTICE: Performing checks, please wait ..... NOTICE: Creating Topology, Please wait... NOTICE: -------------> TOPOLOGY CREATED FOR 6 edges NOTICE: Rows with NULL geometry or NULL id: 0 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createtopology -------------------- OK (1 row) /* --q8.1 */ /* --q9 */ SELECT pgr_analyzegraph('edge_table', 0.001, rows_where:='id not in (select old_id from edge_table where old_id is not null)'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','id not in (select old_id from edge_table where old_id is not null)') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 0 NOTICE: Dead ends: 6 NOTICE: Potential gaps found near dead ends: 0 NOTICE: Intersections detected: 0 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* --q9.1 */ /* --q10 */ SELECT pgr_analyzegraph('edge_table', 0.001, rows_where:='old_id is null'); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','old_id is null') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 2 NOTICE: Dead ends: 7 NOTICE: Potential gaps found near dead ends: 1 NOTICE: Intersections detected: 1 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* --q10.1 */ /* --q11 */ SELECT pgr_analyzegraph('edge_table', 0.001); NOTICE: PROCESSING: NOTICE: pgr_analyzeGraph('edge_table',0.001,'the_geom','id','source','target','true') NOTICE: Performing checks, please wait ... NOTICE: Analyzing for dead ends. Please wait... NOTICE: Analyzing for gaps. Please wait... NOTICE: Analyzing for isolated edges. Please wait... NOTICE: Analyzing for ring geometries. Please wait... NOTICE: Analyzing for intersections. Please wait... NOTICE: ANALYSIS RESULTS FOR SELECTED EDGES: NOTICE: Isolated segments: 0 NOTICE: Dead ends: 3 NOTICE: Potential gaps found near dead ends: 0 NOTICE: Intersections detected: 5 NOTICE: Ring geometries: 0 pgr_analyzegraph ------------------ OK (1 row) /* --q11.1 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/topology/doc-pgr_nodeNetwork.test.sql000066400000000000000000000027661414350551100251750ustar00rootroot00000000000000-- pgr_nodeNetwork -------------------------------------------------------------------------------- /* --q1 */ SELECT pgr_createTopology('edge_table', 0.001, clean := TRUE); /* --q1.1 */ /* --q2 */ SELECT pgr_analyzegraph('edge_table', 0.001); /* --q2.1 */ /* --q3 */ SELECT pgr_nodeNetwork('edge_table', 0.001); /* --q3.1 */ /* --q4 */ SELECT old_id, sub_id FROM edge_table_noded ORDER BY old_id, sub_id; /* --q4.1 */ /* --q5 */ SELECT pgr_createTopology('edge_table_noded', 0.001); /* --q5.1 */ /* --q6 */ SELECT pgr_analyzegraph('edge_table_noded', 0.001); /* --q6.1 */ /* --q7 */ alter table edge_table drop column if exists old_id; alter table edge_table add column old_id integer; insert into edge_table (old_id, dir, cost, reverse_cost, the_geom) (with segmented as (select old_id,count(*) as i from edge_table_noded group by old_id) select segments.old_id, dir, cost, reverse_cost, segments.the_geom from edge_table as edges join edge_table_noded as segments on (edges.id = segments.old_id) where edges.id in (select old_id from segmented where i>1) ); /* --q7.1 */ /* --q8 */ SELECT pgr_createTopology('edge_table', 0.001); /* --q8.1 */ /* --q9 */ SELECT pgr_analyzegraph('edge_table', 0.001, rows_where:='id not in (select old_id from edge_table where old_id is not null)'); /* --q9.1 */ /* --q10 */ SELECT pgr_analyzegraph('edge_table', 0.001, rows_where:='old_id is null'); /* --q10.1 */ /* --q11 */ SELECT pgr_analyzegraph('edge_table', 0.001); /* --q11.1 */ pgrouting-3.3.0/docqueries/topology/issue900.result000066400000000000000000000014371414350551100223770ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET ALTER TABLE edge_table RENAME TO mbta_arc; ALTER TABLE CREATE TABLE edge_table AS SELECT * FROM mbta_arc; SELECT 18 ; SELECT pgr_CreateTopology('edge_table', 0.001, 'the_geom', 'id', clean := true); NOTICE: PROCESSING: NOTICE: pgr_createTopology('edge_table', 0.001, 'the_geom', 'id', 'source', 'target', rows_where := 'true', clean := t) NOTICE: Performing checks, please wait ..... NOTICE: Creating Topology, Please wait... NOTICE: -------------> TOPOLOGY CREATED FOR 18 edges NOTICE: Rows with NULL geometry or NULL id: 0 NOTICE: Vertices table for table public.edge_table is: public.edge_table_vertices_pgr NOTICE: ---------------------------------------------- pgr_createtopology -------------------- OK (1 row) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/topology/issue900.test.sql000066400000000000000000000002621414350551100226310ustar00rootroot00000000000000 ALTER TABLE edge_table RENAME TO mbta_arc; CREATE TABLE edge_table AS SELECT * FROM mbta_arc;; SELECT pgr_CreateTopology('edge_table', 0.001, 'the_geom', 'id', clean := true); pgrouting-3.3.0/docqueries/topology/test.conf000066400000000000000000000015061414350551100214010ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'pgr_createTopology, pgr_analyzegraph, and pgr_analyzeOneway tests for any versions.', 'data' => [ ], 'tests' => [qw( issue900 createVertTab-any doc-pgr_createTopology doc-pgr_createVerticesTable doc-pgr_analyzeGraph doc-pgr_analyzeOneWay doc-pgr_nodeNetwork doc-pgr_extractVertices )], 'documentation' => [qw( doc-pgr_analyzeGraph doc-pgr_createTopology doc-pgr_nodeNetwork doc-pgr_analyzeOneWay doc-pgr_createVerticesTable doc-pgr_extractVertices doc-pgr_analyzeGraph )], 'dummyStorage' => [qw( )] }, ); 1; pgrouting-3.3.0/docqueries/transitiveClosure/000077500000000000000000000000001414350551100214225ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/transitiveClosure/CMakeLists.txt000066400000000000000000000005401414350551100241610ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-transitiveClosure ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/transitiveClosure/doc-transitiveClosure.result000066400000000000000000000043151414350551100271550ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET CREATE TABLE edge_table1 ( id serial, source integer, target integer, cost double precision, reverse_cost double precision ); CREATE TABLE INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (0,1,1,-1); INSERT 0 1 INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (0,3,1,-1); INSERT 0 1 INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (0,2,1,-1); INSERT 0 1 INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (1,3,1,-1); INSERT 0 1 INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (1,2,1,-1); INSERT 0 1 INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (3,2,1,-1); INSERT 0 1 /* -- q1 */ SELECT * FROM pgr_transitiveclosure( 'SELECT id,source,target,cost,reverse_cost FROM edge_table1' ); seq | vid | target_array -----+-----+-------------- 1 | 0 | {1,3,2} 2 | 1 | {3,2} 3 | 3 | {2} 4 | 2 | {} (4 rows) /* -- q2 */ SELECT * FROM pgr_transitiveclosure( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where id=2' ); seq | vid | target_array -----+-----+-------------- 1 | 2 | {} 2 | 3 | {2} (2 rows) SELECT * FROM pgr_transitiveclosure( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where id=3' ); seq | vid | target_array -----+-----+-------------- 1 | 3 | {} 2 | 4 | {3} (2 rows) SELECT * FROM pgr_transitiveclosure( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where id=2 or id=3' ); seq | vid | target_array -----+-----+-------------- 1 | 2 | {} 2 | 3 | {2} 3 | 4 | {3,2} (3 rows) SELECT * FROM pgr_transitiveclosure( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where id=11' ); seq | vid | target_array -----+-----+-------------- 1 | 6 | {11} 2 | 11 | {} (2 rows) /* -- q3 */ SELECT * FROM pgr_transitiveclosure( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where cost=-1 or reverse_cost=-1' ); seq | vid | target_array -----+-----+--------------- 1 | 2 | {} 2 | 3 | {11,12,6,2} 3 | 4 | {11,12,3,6,2} 4 | 6 | {11,12} 5 | 11 | {12} 6 | 10 | {11,12} 7 | 12 | {} (7 rows) /* -- q4 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/transitiveClosure/doc-transitiveClosure.test.sql000066400000000000000000000025251414350551100274150ustar00rootroot00000000000000CREATE TABLE edge_table1 ( id serial, source integer, target integer, cost double precision, reverse_cost double precision ); INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (0,1,1,-1); INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (0,3,1,-1); INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (0,2,1,-1); INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (1,3,1,-1); INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (1,2,1,-1); INSERT INTO edge_table1 (source,target,cost,reverse_cost) VALUES (3,2,1,-1); /* -- q1 */ SELECT * FROM pgr_transitiveclosure( 'SELECT id,source,target,cost,reverse_cost FROM edge_table1' ); /* -- q2 */ SELECT * FROM pgr_transitiveclosure( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where id=2' ); SELECT * FROM pgr_transitiveclosure( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where id=3' ); SELECT * FROM pgr_transitiveclosure( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where id=2 or id=3' ); SELECT * FROM pgr_transitiveclosure( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where id=11' ); /* -- q3 */ SELECT * FROM pgr_transitiveclosure( 'SELECT id,source,target,cost,reverse_cost FROM edge_table where cost=-1 or reverse_cost=-1' ); /* -- q4 */ pgrouting-3.3.0/docqueries/transitiveClosure/test.conf000066400000000000000000000004601414350551100232500ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'transitiveClosure algorithm tests.', 'data' => [ ], 'tests' => [qw( doc-transitiveClosure )], 'documentation' => [qw( doc-transitiveClosure )] }, ); 1; pgrouting-3.3.0/docqueries/traversal/000077500000000000000000000000001414350551100177005ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/traversal/CMakeLists.txt000066400000000000000000000005431414350551100224420ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_depthFirstSearch ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/traversal/doc-pgr_depthFirstSearch.result000066400000000000000000000077721414350551100260320ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT * FROM pgr_depthFirstSearch( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 1 | 1 | 1 | 1 3 | 1 | 2 | 5 | 4 | 1 | 1 4 | 2 | 2 | 8 | 7 | 1 | 2 5 | 3 | 2 | 7 | 6 | 1 | 3 6 | 2 | 2 | 6 | 8 | 1 | 2 7 | 3 | 2 | 9 | 9 | 1 | 3 8 | 4 | 2 | 12 | 15 | 1 | 4 9 | 4 | 2 | 4 | 16 | 1 | 4 10 | 5 | 2 | 3 | 3 | 1 | 5 11 | 3 | 2 | 11 | 11 | 1 | 3 12 | 2 | 2 | 10 | 10 | 1 | 2 13 | 3 | 2 | 13 | 14 | 1 | 3 (13 rows) /* -- q2 */ SELECT * FROM pgr_depthFirstSearch( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2, directed => false, max_depth => 2 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 1 | 1 | 1 | 1 3 | 1 | 2 | 3 | 2 | 1 | 1 4 | 2 | 2 | 4 | 3 | 1 | 2 5 | 2 | 2 | 6 | 5 | 1 | 2 6 | 1 | 2 | 5 | 4 | 1 | 1 7 | 2 | 2 | 8 | 7 | 1 | 2 8 | 2 | 2 | 10 | 10 | 1 | 2 (8 rows) /* -- q3 */ SELECT * FROM pgr_depthFirstSearch( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[11, 2], directed => false, max_depth => 2 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 1 | 1 | 1 | 1 3 | 1 | 2 | 3 | 2 | 1 | 1 4 | 2 | 2 | 4 | 3 | 1 | 2 5 | 2 | 2 | 6 | 5 | 1 | 2 6 | 1 | 2 | 5 | 4 | 1 | 1 7 | 2 | 2 | 8 | 7 | 1 | 2 8 | 2 | 2 | 10 | 10 | 1 | 2 9 | 0 | 11 | 11 | -1 | 0 | 0 10 | 1 | 11 | 6 | 11 | 1 | 1 11 | 2 | 11 | 3 | 5 | 1 | 2 12 | 2 | 11 | 5 | 8 | 1 | 2 13 | 2 | 11 | 9 | 9 | 1 | 2 14 | 1 | 11 | 10 | 12 | 1 | 1 15 | 2 | 11 | 13 | 14 | 1 | 2 16 | 1 | 11 | 12 | 13 | 1 | 1 (16 rows) /* -- q4 */ SELECT * FROM pgr_depthFirstSearch( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id DESC', 2 ); seq | depth | start_vid | node | edge | cost | agg_cost -----+-------+-----------+------+------+------+---------- 1 | 0 | 2 | 2 | -1 | 0 | 0 2 | 1 | 2 | 5 | 4 | 1 | 1 3 | 2 | 2 | 10 | 10 | 1 | 2 4 | 3 | 2 | 13 | 14 | 1 | 3 5 | 3 | 2 | 11 | 12 | 1 | 3 6 | 4 | 2 | 12 | 13 | 1 | 4 7 | 5 | 2 | 9 | 15 | 1 | 5 8 | 6 | 2 | 4 | 16 | 1 | 6 9 | 7 | 2 | 3 | 3 | 1 | 7 10 | 8 | 2 | 6 | 5 | 1 | 8 11 | 2 | 2 | 8 | 7 | 1 | 2 12 | 3 | 2 | 7 | 6 | 1 | 3 13 | 1 | 2 | 1 | 1 | 1 | 1 (13 rows) /* -- q5 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/traversal/doc-pgr_depthFirstSearch.test.sql000066400000000000000000000012321414350551100262520ustar00rootroot00000000000000/* -- q1 */ SELECT * FROM pgr_depthFirstSearch( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2 ); /* -- q2 */ SELECT * FROM pgr_depthFirstSearch( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 2, directed => false, max_depth => 2 ); /* -- q3 */ SELECT * FROM pgr_depthFirstSearch( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', ARRAY[11, 2], directed => false, max_depth => 2 ); /* -- q4 */ SELECT * FROM pgr_depthFirstSearch( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id DESC', 2 ); /* -- q5 */ pgrouting-3.3.0/docqueries/traversal/test.conf000066400000000000000000000004671414350551100215350ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'Depth First Search algorithm tests.', 'data' => [ ], 'tests' => [qw( doc-pgr_depthFirstSearch )], 'documentation' => [qw( doc-pgr_depthFirstSearch )] }, ); 1; pgrouting-3.3.0/docqueries/trsp/000077500000000000000000000000001414350551100166655ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/trsp/CMakeLists.txt000066400000000000000000000005421414350551100214260ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-trsp trsp_notes ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/trsp/doc-trsp.result000066400000000000000000000062351414350551100216660ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* --q1 */ SELECT * FROM pgr_trsp( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table', 7, 12, false, false ); seq | id1 | id2 | cost -----+-----+-----+------ 0 | 7 | 6 | 1 1 | 8 | 7 | 1 2 | 5 | 8 | 1 3 | 6 | 9 | 1 4 | 9 | 15 | 1 5 | 12 | -1 | 0 (6 rows) /* --q2 */ /* --q3 */ SELECT * FROM pgr_trsp( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table', 2, 7, false, false, 'SELECT to_cost, target_id::int4, from_edge || coalesce('','' || via_path, '''') AS via_path FROM restrictions' ); seq | id1 | id2 | cost -----+-----+-----+------ 0 | 2 | 4 | 1 1 | 5 | 10 | 1 2 | 10 | 12 | 1 3 | 11 | 11 | 1 4 | 6 | 8 | 1 5 | 5 | 7 | 1 6 | 8 | 6 | 1 7 | 7 | -1 | 0 (8 rows) SELECT * FROM pgr_trsp( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table', 7, 11, false, false, 'SELECT to_cost, target_id::int4, from_edge || coalesce('','' || via_path, '''') AS via_path FROM restrictions' ); seq | id1 | id2 | cost -----+-----+-----+------ 0 | 7 | 6 | 1 1 | 8 | 7 | 1 2 | 5 | 8 | 1 3 | 6 | 9 | 1 4 | 9 | 15 | 1 5 | 12 | 13 | 1 6 | 11 | -1 | 0 (7 rows) /* --q4 */ SELECT * FROM pgr_trspViaVertices( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table', ARRAY[2,7,11]::INTEGER[], false, false, 'SELECT to_cost, target_id::int4, from_edge || coalesce('',''||via_path,'''') AS via_path FROM restrictions'); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | 2 | 4 | 1 2 | 1 | 5 | 10 | 1 3 | 1 | 10 | 12 | 1 4 | 1 | 11 | 11 | 1 5 | 1 | 6 | 8 | 1 6 | 1 | 5 | 7 | 1 7 | 1 | 8 | 6 | 1 8 | 2 | 7 | 6 | 1 9 | 2 | 8 | 7 | 1 10 | 2 | 5 | 8 | 1 11 | 2 | 6 | 9 | 1 12 | 2 | 9 | 15 | 1 13 | 2 | 12 | 13 | 1 14 | 2 | 11 | -1 | 0 (14 rows) /* --q5 */ SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[2,7,11]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::FLOAT[], true, true, 'SELECT to_cost, target_id::int4, FROM_edge || coalesce('',''||via_path,'''') AS via_path FROM restrictions'); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 2 | 0.5 2 | 1 | 2 | 4 | 1 3 | 1 | 5 | 8 | 1 4 | 1 | 6 | 9 | 1 5 | 1 | 9 | 16 | 1 6 | 1 | 4 | 3 | 1 7 | 1 | 3 | 5 | 1 8 | 1 | 6 | 8 | 1 9 | 1 | 5 | 7 | 1 10 | 2 | 5 | 8 | 1 11 | 2 | 6 | 9 | 1 12 | 2 | 9 | 16 | 1 13 | 2 | 4 | 3 | 1 14 | 2 | 3 | 5 | 1 15 | 2 | 6 | 11 | 0.5 (15 rows) /* --q6 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/trsp/doc-trsp.test.sql000066400000000000000000000036221414350551100221220ustar00rootroot00000000000000 ------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------ -- PGR_pgr_trsp ------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------ /* --q1 */ SELECT * FROM pgr_trsp( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table', 7, 12, false, false ); /* --q2 */ /* --q3 */ SELECT * FROM pgr_trsp( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table', 2, 7, false, false, 'SELECT to_cost, target_id::int4, from_edge || coalesce('','' || via_path, '''') AS via_path FROM restrictions' ); SELECT * FROM pgr_trsp( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table', 7, 11, false, false, 'SELECT to_cost, target_id::int4, from_edge || coalesce('','' || via_path, '''') AS via_path FROM restrictions' ); /* --q4 */ SELECT * FROM pgr_trspViaVertices( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table', ARRAY[2,7,11]::INTEGER[], false, false, 'SELECT to_cost, target_id::int4, from_edge || coalesce('',''||via_path,'''') AS via_path FROM restrictions'); /* --q5 */ SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[2,7,11]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::FLOAT[], true, true, 'SELECT to_cost, target_id::int4, FROM_edge || coalesce('',''||via_path,'''') AS via_path FROM restrictions'); /* --q6 */ pgrouting-3.3.0/docqueries/trsp/four_edges.result000066400000000000000000000151341414350551100222530ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SET extra_float_digits=-3; SET CREATE TABLE four_edges ( id BIGINT, source BIGINT, target BIGINT, cost FLOAT, reverse_cost FLOAT); CREATE TABLE INSERT INTO four_edges (id, source, target, cost, reverse_cost) VALUES ( 719 , 52163 , -56570 , 179.400001 , 179.400001), ( 717 , 52222 , 52163 , 977.000001 , 977.000001), ( 718 , 52220 , 52222 , 961.000001 , 961.000001), ( 716 , -21019 , 52220 , 992.000001 , 992.000001); INSERT 0 4 SELECT * FROM pgr_trsp( $$SELECT id::int, source::int, target::int, cost::float, reverse_cost::float FROM (VALUES (719, 52163, -56570, 179.400001, 179.400001), (717, 52222, 52163, 977.000001, 977.000001), (718, 52220, 52222, 961.000001, 961.000001), (716, -21019, 52220, 992.000001, 992.000001) ) AS t (id, source, target, cost, reverse_cost)$$, 719, 0, 718, 0, true, true, NULL); seq | id1 | id2 | cost -----+-------+-----+------------ 0 | 52163 | 717 | 977.000001 1 | 52222 | 718 | 961.000001 2 | 52220 | -1 | 0 (3 rows) SELECT * FROM pgr_trsp( $$SELECT id::int, source::int, target::int, cost::float, reverse_cost::float FROM (VALUES (719, 52163, -56570, 179.40000, 179.40000), (717, 52222, 52163, 977.00000, 977.00000), (718, 52220, 52222, 961.00000, 961.00000), (716, -21019, 52220, 992.00000, 992.00000) ) AS t (id, source, target, cost, reverse_cost)$$, (SELECT source::int FROM four_edges WHERE id = 719), (SELECT source::int FROM four_edges WHERE id = 718), true, true, NULL); seq | id1 | id2 | cost -----+-------+-----+------ 0 | 52163 | 717 | 977 1 | 52222 | 718 | 961 2 | 52220 | -1 | 0 (3 rows) SELECT * FROM pgr_trsp( $$SELECT id::int, source::int, target::int, cost::float, reverse_cost::float FROM four_edges$$, 719, 0, 718, 0, true, true, NULL); seq | id1 | id2 | cost -----+-------+-----+------------ 0 | 52163 | 717 | 977.000001 1 | 52222 | 718 | 961.000001 2 | 52220 | -1 | 0 (3 rows) SELECT * FROM pgr_dijkstra( $$SELECT id::int, source::int, target::int, cost::float, reverse_cost::float FROM four_edges$$, 52163, 52220, false); seq | path_seq | node | edge | cost | agg_cost -----+----------+-------+------+------------+------------- 1 | 1 | 52163 | 717 | 977.000001 | 0 2 | 2 | 52222 | 718 | 961.000001 | 977.000001 3 | 3 | 52220 | -1 | 0 | 1938.000002 (3 rows) SELECT * FROM pgr_dijkstra( $$SELECT id, source, target, cost, reverse_cost FROM four_edges$$, (SELECT source FROM four_edges WHERE id = 719), (SELECT source FROM four_edges WHERE id = 718), true); seq | path_seq | node | edge | cost | agg_cost -----+----------+-------+------+------------+------------- 1 | 1 | 52163 | 717 | 977.000001 | 0 2 | 2 | 52222 | 718 | 961.000001 | 977.000001 3 | 3 | 52220 | -1 | 0 | 1938.000002 (3 rows) /* Comparing withPoints and trsp*/ SELECT * FROM pgr_trsp( $$SELECT id::int, source::int, target::int, cost::float, reverse_cost::float FROM four_edges$$, 719, 0.5, 718, 0, true, true, NULL); seq | id1 | id2 | cost -----+-------+-----+------------ 0 | -1 | 719 | 89.7000005 1 | 52163 | 717 | 977.000001 2 | 52222 | 718 | 961.000001 3 | 52220 | -1 | 0 (4 rows) SELECT * FROM pgr_withPoints( $$SELECT id, source, target, cost, reverse_cost FROM four_edges$$, $$SELECT 719 AS edge_id, 0.5::float AS fraction$$, -1, /* selecting source because we have 0 */ (SELECT source FROM four_edges WHERE id = 718), true); seq | path_seq | node | edge | cost | agg_cost -----+----------+-------+------+------------+-------------- 1 | 1 | -1 | 719 | 89.7000005 | 0 2 | 2 | 52163 | 717 | 977.000001 | 89.7000005 3 | 3 | 52222 | 718 | 961.000001 | 1066.7000015 4 | 4 | 52220 | -1 | 0 | 2027.7000025 (4 rows) /* TODO should give result more or less the same as above*/ SELECT * FROM pgr_withPoints( $$SELECT id, source, target, cost, reverse_cost FROM four_edges$$, $$(SELECT 719 AS edge_id, 0.5::float AS fraction) UNION (SELECT 718, 0)$$, -1, -2, true); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- (0 rows) SELECT * FROM pgr_trsp( $$SELECT id::int, source::int, target::int, cost::float, reverse_cost::float FROM four_edges$$, 719, 0, 718, 0.5, true, true, NULL); seq | id1 | id2 | cost -----+-------+-----+------------- 0 | 52163 | 717 | 977.000001 1 | 52222 | 718 | 480.5000005 2 | -2 | -1 | 0 (3 rows) SELECT * FROM pgr_withPoints( $$SELECT id, source, target, cost, reverse_cost FROM four_edges$$, $$SELECT 718 AS edge_id, 0.5::float AS fraction$$, /* selecting source because we have 0 */ (SELECT source FROM four_edges WHERE id = 719), -1, true); seq | path_seq | node | edge | cost | agg_cost -----+----------+-------+------+-------------+-------------- 1 | 1 | 52163 | 717 | 977.000001 | 0 2 | 2 | 52222 | 718 | 480.5000005 | 977.000001 3 | 3 | -1 | -1 | 0 | 1457.5000015 (3 rows) /* TODO should give result more or less the same as above*/ SELECT * FROM pgr_withPoints( $$SELECT id, source, target, cost, reverse_cost FROM four_edges$$, $$(SELECT 719 AS edge_id, 0::float AS fraction) UNION (SELECT 718, 0.5)$$, -1, -2, true); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- (0 rows) SELECT * FROM pgr_trsp( $$SELECT id::int, source::int, target::int, cost::float, reverse_cost::float FROM four_edges$$, 719, 0.5, 718, 0.5, true, true, NULL); seq | id1 | id2 | cost -----+-------+-----+------------- 0 | -1 | 719 | 89.7000005 1 | 52163 | 717 | 977.000001 2 | 52222 | 718 | 480.5000005 3 | -2 | -1 | 0 (4 rows) SELECT * FROM pgr_withPoints( $$SELECT id, source, target, cost, reverse_cost FROM four_edges$$, $$(SELECT 719 AS edge_id, 0.5::float AS fraction) UNION (SELECT 718, 0.5)$$, -1, -2, true); seq | path_seq | node | edge | cost | agg_cost -----+----------+-------+------+-------------+-------------- 1 | 1 | -1 | 718 | 480.5000005 | 0 2 | 2 | 52222 | 717 | 977.000001 | 480.5000005 3 | 3 | 52163 | 719 | 89.7000005 | 1457.5000015 4 | 4 | -2 | -1 | 0 | 1547.200002 (4 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/trsp/four_edges.test.sql000066400000000000000000000072601414350551100225130ustar00rootroot00000000000000SET extra_float_digits=-3; CREATE TABLE four_edges ( id BIGINT, source BIGINT, target BIGINT, cost FLOAT, reverse_cost FLOAT); INSERT INTO four_edges (id, source, target, cost, reverse_cost) VALUES ( 719 , 52163 , -56570 , 179.400001 , 179.400001), ( 717 , 52222 , 52163 , 977.000001 , 977.000001), ( 718 , 52220 , 52222 , 961.000001 , 961.000001), ( 716 , -21019 , 52220 , 992.000001 , 992.000001); SELECT * FROM pgr_trsp( $$SELECT id::int, source::int, target::int, cost::float, reverse_cost::float FROM (VALUES (719, 52163, -56570, 179.400001, 179.400001), (717, 52222, 52163, 977.000001, 977.000001), (718, 52220, 52222, 961.000001, 961.000001), (716, -21019, 52220, 992.000001, 992.000001) ) AS t (id, source, target, cost, reverse_cost)$$, 719, 0, 718, 0, true, true, NULL); SELECT * FROM pgr_trsp( $$SELECT id::int, source::int, target::int, cost::float, reverse_cost::float FROM (VALUES (719, 52163, -56570, 179.40000, 179.40000), (717, 52222, 52163, 977.00000, 977.00000), (718, 52220, 52222, 961.00000, 961.00000), (716, -21019, 52220, 992.00000, 992.00000) ) AS t (id, source, target, cost, reverse_cost)$$, (SELECT source::int FROM four_edges WHERE id = 719), (SELECT source::int FROM four_edges WHERE id = 718), true, true, NULL); SELECT * FROM pgr_trsp( $$SELECT id::int, source::int, target::int, cost::float, reverse_cost::float FROM four_edges$$, 719, 0, 718, 0, true, true, NULL); SELECT * FROM pgr_dijkstra( $$SELECT id::int, source::int, target::int, cost::float, reverse_cost::float FROM four_edges$$, 52163, 52220, false); SELECT * FROM pgr_dijkstra( $$SELECT id, source, target, cost, reverse_cost FROM four_edges$$, (SELECT source FROM four_edges WHERE id = 719), (SELECT source FROM four_edges WHERE id = 718), true); /* Comparing withPoints and trsp*/ SELECT * FROM pgr_trsp( $$SELECT id::int, source::int, target::int, cost::float, reverse_cost::float FROM four_edges$$, 719, 0.5, 718, 0, true, true, NULL); SELECT * FROM pgr_withPoints( $$SELECT id, source, target, cost, reverse_cost FROM four_edges$$, $$SELECT 719 AS edge_id, 0.5::float AS fraction$$, -1, /* selecting source because we have 0 */ (SELECT source FROM four_edges WHERE id = 718), true); /* TODO should give result more or less the same as above*/ SELECT * FROM pgr_withPoints( $$SELECT id, source, target, cost, reverse_cost FROM four_edges$$, $$(SELECT 719 AS edge_id, 0.5::float AS fraction) UNION (SELECT 718, 0)$$, -1, -2, true); SELECT * FROM pgr_trsp( $$SELECT id::int, source::int, target::int, cost::float, reverse_cost::float FROM four_edges$$, 719, 0, 718, 0.5, true, true, NULL); SELECT * FROM pgr_withPoints( $$SELECT id, source, target, cost, reverse_cost FROM four_edges$$, $$SELECT 718 AS edge_id, 0.5::float AS fraction$$, /* selecting source because we have 0 */ (SELECT source FROM four_edges WHERE id = 719), -1, true); /* TODO should give result more or less the same as above*/ SELECT * FROM pgr_withPoints( $$SELECT id, source, target, cost, reverse_cost FROM four_edges$$, $$(SELECT 719 AS edge_id, 0::float AS fraction) UNION (SELECT 718, 0.5)$$, -1, -2, true); SELECT * FROM pgr_trsp( $$SELECT id::int, source::int, target::int, cost::float, reverse_cost::float FROM four_edges$$, 719, 0.5, 718, 0.5, true, true, NULL); SELECT * FROM pgr_withPoints( $$SELECT id, source, target, cost, reverse_cost FROM four_edges$$, $$(SELECT 719 AS edge_id, 0.5::float AS fraction) UNION (SELECT 718, 0.5)$$, -1, -2, true); pgrouting-3.3.0/docqueries/trsp/issue693.result000066400000000000000000000012221414350551100215140ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET CREATE TABLE routing (gid serial, length integer, source integer, target integer, reverse_cost integer); CREATE TABLE INSERT INTO routing (length, source, target, reverse_cost) VALUES (10000, 1, 2, 10000), (5, 3, 1, 5), (10, 4, 3, 10), (10, 2, 4, 10); INSERT 0 4 SELECT pgr_trsp( 'SELECT gid as id, source::int4, target::int4, length::float8 as cost, length::float8 as reverse_cost FROM routing', 1, 0.1, 1, 0.9, false, true ); pgr_trsp --------------- (0,-1,1,1000) (1,1,2,5) (2,3,3,10) (3,4,4,10) (4,2,1,1000) (5,-2,-1,0) (6 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/trsp/issue693.test.sql000066400000000000000000000007201414350551100217550ustar00rootroot00000000000000 CREATE TABLE routing (gid serial, length integer, source integer, target integer, reverse_cost integer); INSERT INTO routing (length, source, target, reverse_cost) VALUES (10000, 1, 2, 10000), (5, 3, 1, 5), (10, 4, 3, 10), (10, 2, 4, 10); SELECT pgr_trsp( 'SELECT gid as id, source::int4, target::int4, length::float8 as cost, length::float8 as reverse_cost FROM routing', 1, 0.1, 1, 0.9, false, true ); pgrouting-3.3.0/docqueries/trsp/issue704.result000066400000000000000000000041541414350551100215140ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET CREATE TABLE maptest as SELECT 671222::integer as id, 318255::integer as source, 222698::integer as target, 14.02::float8 as cost, 14.02::float8 as reverse_cost UNION ALL SELECT 671223, 222698, 36655, 197.16, 197.16 UNION ALL SELECT 582877, 408918, 5556, 458.09, 458.09 UNION ALL SELECT 582876, 318255, 408918, 3.89, 3.89 UNION ALL SELECT 585280, 5556, 454424, 54.84, 54.84; SELECT 5 SELECT seq, id1 AS node, id2 AS edge, cost::numeric(11,4) FROM pgr_trsp( 'select * from maptest', 582877, 0, 582877, 0.5, true, true, null ) PG ; seq | node | edge | cost -----+--------+--------+---------- 0 | 408918 | 582877 | 229.0450 1 | -2 | -1 | 0.0000 (2 rows) SELECT seq, id1 AS node, id2 AS edge, cost::numeric(11,4) FROM pgr_trsp( 'select * from maptest', 582877, 0.0000000001, 582877, 0.5, true, true, null ) PG ; seq | node | edge | cost -----+------+--------+---------- 0 | -1 | 582877 | 229.0450 1 | -2 | -1 | 0.0000 (2 rows) SELECT seq, id1 AS node, id2 AS edge, cost::numeric(11,4) FROM pgr_trsp( 'select * from maptest', 582877, 0, 582877, 0.5, true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ) PG ; seq | node | edge | cost -----+------+--------+---------- 0 | -1 | 582877 | 229.0450 (1 row) SELECT seq, id1 AS node, id2 AS edge, cost::numeric(11,4) FROM pgr_trsp( 'select * from maptest', 582877, 0.0000000001, 582877, 0.5, true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ) PG ; seq | node | edge | cost -----+------+--------+---------- 0 | -1 | 582877 | 229.0450 (1 row) SELECT seq, id1 AS node, id2 AS edge, cost::numeric(11,4) FROM pgr_trsp( 'select * from maptest', 582877, 0, 582877, 1, true, true ); seq | node | edge | cost -----+--------+--------+---------- 0 | 408918 | 582877 | 458.0900 1 | 5556 | -1 | 0.0000 (2 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/trsp/issue704.test.sql000066400000000000000000000043221414350551100217500ustar00rootroot00000000000000 CREATE TABLE maptest as SELECT 671222::integer as id, 318255::integer as source, 222698::integer as target, 14.02::float8 as cost, 14.02::float8 as reverse_cost UNION ALL SELECT 671223, 222698, 36655, 197.16, 197.16 UNION ALL SELECT 582877, 408918, 5556, 458.09, 458.09 UNION ALL SELECT 582876, 318255, 408918, 3.89, 3.89 UNION ALL SELECT 585280, 5556, 454424, 54.84, 54.84; SELECT seq, id1 AS node, id2 AS edge, cost::numeric(11,4) FROM pgr_trsp( 'select * from maptest', 582877, -- edge_id for start 0, -- ini_offset 582877, -- edge_id of route end 0.5, -- end_offset true, -- directed graph? true, -- has_reverse_cost? null -- include the turn restrictions ) PG ; SELECT seq, id1 AS node, id2 AS edge, cost::numeric(11,4) FROM pgr_trsp( 'select * from maptest', 582877, -- edge_id for start 0.0000000001, -- ini_offset 582877, -- edge_id of route end 0.5, -- end_offset true, -- directed graph? true, -- has_reverse_cost? null -- include the turn restrictions ) PG ; SELECT seq, id1 AS node, id2 AS edge, cost::numeric(11,4) FROM pgr_trsp( 'select * from maptest', 582877, -- edge_id for start 0, -- ini_offset 582877, -- edge_id of route end 0.5, -- end_offset true, -- directed graph? true, -- has_reverse_cost? $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ) PG ; SELECT seq, id1 AS node, id2 AS edge, cost::numeric(11,4) FROM pgr_trsp( 'select * from maptest', 582877, -- edge_id for start 0.0000000001, -- ini_offset 582877, -- edge_id of route end 0.5, -- end_offset true, -- directed graph? true, -- has_reverse_cost? $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ) PG ; SELECT seq, id1 AS node, id2 AS edge, cost::numeric(11,4) FROM pgr_trsp( 'select * from maptest', 582877, -- edge_id for start 0, -- ini_offset 582877, -- edge_id of route end 1, -- end_offset true, -- directed graph? true -- has_reverse_cost? ); pgrouting-3.3.0/docqueries/trsp/issue717.result000066400000000000000000000223401414350551100215150ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /*PGR-GNU***************************************************************** Copyright (c) 2015 pgRouting developers Mail: project@pgrouting.org ------ This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License AS published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ********************************************************************PGR-GNU*/ SELECT * FROM pgr_trspViaVertices( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[2, 7, 11]::INTEGER[], true, true ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | 2 | 4 | 1 2 | 1 | 5 | 7 | 1 3 | 1 | 8 | 6 | 1 4 | 2 | 7 | 6 | 1 5 | 2 | 8 | 7 | 1 6 | 2 | 5 | 10 | 1 7 | 2 | 10 | 12 | 1 8 | 2 | 11 | -1 | 0 (8 rows) SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[4,6,11]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::float8[], true, true ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 4 | 0.5 2 | 1 | 5 | 7 | 1 3 | 1 | 8 | 6 | 0.5 4 | 1 | -2 | -1 | 0 5 | 2 | -2 | 6 | 0.5 6 | 2 | 8 | 7 | 1 7 | 2 | 5 | 8 | 1 8 | 2 | 6 | 11 | 0.5 9 | 2 | -3 | -2 | 0 (9 rows) SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::float8[], true, true ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 1 | 0.5 2 | 1 | 2 | 4 | 1 3 | 1 | 5 | 8 | 1 4 | 1 | 6 | 11 | 0.5 5 | 1 | -2 | -1 | 0 6 | 2 | -2 | 11 | 0.5 7 | 2 | 11 | 13 | 1 8 | 2 | 12 | 15 | 1 9 | 2 | 9 | 9 | 1 10 | 2 | 6 | 8 | 1 11 | 2 | 5 | 7 | 1 12 | 2 | 8 | 6 | 0.5 13 | 2 | -3 | -2 | 0 (13 rows) SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::float8[], true, true ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 1 | 0.5 2 | 1 | 2 | 4 | 1 3 | 1 | 5 | 8 | 1 4 | 1 | 6 | 11 | 0.5 5 | 1 | -2 | -1 | 0 6 | 2 | -2 | 11 | 0.5 7 | 2 | 11 | 13 | 1 8 | 2 | 12 | 15 | 1 9 | 2 | 9 | 9 | 1 10 | 2 | 6 | 8 | 1 11 | 2 | 5 | 7 | 1 12 | 2 | 8 | 6 | 0.5 13 | 2 | -3 | -2 | 0 (13 rows) SELECT * FROM pgr_trspViaVertices( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[2, 7, 11]::INTEGER[], true, false ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ (0 rows) SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[4,6,11]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::float8[], true, false ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 2 | -2 | 6 | 0.5 2 | 2 | 8 | 7 | 1 3 | 2 | 5 | 8 | 1 4 | 2 | 6 | 11 | 0.5 5 | 2 | -3 | -2 | 0 (5 rows) SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::float8[], true, false ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 1 | 0.5 2 | 1 | 2 | 4 | 1 3 | 1 | 5 | 8 | 1 4 | 1 | 6 | 11 | 0.5 5 | 1 | -2 | -2 | 0 (5 rows) SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::float8[], true, false ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 1 | 0.5 2 | 1 | 2 | 4 | 1 3 | 1 | 5 | 8 | 1 4 | 1 | 6 | 11 | 0.5 5 | 1 | -2 | -2 | 0 (5 rows) SELECT * FROM pgr_trspViaVertices( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[2, 7, 11]::INTEGER[], false, true ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | 2 | 4 | 1 2 | 1 | 5 | 7 | 1 3 | 1 | 8 | 6 | 1 4 | 2 | 7 | 6 | 1 5 | 2 | 8 | 7 | 1 6 | 2 | 5 | 10 | 1 7 | 2 | 10 | 12 | 1 8 | 2 | 11 | -1 | 0 (8 rows) SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[4,6,11]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::float8[], false, true ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 4 | 0.5 2 | 1 | 5 | 7 | 1 3 | 1 | 8 | 6 | 0.5 4 | 1 | -2 | -1 | 0 5 | 2 | -2 | 6 | 0.5 6 | 2 | 8 | 7 | 1 7 | 2 | 5 | 8 | 1 8 | 2 | 6 | 11 | 0.5 9 | 2 | -3 | -2 | 0 (9 rows) SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::float8[], false, true ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 1 | 0.5 2 | 1 | 2 | 2 | 1 3 | 1 | 3 | 5 | 1 4 | 1 | 6 | 11 | 0.5 5 | 1 | -2 | -1 | 0 6 | 2 | -2 | 11 | 0.5 7 | 2 | 6 | 8 | 1 8 | 2 | 5 | 7 | 1 9 | 2 | 8 | 6 | 0.5 10 | 2 | -3 | -2 | 0 (10 rows) SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::float8[], false, true ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 1 | 0.5 2 | 1 | 2 | 2 | 1 3 | 1 | 3 | 5 | 1 4 | 1 | 6 | 11 | 0.5 5 | 1 | -2 | -1 | 0 6 | 2 | -2 | 11 | 0.5 7 | 2 | 6 | 8 | 1 8 | 2 | 5 | 7 | 1 9 | 2 | 8 | 6 | 0.5 10 | 2 | -3 | -2 | 0 (10 rows) SELECT * FROM pgr_trspViaVertices( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[2, 7, 11]::INTEGER[], false, false ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | 2 | 4 | 1 2 | 1 | 5 | 7 | 1 3 | 1 | 8 | 6 | 1 4 | 2 | 7 | 6 | 1 5 | 2 | 8 | 7 | 1 6 | 2 | 5 | 10 | 1 7 | 2 | 10 | 12 | 1 8 | 2 | 11 | -1 | 0 (8 rows) SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[4,6,11]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::float8[], false, false ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 4 | 0.5 2 | 1 | 5 | 7 | 1 3 | 1 | 8 | 6 | 0.5 4 | 1 | -2 | -1 | 0 5 | 2 | -2 | 6 | 0.5 6 | 2 | 8 | 7 | 1 7 | 2 | 5 | 8 | 1 8 | 2 | 6 | 11 | 0.5 9 | 2 | -3 | -2 | 0 (9 rows) SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::float8[], false, false ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 1 | 0.5 2 | 1 | 2 | 4 | 1 3 | 1 | 5 | 8 | 1 4 | 1 | 6 | 11 | 0.5 5 | 1 | -2 | -1 | 0 6 | 2 | -2 | 11 | 0.5 7 | 2 | 6 | 8 | 1 8 | 2 | 5 | 7 | 1 9 | 2 | 8 | 6 | 0.5 10 | 2 | -3 | -2 | 0 (10 rows) SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::float8[], false, false ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 1 | 0.5 2 | 1 | 2 | 4 | 1 3 | 1 | 5 | 8 | 1 4 | 1 | 6 | 11 | 0.5 5 | 1 | -2 | -1 | 0 6 | 2 | -2 | 11 | 0.5 7 | 2 | 6 | 8 | 1 8 | 2 | 5 | 7 | 1 9 | 2 | 8 | 6 | 0.5 10 | 2 | -3 | -2 | 0 (10 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/trsp/issue717.test.sql000066400000000000000000000141431414350551100217560ustar00rootroot00000000000000/*PGR-GNU***************************************************************** Copyright (c) 2015 pgRouting developers Mail: project@pgrouting.org ------ This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License AS published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ********************************************************************PGR-GNU*/ ------------------------------------- ------------------------------------- -- tests to without restrictions ------------------------------------- ------------------------------------- ------------------------------------- -- directed with reverse_cost ------------------------------------- SELECT * FROM pgr_trspViaVertices( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[2, 7, 11]::INTEGER[], -- array of vids true, -- directed graph? true -- has_reverse_cost? ); SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[4,6,11]::INTEGER[], -- array of eids ARRAY[0.5, 0.5, 0.5]::float8[], -- array of pcts true, -- directed graph? true -- has_reverse_cost? ); SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], -- array of eids ARRAY[0.5, 0.5, 0.5]::float8[], -- array of pcts true, -- directed graph? true -- has_reverse_cost? ); SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], -- array of eids ARRAY[0.5, 0.5, 0.5]::float8[], -- array of pcts true, -- directed graph? true -- has_reverse_cost? ); ------------------------------------- -- directed without reverse_cost ------------------------------------- SELECT * FROM pgr_trspViaVertices( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[2, 7, 11]::INTEGER[], -- array of vids true, -- directed graph? false -- has_reverse_cost? ); SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[4,6,11]::INTEGER[], -- array of eids ARRAY[0.5, 0.5, 0.5]::float8[], -- array of pcts true, -- directed graph? false -- has_reverse_cost? ); SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], -- array of eids ARRAY[0.5, 0.5, 0.5]::float8[], -- array of pcts true, -- directed graph? false -- has_reverse_cost? ); SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], -- array of eids ARRAY[0.5, 0.5, 0.5]::float8[], -- array of pcts true, -- directed graph? false -- has_reverse_cost? ); ------------------------------------- -- undirected with reverse_cost ------------------------------------- SELECT * FROM pgr_trspViaVertices( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[2, 7, 11]::INTEGER[], -- array of vids false, -- directed graph? true -- has_reverse_cost? ); SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[4,6,11]::INTEGER[], -- array of eids ARRAY[0.5, 0.5, 0.5]::float8[], -- array of pcts false, -- directed graph? true -- has_reverse_cost? ); SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], -- array of eids ARRAY[0.5, 0.5, 0.5]::float8[], -- array of pcts false, -- directed graph? true -- has_reverse_cost? ); SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], -- array of eids ARRAY[0.5, 0.5, 0.5]::float8[], -- array of pcts false, -- directed graph? true -- has_reverse_cost? ); ------------------------------------- -- undirected without reverse_cost ------------------------------------- SELECT * FROM pgr_trspViaVertices( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[2, 7, 11]::INTEGER[], -- array of vids false, -- directed graph? false -- has_reverse_cost? ); SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[4,6,11]::INTEGER[], -- array of eids ARRAY[0.5, 0.5, 0.5]::float8[], -- array of pcts false, -- directed graph? false -- has_reverse_cost? ); SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], -- array of eids ARRAY[0.5, 0.5, 0.5]::float8[], -- array of pcts false, -- directed graph? false -- has_reverse_cost? ); SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], -- array of eids ARRAY[0.5, 0.5, 0.5]::float8[], -- array of pcts false, -- directed graph? false -- has_reverse_cost? ); pgrouting-3.3.0/docqueries/trsp/test.conf000066400000000000000000000012241414350551100205120ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'TRSP test for any versions.', 'data' => ['trsp-issue244.data'], 'tests' => [qw( trsp-renumber doc-trsp trsp-any-02 trsp_vias-any-04 issue693 issue704 issue717 trsp_notes four_edges )], 'documentation' => [qw( doc-trsp trsp_notes )] }, # 'vpg-vpgis' => {}, # for version specific tests # '8-1' => {}, # for pg 8.x and postgis 1.x # '9.2-2.1' => {}, # for pg 9.2 and postgis 2.1 ); 1; pgrouting-3.3.0/docqueries/trsp/trsp-any-02.result000066400000000000000000000021201414350551100221140ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SET extra_float_digits=-3; SET CREATE TABLE restrictions2 ( rid integer NOT NULL, to_cost double precision, teid integer, feid integer, via text ); CREATE TABLE INSERT INTO restrictions2 (rid, to_cost, teid, feid, via) VALUES (1,100,7,4,NULL), (2,4,8,3,'5'), (3,100,9,16,NULL); INSERT 0 3 UPDATE edge_table SET cost = cost + 0.001 * id * id, reverse_cost = reverse_cost + 0.001 * id * id; UPDATE 18 select * from pgr_trsp( 'select id::integer, source::integer, target::integer,cost, reverse_cost from edge_table ORDER BY ID', 1, 0.5, 6, 0.5, true, true, 'select to_cost, teid as target_id, feid||coalesce('',''||via,'''') as via_path from restrictions2'); seq | id1 | id2 | cost -----+-----+-----+-------- 0 | -1 | 1 | 0.5005 1 | 2 | 4 | 1.016 2 | 5 | 8 | 1.064 3 | 6 | 9 | 1.081 4 | 9 | 16 | 1.256 5 | 4 | 3 | 1.009 6 | 3 | 5 | 1.025 7 | 6 | 8 | 1.064 8 | 5 | 7 | 1.049 9 | 8 | 6 | 0.518 (10 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/trsp/trsp-any-02.test.sql000066400000000000000000000015151414350551100223620ustar00rootroot00000000000000SET extra_float_digits=-3; CREATE TABLE restrictions2 ( rid integer NOT NULL, to_cost double precision, teid integer, feid integer, via text ); INSERT INTO restrictions2 (rid, to_cost, teid, feid, via) VALUES (1,100,7,4,NULL), (2,4,8,3,'5'), (3,100,9,16,NULL); UPDATE edge_table SET cost = cost + 0.001 * id * id, reverse_cost = reverse_cost + 0.001 * id * id; select * from pgr_trsp( 'select id::integer, source::integer, target::integer,cost, reverse_cost from edge_table ORDER BY ID', 1, -- edge_id for start 0.5, -- midpoint of edge 6, -- edge_id of route end 0.5, -- midpoint of edge true, -- directed graph? true, -- has_reverse_cost? -- include the turn restrictions 'select to_cost, teid as target_id, feid||coalesce('',''||via,'''') as via_path from restrictions2'); pgrouting-3.3.0/docqueries/trsp/trsp-renumber.result000066400000000000000000000040601414350551100227320ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SELECT * FROM pgr_trsp( 'SELECT id::INTEGER, (source+10)::INTEGER AS source, (target+10)::INTEGER AS target, cost::FLOAT FROM edge_table', 17, 22, false, false ); seq | id1 | id2 | cost -----+-----+-----+------ 0 | 17 | 6 | 1 1 | 18 | 7 | 1 2 | 15 | 8 | 1 3 | 16 | 9 | 1 4 | 19 | 15 | 1 5 | 22 | -1 | 0 (6 rows) SELECT * FROM _pgr_trsp( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table', $$ SELECT 1 AS id, ARRAY[4,7] AS path, 100 AS cost $$, 2, 7, false ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | 10 | 1 | 1 3 | 3 | 10 | 12 | 1 | 2 4 | 4 | 11 | 11 | 1 | 3 5 | 5 | 6 | 8 | 1 | 4 6 | 6 | 5 | 7 | 1 | 5 7 | 7 | 8 | 6 | 1 | 6 8 | 8 | 7 | -1 | 0 | 7 (8 rows) SELECT * FROM _pgr_trsp( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table', $$ SELECT * FROM new_restrictions $$, 2, 7, false ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 2 | 4 | 1 | 0 2 | 2 | 5 | 7 | 101 | 1 3 | 3 | 8 | 6 | 1 | 102 4 | 4 | 7 | -1 | 0 | 103 (4 rows) SELECT * FROM pgr_trsp( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table', 2, 7, false, false, 'SELECT to_cost, target_id::int4, from_edge || coalesce('','' || via_path, '''') AS via_path FROM restrictions' ); seq | id1 | id2 | cost -----+-----+-----+------ 0 | 2 | 4 | 1 1 | 5 | 10 | 1 2 | 10 | 12 | 1 3 | 11 | 11 | 1 4 | 6 | 8 | 1 5 | 5 | 7 | 1 6 | 8 | 6 | 1 7 | 7 | -1 | 0 (8 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/trsp/trsp-renumber.test.sql000066400000000000000000000014301414350551100231670ustar00rootroot00000000000000 SELECT * FROM pgr_trsp( 'SELECT id::INTEGER, (source+10)::INTEGER AS source, (target+10)::INTEGER AS target, cost::FLOAT FROM edge_table', 17, 22, false, false ); SELECT * FROM _pgr_trsp( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table', $$ SELECT 1 AS id, ARRAY[4,7] AS path, 100 AS cost $$, 2, 7, false ); SELECT * FROM _pgr_trsp( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table', $$ SELECT * FROM new_restrictions $$, 2, 7, false ); SELECT * FROM pgr_trsp( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table', 2, 7, false, false, 'SELECT to_cost, target_id::int4, from_edge || coalesce('','' || via_path, '''') AS via_path FROM restrictions' ); pgrouting-3.3.0/docqueries/trsp/trsp_notes.result000066400000000000000000000412051414350551100223270ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET ROLLBACK; ROLLBACK set LOG_ERROR_VERBOSITY TO terse; SET SET extra_float_digits=-3; SET /* --place1 */ SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path; to_cost | target_id | via_path ---------+-----------+---------- 100 | 25 | 32, 33 (1 row) /* --place2 */ SELECT 1 AS id, 100::float AS cost, 25::INTEGER AS target_id, ARRAY[33, 32, 25] AS path; id | cost | target_id | path ----+------+-----------+------------ 1 | 100 | 25 | {33,32,25} (1 row) /* --place3 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 15, true, true ); seq | id1 | id2 | cost -----+-----+-----+------ (0 rows) /* --place4 */ SELECT * FROM pgr_dijkstra( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 15 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- (0 rows) /* --place5 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 15, true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); ERROR: Error computing path: Path Not Found CONTEXT: PL/pgSQL function pgr_trsp(text,integer,integer,boolean,boolean,text) line 53 at RAISE /* --place6 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 1, true, true ); seq | id1 | id2 | cost -----+-----+-----+------ (0 rows) /* --place7 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 14, 14, true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); ERROR: Error computing path: Path Not Found CONTEXT: PL/pgSQL function pgr_trsp(text,integer,integer,boolean,boolean,text) line 53 at RAISE /* --place8 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 1, true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); seq | id1 | id2 | cost -----+-----+-----+------ 0 | 1 | 1 | 1 1 | 2 | 4 | 1 2 | 5 | 8 | 1 3 | 6 | 9 | 1 4 | 9 | 16 | 1 5 | 4 | 3 | 1 6 | 3 | 2 | 1 7 | 2 | 1 | 1 8 | 1 | -1 | 0 (9 rows) /* --place9 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table$$, 2, 3, false, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); ERROR: Error, reverse_cost is used, but query did't return 'reverse_cost' column CONTEXT: PL/pgSQL function pgr_trsp(text,integer,integer,boolean,boolean,text) line 24 at RAISE /* --place10 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 2, 3, false, false, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); seq | id1 | id2 | cost -----+-----+-----+------ 0 | 2 | 4 | 1 1 | 5 | 8 | 1 2 | 6 | 5 | 1 3 | 3 | -1 | 0 (4 rows) /* --place11 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 0.5, 17, 0.5, true, true ); seq | id1 | id2 | cost -----+-----+-----+------ (0 rows) /* --place12 */ SELECT * FROM _pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 0.5, 17, 0.5, true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); ERROR: Error computing path: Path Not Found /* --place13 */ SELECT * FROM pgr_TRSP( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 0.5, 1, 0.8, true, true ); seq | id1 | id2 | cost -----+-----+-----+------ 0 | -1 | 1 | 0.3 1 | -2 | -1 | 0 (2 rows) /* --place14 */ SELECT * FROM pgr_TRSP( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 0.5, 1, 0.8, true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); seq | id1 | id2 | cost -----+-----+-----+------ 0 | -1 | 1 | 0.3 (1 row) /* --place15 */ SELECT * FROM pgr_TRSP( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 0.5, 1, 0.5, true, true ); seq | id1 | id2 | cost -----+-----+-----+------ 0 | -1 | 1 | 0 1 | -2 | -1 | 0 (2 rows) /* --place16 */ SELECT * FROM pgr_TRSP( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 0.5, 1, 0.5, true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); seq | id1 | id2 | cost -----+-----+-----+------ 0 | -1 | 1 | 0 (1 row) /* --place17 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table$$, 1, 0.5, 1, 0.8, false, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); ERROR: Error, reverse_cost is used, but query did't return 'reverse_cost' column CONTEXT: PL/pgSQL function pgr_trsp(text,integer,double precision,integer,double precision,boolean,boolean,text) line 36 at RAISE /* --place18 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 0.5, 1, 0.8, false, false, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); seq | id1 | id2 | cost -----+-----+-----+------ 0 | -1 | 1 | 0.3 (1 row) /* --place19 */ SELECT * FROM pointsOfInterest; pid | x | y | edge_id | side | fraction | the_geom | newpoint -----+-----+-----+---------+------+----------+--------------------------------------------+-------------------------------------------- 1 | 1.8 | 0.4 | 1 | l | 0.4 | 0101000000CDCCCCCCCCCCFC3F9A9999999999D93F | 010100000000000000000000409A9999999999D93F 2 | 4.2 | 2.4 | 15 | r | 0.4 | 0101000000CDCCCCCCCCCC10403333333333330340 | 010100000000000000000010403333333333330340 3 | 2.6 | 3.2 | 12 | l | 0.6 | 0101000000CDCCCCCCCCCC04409A99999999990940 | 0101000000CDCCCCCCCCCC04400000000000000840 4 | 0.3 | 1.8 | 6 | r | 0.3 | 0101000000333333333333D33FCDCCCCCCCCCCFC3F | 0101000000333333333333D33F0000000000000040 5 | 2.9 | 1.8 | 5 | l | 0.8 | 01010000003333333333330740CDCCCCCCCCCCFC3F | 01010000000000000000000840CDCCCCCCCCCCFC3F 6 | 2.2 | 1.7 | 4 | b | 0.7 | 01010000009A99999999990140333333333333FB3F | 01010000000000000000000040333333333333FB3F (6 rows) /* --place20 */ SELECT * FROM pgr_TRSP( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 1), (SELECT fraction FROM pointsOfInterest WHERE pid = 1), (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 6), (SELECT fraction FROM pointsOfInterest WHERE pid = 6), true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); seq | id1 | id2 | cost -----+-----+-----+------ 0 | -1 | 1 | 0.6 1 | 2 | 4 | 0.7 (2 rows) /* --place21 */ SELECT * FROM pgr_withPoints( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, $$SELECT pid, edge_id, fraction FROM pointsOfInterest$$, -1, -6 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | -1 | 1 | 0.6 | 0 2 | 2 | 2 | 4 | 0.7 | 0.6 3 | 3 | -6 | -1 | 0 | 1.3 (3 rows) /* --place22 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 8, 1, (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 1), (SELECT fraction FROM pointsOfInterest WHERE pid = 1), true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); seq | id1 | id2 | cost -----+-----+-----+------ 0 | 6 | 8 | 1 1 | 5 | 4 | 1 2 | 2 | 1 | 0.6 (3 rows) /* --place23 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 11, 0, (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 1), (SELECT fraction FROM pointsOfInterest WHERE pid = 1), true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); seq | id1 | id2 | cost -----+-----+-----+------ 0 | 6 | 8 | 1 1 | 5 | 4 | 1 2 | 2 | 1 | 0.6 (3 rows) /* --place24 */ SELECT * FROM pgr_withPoints( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, $$SELECT pid, edge_id, fraction FROM pointsOfInterest$$, 6, -1 ); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | 6 | 8 | 1 | 0 2 | 2 | 5 | 4 | 1 | 1 3 | 3 | 2 | 1 | 0.6 | 2 4 | 4 | -1 | -1 | 0 | 2.6 (4 rows) /* --place25 */ SET LOG_ERROR_VERBOSITY TO terse; SET SELECT * FROM _pgr_trspViaVertices( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[1, 15, 2], false, true ); ERROR: Restrictions Missing CONTEXT: PL/pgSQL function _pgr_trspviavertices(text,integer[],boolean,boolean,text) line 14 at RAISE SET LOG_ERROR_VERBOSITY TO terse; SET SELECT * FROM pgr_trspViaVertices( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[2, 3, 2], false, true ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | 2 | 2 | 1 2 | 2 | 3 | 2 | 1 3 | 2 | 2 | -1 | 0 (3 rows) SELECT * FROM pgr_dijkstraVia( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[2, 3, 2], false ); seq | path_id | path_seq | start_vid | end_vid | node | edge | cost | agg_cost | route_agg_cost -----+---------+----------+-----------+---------+------+------+------+----------+---------------- 1 | 1 | 1 | 2 | 3 | 2 | 2 | 1 | 0 | 0 2 | 1 | 2 | 2 | 3 | 3 | -1 | 0 | 1 | 1 3 | 2 | 1 | 3 | 2 | 3 | 2 | 1 | 0 | 1 4 | 2 | 2 | 3 | 2 | 2 | -2 | 0 | 1 | 2 (4 rows) SELECT * FROM pgr_TRSPViaVertices( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[1, 1, 2], false, true ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ (0 rows) SELECT * FROM pgr_trspViaVertices( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[1, 1, 2], false, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | 1 | 1 | 1 2 | 1 | 2 | 4 | 1 3 | 1 | 5 | 8 | 1 4 | 1 | 6 | 5 | 1 5 | 1 | 3 | 2 | 1 6 | 1 | 2 | 1 | 1 7 | 2 | 1 | 1 | 1 8 | 2 | 2 | -1 | 0 (8 rows) SELECT * FROM pgr_trspViaEdges( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[1, 2, 1], ARRAY[0.1,0.5,0.5], false, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 1 | 0.9 2 | 1 | 2 | 4 | 1 3 | 1 | 5 | 8 | 1 4 | 1 | 6 | 9 | 1 5 | 1 | 9 | 16 | 1 6 | 1 | 4 | 3 | 1 7 | 1 | 3 | 2 | 1 8 | 2 | 2 | 1 | 0.5 (8 rows) SELECT * FROM _pgr_withPointsVia( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[1, 2, 1], ARRAY[0.1,0.5,0.5], directed := false ); seq | path_id | path_seq | start_vid | end_vid | node | edge | cost | agg_cost | route_agg_cost -----+---------+----------+-----------+---------+------+------+------+----------+---------------- 1 | 1 | 1 | -1 | -2 | -1 | 1 | 0.1 | 0 | 0 2 | 1 | 2 | -1 | -2 | 2 | 2 | 0.5 | 0.1 | 0.1 3 | 1 | 3 | -1 | -2 | -2 | -1 | 0 | 0.6 | 0.6 4 | 2 | 1 | -2 | -3 | -2 | 2 | 0.5 | 0 | 0.6 5 | 2 | 2 | -2 | -3 | 2 | 1 | 0.5 | 0.5 | 1.1 6 | 2 | 3 | -2 | -3 | -3 | -2 | 0 | 1 | 1.6 (6 rows) SELECT * FROM pgr_trspViaEdges( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[1, 17, 1], ARRAY[0,0.5,0.5], false, true ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | | | | (1 row) SELECT * FROM pgr_trspViaEdges( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[1, 17, 1], ARRAY[0.1,0.5,0.5], false, true ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ (0 rows) SELECT * FROM pgr_trspViaEdges( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[ (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 1), (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 3), (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 6)], ARRAY[ (SELECT fraction FROM pointsOfInterest WHERE pid = 1), (SELECT fraction FROM pointsOfInterest WHERE pid = 3), (SELECT fraction FROM pointsOfInterest WHERE pid = 6)], false, true ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 1 | 0.4 2 | 1 | 2 | 4 | 0.3 3 | 1 | -3 | 4 | 0.3 4 | 1 | 5 | 10 | 1 5 | 1 | 10 | 12 | 0.6 6 | 1 | -2 | -1 | 0 7 | 2 | -2 | 12 | 0.6 8 | 2 | 10 | 10 | 1 9 | 2 | 5 | 4 | 0.3 10 | 2 | -3 | -2 | 0 (10 rows) SELECT * FROM pgr_trspViaEdges( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[ (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 1), (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 3), (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 6)], ARRAY[ (SELECT fraction FROM pointsOfInterest WHERE pid = 1), (SELECT fraction FROM pointsOfInterest WHERE pid = 3), (SELECT fraction FROM pointsOfInterest WHERE pid = 6)], false, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 1 | 0.6 2 | 1 | 2 | 4 | 1 3 | 1 | 5 | 10 | 1 4 | 1 | 10 | 12 | 1 5 | 2 | 11 | 13 | 1 6 | 2 | 12 | 15 | 1 7 | 2 | 9 | 9 | 1 8 | 2 | 6 | 8 | 1 9 | 2 | 5 | 4 | 0.3 (9 rows) SELECT * FROM pgr_trspViaEdges( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[ (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 1), (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 3), 11], ARRAY[ (SELECT fraction FROM pointsOfInterest WHERE pid = 1), (SELECT fraction FROM pointsOfInterest WHERE pid = 3), 0], false, true ); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 1 | 0.6 2 | 1 | 2 | 4 | 1 3 | 1 | 5 | 10 | 1 4 | 1 | 10 | 12 | 0.6 5 | 2 | -1 | 12 | 0.4 6 | 2 | 11 | 11 | 1 7 | 2 | 6 | -1 | 0 (7 rows) set LOG_ERROR_VERBOSITY TO default; SET BEGIN; BEGIN ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/trsp/trsp_notes.test.sql000066400000000000000000000325571414350551100226000ustar00rootroot00000000000000ROLLBACK; set LOG_ERROR_VERBOSITY TO terse; SET extra_float_digits=-3; /* --place1 */ SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path; /* --place2 */ SELECT 1 AS id, 100::float AS cost, 25::INTEGER AS target_id, ARRAY[33, 32, 25] AS path; /* --place3 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 15, true, true ); /* --place4 */ SELECT * FROM pgr_dijkstra( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 15 ); /* --place5 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 15, true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); /* --place6 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 1, true, true ); /* --place7 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 14, 14, true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); /* --place8 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 1, true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); /* --place9 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table$$, 2, 3, false, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); /* --place10 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 2, 3, false, false, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); /* --place11 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 0.5, 17, 0.5, true, true ); /* --place12 */ SELECT * FROM _pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 0.5, 17, 0.5, true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); /* --place13 */ SELECT * FROM pgr_TRSP( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 0.5, 1, 0.8, true, true ); /* --place14 */ SELECT * FROM pgr_TRSP( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 0.5, 1, 0.8, true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); /* --place15 */ SELECT * FROM pgr_TRSP( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 0.5, 1, 0.5, true, true ); /* --place16 */ SELECT * FROM pgr_TRSP( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 0.5, 1, 0.5, true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); /* --place17 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost FROM edge_table$$, 1, 0.5, 1, 0.8, false, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); /* --place18 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 1, 0.5, 1, 0.8, false, false, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); /* --place19 */ -- using a points of interest table SELECT * FROM pointsOfInterest; /* --place20 */ SELECT * FROM pgr_TRSP( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 1), (SELECT fraction FROM pointsOfInterest WHERE pid = 1), (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 6), (SELECT fraction FROM pointsOfInterest WHERE pid = 6), true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); /* --place21 */ SELECT * FROM pgr_withPoints( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, $$SELECT pid, edge_id, fraction FROM pointsOfInterest$$, -1, -6 ); -- vertex to point /* --place22 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 8, 1, (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 1), (SELECT fraction FROM pointsOfInterest WHERE pid = 1), true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); /* --place23 */ SELECT * FROM pgr_trsp( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, 11, 0, (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 1), (SELECT fraction FROM pointsOfInterest WHERE pid = 1), true, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); /* --place24 */ SELECT * FROM pgr_withPoints( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, $$SELECT pid, edge_id, fraction FROM pointsOfInterest$$, 6, -1 ); /* --place25 */ -- # pgr_trspViaVertices ------------------ -- ## pgr_trspViaVertices No path representation differences -- pgr_trspViaVertices uses: -- "* When there are restrictions: `_pgr_trsp(one to one)`" -- "* When there are no restrictions: `pgr_dijkstraVia`" -- **PLEASE: Use pgr_dijstraVia when there are no restrictions** -- Representation of **no path found**: -- "* Sometimes represents with Error a no path found" -- "* Sometimes represents with EMPTY SET when no path found" -- "* Forcing the user to use the wrapper or the replacement function" -- Calls to the original function of is no longer allowed without restrictions -- '\`\`\`' SET LOG_ERROR_VERBOSITY TO terse; SELECT * FROM _pgr_trspViaVertices( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[1, 15, 2], false, true ); SET LOG_ERROR_VERBOSITY TO terse; -- '\`\`\`' -- Calls to the wrapper function allowed without restrictions -- '\`\`\`' SELECT * FROM pgr_trspViaVertices( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[2, 3, 2], false, true ); -- '\`\`\`' -- But it uses pgr_dijkstraVia that gives more information on the result -- '\`\`\`' SELECT * FROM pgr_dijkstraVia( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[2, 3, 2], false ); -- '\`\`\`' -- ## when a path does not exist on the route -- pgr_TRSPViaVertices gives different results even if restrictions are nt involved on the -- shortest path(s) when restrictions are used VS when restrictions are not used: -- Because there is no path from 1 to 1 then there is no complete route 1 to 1 to 2 -- therefore the expected result is EMPTY SET to represent no route was found -- "* without restrictions" -- '\`\`\`' SELECT * FROM pgr_TRSPViaVertices( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[1, 1, 2], false, true ); -- '\`\`\`' -- "* with restrictions" -- Restrictions on the wrapper function, is the last parameter and its the old style: -- '\`\`\`' SELECT * FROM pgr_trspViaVertices( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[1, 1, 2], false, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); -- '\`\`\`' --------------------------------------------------------------- -- # pgr_trspViaEdges ------------------ -- *pgr_trspViaEdges* will use the original code when -- * There are restrictions -- * A point is a vertex in disguise (with pcts value of 0) -- What it returns -- * Error to represent no route -- * the points are renumbered to -1, -2 .. -N -- * if a point is part of a path it will **not** show on the path -- Exaple execution -- '\`\`\`' SELECT * FROM pgr_trspViaEdges( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[1, 2, 1], ARRAY[0.1,0.5,0.5], false, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); -- '\`\`\`' -- A temporay wraper function is used when: -- * There are no restrictions -- * Before: No point is a vertex in disguise (with pcts value of 0) -- * Now: c$Undefined behaviour when a point is a vertex in disguise (with pcts value of 0) -- Internaly: -- * builds a new graph and calls pgr_dijkstraVia -- What it returns -- * returns EMPTY SET to represent no route -- * edge = -1 in the result to represent the end of a intermediate path -- * edge = -2 in the result to represent the end of the last path & route -- * the points are renumbered to -1, -2 .. -N -- * if a point is part of a path it will show on the path -- Note: I do not mention the wrapper name due to the fact that this is not official documentation -- Note: I will use *_pgr_withPointsVia* as the wrapper name just for sake of this notes -- Example excution -- '\`\`\`' SELECT * FROM _pgr_withPointsVia( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[1, 2, 1], ARRAY[0.1,0.5,0.5], directed := false ); -- '\`\`\`' -- ## pgr_trspViaEdges No path representation differences ---------------- -- This example no path is found (edge 17 is disconnected) from the big graph. -- * There is a vertex in disguise (fraction 0 or 1) -- * Undefined behaviour -- '\`\`\`' SELECT * FROM pgr_trspViaEdges( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[1, 17, 1], ARRAY[0,0.5,0.5], false, true ); -- '\`\`\`' -- This example no path is found (edge 17 is disconnected) from the big graph. -- * Has a restriction -- * *pgr_trspViaEdges* original code is used -- * throws error to represent no route was not found -- '\`\`\`' -- SELECT * FROM pgr_trspViaEdges( -- $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, -- ARRAY[1, 17, 1], ARRAY[0.5,0.5,0.5], -- false, true, -- $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ -- ); -- server closed the connection unexpectedly -- This probably means the server terminated abnormally -- before or while processing the request. -- The connection to the server was lost. Attempting reset: Failed. -- '\`\`\`' -- This example no path is found (edge 17 is disconnected) from the big graph. -- * *_pgr_withPointsVia* is used -- * returns EMPTY SET to represent no route -- '\`\`\`' SELECT * FROM pgr_trspViaEdges( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[1, 17, 1], ARRAY[0.1,0.5,0.5], false, true ); -- '\`\`\`' ---------------- -- ## (pgr_trspViaEdges) Using the pointsOfInterest table -- Only routing points -- when *_pgr_withPointsVia* is used -- * the renumbering still takes place -- '\`\`\`' SELECT * FROM pgr_trspViaEdges( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[ (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 1), (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 3), (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 6)], ARRAY[ (SELECT fraction FROM pointsOfInterest WHERE pid = 1), (SELECT fraction FROM pointsOfInterest WHERE pid = 3), (SELECT fraction FROM pointsOfInterest WHERE pid = 6)], false, true ); -- '\`\`\`' -- Only routing points -- when originalcode is used (because there is a restriction) -- '\`\`\`' SELECT * FROM pgr_trspViaEdges( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[ (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 1), (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 3), (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 6)], ARRAY[ (SELECT fraction FROM pointsOfInterest WHERE pid = 1), (SELECT fraction FROM pointsOfInterest WHERE pid = 3), (SELECT fraction FROM pointsOfInterest WHERE pid = 6)], false, true, $$SELECT 100::float AS to_cost, 25::INTEGER AS target_id, '32, 33'::TEXT AS via_path$$ ); -- '\`\`\`' -- Routing points & vertices -- * vertex 6 is on edge 11 with fraction 0 -- * Undefined behavior -- '\`\`\`' SELECT * FROM pgr_trspViaEdges( $$SELECT id::INTEGER, source::INTEGER, target::INTEGER, cost, reverse_cost FROM edge_table$$, ARRAY[ (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 1), (SELECT edge_id::INTEGER FROM pointsOfInterest WHERE pid = 3), 11], ARRAY[ (SELECT fraction FROM pointsOfInterest WHERE pid = 1), (SELECT fraction FROM pointsOfInterest WHERE pid = 3), 0], false, true ); -- '\`\`\`' set LOG_ERROR_VERBOSITY TO default; BEGIN; pgrouting-3.3.0/docqueries/trsp/trsp_vias-any-04.result000066400000000000000000000106431414350551100231510ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /*PGR-GNU***************************************************************** Copyright (c) 2015 pgRouting developers Mail: project@pgrouting.org ------ This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License AS published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ********************************************************************PGR-GNU*/ SELECT * FROM pgr_trspViaVertices( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER,cost, reverse_cost FROM edge_table', ARRAY[2, 7, 11]::INTEGER[], true, true, 'SELECT to_cost, target_id::INTEGER, from_edge||coalesce('',''||via_path,'''') AS via_path FROM restrictions'); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | 2 | 4 | 1 2 | 1 | 5 | 8 | 1 3 | 1 | 6 | 9 | 1 4 | 1 | 9 | 16 | 1 5 | 1 | 4 | 3 | 1 6 | 1 | 3 | 5 | 1 7 | 1 | 6 | 8 | 1 8 | 1 | 5 | 7 | 1 9 | 1 | 8 | 6 | 1 10 | 2 | 7 | 6 | 1 11 | 2 | 8 | 7 | 1 12 | 2 | 5 | 8 | 1 13 | 2 | 6 | 9 | 1 14 | 2 | 9 | 16 | 1 15 | 2 | 4 | 3 | 1 16 | 2 | 3 | 5 | 1 17 | 2 | 6 | 11 | 1 18 | 2 | 11 | -1 | 0 (18 rows) SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER,cost, reverse_cost FROM edge_table', ARRAY[4,6,11]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::float8[], true, true, 'SELECT to_cost, target_id::INTEGER, from_edge||coalesce('',''||via_path,'''') AS via_path FROM restrictions'); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 4 | 0.5 2 | 1 | 5 | 8 | 1 3 | 1 | 6 | 9 | 1 4 | 1 | 9 | 16 | 1 5 | 1 | 4 | 3 | 1 6 | 1 | 3 | 5 | 1 7 | 1 | 6 | 8 | 1 8 | 1 | 5 | 7 | 1 9 | 1 | 8 | 6 | 1 10 | 2 | 8 | 7 | 1 11 | 2 | 5 | 8 | 1 12 | 2 | 6 | 9 | 1 13 | 2 | 9 | 16 | 1 14 | 2 | 4 | 3 | 1 15 | 2 | 3 | 5 | 1 16 | 2 | 6 | 11 | 0.5 (16 rows) SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER,cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::float8[], true, true, 'SELECT to_cost, target_id::INTEGER, from_edge||coalesce('',''||via_path,'''') AS via_path FROM restrictions'); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 1 | 0.5 2 | 1 | 2 | 4 | 1 3 | 1 | 5 | 8 | 1 4 | 1 | 6 | 9 | 1 5 | 1 | 9 | 16 | 1 6 | 1 | 4 | 3 | 1 7 | 1 | 3 | 5 | 1 8 | 1 | 6 | 11 | 1 9 | 2 | 11 | 13 | 1 10 | 2 | 12 | 15 | 1 11 | 2 | 9 | 9 | 1 12 | 2 | 6 | 8 | 1 13 | 2 | 5 | 7 | 1 14 | 2 | 8 | 6 | 0.5 (14 rows) SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER,cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], ARRAY[0.5, 0.5, 0.5]::float8[], true, true, 'SELECT to_cost, target_id::INTEGER, from_edge||coalesce('',''||via_path,'''') AS via_path FROM restrictions'); seq | id1 | id2 | id3 | cost -----+-----+-----+-----+------ 1 | 1 | -1 | 1 | 0.5 2 | 1 | 2 | 4 | 1 3 | 1 | 5 | 8 | 1 4 | 1 | 6 | 9 | 1 5 | 1 | 9 | 16 | 1 6 | 1 | 4 | 3 | 1 7 | 1 | 3 | 5 | 1 8 | 1 | 6 | 11 | 1 9 | 2 | 11 | 13 | 1 10 | 2 | 12 | 15 | 1 11 | 2 | 9 | 9 | 1 12 | 2 | 6 | 8 | 1 13 | 2 | 5 | 7 | 1 14 | 2 | 8 | 6 | 0.5 (14 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/trsp/trsp_vias-any-04.test.sql000066400000000000000000000053651414350551100234150ustar00rootroot00000000000000/*PGR-GNU***************************************************************** Copyright (c) 2015 pgRouting developers Mail: project@pgrouting.org ------ This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License AS published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. ********************************************************************PGR-GNU*/ SELECT * FROM pgr_trspViaVertices( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER,cost, reverse_cost FROM edge_table', ARRAY[2, 7, 11]::INTEGER[], -- array of vids true, -- directed graph? true, -- has_reverse_cost? -- include the turn restrictions 'SELECT to_cost, target_id::INTEGER, from_edge||coalesce('',''||via_path,'''') AS via_path FROM restrictions'); SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER,cost, reverse_cost FROM edge_table', ARRAY[4,6,11]::INTEGER[], -- array of eids ARRAY[0.5, 0.5, 0.5]::float8[], -- array of pcts true, -- directed graph? true, -- has_reverse_cost? -- include the turn restrictions 'SELECT to_cost, target_id::INTEGER, from_edge||coalesce('',''||via_path,'''') AS via_path FROM restrictions'); SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER,cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], -- array of eids ARRAY[0.5, 0.5, 0.5]::float8[], -- array of pcts true, -- directed graph? true, -- has_reverse_cost? -- include the turn restrictions 'SELECT to_cost, target_id::INTEGER, from_edge||coalesce('',''||via_path,'''') AS via_path FROM restrictions'); SELECT * FROM pgr_trspViaEdges( 'SELECT id::INTEGER, source::INTEGER, target::INTEGER,cost, reverse_cost FROM edge_table', ARRAY[1,11,6]::INTEGER[], -- array of eids ARRAY[0.5, 0.5, 0.5]::float8[], -- array of pcts true, -- directed graph? true, -- has_reverse_cost? -- include the turn restrictions 'SELECT to_cost, target_id::INTEGER, from_edge||coalesce('',''||via_path,'''') AS via_path FROM restrictions'); pgrouting-3.3.0/docqueries/tsp/000077500000000000000000000000001414350551100165035ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/tsp/CMakeLists.txt000066400000000000000000000006721414350551100212500ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_TSPeuclidean doc-pgr_TSP ) configure_file("wi29.sql" "${PGR_DOCUMENTATION_SOURCE_DIR}/wi29.queries") foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/tsp/doc-pgr_TSP.result000066400000000000000000000057461414350551100220400ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SET extra_float_digits=-3; SET SET client_min_messages TO WARNING; SET /* -- q1 */ SELECT * FROM pgr_TSP( $$ SELECT * FROM pgr_dijkstraCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 14), directed => false) $$); seq | node | cost | agg_cost -----+------+------+---------- 1 | 1 | 0 | 0 2 | 2 | 1 | 1 3 | 3 | 1 | 2 4 | 4 | 1 | 3 5 | 9 | 1 | 4 6 | 12 | 1 | 5 7 | 6 | 2 | 7 8 | 5 | 1 | 8 9 | 8 | 1 | 9 10 | 7 | 1 | 10 11 | 10 | 3 | 13 12 | 11 | 1 | 14 13 | 13 | 2 | 16 14 | 1 | 4 | 20 (14 rows) /* -- q2 */ SELECT * FROM pgr_TSP( $$ SELECT * FROM pgr_dijkstraCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 14), directed => false ) $$, start_id => 7 ); seq | node | cost | agg_cost -----+------+------+---------- 1 | 7 | 0 | 0 2 | 8 | 1 | 1 3 | 5 | 1 | 2 4 | 2 | 1 | 3 5 | 1 | 1 | 4 6 | 3 | 2 | 6 7 | 4 | 1 | 7 8 | 9 | 1 | 8 9 | 12 | 1 | 9 10 | 11 | 1 | 10 11 | 6 | 1 | 11 12 | 10 | 2 | 13 13 | 13 | 1 | 14 14 | 7 | 4 | 18 (14 rows) /* -- q3 */ SELECT * FROM pgr_TSP( $$ SELECT * FROM pgr_withPointsCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction from pointsOfInterest', array[-1, 3, 5, 6, -6], directed => true) $$, start_id => 5, end_id => 6 ); seq | node | cost | agg_cost -----+------+------+---------- 1 | 5 | 0 | 0 2 | -6 | 0.3 | 0.3 3 | -1 | 1.3 | 1.6 4 | 3 | 1.6 | 3.2 5 | 6 | 1 | 4.2 6 | 5 | 1 | 5.2 (6 rows) /* -- q4 */ SELECT source AS start_vid, target AS end_vid, 1 AS agg_cost FROM edge_table WHERE id IN (2,4,5,8, 9, 15); start_vid | end_vid | agg_cost -----------+---------+---------- 2 | 3 | 1 2 | 5 | 1 3 | 6 | 1 5 | 6 | 1 6 | 9 | 1 9 | 12 | 1 (6 rows) /* -- q5 */ SELECT * FROM pgr_TSP( $$ SELECT source AS start_vid, target AS end_vid, 1 AS agg_cost FROM edge_table WHERE id IN (2,4,5,8,9,15) $$); seq | node | cost | agg_cost -----+------+------+---------- 1 | 2 | 0 | 0 2 | 3 | 1 | 1 3 | 6 | 1 | 2 4 | 12 | 1 | 3 5 | 9 | 1 | 4 6 | 5 | 1 | 5 7 | 2 | 1 | 6 (7 rows) /* -- q6 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/tsp/doc-pgr_TSP.test.sql000066400000000000000000000022411414350551100222620ustar00rootroot00000000000000SET extra_float_digits=-3; SET client_min_messages TO WARNING; /* -- q1 */ SELECT * FROM pgr_TSP( $$ SELECT * FROM pgr_dijkstraCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 14), directed => false) $$); /* -- q2 */ SELECT * FROM pgr_TSP( $$ SELECT * FROM pgr_dijkstraCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table', (SELECT array_agg(id) FROM edge_table_vertices_pgr WHERE id < 14), directed => false ) $$, start_id => 7 ); /* -- q3 */ SELECT * FROM pgr_TSP( $$ SELECT * FROM pgr_withPointsCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction from pointsOfInterest', array[-1, 3, 5, 6, -6], directed => true) $$, start_id => 5, end_id => 6 ); /* -- q4 */ SELECT source AS start_vid, target AS end_vid, 1 AS agg_cost FROM edge_table WHERE id IN (2,4,5,8, 9, 15); /* -- q5 */ SELECT * FROM pgr_TSP( $$ SELECT source AS start_vid, target AS end_vid, 1 AS agg_cost FROM edge_table WHERE id IN (2,4,5,8,9,15) $$); /* -- q6 */ pgrouting-3.3.0/docqueries/tsp/doc-pgr_TSPeuclidean.result000066400000000000000000000152161414350551100237030ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SET log_min_duration_statement=-1; SET SET extra_float_digits=-3; SET SET client_min_messages TO WARNING; SET /* -- q1 */ SELECT * FROM pgr_TSPeuclidean( $$ SELECT id, st_X(the_geom) AS x, st_Y(the_geom)AS y FROM edge_table_vertices_pgr $$); seq | node | cost | agg_cost -----+------+----------------+--------------- 1 | 1 | 0 | 0 2 | 2 | 1 | 1 3 | 8 | 1.41421356237 | 2.41421356237 4 | 7 | 1 | 3.41421356237 5 | 14 | 1.58113883008 | 4.99535239246 6 | 15 | 1.5 | 6.49535239246 7 | 13 | 0.5 | 6.99535239246 8 | 17 | 1.5 | 8.49535239246 9 | 12 | 1.11803398875 | 9.61338638121 10 | 9 | 1 | 10.6133863812 11 | 16 | 0.583095189485 | 11.1964815707 12 | 6 | 0.583095189485 | 11.7795767602 13 | 11 | 1 | 12.7795767602 14 | 10 | 1 | 13.7795767602 15 | 5 | 1 | 14.7795767602 16 | 4 | 2.2360679775 | 17.0156447377 17 | 3 | 1 | 18.0156447377 18 | 1 | 1.41421356237 | 19.4298583 (18 rows) /* -- q2 */ SELECT * FROM pgr_TSPeuclidean($$SELECT * FROM wi29$$) WHERE seq = 30; seq | node | cost | agg_cost -----+------+---------------+--------------- 30 | 1 | 2266.91173136 | 28777.4854127 (1 row) /* -- q3 */ WITH tsp_results AS (SELECT seq, geom FROM pgr_TSPeuclidean($$SELECT * FROM wi29$$) JOIN wi29 ON (node = id)) SELECT ST_MakeLine(ARRAY(SELECT geom FROM tsp_results ORDER BY seq)); st_makeline -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 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 (1 row) /* -- q4 */ SELECT 1 AS gid, ST_MakeLine(ARRAY( SELECT geom FROM unnest(array[1,2,6,10,11,12,15,19,18,17,21,22,23,29,28,26,20,25,27,24,16,14,13,9,7,3,4,8,5,1]) JOIN wi29 ON (unnest = id))); gid | st_makeline -----+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 1 |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row) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/tsp/doc-pgr_TSPeuclidean.test.sql000066400000000000000000000014451414350551100241410ustar00rootroot00000000000000SET log_min_duration_statement=-1; SET extra_float_digits=-3; SET client_min_messages TO WARNING; /* -- q1 */ SELECT * FROM pgr_TSPeuclidean( $$ SELECT id, st_X(the_geom) AS x, st_Y(the_geom)AS y FROM edge_table_vertices_pgr $$); /* -- q2 */ SELECT * FROM pgr_TSPeuclidean($$SELECT * FROM wi29$$) WHERE seq = 30; /* -- q3 */ WITH tsp_results AS (SELECT seq, geom FROM pgr_TSPeuclidean($$SELECT * FROM wi29$$) JOIN wi29 ON (node = id)) SELECT ST_MakeLine(ARRAY(SELECT geom FROM tsp_results ORDER BY seq)); /* -- q4 */ -- This query is used to create the optimal solution image visually deduced the ordering SELECT 1 AS gid, ST_MakeLine(ARRAY( SELECT geom FROM unnest(array[1,2,6,10,11,12,15,19,18,17,21,22,23,29,28,26,20,25,27,24,16,14,13,9,7,3,4,8,5,1]) JOIN wi29 ON (unnest = id))); pgrouting-3.3.0/docqueries/tsp/test.conf000066400000000000000000000005151414350551100203320ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'TSP tests', 'data' => ['wi29.sql'], 'tests' => [qw( doc-pgr_TSPeuclidean doc-pgr_TSP )], 'documentation' => [qw( doc-pgr_TSPeuclidean doc-pgr_TSP )] }, ); 1; pgrouting-3.3.0/docqueries/tsp/wi29.sql000066400000000000000000000022401414350551100200140ustar00rootroot00000000000000-- NAME : wi29 -- COMMENT : 29 locations in Western Sahara -- COMMENT : Derived from National Imagery and Mapping Agency data -- TYPE : TSP -- DIMENSION : 29 -- EDGE_WEIGHT_TYPE : EUC_2D DROP TABLE IF EXISTS wi29; -- data start CREATE TABLE wi29 (id BIGINT, x FLOAT, y FLOAT, geom geometry); INSERT INTO wi29 (id, x, y) VALUES (1,20833.3333,17100.0000), (2,20900.0000,17066.6667), (3,21300.0000,13016.6667), (4,21600.0000,14150.0000), (5,21600.0000,14966.6667), (6,21600.0000,16500.0000), (7,22183.3333,13133.3333), (8,22583.3333,14300.0000), (9,22683.3333,12716.6667), (10,23616.6667,15866.6667), (11,23700.0000,15933.3333), (12,23883.3333,14533.3333), (13,24166.6667,13250.0000), (14,25149.1667,12365.8333), (15,26133.3333,14500.0000), (16,26150.0000,10550.0000), (17,26283.3333,12766.6667), (18,26433.3333,13433.3333), (19,26550.0000,13850.0000), (20,26733.3333,11683.3333), (21,27026.1111,13051.9444), (22,27096.1111,13415.8333), (23,27153.6111,13203.3333), (24,27166.6667,9833.3333), (25,27233.3333,10450.0000), (26,27233.3333,11783.3333), (27,27266.6667,10383.3333), (28,27433.3333,12400.0000), (29,27462.5000,12992.2222); -- data end UPDATE wi29 SET geom = ST_makePoint(x,y); pgrouting-3.3.0/docqueries/version/000077500000000000000000000000001414350551100173625ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/version/CMakeLists.txt000066400000000000000000000005531414350551100221250ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-version doc-full_version ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/version/doc-full_version.result000066400000000000000000000003471414350551100241000ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT version, library FROM pgr_full_version(); version | library ---------+----------------- 3.3.0 | pgrouting-3.3.0 (1 row) /* -- q2 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/version/doc-full_version.test.sql000066400000000000000000000004121414350551100243300ustar00rootroot00000000000000 -------------------------------------------------------------------------------- -- pgr_version -------------------------------------------------------------------------------- /* -- q1 */ SELECT version, library FROM pgr_full_version(); /* -- q2 */ pgrouting-3.3.0/docqueries/version/doc-version.result000066400000000000000000000002401414350551100230460ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET /* -- q1 */ SELECT pgr_version(); pgr_version ------------- 3.3.0 (1 row) /* -- q2 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/version/doc-version.test.sql000066400000000000000000000003571414350551100233160ustar00rootroot00000000000000 -------------------------------------------------------------------------------- -- pgr_version -------------------------------------------------------------------------------- /* -- q1 */ SELECT pgr_version(); /* -- q2 */ pgrouting-3.3.0/docqueries/version/test.conf000066400000000000000000000007101414350551100212060ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'pgr_createTopology, pgr_analyzegraph, and pgr_analyzeOneway tests for any versions.', 'data' => ['sampledata.data'], 'tests' => [qw( doc-version doc-full_version )], 'documentation' => [qw( doc-version doc-full_version )], 'dummyStorage' => [qw( )] }, ); 1; pgrouting-3.3.0/docqueries/vrp_basic/000077500000000000000000000000001414350551100176455ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/vrp_basic/CMakeLists.txt000066400000000000000000000005361414350551100224110ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_vrpOneDepot ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/vrp_basic/doc-pgr_vrpOneDepot.result000066400000000000000000000025211414350551100247650ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SELECT * FROM pgr_vrpOneDepot( 'SELECT * FROM solomon_100_RC_101', 'SELECT * FROM vrp_vehicles', 'SELECT * FROM vrp_distance', 1); oid | opos | vid | tarrival | tdepart -----+------+-----+----------+--------- -1 | 1 | 1 | 0 | 0 7 | 2 | 1 | 0 | 0 9 | 3 | 1 | 0 | 0 8 | 4 | 1 | 0 | 0 6 | 5 | 1 | 0 | 0 5 | 6 | 1 | 0 | 0 4 | 7 | 1 | 0 | 0 2 | 8 | 1 | 0 | 0 6 | 9 | 1 | 40 | 51 8 | 10 | 1 | 62 | 89 9 | 11 | 1 | 94 | 104 7 | 12 | 1 | 110 | 120 4 | 13 | 1 | 131 | 141 2 | 14 | 1 | 144 | 155 5 | 15 | 1 | 162 | 172 -1 | 16 | 1 | 208 | 208 -1 | 1 | 2 | 0 | 0 10 | 2 | 2 | 0 | 0 11 | 3 | 2 | 0 | 0 10 | 4 | 2 | 34 | 101 11 | 5 | 2 | 106 | 129 -1 | 6 | 2 | 161 | 161 -1 | 1 | 3 | 0 | 0 3 | 2 | 3 | 0 | 0 3 | 3 | 3 | 31 | 60 -1 | 4 | 3 | 91 | 91 -1 | 0 | 0 | -1 | 460 (27 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/vrp_basic/doc-pgr_vrpOneDepot.test.sql000066400000000000000000000002241414350551100252220ustar00rootroot00000000000000 SELECT * FROM pgr_vrpOneDepot( 'SELECT * FROM solomon_100_RC_101', 'SELECT * FROM vrp_vehicles', 'SELECT * FROM vrp_distance', 1); pgrouting-3.3.0/docqueries/vrp_basic/oneDepotWrapper.result000066400000000000000000001116131414350551100242260ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SET extra_float_digits=-3; SET SELECT * FROM _pgr_vrpOneDepot( 'SELECT * FROM solomon_100_RC_101', 'SELECT * FROM vrp_vehicles', 'SELECT src_id AS start_vid, dest_id AS end_vid, traveltime AS agg_cost FROM vrp_distance', 1); seq | vehicle_seq | vehicle_id | stop_seq | stop_type | stop_id | order_id | cargo | travel_time | arrival_time | wait_time | service_time | departure_time -----+-------------+------------+----------+-----------+---------+----------+-------+-------------+--------------+------------+--------------+---------------- 1 | 1 | 1 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 2 | 1 | 1 | 2 | 2 | 1 | 46 | 10 | 0 | 0 | 0 | 0 | 0 3 | 1 | 1 | 3 | 2 | 1 | 47 | 20 | 0 | 0 | 0 | 0 | 0 4 | 1 | 1 | 4 | 2 | 1 | 9 | 30 | 0 | 0 | 0 | 0 | 0 5 | 1 | 1 | 5 | 2 | 1 | 101 | 33 | 0 | 0 | 0 | 0 | 0 6 | 1 | 1 | 6 | 2 | 1 | 71 | 56 | 0 | 0 | 0 | 0 | 0 7 | 1 | 1 | 7 | 2 | 1 | 8 | 76 | 0 | 0 | 0 | 0 | 0 8 | 1 | 1 | 8 | 2 | 1 | 6 | 96 | 0 | 0 | 0 | 0 | 0 9 | 1 | 1 | 9 | 2 | 1 | 5 | 136 | 0 | 0 | 0 | 0 | 0 10 | 1 | 1 | 10 | 2 | 1 | 4 | 146 | 0 | 0 | 0 | 0 | 0 11 | 1 | 1 | 11 | 2 | 1 | 2 | 166 | 0 | 0 | 0 | 0 | 0 12 | 1 | 1 | 12 | 3 | 6 | 6 | 146 | 40.311289 | 40.311289 | 0.688711 | 10 | 51 13 | 1 | 1 | 13 | 3 | 46 | 46 | 136 | 3 | 54 | 0 | 10 | 64 14 | 1 | 1 | 14 | 3 | 8 | 8 | 116 | 8.602325 | 72.602325 | 6.397675 | 10 | 89 15 | 1 | 1 | 15 | 3 | 9 | 9 | 106 | 5 | 94 | 0 | 10 | 104 16 | 1 | 1 | 16 | 3 | 47 | 47 | 96 | 3 | 107 | 6 | 10 | 123 17 | 1 | 1 | 17 | 3 | 4 | 4 | 86 | 6.403124 | 129.403124 | 0 | 10 | 139.403124 18 | 1 | 1 | 18 | 3 | 2 | 2 | 66 | 3 | 142.403124 | 2.596876 | 10 | 155 19 | 1 | 1 | 19 | 3 | 5 | 5 | 26 | 7.071068 | 162.071068 | 0 | 10 | 172.071068 20 | 1 | 1 | 20 | 3 | 71 | 71 | 3 | 18.601075 | 190.672143 | 0 | 10 | 200.672143 21 | 1 | 1 | 21 | 3 | 101 | 101 | 0 | 4.472136 | 205.144279 | 0 | 10 | 215.144279 22 | 1 | 1 | 22 | 6 | 1 | -1 | 0 | 19.235384 | 234.379663 | 0 | 0 | 234.379663 23 | 2 | 3 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 24 | 2 | 3 | 2 | 2 | 1 | 16 | 20 | 0 | 0 | 0 | 0 | 0 25 | 2 | 3 | 3 | 2 | 1 | 10 | 40 | 0 | 0 | 0 | 0 | 0 26 | 2 | 3 | 4 | 2 | 1 | 81 | 53 | 0 | 0 | 0 | 0 | 0 27 | 2 | 3 | 5 | 2 | 1 | 48 | 63 | 0 | 0 | 0 | 0 | 0 28 | 2 | 3 | 6 | 2 | 1 | 15 | 73 | 0 | 0 | 0 | 0 | 0 29 | 2 | 3 | 7 | 2 | 1 | 14 | 83 | 0 | 0 | 0 | 0 | 0 30 | 2 | 3 | 8 | 2 | 1 | 17 | 103 | 0 | 0 | 0 | 0 | 0 31 | 2 | 3 | 9 | 2 | 1 | 11 | 133 | 0 | 0 | 0 | 0 | 0 32 | 2 | 3 | 10 | 2 | 1 | 18 | 153 | 0 | 0 | 0 | 0 | 0 33 | 2 | 3 | 11 | 3 | 15 | 15 | 143 | 35.355339 | 35.355339 | 0 | 10 | 45.355339 34 | 2 | 3 | 12 | 3 | 48 | 48 | 133 | 3 | 48.355339 | 0 | 10 | 58.355339 35 | 2 | 3 | 13 | 3 | 17 | 17 | 113 | 5.385165 | 63.740504 | 8.259496 | 10 | 82 36 | 2 | 3 | 14 | 3 | 16 | 16 | 93 | 2 | 84 | 0 | 10 | 94 37 | 2 | 3 | 15 | 3 | 10 | 10 | 73 | 9.433981 | 103.433981 | 0 | 10 | 113.433981 38 | 2 | 3 | 16 | 3 | 11 | 11 | 43 | 5 | 118.433981 | 0.566019 | 10 | 129 39 | 2 | 3 | 17 | 3 | 14 | 14 | 33 | 7.071068 | 136.071068 | 5.928932 | 10 | 152 40 | 2 | 3 | 18 | 3 | 18 | 18 | 13 | 11.18034 | 163.18034 | 0 | 10 | 173.18034 41 | 2 | 3 | 19 | 3 | 81 | 81 | 0 | 47.042534 | 220.222874 | 0 | 10 | 230.222874 42 | 2 | 3 | 20 | 6 | 1 | -1 | 0 | 7.615773 | 237.838647 | 0 | 0 | 237.838647 43 | 3 | 12 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 44 | 3 | 12 | 2 | 2 | 1 | 49 | 10 | 0 | 0 | 0 | 0 | 0 45 | 3 | 12 | 3 | 2 | 1 | 26 | 30 | 0 | 0 | 0 | 0 | 0 46 | 3 | 12 | 4 | 2 | 1 | 21 | 40 | 0 | 0 | 0 | 0 | 0 47 | 3 | 12 | 5 | 2 | 1 | 65 | 57 | 0 | 0 | 0 | 0 | 0 48 | 3 | 12 | 6 | 2 | 1 | 23 | 97 | 0 | 0 | 0 | 0 | 0 49 | 3 | 12 | 7 | 2 | 1 | 50 | 107 | 0 | 0 | 0 | 0 | 0 50 | 3 | 12 | 8 | 2 | 1 | 96 | 113 | 0 | 0 | 0 | 0 | 0 51 | 3 | 12 | 9 | 2 | 1 | 93 | 127 | 0 | 0 | 0 | 0 | 0 52 | 3 | 12 | 10 | 2 | 1 | 52 | 146 | 0 | 0 | 0 | 0 | 0 53 | 3 | 12 | 11 | 3 | 93 | 93 | 132 | 14.764823 | 14.764823 | 0 | 10 | 24.764823 54 | 3 | 12 | 12 | 3 | 96 | 96 | 126 | 6.708204 | 31.473027 | 2.526973 | 10 | 44 55 | 3 | 12 | 13 | 3 | 65 | 65 | 109 | 13.038405 | 57.038405 | 0 | 10 | 67.038405 56 | 3 | 12 | 14 | 3 | 52 | 52 | 90 | 14.142136 | 81.180541 | 1.819459 | 10 | 93 57 | 3 | 12 | 15 | 3 | 50 | 50 | 80 | 15.264338 | 108.264338 | 0 | 10 | 118.264338 58 | 3 | 12 | 16 | 3 | 23 | 23 | 40 | 3.605551 | 121.869889 | 0 | 10 | 131.869889 59 | 3 | 12 | 17 | 3 | 21 | 21 | 30 | 2 | 133.869889 | 0 | 10 | 143.869889 60 | 3 | 12 | 18 | 3 | 26 | 26 | 10 | 12.206556 | 156.076445 | 0 | 10 | 166.076445 61 | 3 | 12 | 19 | 3 | 49 | 49 | 0 | 7 | 173.076445 | 0 | 10 | 183.076445 62 | 3 | 12 | 20 | 6 | 1 | -1 | 0 | 45.044423 | 228.120868 | 0 | 0 | 228.120868 63 | 4 | 9 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 64 | 4 | 9 | 2 | 2 | 1 | 73 | 8 | 0 | 0 | 0 | 0 | 0 65 | 4 | 9 | 3 | 2 | 1 | 92 | 21 | 0 | 0 | 0 | 0 | 0 66 | 4 | 9 | 4 | 2 | 1 | 55 | 37 | 0 | 0 | 0 | 0 | 0 67 | 4 | 9 | 5 | 2 | 1 | 44 | 57 | 0 | 0 | 0 | 0 | 0 68 | 4 | 9 | 6 | 2 | 1 | 42 | 77 | 0 | 0 | 0 | 0 | 0 69 | 4 | 9 | 7 | 2 | 1 | 41 | 107 | 0 | 0 | 0 | 0 | 0 70 | 4 | 9 | 8 | 2 | 1 | 39 | 137 | 0 | 0 | 0 | 0 | 0 71 | 4 | 9 | 9 | 2 | 1 | 37 | 177 | 0 | 0 | 0 | 0 | 0 72 | 4 | 9 | 10 | 3 | 73 | 73 | 169 | 27.45906 | 27.45906 | 2.54094 | 10 | 40 73 | 4 | 9 | 11 | 3 | 37 | 37 | 129 | 20.099751 | 60.099751 | 0 | 10 | 70.099751 74 | 4 | 9 | 12 | 3 | 39 | 39 | 99 | 5.830952 | 75.930703 | 0 | 10 | 85.930703 75 | 4 | 9 | 13 | 3 | 41 | 41 | 69 | 5.385165 | 91.315868 | 0 | 10 | 101.315868 76 | 4 | 9 | 14 | 3 | 42 | 42 | 49 | 10.198039 | 111.513907 | 0 | 10 | 121.513907 77 | 4 | 9 | 15 | 3 | 44 | 44 | 29 | 10.440307 | 131.954214 | 0 | 10 | 141.954214 78 | 4 | 9 | 16 | 3 | 55 | 55 | 13 | 25 | 166.954214 | 0 | 10 | 176.954214 79 | 4 | 9 | 17 | 3 | 92 | 92 | 0 | 18.973666 | 195.92788 | 0 | 10 | 205.92788 80 | 4 | 9 | 18 | 6 | 1 | -1 | 0 | 12.041595 | 217.969475 | 0 | 0 | 217.969475 81 | 5 | 5 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 82 | 5 | 5 | 2 | 2 | 1 | 66 | 16 | 0 | 0 | 0 | 0 | 0 83 | 5 | 5 | 3 | 2 | 1 | 78 | 23 | 0 | 0 | 0 | 0 | 0 84 | 5 | 5 | 4 | 2 | 1 | 25 | 33 | 0 | 0 | 0 | 0 | 0 85 | 5 | 5 | 5 | 2 | 1 | 24 | 63 | 0 | 0 | 0 | 0 | 0 86 | 5 | 5 | 6 | 2 | 1 | 22 | 73 | 0 | 0 | 0 | 0 | 0 87 | 5 | 5 | 7 | 2 | 1 | 20 | 113 | 0 | 0 | 0 | 0 | 0 88 | 5 | 5 | 8 | 2 | 1 | 19 | 133 | 0 | 0 | 0 | 0 | 0 89 | 5 | 5 | 9 | 3 | 66 | 66 | 117 | 11.18034 | 11.18034 | 0 | 10 | 21.18034 90 | 5 | 5 | 10 | 3 | 24 | 24 | 87 | 35.128336 | 56.308676 | 8.691324 | 10 | 75 91 | 5 | 5 | 11 | 3 | 20 | 20 | 47 | 6.403124 | 81.403124 | 0 | 10 | 91.403124 92 | 5 | 5 | 12 | 3 | 22 | 22 | 37 | 5.385165 | 96.788289 | 0 | 10 | 106.788289 93 | 5 | 5 | 13 | 3 | 19 | 19 | 17 | 4 | 110.788289 | 0 | 10 | 120.788289 94 | 5 | 5 | 14 | 3 | 25 | 25 | 7 | 11.661904 | 132.450193 | 15.549807 | 10 | 158 95 | 5 | 5 | 15 | 3 | 78 | 78 | 0 | 19.209373 | 177.209373 | 0 | 10 | 187.209373 96 | 5 | 5 | 16 | 6 | 1 | -1 | 0 | 49.979996 | 237.189369 | 0 | 0 | 237.189369 97 | 6 | 7 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 98 | 6 | 7 | 2 | 2 | 1 | 32 | 20 | 0 | 0 | 0 | 0 | 0 99 | 6 | 7 | 3 | 2 | 1 | 30 | 30 | 0 | 0 | 0 | 0 | 0 100 | 6 | 7 | 4 | 2 | 1 | 28 | 50 | 0 | 0 | 0 | 0 | 0 101 | 6 | 7 | 5 | 2 | 1 | 94 | 53 | 0 | 0 | 0 | 0 | 0 102 | 6 | 7 | 6 | 2 | 1 | 33 | 63 | 0 | 0 | 0 | 0 | 0 103 | 6 | 7 | 7 | 2 | 1 | 35 | 93 | 0 | 0 | 0 | 0 | 0 104 | 6 | 7 | 8 | 2 | 1 | 27 | 123 | 0 | 0 | 0 | 0 | 0 105 | 6 | 7 | 9 | 3 | 28 | 28 | 103 | 57.008771 | 57.008771 | 4.991229 | 10 | 72 106 | 6 | 7 | 10 | 3 | 30 | 30 | 93 | 5 | 77 | 0 | 10 | 87 107 | 6 | 7 | 11 | 3 | 32 | 32 | 73 | 2 | 89 | 0 | 10 | 99 108 | 6 | 7 | 12 | 3 | 27 | 27 | 43 | 8.602325 | 107.602325 | 7.397675 | 10 | 125 109 | 6 | 7 | 13 | 3 | 35 | 35 | 13 | 11.18034 | 136.18034 | 0 | 10 | 146.18034 110 | 6 | 7 | 14 | 3 | 33 | 33 | 3 | 5.385165 | 151.565505 | 0 | 10 | 161.565505 111 | 6 | 7 | 15 | 3 | 94 | 94 | 0 | 34.058773 | 195.624278 | 0 | 10 | 205.624278 112 | 6 | 7 | 16 | 6 | 1 | -1 | 0 | 21.095023 | 226.719301 | 0 | 0 | 226.719301 113 | 7 | 4 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 114 | 7 | 4 | 2 | 2 | 1 | 84 | 14 | 0 | 0 | 0 | 0 | 0 115 | 7 | 4 | 3 | 2 | 1 | 91 | 20 | 0 | 0 | 0 | 0 | 0 116 | 7 | 4 | 4 | 2 | 1 | 53 | 23 | 0 | 0 | 0 | 0 | 0 117 | 7 | 4 | 5 | 2 | 1 | 75 | 31 | 0 | 0 | 0 | 0 | 0 118 | 7 | 4 | 6 | 2 | 1 | 59 | 51 | 0 | 0 | 0 | 0 | 0 119 | 7 | 4 | 7 | 2 | 1 | 100 | 66 | 0 | 0 | 0 | 0 | 0 120 | 7 | 4 | 8 | 3 | 84 | 84 | 52 | 19.235384 | 19.235384 | 15.764616 | 10 | 45 121 | 7 | 4 | 9 | 3 | 53 | 53 | 49 | 12.041595 | 57.041595 | 0 | 10 | 67.041595 122 | 7 | 4 | 10 | 3 | 100 | 100 | 34 | 5.09902 | 72.140615 | 4.859385 | 10 | 87 123 | 7 | 4 | 11 | 3 | 91 | 91 | 28 | 16.278821 | 103.278821 | 0 | 10 | 113.278821 124 | 7 | 4 | 12 | 3 | 75 | 75 | 20 | 31.906112 | 145.184933 | 0 | 10 | 155.184933 125 | 7 | 4 | 13 | 3 | 59 | 59 | 0 | 11.18034 | 166.365273 | 0 | 10 | 176.365273 126 | 7 | 4 | 14 | 6 | 1 | -1 | 0 | 47.169906 | 223.535179 | 0 | 0 | 223.535179 127 | 8 | 10 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 128 | 8 | 10 | 2 | 2 | 1 | 56 | 16 | 0 | 0 | 0 | 0 | 0 129 | 8 | 10 | 3 | 2 | 1 | 40 | 26 | 0 | 0 | 0 | 0 | 0 130 | 8 | 10 | 4 | 2 | 1 | 69 | 47 | 0 | 0 | 0 | 0 | 0 131 | 8 | 10 | 5 | 2 | 1 | 7 | 67 | 0 | 0 | 0 | 0 | 0 132 | 8 | 10 | 6 | 2 | 1 | 45 | 77 | 0 | 0 | 0 | 0 | 0 133 | 8 | 10 | 7 | 2 | 1 | 43 | 87 | 0 | 0 | 0 | 0 | 0 134 | 8 | 10 | 8 | 3 | 43 | 43 | 77 | 33.54102 | 33.54102 | 0 | 10 | 43.54102 135 | 8 | 10 | 9 | 3 | 40 | 40 | 67 | 5 | 48.54102 | 0 | 10 | 58.54102 136 | 8 | 10 | 10 | 3 | 45 | 45 | 57 | 5.385165 | 63.926185 | 0.073815 | 10 | 74 137 | 8 | 10 | 11 | 3 | 7 | 7 | 37 | 37.656341 | 111.656341 | 0 | 10 | 121.656341 138 | 8 | 10 | 12 | 3 | 69 | 69 | 16 | 26.627054 | 148.283395 | 0 | 10 | 158.283395 139 | 8 | 10 | 13 | 3 | 56 | 56 | 0 | 10 | 168.283395 | 0 | 10 | 178.283395 140 | 8 | 10 | 14 | 6 | 1 | -1 | 0 | 14.142136 | 192.425531 | 0 | 0 | 192.425531 141 | 9 | 6 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 142 | 9 | 6 | 2 | 2 | 1 | 70 | 27 | 0 | 0 | 0 | 0 | 0 143 | 9 | 6 | 3 | 2 | 1 | 99 | 36 | 0 | 0 | 0 | 0 | 0 144 | 9 | 6 | 4 | 2 | 1 | 87 | 64 | 0 | 0 | 0 | 0 | 0 145 | 9 | 6 | 5 | 2 | 1 | 58 | 87 | 0 | 0 | 0 | 0 | 0 146 | 9 | 6 | 6 | 2 | 1 | 57 | 106 | 0 | 0 | 0 | 0 | 0 147 | 9 | 6 | 7 | 2 | 1 | 67 | 122 | 0 | 0 | 0 | 0 | 0 148 | 9 | 6 | 8 | 3 | 70 | 70 | 95 | 9.219544 | 9.219544 | 31.780456 | 10 | 51 149 | 9 | 6 | 9 | 3 | 99 | 99 | 86 | 5 | 56 | 0 | 10 | 66 150 | 9 | 6 | 10 | 3 | 87 | 87 | 58 | 28.442925 | 94.442925 | 0 | 10 | 104.442925 151 | 9 | 6 | 11 | 3 | 58 | 58 | 35 | 9.055385 | 113.49831 | 0 | 10 | 123.49831 152 | 9 | 6 | 12 | 3 | 67 | 67 | 19 | 16.278821 | 139.777131 | 0 | 10 | 149.777131 153 | 9 | 6 | 13 | 3 | 57 | 57 | 0 | 9.219544 | 158.996675 | 0 | 10 | 168.996675 154 | 9 | 6 | 14 | 6 | 1 | -1 | 0 | 18.027756 | 187.024431 | 0 | 0 | 187.024431 155 | 10 | 14 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 156 | 10 | 14 | 2 | 2 | 1 | 63 | 3 | 0 | 0 | 0 | 0 | 0 157 | 10 | 14 | 3 | 2 | 1 | 86 | 5 | 0 | 0 | 0 | 0 | 0 158 | 10 | 14 | 4 | 2 | 1 | 90 | 30 | 0 | 0 | 0 | 0 | 0 159 | 10 | 14 | 5 | 2 | 1 | 85 | 48 | 0 | 0 | 0 | 0 | 0 160 | 10 | 14 | 6 | 2 | 1 | 77 | 79 | 0 | 0 | 0 | 0 | 0 161 | 10 | 14 | 7 | 3 | 63 | 63 | 76 | 29.154759 | 29.154759 | 22.845241 | 10 | 62 162 | 10 | 14 | 8 | 3 | 77 | 77 | 45 | 23.537205 | 85.537205 | 0 | 10 | 95.537205 163 | 10 | 14 | 9 | 3 | 86 | 86 | 43 | 11.401754 | 106.938959 | 0 | 10 | 116.938959 164 | 10 | 14 | 10 | 3 | 85 | 85 | 25 | 8.485281 | 125.42424 | 0 | 10 | 135.42424 165 | 10 | 14 | 11 | 3 | 90 | 90 | 0 | 26 | 161.42424 | 0 | 10 | 171.42424 166 | 10 | 14 | 12 | 6 | 1 | -1 | 0 | 52.478567 | 223.902807 | 0 | 0 | 223.902807 167 | 11 | 8 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 168 | 11 | 8 | 2 | 2 | 1 | 34 | 10 | 0 | 0 | 0 | 0 | 0 169 | 11 | 8 | 3 | 2 | 1 | 31 | 20 | 0 | 0 | 0 | 0 | 0 170 | 11 | 8 | 4 | 2 | 1 | 29 | 30 | 0 | 0 | 0 | 0 | 0 171 | 11 | 8 | 5 | 2 | 1 | 38 | 40 | 0 | 0 | 0 | 0 | 0 172 | 11 | 8 | 6 | 2 | 1 | 36 | 60 | 0 | 0 | 0 | 0 | 0 173 | 11 | 8 | 7 | 3 | 34 | 34 | 50 | 51.478151 | 51.478151 | 0 | 10 | 61.478151 174 | 11 | 8 | 8 | 3 | 29 | 29 | 40 | 8.602325 | 70.080476 | 0 | 10 | 80.080476 175 | 11 | 8 | 9 | 3 | 31 | 31 | 30 | 4 | 84.080476 | 0 | 10 | 94.080476 176 | 11 | 8 | 10 | 3 | 38 | 38 | 20 | 56.859476 | 150.939952 | 0 | 10 | 160.939952 177 | 11 | 8 | 11 | 3 | 36 | 36 | 0 | 3.605551 | 164.545503 | 0 | 10 | 174.545503 178 | 11 | 8 | 12 | 6 | 1 | -1 | 0 | 44.204072 | 218.749575 | 0 | 0 | 218.749575 179 | 12 | 2 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 180 | 12 | 2 | 2 | 2 | 1 | 79 | 27 | 0 | 0 | 0 | 0 | 0 181 | 12 | 2 | 3 | 2 | 1 | 61 | 44 | 0 | 0 | 0 | 0 | 0 182 | 12 | 2 | 4 | 2 | 1 | 12 | 84 | 0 | 0 | 0 | 0 | 0 183 | 12 | 2 | 5 | 2 | 1 | 13 | 104 | 0 | 0 | 0 | 0 | 0 184 | 12 | 2 | 6 | 3 | 13 | 13 | 84 | 32.388269 | 32.388269 | 31.611731 | 10 | 74 185 | 12 | 2 | 7 | 3 | 12 | 12 | 44 | 5 | 79 | 0 | 10 | 89 186 | 12 | 2 | 8 | 3 | 79 | 79 | 17 | 16 | 105 | 0 | 10 | 115 187 | 12 | 2 | 9 | 3 | 61 | 61 | 0 | 8.062258 | 123.062258 | 31.937742 | 10 | 165 188 | 12 | 2 | 10 | 6 | 1 | -1 | 0 | 26.925824 | 191.925824 | 0 | 0 | 191.925824 189 | 13 | 11 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 190 | 13 | 11 | 2 | 2 | 1 | 51 | 30 | 0 | 0 | 0 | 0 | 0 191 | 13 | 11 | 3 | 2 | 1 | 62 | 39 | 0 | 0 | 0 | 0 | 0 192 | 13 | 11 | 4 | 2 | 1 | 82 | 49 | 0 | 0 | 0 | 0 | 0 193 | 13 | 11 | 5 | 2 | 1 | 95 | 72 | 0 | 0 | 0 | 0 | 0 194 | 13 | 11 | 6 | 3 | 62 | 62 | 63 | 15.811388 | 15.811388 | 50.188612 | 10 | 76 195 | 13 | 11 | 7 | 3 | 82 | 82 | 53 | 8.062258 | 84.062258 | 1.937742 | 10 | 96 196 | 13 | 11 | 8 | 3 | 95 | 95 | 30 | 12.806248 | 108.806248 | 0 | 10 | 118.806248 197 | 13 | 11 | 9 | 3 | 51 | 51 | 0 | 19.849433 | 138.655681 | 0 | 10 | 148.655681 198 | 13 | 11 | 10 | 6 | 1 | -1 | 0 | 35.341194 | 183.996875 | 0 | 0 | 183.996875 199 | 14 | 13 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 200 | 14 | 13 | 2 | 2 | 1 | 60 | 19 | 0 | 0 | 0 | 0 | 0 201 | 14 | 13 | 3 | 2 | 1 | 76 | 35 | 0 | 0 | 0 | 0 | 0 202 | 14 | 13 | 4 | 2 | 1 | 88 | 48 | 0 | 0 | 0 | 0 | 0 203 | 14 | 13 | 5 | 2 | 1 | 98 | 83 | 0 | 0 | 0 | 0 | 0 204 | 14 | 13 | 6 | 3 | 60 | 60 | 64 | 42.426407 | 42.426407 | 0 | 10 | 52.426407 205 | 14 | 13 | 7 | 3 | 76 | 76 | 48 | 15.811388 | 68.237795 | 5.762205 | 10 | 84 206 | 14 | 13 | 8 | 3 | 88 | 88 | 35 | 20.248457 | 104.248457 | 0 | 10 | 114.248457 207 | 14 | 13 | 9 | 3 | 98 | 98 | 0 | 10 | 124.248457 | 0 | 10 | 134.248457 208 | 14 | 13 | 10 | 6 | 1 | -1 | 0 | 48.166378 | 182.414835 | 0 | 0 | 182.414835 209 | 15 | 20 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 210 | 15 | 20 | 2 | 2 | 1 | 83 | 9 | 0 | 0 | 0 | 0 | 0 211 | 15 | 20 | 3 | 2 | 1 | 80 | 39 | 0 | 0 | 0 | 0 | 0 212 | 15 | 20 | 4 | 2 | 1 | 74 | 44 | 0 | 0 | 0 | 0 | 0 213 | 15 | 20 | 5 | 2 | 1 | 89 | 63 | 0 | 0 | 0 | 0 | 0 214 | 15 | 20 | 6 | 3 | 83 | 83 | 54 | 14.764823 | 14.764823 | 27.235177 | 10 | 52 215 | 15 | 20 | 7 | 3 | 89 | 89 | 35 | 15.297059 | 67.297059 | 0 | 10 | 77.297059 216 | 15 | 20 | 8 | 3 | 74 | 74 | 30 | 22.090722 | 99.387781 | 0 | 10 | 109.387781 217 | 15 | 20 | 9 | 3 | 80 | 80 | 0 | 8.944272 | 118.332053 | 0 | 10 | 128.332053 218 | 15 | 20 | 10 | 6 | 1 | -1 | 0 | 38.470768 | 166.802821 | 0 | 0 | 166.802821 219 | 16 | 15 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 220 | 16 | 15 | 2 | 2 | 1 | 97 | 26 | 0 | 0 | 0 | 0 | 0 221 | 16 | 15 | 3 | 2 | 1 | 64 | 32 | 0 | 0 | 0 | 0 | 0 222 | 16 | 15 | 4 | 2 | 1 | 72 | 46 | 0 | 0 | 0 | 0 | 0 223 | 16 | 15 | 5 | 2 | 1 | 68 | 55 | 0 | 0 | 0 | 0 | 0 224 | 16 | 15 | 6 | 3 | 64 | 64 | 49 | 39.051248 | 39.051248 | 0 | 10 | 49.051248 225 | 16 | 15 | 7 | 3 | 68 | 68 | 40 | 22.022716 | 71.073964 | 0 | 10 | 81.073964 226 | 16 | 15 | 8 | 3 | 72 | 72 | 26 | 13.038405 | 94.112369 | 0 | 10 | 104.112369 227 | 16 | 15 | 9 | 3 | 97 | 97 | 0 | 10.049876 | 114.162245 | 17.837755 | 10 | 142 228 | 16 | 15 | 10 | 6 | 1 | -1 | 0 | 15.524175 | 157.524175 | 0 | 0 | 157.524175 229 | 17 | 17 | 1 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 230 | 17 | 17 | 2 | 2 | 1 | 54 | 5 | 0 | 0 | 0 | 0 | 0 231 | 17 | 17 | 3 | 2 | 1 | 3 | 35 | 0 | 0 | 0 | 0 | 0 232 | 17 | 17 | 4 | 3 | 3 | 3 | 5 | 30.805844 | 30.805844 | 19.194156 | 10 | 60 233 | 17 | 17 | 5 | 3 | 54 | 54 | 0 | 25.079872 | 85.079872 | 5.920128 | 10 | 101 234 | 17 | 17 | 6 | 6 | 1 | -1 | 0 | 20 | 121 | 0 | 0 | 121 235 | -2 | 0 | 0 | -1 | -1 | -1 | -1 | 2090.615499 | -1 | 340.903877 | 1000 | 3431.519376 (235 rows) ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/vrp_basic/oneDepotWrapper.test.sql000066400000000000000000000003561414350551100244660ustar00rootroot00000000000000SET extra_float_digits=-3; SELECT * FROM _pgr_vrpOneDepot( 'SELECT * FROM solomon_100_RC_101', 'SELECT * FROM vrp_vehicles', 'SELECT src_id AS start_vid, dest_id AS end_vid, traveltime AS agg_cost FROM vrp_distance', 1); pgrouting-3.3.0/docqueries/vrp_basic/solomon100-optimal.png000066400000000000000000004002171414350551100237310ustar00rootroot00000000000000‰PNG  IHDRèèM£ÔäIDATxœcø? 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1; pgrouting-3.3.0/docqueries/withPoints/000077500000000000000000000000001414350551100200455ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/withPoints/CMakeLists.txt000066400000000000000000000007551414350551100226140ustar00rootroot00000000000000# Do not use extensions SET(LOCAL_FILES doc-pgr_withPointsCostMatrix doc-pgr_withPointsCost doc-pgr_withPointsDD doc-pgr_withPointsKSP-cygwin doc-pgr_withPointsKSP doc-pgr_withPoints ) foreach (f ${LOCAL_FILES}) configure_file("${f}.result" "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") list(APPEND LOCAL_DOC_FILES "${PGR_DOCUMENTATION_SOURCE_DIR}/${f}.queries") endforeach() set(PROJECT_DOC_FILES ${PROJECT_DOC_FILES} ${LOCAL_DOC_FILES} PARENT_SCOPE) pgrouting-3.3.0/docqueries/withPoints/doc-pgr_withPoints.result000066400000000000000000000266511414350551100251020ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SET extra_float_digits=-3; SET /* --e1 */ SELECT * FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, -3); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | -1 | 1 | 0.6 | 0 2 | 2 | 2 | 4 | 1 | 0.6 3 | 3 | 5 | 10 | 1 | 1.6 4 | 4 | 10 | 12 | 0.6 | 2.6 5 | 5 | -3 | -1 | 0 | 3.2 (5 rows) /* --e2 */ SELECT * FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, 3, details := true); seq | path_seq | node | edge | cost | agg_cost -----+----------+------+------+------+---------- 1 | 1 | -1 | 1 | 0.6 | 0 2 | 2 | 2 | 4 | 0.7 | 0.6 3 | 3 | -6 | 4 | 0.3 | 1.3 4 | 4 | 5 | 8 | 1 | 1.6 5 | 5 | 6 | 9 | 1 | 2.6 6 | 6 | 9 | 16 | 1 | 3.6 7 | 7 | 4 | 3 | 1 | 4.6 8 | 8 | 3 | -1 | 0 | 5.6 (8 rows) /* --e3 */ SELECT * FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, ARRAY[-3,5]); seq | path_seq | end_pid | node | edge | cost | agg_cost -----+----------+---------+------+------+------+---------- 1 | 1 | -3 | -1 | 1 | 0.6 | 0 2 | 2 | -3 | 2 | 4 | 1 | 0.6 3 | 3 | -3 | 5 | 10 | 1 | 1.6 4 | 4 | -3 | 10 | 12 | 0.6 | 2.6 5 | 5 | -3 | -3 | -1 | 0 | 3.2 6 | 1 | 5 | -1 | 1 | 0.6 | 0 7 | 2 | 5 | 2 | 4 | 1 | 0.6 8 | 3 | 5 | 5 | -1 | 0 | 1.6 (8 rows) /* --e4 */ SELECT * FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[-1,2], -3); seq | path_seq | start_pid | node | edge | cost | agg_cost -----+----------+-----------+------+------+------+---------- 1 | 1 | -1 | -1 | 1 | 0.6 | 0 2 | 2 | -1 | 2 | 4 | 1 | 0.6 3 | 3 | -1 | 5 | 10 | 1 | 1.6 4 | 4 | -1 | 10 | 12 | 0.6 | 2.6 5 | 5 | -1 | -3 | -1 | 0 | 3.2 6 | 1 | 2 | 2 | 4 | 1 | 0 7 | 2 | 2 | 5 | 10 | 1 | 1 8 | 3 | 2 | 10 | 12 | 0.6 | 2 9 | 4 | 2 | -3 | -1 | 0 | 2.6 (9 rows) /* --e5 */ SELECT * FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[-1,2], ARRAY[-3,7]); seq | path_seq | start_pid | end_pid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | -1 | -3 | -1 | 1 | 0.6 | 0 2 | 2 | -1 | -3 | 2 | 4 | 1 | 0.6 3 | 3 | -1 | -3 | 5 | 10 | 1 | 1.6 4 | 4 | -1 | -3 | 10 | 12 | 0.6 | 2.6 5 | 5 | -1 | -3 | -3 | -1 | 0 | 3.2 6 | 1 | -1 | 7 | -1 | 1 | 0.6 | 0 7 | 2 | -1 | 7 | 2 | 4 | 1 | 0.6 8 | 3 | -1 | 7 | 5 | 7 | 1 | 1.6 9 | 4 | -1 | 7 | 8 | 6 | 1 | 2.6 10 | 5 | -1 | 7 | 7 | -1 | 0 | 3.6 11 | 1 | 2 | -3 | 2 | 4 | 1 | 0 12 | 2 | 2 | -3 | 5 | 10 | 1 | 1 13 | 3 | 2 | -3 | 10 | 12 | 0.6 | 2 14 | 4 | 2 | -3 | -3 | -1 | 0 | 2.6 15 | 1 | 2 | 7 | 2 | 4 | 1 | 0 16 | 2 | 2 | 7 | 5 | 7 | 1 | 1 17 | 3 | 2 | 7 | 8 | 6 | 1 | 2 18 | 4 | 2 | 7 | 7 | -1 | 0 | 3 (18 rows) /* --q2 */ SELECT ('(' || start_pid || ' => ' || end_pid ||') at ' || path_seq || 'th step:')::TEXT AS path_at, CASE WHEN edge = -1 THEN ' visits' ELSE ' passes in front of' END as status, CASE WHEN node < 0 THEN 'Point' ELSE 'Vertex' END as is_a, abs(node) as id FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[1,-1], ARRAY[-2,-3,-6,3,6], driving_side := 'r', details := true) WHERE node IN (-6,6); path_at | status | is_a | id -------------------------+---------------------+--------+---- (-1 => -6) at 4th step: | visits | Point | 6 (-1 => -3) at 4th step: | passes in front of | Point | 6 (-1 => -2) at 4th step: | passes in front of | Point | 6 (-1 => -2) at 6th step: | passes in front of | Vertex | 6 (-1 => 3) at 4th step: | passes in front of | Point | 6 (-1 => 3) at 6th step: | passes in front of | Vertex | 6 (-1 => 6) at 4th step: | passes in front of | Point | 6 (-1 => 6) at 6th step: | visits | Vertex | 6 (1 => -6) at 3th step: | visits | Point | 6 (1 => -3) at 3th step: | passes in front of | Point | 6 (1 => -2) at 3th step: | passes in front of | Point | 6 (1 => -2) at 5th step: | passes in front of | Vertex | 6 (1 => 3) at 3th step: | passes in front of | Point | 6 (1 => 3) at 5th step: | passes in front of | Vertex | 6 (1 => 6) at 3th step: | passes in front of | Point | 6 (1 => 6) at 5th step: | visits | Vertex | 6 (16 rows) /* --q3 */ SELECT ('(' || start_pid || ' => ' || end_pid ||') at ' || path_seq || 'th step:')::TEXT AS path_at, CASE WHEN edge = -1 THEN ' visits' ELSE ' passes in front of' END as status, CASE WHEN node < 0 THEN 'Point' ELSE 'Vertex' END as is_a, abs(node) as id FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[1,-1], ARRAY[-2,-3,-6,3,6], driving_side := 'l', details := true) WHERE node IN (-6,6); path_at | status | is_a | id -------------------------+---------------------+--------+---- (-1 => -6) at 3th step: | visits | Point | 6 (-1 => -3) at 3th step: | passes in front of | Point | 6 (-1 => -2) at 3th step: | passes in front of | Point | 6 (-1 => -2) at 5th step: | passes in front of | Vertex | 6 (-1 => 3) at 3th step: | passes in front of | Point | 6 (-1 => 3) at 5th step: | passes in front of | Vertex | 6 (-1 => 6) at 3th step: | passes in front of | Point | 6 (-1 => 6) at 5th step: | visits | Vertex | 6 (1 => -6) at 4th step: | visits | Point | 6 (1 => -3) at 4th step: | passes in front of | Point | 6 (1 => -2) at 4th step: | passes in front of | Point | 6 (1 => -2) at 6th step: | passes in front of | Vertex | 6 (1 => 3) at 4th step: | passes in front of | Point | 6 (1 => 3) at 6th step: | passes in front of | Vertex | 6 (1 => 6) at 4th step: | passes in front of | Point | 6 (1 => 6) at 6th step: | visits | Vertex | 6 (16 rows) /* --q4 */ SELECT * FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[-1,2], ARRAY[-3,7], directed := false, details := true); seq | path_seq | start_pid | end_pid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | -1 | -3 | -1 | 1 | 0.6 | 0 2 | 2 | -1 | -3 | 2 | 4 | 0.7 | 0.6 3 | 3 | -1 | -3 | -6 | 4 | 0.3 | 1.3 4 | 4 | -1 | -3 | 5 | 10 | 1 | 1.6 5 | 5 | -1 | -3 | 10 | 12 | 0.6 | 2.6 6 | 6 | -1 | -3 | -3 | -1 | 0 | 3.2 7 | 1 | -1 | 7 | -1 | 1 | 0.6 | 0 8 | 2 | -1 | 7 | 2 | 4 | 0.7 | 0.6 9 | 3 | -1 | 7 | -6 | 4 | 0.3 | 1.3 10 | 4 | -1 | 7 | 5 | 7 | 1 | 1.6 11 | 5 | -1 | 7 | 8 | 6 | 0.7 | 2.6 12 | 6 | -1 | 7 | -4 | 6 | 0.3 | 3.3 13 | 7 | -1 | 7 | 7 | -1 | 0 | 3.6 14 | 1 | 2 | -3 | 2 | 4 | 0.7 | 0 15 | 2 | 2 | -3 | -6 | 4 | 0.3 | 0.7 16 | 3 | 2 | -3 | 5 | 10 | 1 | 1 17 | 4 | 2 | -3 | 10 | 12 | 0.6 | 2 18 | 5 | 2 | -3 | -3 | -1 | 0 | 2.6 19 | 1 | 2 | 7 | 2 | 4 | 0.7 | 0 20 | 2 | 2 | 7 | -6 | 4 | 0.3 | 0.7 21 | 3 | 2 | 7 | 5 | 7 | 1 | 1 22 | 4 | 2 | 7 | 8 | 6 | 0.7 | 2 23 | 5 | 2 | 7 | -4 | 6 | 0.3 | 2.7 24 | 6 | 2 | 7 | 7 | -1 | 0 | 3 (24 rows) /* --q5 */ SELECT * FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', 'SELECT * FROM ( VALUES (-1, 3), (2, -3) ) AS t(source, target)', driving_side => 'r', details => true); seq | path_seq | start_pid | end_pid | node | edge | cost | agg_cost -----+----------+-----------+---------+------+------+------+---------- 1 | 1 | -1 | 3 | -1 | 1 | 0.4 | 0 2 | 2 | -1 | 3 | 1 | 1 | 1 | 0.4 3 | 3 | -1 | 3 | 2 | 4 | 0.7 | 1.4 4 | 4 | -1 | 3 | -6 | 4 | 0.3 | 2.1 5 | 5 | -1 | 3 | 5 | 8 | 1 | 2.4 6 | 6 | -1 | 3 | 6 | 9 | 1 | 3.4 7 | 7 | -1 | 3 | 9 | 16 | 1 | 4.4 8 | 8 | -1 | 3 | 4 | 3 | 1 | 5.4 9 | 9 | -1 | 3 | 3 | -1 | 0 | 6.4 10 | 1 | 2 | -3 | 2 | 4 | 0.7 | 0 11 | 2 | 2 | -3 | -6 | 4 | 0.3 | 0.7 12 | 3 | 2 | -3 | 5 | 10 | 1 | 1 13 | 4 | 2 | -3 | 10 | 12 | 0.6 | 2 14 | 5 | 2 | -3 | -3 | -1 | 0 | 2.6 (14 rows) /* --q6 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/withPoints/doc-pgr_withPoints.test.sql000066400000000000000000000055521414350551100253360ustar00rootroot00000000000000SET extra_float_digits=-3; /* --e1 */ SELECT * FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, -3); /* --e2 */ SELECT * FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, 3, details := true); /* --e3 */ SELECT * FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, ARRAY[-3,5]); /* --e4 */ SELECT * FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[-1,2], -3); /* --e5 */ SELECT * FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[-1,2], ARRAY[-3,7]); /* --q2 */ SELECT ('(' || start_pid || ' => ' || end_pid ||') at ' || path_seq || 'th step:')::TEXT AS path_at, CASE WHEN edge = -1 THEN ' visits' ELSE ' passes in front of' END as status, CASE WHEN node < 0 THEN 'Point' ELSE 'Vertex' END as is_a, abs(node) as id FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[1,-1], ARRAY[-2,-3,-6,3,6], driving_side := 'r', details := true) WHERE node IN (-6,6); /* --q3 */ SELECT ('(' || start_pid || ' => ' || end_pid ||') at ' || path_seq || 'th step:')::TEXT AS path_at, CASE WHEN edge = -1 THEN ' visits' ELSE ' passes in front of' END as status, CASE WHEN node < 0 THEN 'Point' ELSE 'Vertex' END as is_a, abs(node) as id FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[1,-1], ARRAY[-2,-3,-6,3,6], driving_side := 'l', details := true) WHERE node IN (-6,6); /* --q4 */ SELECT * FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[-1,2], ARRAY[-3,7], directed := false, details := true); /* --q5 */ SELECT * FROM pgr_withPoints( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', 'SELECT * FROM ( VALUES (-1, 3), (2, -3) ) AS t(source, target)', driving_side => 'r', details => true); /* --q6 */ pgrouting-3.3.0/docqueries/withPoints/doc-pgr_withPointsCost.result000066400000000000000000000071141414350551100257240ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SET extra_float_digits=-3; SET /* --e1 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, -3); start_pid | end_pid | agg_cost -----------+---------+---------- -1 | -3 | 3.2 (1 row) /* --e2 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, 3, directed := false); start_pid | end_pid | agg_cost -----------+---------+---------- -1 | 3 | 1.6 (1 row) /* --e3 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, ARRAY[-3,5]); start_pid | end_pid | agg_cost -----------+---------+---------- -1 | -3 | 3.2 -1 | 5 | 1.6 (2 rows) /* --e4 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[-1,2], -3); start_pid | end_pid | agg_cost -----------+---------+---------- -1 | -3 | 3.2 2 | -3 | 2.6 (2 rows) /* --e5 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[-1,2], ARRAY[-3,7]); start_pid | end_pid | agg_cost -----------+---------+---------- -1 | -3 | 3.2 -1 | 7 | 3.6 2 | -3 | 2.6 2 | 7 | 3 (4 rows) /* --q2 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[-1,2], ARRAY[-3,7], driving_side := 'l'); start_pid | end_pid | agg_cost -----------+---------+---------- -1 | -3 | 3.2 -1 | 7 | 3.6 2 | -3 | 2.6 2 | 7 | 3 (4 rows) /* --q3 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[-1,2], ARRAY[-3,7], driving_side := 'r'); start_pid | end_pid | agg_cost -----------+---------+---------- -1 | -3 | 4 -1 | 7 | 4.4 2 | -3 | 2.6 2 | 7 | 3 (4 rows) /* --q4 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[-1,2], ARRAY[-3,7], driving_side := 'b'); start_pid | end_pid | agg_cost -----------+---------+---------- -1 | -3 | 3.2 -1 | 7 | 3.6 2 | -3 | 2.6 2 | 7 | 3 (4 rows) /* --q5 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', 'SELECT * FROM ( VALUES (-1, 3), (2, -3) ) AS t(source, target)', driving_side => 'r'); start_pid | end_pid | agg_cost -----------+---------+---------- -1 | 3 | 6.4 2 | -3 | 2.6 (2 rows) /* --q6 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/withPoints/doc-pgr_withPointsCost.test.sql000066400000000000000000000041441414350551100261630ustar00rootroot00000000000000SET extra_float_digits=-3; /* --e1 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, -3); /* --e2 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, 3, directed := false); /* --e3 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, ARRAY[-3,5]); /* --e4 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[-1,2], -3); /* --e5 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[-1,2], ARRAY[-3,7]); /* --q2 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[-1,2], ARRAY[-3,7], driving_side := 'l'); /* --q3 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[-1,2], ARRAY[-3,7], driving_side := 'r'); /* --q4 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[-1,2], ARRAY[-3,7], driving_side := 'b'); /* --q5 */ SELECT * FROM pgr_withPointsCost( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', 'SELECT * FROM ( VALUES (-1, 3), (2, -3) ) AS t(source, target)', driving_side => 'r'); /* --q6 */ pgrouting-3.3.0/docqueries/withPoints/doc-pgr_withPointsCostMatrix.result000066400000000000000000000040771414350551100271160ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SET extra_float_digits=-3; SET SET client_min_messages to WARNING; SET /* -- withPoints q1 */ SELECT * FROM pgr_withPointsCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction from pointsOfInterest', array[-1, 3, 6, -6]); start_vid | end_vid | agg_cost -----------+---------+---------- -6 | -1 | 1.3 -6 | 3 | 4.3 -6 | 6 | 1.3 -1 | -6 | 1.3 -1 | 3 | 5.6 -1 | 6 | 2.6 3 | -6 | 1.7 3 | -1 | 1.6 3 | 6 | 1 6 | -6 | 1.3 6 | -1 | 2.6 6 | 3 | 3 (12 rows) /* -- withPoints q2 */ SELECT * FROM pgr_withPointsCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction from pointsOfInterest', array[-1, 3, 6, -6], directed := false); start_vid | end_vid | agg_cost -----------+---------+---------- -6 | -1 | 1.3 -6 | 3 | 1.7 -6 | 6 | 1.3 -1 | -6 | 1.3 -1 | 3 | 1.6 -1 | 6 | 2.6 3 | -6 | 1.7 3 | -1 | 1.6 3 | 6 | 1 6 | -6 | 1.3 6 | -1 | 2.6 6 | 3 | 1 (12 rows) /* -- withPoints q3 */ SELECT * FROM pgr_TSP( $$ SELECT * FROM pgr_withPointsCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction from pointsOfInterest', array[-1, 3, 6, -6], directed := false); $$, randomize := false ); seq | node | cost | agg_cost -----+------+------+---------- 1 | -6 | 0 | 0 2 | -1 | 1.3 | 1.3 3 | 3 | 1.6 | 2.9 4 | 6 | 1 | 3.9 5 | -6 | 1.3 | 5.2 (5 rows) /* -- withPoints q4 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/withPoints/doc-pgr_withPointsCostMatrix.test.sql000066400000000000000000000016741414350551100273550ustar00rootroot00000000000000------------------------ -- withPoints ------------------------ SET extra_float_digits=-3; SET client_min_messages to WARNING; /* -- withPoints q1 */ SELECT * FROM pgr_withPointsCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction from pointsOfInterest', array[-1, 3, 6, -6]); /* -- withPoints q2 */ SELECT * FROM pgr_withPointsCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction from pointsOfInterest', array[-1, 3, 6, -6], directed := false); /* -- withPoints q3 */ SELECT * FROM pgr_TSP( $$ SELECT * FROM pgr_withPointsCostMatrix( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction from pointsOfInterest', array[-1, 3, 6, -6], directed := false); $$, randomize := false ); /* -- withPoints q4 */ pgrouting-3.3.0/docqueries/withPoints/doc-pgr_withPointsDD.result000066400000000000000000000061111414350551100252770ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SET extra_float_digits=-3; SET /* --q1 */ SELECT * FROM pgr_withPointsDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, 3.8); seq | node | edge | cost | agg_cost -----+------+------+------+---------- 1 | -1 | -1 | 0 | 0 2 | 1 | 1 | 0.4 | 0.4 3 | 2 | 1 | 0.6 | 0.6 4 | 5 | 4 | 1 | 1.6 5 | 6 | 8 | 1 | 2.6 6 | 8 | 7 | 1 | 2.6 7 | 10 | 10 | 1 | 2.6 8 | 7 | 6 | 1 | 3.6 9 | 9 | 9 | 1 | 3.6 10 | 11 | 11 | 1 | 3.6 11 | 13 | 14 | 1 | 3.6 (11 rows) /* --q2 */ SELECT * FROM pgr_withPointsDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, 3.8, driving_side := 'r', details := true); seq | node | edge | cost | agg_cost -----+------+------+------+---------- 1 | -1 | -1 | 0 | 0 2 | 1 | 1 | 0.4 | 0.4 3 | 2 | 1 | 1 | 1.4 4 | -6 | 4 | 0.7 | 2.1 5 | 5 | 4 | 0.3 | 2.4 6 | 6 | 8 | 1 | 3.4 7 | 8 | 7 | 1 | 3.4 8 | 10 | 10 | 1 | 3.4 (8 rows) /* --q3 */ SELECT * FROM pgr_withPointsDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, 3.8, driving_side := 'l', details := true); seq | node | edge | cost | agg_cost -----+------+------+------+---------- 1 | -1 | -1 | 0 | 0 2 | 2 | 1 | 0.6 | 0.6 3 | -6 | 4 | 0.7 | 1.3 4 | 5 | 4 | 0.3 | 1.6 5 | 1 | 1 | 1 | 1.6 6 | 6 | 8 | 1 | 2.6 7 | 8 | 7 | 1 | 2.6 8 | 10 | 10 | 1 | 2.6 9 | -3 | 12 | 0.6 | 3.2 10 | -4 | 6 | 0.7 | 3.3 11 | 7 | 6 | 0.3 | 3.6 12 | 9 | 9 | 1 | 3.6 13 | 11 | 11 | 1 | 3.6 14 | 13 | 14 | 1 | 3.6 (14 rows) /* --q4 */ SELECT * FROM pgr_withPointsDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, 3.8, driving_side := 'b', details := true); seq | node | edge | cost | agg_cost -----+------+------+------+---------- 1 | -1 | -1 | 0 | 0 2 | 1 | 1 | 0.4 | 0.4 3 | 2 | 1 | 0.6 | 0.6 4 | -6 | 4 | 0.7 | 1.3 5 | 5 | 4 | 0.3 | 1.6 6 | 6 | 8 | 1 | 2.6 7 | 8 | 7 | 1 | 2.6 8 | 10 | 10 | 1 | 2.6 9 | -3 | 12 | 0.6 | 3.2 10 | -4 | 6 | 0.7 | 3.3 11 | 7 | 6 | 0.3 | 3.6 12 | 9 | 9 | 1 | 3.6 13 | 11 | 11 | 1 | 3.6 14 | 13 | 14 | 1 | 3.6 (14 rows) /* --q5 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/withPoints/doc-pgr_withPointsDD.test.sql000066400000000000000000000017351414350551100255450ustar00rootroot00000000000000SET extra_float_digits=-3; /* --q1 */ SELECT * FROM pgr_withPointsDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, 3.8); /* --q2 */ SELECT * FROM pgr_withPointsDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, 3.8, driving_side := 'r', details := true); /* --q3 */ SELECT * FROM pgr_withPointsDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, 3.8, driving_side := 'l', details := true); /* --q4 */ SELECT * FROM pgr_withPointsDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, 3.8, driving_side := 'b', details := true); /* --q5 */ pgrouting-3.3.0/docqueries/withPoints/doc-pgr_withPointsKSP-cygwin.result000066400000000000000000000025401414350551100267450ustar00rootroot00000000000000--q1 1|1|1|-1|1|0.6|0 2|1|2|2|4|1|0.6 3|1|3|5|8|1|1.6 4|1|4|6|9|1|2.6 5|1|5|9|15|0.4|3.6 6|1|6|-2|-1|0|4 7|2|1|-1|1|0.6|0 8|2|2|2|4|1|0.6 9|2|3|5|8|1|1.6 10|2|4|6|11|1|2.6 11|2|5|11|13|1|3.6 12|2|6|12|15|0.6|4.6 13|2|7|-2|-1|0|5.2 --q2 1|1|1|-1|1|0.6|0 2|1|2|2|4|0.7|0.6 3|1|3|-6|4|0.3|1.3 4|1|4|5|8|1|1.6 5|1|5|6|-1|0|2.6 6|2|1|-1|1|0.6|0 7|2|2|2|4|0.7|0.6 8|2|3|-6|4|0.3|1.3 9|2|4|5|10|1|1.6 10|2|5|10|12|0.6|2.6 11|2|6|-3|12|0.4|3.2 12|2|7|11|13|1|3.6 13|2|8|12|15|0.6|4.6 14|2|9|-2|15|0.4|5.2 15|2|10|9|9|1|5.6 16|2|11|6|-1|0|6.6 --q3 1|1|1|-1|1|0.6|0 2|1|2|2|4|0.7|0.6 3|1|3|-6|4|0.3|1.3 4|1|4|5|8|1|1.6 5|1|5|6|11|1|2.6 6|1|6|9|13|1|3.6 7|1|7|12|15|0.6|4.6 8|1|8|-2|-1|0|5.2 9|2|1|-1|1|0.6|0 10|2|2|2|4|0.7|0.6 11|2|3|-6|4|0.3|1.3 12|2|4|5|8|1|1.6 13|2|5|6|9|1|2.6 14|2|6|11|15|1|3.6 15|2|7|12|15|0.6|4.6 16|2|8|-2|-1|0|5.2 --q4 1|1|1|-1|1|0.4|0 2|1|2|1|1|1|0.4 3|1|3|2|4|0.7|1.4 4|1|4|-6|4|0.3|2.1 5|1|5|5|8|1|2.4 6|1|6|6|9|1|3.4 7|1|7|9|15|0.4|4.4 8|1|8|-2|-1|0|4.8 9|2|1|-1|1|0.4|0 10|2|2|1|1|1|0.4 11|2|3|2|4|0.7|1.4 12|2|4|-6|4|0.3|2.1 13|2|5|5|8|1|2.4 14|2|6|6|11|1|3.4 15|2|7|11|13|1|4.4 16|2|8|12|15|1|5.4 17|2|9|9|15|0.4|6.4 18|2|10|-2|-1|0|6.8 19|3|1|-1|1|0.4|0 20|3|2|1|1|1|0.4 21|3|3|2|4|0.7|1.4 22|3|4|-6|4|0.3|2.1 23|3|5|5|10|1|2.4 24|3|6|10|12|0.6|3.4 25|3|7|-3|12|0.4|4 26|3|8|11|13|1|4.4 27|3|9|12|15|1|5.4 28|3|10|9|15|0.4|6.4 29|3|11|-2|-1|0|6.8 --q5 pgrouting-3.3.0/docqueries/withPoints/doc-pgr_withPointsKSP-cygwin.test.sql000066400000000000000000000016761414350551100272150ustar00rootroot00000000000000 /* --q1 */ SELECT * FROM pgr_withPointsKSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, -2, 2); /* --q2 */ SELECT * FROM pgr_withPointsKSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, 6, 2, details := true); /* --q3 */ SELECT * FROM pgr_withPointsKSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, -2, 2, driving_side := 'l', details := true); /* --q4 */ SELECT * FROM pgr_withPointsKSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, -2, 2, heap_paths := true, driving_side := 'r', details := true); /* --q5 */ pgrouting-3.3.0/docqueries/withPoints/doc-pgr_withPointsKSP.result000066400000000000000000000133451414350551100254540ustar00rootroot00000000000000BEGIN; BEGIN SET client_min_messages TO NOTICE; SET SET extra_float_digits=-3; SET /* --q1 */ SELECT * FROM pgr_withPointsKSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, -2, 2); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | -1 | 1 | 0.6 | 0 2 | 1 | 2 | 2 | 4 | 1 | 0.6 3 | 1 | 3 | 5 | 8 | 1 | 1.6 4 | 1 | 4 | 6 | 9 | 1 | 2.6 5 | 1 | 5 | 9 | 15 | 0.4 | 3.6 6 | 1 | 6 | -2 | -1 | 0 | 4 7 | 2 | 1 | -1 | 1 | 0.6 | 0 8 | 2 | 2 | 2 | 4 | 1 | 0.6 9 | 2 | 3 | 5 | 8 | 1 | 1.6 10 | 2 | 4 | 6 | 11 | 1 | 2.6 11 | 2 | 5 | 11 | 13 | 1 | 3.6 12 | 2 | 6 | 12 | 15 | 0.6 | 4.6 13 | 2 | 7 | -2 | -1 | 0 | 5.2 (13 rows) /* --q2 */ SELECT * FROM pgr_withPointsKSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, 6, 2, details := true); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | -1 | 1 | 0.6 | 0 2 | 1 | 2 | 2 | 4 | 0.7 | 0.6 3 | 1 | 3 | -6 | 4 | 0.3 | 1.3 4 | 1 | 4 | 5 | 8 | 1 | 1.6 5 | 1 | 5 | 6 | -1 | 0 | 2.6 6 | 2 | 1 | -1 | 1 | 0.6 | 0 7 | 2 | 2 | 2 | 4 | 0.7 | 0.6 8 | 2 | 3 | -6 | 4 | 0.3 | 1.3 9 | 2 | 4 | 5 | 10 | 1 | 1.6 10 | 2 | 5 | 10 | 12 | 0.6 | 2.6 11 | 2 | 6 | -3 | 12 | 0.4 | 3.2 12 | 2 | 7 | 11 | 13 | 1 | 3.6 13 | 2 | 8 | 12 | 15 | 0.6 | 4.6 14 | 2 | 9 | -2 | 15 | 0.4 | 5.2 15 | 2 | 10 | 9 | 9 | 1 | 5.6 16 | 2 | 11 | 6 | -1 | 0 | 6.6 (16 rows) /* --q3 */ SELECT * FROM pgr_withPointsKSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, -2, 2, driving_side := 'l', details := true); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | -1 | 1 | 0.6 | 0 2 | 1 | 2 | 2 | 4 | 0.7 | 0.6 3 | 1 | 3 | -6 | 4 | 0.3 | 1.3 4 | 1 | 4 | 5 | 8 | 1 | 1.6 5 | 1 | 5 | 6 | 9 | 1 | 2.6 6 | 1 | 6 | 9 | 15 | 1 | 3.6 7 | 1 | 7 | 12 | 15 | 0.6 | 4.6 8 | 1 | 8 | -2 | -1 | 0 | 5.2 9 | 2 | 1 | -1 | 1 | 0.6 | 0 10 | 2 | 2 | 2 | 4 | 0.7 | 0.6 11 | 2 | 3 | -6 | 4 | 0.3 | 1.3 12 | 2 | 4 | 5 | 8 | 1 | 1.6 13 | 2 | 5 | 6 | 11 | 1 | 2.6 14 | 2 | 6 | 11 | 13 | 1 | 3.6 15 | 2 | 7 | 12 | 15 | 0.6 | 4.6 16 | 2 | 8 | -2 | -1 | 0 | 5.2 (16 rows) /* --q4 */ SELECT * FROM pgr_withPointsKSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, -2, 2, heap_paths := true, driving_side := 'r', details := true); seq | path_id | path_seq | node | edge | cost | agg_cost -----+---------+----------+------+------+------+---------- 1 | 1 | 1 | -1 | 1 | 0.4 | 0 2 | 1 | 2 | 1 | 1 | 1 | 0.4 3 | 1 | 3 | 2 | 4 | 0.7 | 1.4 4 | 1 | 4 | -6 | 4 | 0.3 | 2.1 5 | 1 | 5 | 5 | 8 | 1 | 2.4 6 | 1 | 6 | 6 | 9 | 1 | 3.4 7 | 1 | 7 | 9 | 15 | 0.4 | 4.4 8 | 1 | 8 | -2 | -1 | 0 | 4.8 9 | 2 | 1 | -1 | 1 | 0.4 | 0 10 | 2 | 2 | 1 | 1 | 1 | 0.4 11 | 2 | 3 | 2 | 4 | 0.7 | 1.4 12 | 2 | 4 | -6 | 4 | 0.3 | 2.1 13 | 2 | 5 | 5 | 8 | 1 | 2.4 14 | 2 | 6 | 6 | 11 | 1 | 3.4 15 | 2 | 7 | 11 | 13 | 1 | 4.4 16 | 2 | 8 | 12 | 15 | 1 | 5.4 17 | 2 | 9 | 9 | 15 | 0.4 | 6.4 18 | 2 | 10 | -2 | -1 | 0 | 6.8 19 | 3 | 1 | -1 | 1 | 0.4 | 0 20 | 3 | 2 | 1 | 1 | 1 | 0.4 21 | 3 | 3 | 2 | 4 | 0.7 | 1.4 22 | 3 | 4 | -6 | 4 | 0.3 | 2.1 23 | 3 | 5 | 5 | 10 | 1 | 2.4 24 | 3 | 6 | 10 | 12 | 0.6 | 3.4 25 | 3 | 7 | -3 | 12 | 0.4 | 4 26 | 3 | 8 | 11 | 13 | 1 | 4.4 27 | 3 | 9 | 12 | 15 | 1 | 5.4 28 | 3 | 10 | 9 | 15 | 0.4 | 6.4 29 | 3 | 11 | -2 | -1 | 0 | 6.8 (29 rows) /* --q5 */ ROLLBACK; ROLLBACK pgrouting-3.3.0/docqueries/withPoints/doc-pgr_withPointsKSP.test.sql000066400000000000000000000017301414350551100257060ustar00rootroot00000000000000SET extra_float_digits=-3; /* --q1 */ SELECT * FROM pgr_withPointsKSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, -2, 2); /* --q2 */ SELECT * FROM pgr_withPointsKSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, 6, 2, details := true); /* --q3 */ SELECT * FROM pgr_withPointsKSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, -2, 2, driving_side := 'l', details := true); /* --q4 */ SELECT * FROM pgr_withPointsKSP( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', -1, -2, 2, heap_paths := true, driving_side := 'r', details := true); /* --q5 */ pgrouting-3.3.0/docqueries/withPoints/doc-pgr_withPointsVia.result000066400000000000000000000000001414350551100255160ustar00rootroot00000000000000pgrouting-3.3.0/docqueries/withPoints/doc-pgr_withPointsVia.test.sql000066400000000000000000000017411414350551100257720ustar00rootroot00000000000000SET extra_float_digits=-3; /* --q1 */ SELECT * FROM pgr_withPointsVia( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', ARRAY[1,3,5]); /* --q2 */ SELECT * FROM pgr_withPointsDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', 3, 3.0, driving_side := 'r', details := true); /* --q3 */ SELECT * FROM pgr_withPointsDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', 3, 3.0, driving_side := 'l', details := true); /* --q4 */ SELECT * FROM pgr_withPointsDD( 'SELECT id, source, target, cost, reverse_cost FROM edge_table ORDER BY id', 'SELECT pid, edge_id, fraction, side from pointsOfInterest', 3, 3.0, driving_side := 'b', details := true); /* --q5 */ pgrouting-3.3.0/docqueries/withPoints/test.conf000066400000000000000000000015001414350551100216670ustar00rootroot00000000000000#!/usr/bin/perl -w %main::tests = ( 'any' => { 'comment' => 'Function test for any versions.', 'data' => ['sampledata.data'], 'tests' => [qw( doc-pgr_withPoints doc-pgr_withPointsCost doc-pgr_withPointsCostMatrix doc-pgr_withPointsDD doc-pgr_withPointsKSP )], 'documentation' => [qw( doc-pgr_withPoints doc-pgr_withPointsCost doc-pgr_withPointsCostMatrix doc-pgr_withPointsDD doc-pgr_withPointsKSP )], 'linux' => [qw( doc-pgr_withPointsKSP )], 'cygwin' => [qw( doc-pgr_withPointsKSP-cygwin )], 'not on 2.2' => [qw( doc-pgr_withPointsVia )], }, ); 1; pgrouting-3.3.0/doxygen/000077500000000000000000000000001414350551100152075ustar00rootroot00000000000000pgrouting-3.3.0/doxygen/CMakeLists.txt000066400000000000000000000013071414350551100177500ustar00rootroot00000000000000# # Based on: # https://majewsky.wordpress.com/2010/08/14/tip-of-the-day-cmake-and-doxygen/ # option(BUILD_DOXY "Set ON|OFF (default=OFF) to build Developers Documentation" ON) if (BUILD_DOXY AND WITH_DOC) message(STATUS "Developers documentation.") find_package(Doxygen ${DOXYGEN_MINIMUM_VERSION}) if(DOXYGEN_FOUND) configure_file(${CMAKE_CURRENT_SOURCE_DIR}/Doxyfile.in ${CMAKE_CURRENT_BINARY_DIR}/Doxyfile @ONLY) add_custom_target(doxy ${DOXYGEN_EXECUTABLE} ${CMAKE_CURRENT_BINARY_DIR}/Doxyfile WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR} COMMENT "Generating API documentation with Doxygen" VERBATIM ) endif() endif() pgrouting-3.3.0/doxygen/Doxyfile.in000066400000000000000000003045461414350551100173360ustar00rootroot00000000000000# Doxyfile 1.8.7 # This file describes the settings to be used by the documentation system # doxygen (www.doxygen.org) for a project. # # All text after a double hash (##) is considered a comment and is placed in # front of the TAG it is preceding. # # All text after a single hash (#) is considered a comment and will be ignored. # The format is: # TAG = value [value, ...] # For lists, items can also be appended using: # TAG += value [value, ...] # Values that contain spaces should be placed between quotes (\" \"). #--------------------------------------------------------------------------- # Project related configuration options #--------------------------------------------------------------------------- # This tag specifies the encoding used for all characters in the config file # that follow. The default is UTF-8 which is also the encoding used for all text # before the first occurrence of this tag. Doxygen uses libiconv (or the iconv # built into libc) for the transcoding. See http://www.gnu.org/software/libiconv # for the list of possible encodings. # The default value is: UTF-8. DOXYFILE_ENCODING = UTF-8 # The PROJECT_NAME tag is a single word (or a sequence of words surrounded by # double-quotes, unless you are using Doxywizard) that should identify the # project for which the documentation is generated. This name is used in the # title of most generated pages and in a few other places. # The default value is: My Project. PROJECT_NAME = "@PROJECT_NAME@" # The PROJECT_NUMBER tag can be used to enter a project or revision number. This # could be handy for archiving the generated documentation or if some version # control system is used. PROJECT_NUMBER = "@PROJECT_SHORT_VERSION@" # Using the PROJECT_BRIEF tag one can provide an optional one line description # for a project that appears at the top of each page and should give viewer a # quick idea about the purpose of the project. Keep the description short. PROJECT_BRIEF = "@PROJECT_BRIEF@" # With the PROJECT_LOGO tag one can specify an logo or icon that is included in # the documentation. The maximum height of the logo should not exceed 55 pixels # and the maximum width should not exceed 200 pixels. Doxygen will copy the logo # to the output directory. PROJECT_LOGO = @CMAKE_CURRENT_SOURCE_DIR@/../doc/_static/images/pgrouting-logo.png # The OUTPUT_DIRECTORY tag is used to specify the (relative or absolute) path # into which the generated documentation will be written. If a relative path is # entered, it will be relative to the location where doxygen was started. If # left blank the current directory will be used. OUTPUT_DIRECTORY = @CMAKE_CURRENT_BINARY_DIR@ # If the CREATE_SUBDIRS tag is set to YES, then doxygen will create 4096 sub- # directories (in 2 levels) under the output directory of each output format and # will distribute the generated files over these directories. Enabling this # option can be useful when feeding doxygen a huge amount of source files, where # putting all generated files in the same directory would otherwise causes # performance problems for the file system. # The default value is: NO. CREATE_SUBDIRS = NO # If the ALLOW_UNICODE_NAMES tag is set to YES, doxygen will allow non-ASCII # characters to appear in the names of generated files. If set to NO, non-ASCII # characters will be escaped, for example _xE3_x81_x84 will be used for Unicode # U+3044. # The default value is: NO. #ALLOW_UNICODE_NAMES = NO # The OUTPUT_LANGUAGE tag is used to specify the language in which all # documentation generated by doxygen is written. Doxygen will use this # information to generate all constant output in the proper language. # Possible values are: Afrikaans, Arabic, Armenian, Brazilian, Catalan, Chinese, # Chinese-Traditional, Croatian, Czech, Danish, Dutch, English (United States), # Esperanto, Farsi (Persian), Finnish, French, German, Greek, Hungarian, # Indonesian, Italian, Japanese, Japanese-en (Japanese with English messages), # Korean, Korean-en (Korean with English messages), Latvian, Lithuanian, # Macedonian, Norwegian, Persian (Farsi), Polish, Portuguese, Romanian, Russian, # Serbian, Serbian-Cyrillic, Slovak, Slovene, Spanish, Swedish, Turkish, # Ukrainian and Vietnamese. # The default value is: English. OUTPUT_LANGUAGE = English # If the BRIEF_MEMBER_DESC tag is set to YES doxygen will include brief member # descriptions after the members that are listed in the file and class # documentation (similar to Javadoc). Set to NO to disable this. # The default value is: YES. BRIEF_MEMBER_DESC = YES # If the REPEAT_BRIEF tag is set to YES doxygen will prepend the brief # description of a member or function before the detailed description # # Note: If both HIDE_UNDOC_MEMBERS and BRIEF_MEMBER_DESC are set to NO, the # brief descriptions will be completely suppressed. # The default value is: YES. REPEAT_BRIEF = YES # This tag implements a quasi-intelligent brief description abbreviator that is # used to form the text in various listings. Each string in this list, if found # as the leading text of the brief description, will be stripped from the text # and the result, after processing the whole list, is used as the annotated # text. Otherwise, the brief description is used as-is. If left blank, the # following values are used ($name is automatically replaced with the name of # the entity):The $name class, The $name widget, The $name file, is, provides, # specifies, contains, represents, a, an and the. ABBREVIATE_BRIEF = # If the ALWAYS_DETAILED_SEC and REPEAT_BRIEF tags are both set to YES then # doxygen will generate a detailed section even if there is only a brief # description. # The default value is: NO. ALWAYS_DETAILED_SEC = YES # If the INLINE_INHERITED_MEMB tag is set to YES, doxygen will show all # inherited members of a class in the documentation of that class as if those # members were ordinary class members. Constructors, destructors and assignment # operators of the base classes will not be shown. # The default value is: NO. INLINE_INHERITED_MEMB = YES # If the FULL_PATH_NAMES tag is set to YES doxygen will prepend the full path # before files name in the file list and in the header files. If set to NO the # shortest path that makes the file name unique will be used # The default value is: YES. FULL_PATH_NAMES = NO # The STRIP_FROM_PATH tag can be used to strip a user-defined part of the path. # Stripping is only done if one of the specified strings matches the left-hand # part of the path. The tag can be used to show relative paths in the file list. # If left blank the directory from which doxygen is run is used as the path to # strip. # # Note that you can specify absolute paths here, but also relative paths, which # will be relative from the directory where doxygen is started. # This tag requires that the tag FULL_PATH_NAMES is set to YES. STRIP_FROM_PATH = # The STRIP_FROM_INC_PATH tag can be used to strip a user-defined part of the # path mentioned in the documentation of a class, which tells the reader which # header file to include in order to use a class. If left blank only the name of # the header file containing the class definition is used. Otherwise one should # specify the list of include paths that are normally passed to the compiler # using the -I flag. STRIP_FROM_INC_PATH = # If the SHORT_NAMES tag is set to YES, doxygen will generate much shorter (but # less readable) file names. This can be useful is your file systems doesn't # support long names like on DOS, Mac, or CD-ROM. # The default value is: NO. SHORT_NAMES = NO # If the JAVADOC_AUTOBRIEF tag is set to YES then doxygen will interpret the # first line (until the first dot) of a Javadoc-style comment as the brief # description. If set to NO, the Javadoc-style will behave just like regular Qt- # style comments (thus requiring an explicit @brief command for a brief # description.) # The default value is: NO. JAVADOC_AUTOBRIEF = YES # If the QT_AUTOBRIEF tag is set to YES then doxygen will interpret the first # line (until the first dot) of a Qt-style comment as the brief description. If # set to NO, the Qt-style will behave just like regular Qt-style comments (thus # requiring an explicit \brief command for a brief description.) # The default value is: NO. QT_AUTOBRIEF = YES # The MULTILINE_CPP_IS_BRIEF tag can be set to YES to make doxygen treat a # multi-line C++ special comment block (i.e. a block of //! or /// comments) as # a brief description. This used to be the default behavior. The new default is # to treat a multi-line C++ comment block as a detailed description. Set this # tag to YES if you prefer the old behavior instead. # # Note that setting this tag to YES also means that rational rose comments are # not recognized any more. # The default value is: NO. MULTILINE_CPP_IS_BRIEF = NO # If the INHERIT_DOCS tag is set to YES then an undocumented member inherits the # documentation from any documented member that it re-implements. # The default value is: YES. INHERIT_DOCS = YES # If the SEPARATE_MEMBER_PAGES tag is set to YES, then doxygen will produce a # new page for each member. If set to NO, the documentation of a member will be # part of the file/class/namespace that contains it. # The default value is: NO. SEPARATE_MEMBER_PAGES = NO # The TAB_SIZE tag can be used to set the number of spaces in a tab. Doxygen # uses this value to replace tabs by spaces in code fragments. # Minimum value: 1, maximum value: 16, default value: 4. TAB_SIZE = 4 # This tag can be used to specify a number of aliases that act as commands in # the documentation. An alias has the form: # name=value # For example adding # "sideeffect=@par Side Effects:\n" # will allow you to put the command \sideeffect (or @sideeffect) in the # documentation, which will result in a user-defined paragraph with heading # "Side Effects:". You can put \n's in the value part of an alias to insert # newlines. ALIASES = # This tag can be used to specify a number of word-keyword mappings (TCL only). # A mapping has the form "name=value". For example adding "class=itcl::class" # will allow you to use the command class in the itcl::class meaning. TCL_SUBST = # Set the OPTIMIZE_OUTPUT_FOR_C tag to YES if your project consists of C sources # only. Doxygen will then generate output that is more tailored for C. For # instance, some of the names that are used will be different. The list of all # members will be omitted, etc. # The default value is: NO. OPTIMIZE_OUTPUT_FOR_C = NO # Set the OPTIMIZE_OUTPUT_JAVA tag to YES if your project consists of Java or # Python sources only. Doxygen will then generate output that is more tailored # for that language. For instance, namespaces will be presented as packages, # qualified scopes will look different, etc. # The default value is: NO. OPTIMIZE_OUTPUT_JAVA = NO # Set the OPTIMIZE_FOR_FORTRAN tag to YES if your project consists of Fortran # sources. Doxygen will then generate output that is tailored for Fortran. # The default value is: NO. OPTIMIZE_FOR_FORTRAN = NO # Set the OPTIMIZE_OUTPUT_VHDL tag to YES if your project consists of VHDL # sources. Doxygen will then generate output that is tailored for VHDL. # The default value is: NO. OPTIMIZE_OUTPUT_VHDL = NO # Doxygen selects the parser to use depending on the extension of the files it # parses. With this tag you can assign which parser to use for a given # extension. Doxygen has a built-in mapping, but you can override or extend it # using this tag. The format is ext=language, where ext is a file extension, and # language is one of the parsers supported by doxygen: IDL, Java, Javascript, # C#, C, C++, D, PHP, Objective-C, Python, Fortran (fixed format Fortran: # FortranFixed, free formatted Fortran: FortranFree, unknown formatted Fortran: # Fortran. In the later case the parser tries to guess whether the code is fixed # or free formatted code, this is the default for Fortran type files), VHDL. For # instance to make doxygen treat .inc files as Fortran files (default is PHP), # and .f files as C (default is Fortran), use: inc=Fortran f=C. # # Note For files without extension you can use no_extension as a placeholder. # # Note that for custom extensions you also need to set FILE_PATTERNS otherwise # the files are not read by doxygen. EXTENSION_MAPPING = # If the MARKDOWN_SUPPORT tag is enabled then doxygen pre-processes all comments # according to the Markdown format, which allows for more readable # documentation. See http://daringfireball.net/projects/markdown/ for details. # The output of markdown processing is further processed by doxygen, so you can # mix doxygen, HTML, and XML commands with Markdown formatting. Disable only in # case of backward compatibilities issues. # The default value is: YES. MARKDOWN_SUPPORT = YES # When enabled doxygen tries to link words that correspond to documented # classes, or namespaces to their corresponding documentation. Such a link can # be prevented in individual cases by by putting a % sign in front of the word # or globally by setting AUTOLINK_SUPPORT to NO. # The default value is: YES. AUTOLINK_SUPPORT = YES # If you use STL classes (i.e. std::string, std::vector, etc.) but do not want # to include (a tag file for) the STL sources as input, then you should set this # tag to YES in order to let doxygen match functions declarations and # definitions whose arguments contain STL classes (e.g. func(std::string); # versus func(std::string) {}). This also make the inheritance and collaboration # diagrams that involve STL classes more complete and accurate. # The default value is: NO. BUILTIN_STL_SUPPORT = YES # If you use Microsoft's C++/CLI language, you should set this option to YES to # enable parsing support. # The default value is: NO. CPP_CLI_SUPPORT = NO # Set the SIP_SUPPORT tag to YES if your project consists of sip (see: # http://www.riverbankcomputing.co.uk/software/sip/intro) sources only. Doxygen # will parse them like normal C++ but will assume all classes use public instead # of private inheritance when no explicit protection keyword is present. # The default value is: NO. SIP_SUPPORT = NO # For Microsoft's IDL there are propget and propput attributes to indicate # getter and setter methods for a property. Setting this option to YES will make # doxygen to replace the get and set methods by a property in the documentation. # This will only work if the methods are indeed getting or setting a simple # type. If this is not the case, or you want to show the methods anyway, you # should set this option to NO. # The default value is: YES. IDL_PROPERTY_SUPPORT = YES # If member grouping is used in the documentation and the DISTRIBUTE_GROUP_DOC # tag is set to YES, then doxygen will reuse the documentation of the first # member in the group (if any) for the other members of the group. By default # all members of a group must be documented explicitly. # The default value is: NO. DISTRIBUTE_GROUP_DOC = NO # Set the SUBGROUPING tag to YES to allow class member groups of the same type # (for instance a group of public functions) to be put as a subgroup of that # type (e.g. under the Public Functions section). Set it to NO to prevent # subgrouping. Alternatively, this can be done per class using the # \nosubgrouping command. # The default value is: YES. SUBGROUPING = YES # When the INLINE_GROUPED_CLASSES tag is set to YES, classes, structs and unions # are shown inside the group in which they are included (e.g. using \ingroup) # instead of on a separate page (for HTML and Man pages) or section (for LaTeX # and RTF). # # Note that this feature does not work in combination with # SEPARATE_MEMBER_PAGES. # The default value is: NO. INLINE_GROUPED_CLASSES = NO # When the INLINE_SIMPLE_STRUCTS tag is set to YES, structs, classes, and unions # with only public data fields or simple typedef fields will be shown inline in # the documentation of the scope in which they are defined (i.e. file, # namespace, or group documentation), provided this scope is documented. If set # to NO, structs, classes, and unions are shown on a separate page (for HTML and # Man pages) or section (for LaTeX and RTF). # The default value is: NO. INLINE_SIMPLE_STRUCTS = NO # When TYPEDEF_HIDES_STRUCT tag is enabled, a typedef of a struct, union, or # enum is documented as struct, union, or enum with the name of the typedef. So # typedef struct TypeS {} TypeT, will appear in the documentation as a struct # with name TypeT. When disabled the typedef will appear as a member of a file, # namespace, or class. And the struct will be named TypeS. This can typically be # useful for C code in case the coding convention dictates that all compound # types are typedef'ed and only the typedef is referenced, never the tag name. # The default value is: NO. TYPEDEF_HIDES_STRUCT = NO # The size of the symbol lookup cache can be set using LOOKUP_CACHE_SIZE. This # cache is used to resolve symbols given their name and scope. Since this can be # an expensive process and often the same symbol appears multiple times in the # code, doxygen keeps a cache of pre-resolved symbols. If the cache is too small # doxygen will become slower. If the cache is too large, memory is wasted. The # cache size is given by this formula: 2^(16+LOOKUP_CACHE_SIZE). The valid range # is 0..9, the default is 0, corresponding to a cache size of 2^16=65536 # symbols. At the end of a run doxygen will report the cache usage and suggest # the optimal cache size from a speed point of view. # Minimum value: 0, maximum value: 9, default value: 0. LOOKUP_CACHE_SIZE = 0 #--------------------------------------------------------------------------- # Build related configuration options #--------------------------------------------------------------------------- # If the EXTRACT_ALL tag is set to YES doxygen will assume all entities in # documentation are documented, even if no documentation was available. Private # class members and static file members will be hidden unless the # EXTRACT_PRIVATE respectively EXTRACT_STATIC tags are set to YES. # Note: This will also disable the warnings about undocumented members that are # normally produced when WARNINGS is set to YES. # The default value is: NO. EXTRACT_ALL = YES # If the EXTRACT_PRIVATE tag is set to YES all private members of a class will # be included in the documentation. # The default value is: NO. EXTRACT_PRIVATE = YES # If the EXTRACT_PACKAGE tag is set to YES all members with package or internal # scope will be included in the documentation. # The default value is: NO. EXTRACT_PACKAGE = YES # If the EXTRACT_STATIC tag is set to YES all static members of a file will be # included in the documentation. # The default value is: NO. EXTRACT_STATIC = YES # If the EXTRACT_LOCAL_CLASSES tag is set to YES classes (and structs) defined # locally in source files will be included in the documentation. If set to NO # only classes defined in header files are included. Does not have any effect # for Java sources. # The default value is: YES. EXTRACT_LOCAL_CLASSES = YES # This flag is only useful for Objective-C code. When set to YES local methods, # which are defined in the implementation section but not in the interface are # included in the documentation. If set to NO only methods in the interface are # included. # The default value is: NO. EXTRACT_LOCAL_METHODS = NO # If this flag is set to YES, the members of anonymous namespaces will be # extracted and appear in the documentation as a namespace called # 'anonymous_namespace{file}', where file will be replaced with the base name of # the file that contains the anonymous namespace. By default anonymous namespace # are hidden. # The default value is: NO. EXTRACT_ANON_NSPACES = YES # If the HIDE_UNDOC_MEMBERS tag is set to YES, doxygen will hide all # undocumented members inside documented classes or files. If set to NO these # members will be included in the various overviews, but no documentation # section is generated. This option has no effect if EXTRACT_ALL is enabled. # The default value is: NO. HIDE_UNDOC_MEMBERS = NO # If the HIDE_UNDOC_CLASSES tag is set to YES, doxygen will hide all # undocumented classes that are normally visible in the class hierarchy. If set # to NO these classes will be included in the various overviews. This option has # no effect if EXTRACT_ALL is enabled. # The default value is: NO. HIDE_UNDOC_CLASSES = NO # If the HIDE_FRIEND_COMPOUNDS tag is set to YES, doxygen will hide all friend # (class|struct|union) declarations. If set to NO these declarations will be # included in the documentation. # The default value is: NO. HIDE_FRIEND_COMPOUNDS = NO # If the HIDE_IN_BODY_DOCS tag is set to YES, doxygen will hide any # documentation blocks found inside the body of a function. If set to NO these # blocks will be appended to the function's detailed documentation block. # The default value is: NO. HIDE_IN_BODY_DOCS = NO # The INTERNAL_DOCS tag determines if documentation that is typed after a # \internal command is included. If the tag is set to NO then the documentation # will be excluded. Set it to YES to include the internal documentation. # The default value is: NO. INTERNAL_DOCS = NO # If the CASE_SENSE_NAMES tag is set to NO then doxygen will only generate file # names in lower-case letters. If set to YES upper-case letters are also # allowed. This is useful if you have classes or files whose names only differ # in case and if your file system supports case sensitive file names. Windows # and Mac users are advised to set this option to NO. # The default value is: system dependent. CASE_SENSE_NAMES = YES # If the HIDE_SCOPE_NAMES tag is set to NO then doxygen will show members with # their full class and namespace scopes in the documentation. If set to YES the # scope will be hidden. # The default value is: NO. HIDE_SCOPE_NAMES = NO # If the SHOW_INCLUDE_FILES tag is set to YES then doxygen will put a list of # the files that are included by a file in the documentation of that file. # The default value is: YES. SHOW_INCLUDE_FILES = YES # If the SHOW_GROUPED_MEMB_INC tag is set to YES then Doxygen will add for each # grouped member an include statement to the documentation, telling the reader # The default value is: NO. SHOW_GROUPED_MEMB_INC = YES # If the FORCE_LOCAL_INCLUDES tag is set to YES then doxygen will list include # files with double quotes in the documentation rather than with sharp brackets. # The default value is: NO. FORCE_LOCAL_INCLUDES = YES # If the INLINE_INFO tag is set to YES then a tag [inline] is inserted in the # documentation for inline members. # The default value is: YES. INLINE_INFO = YES # If the SORT_MEMBER_DOCS tag is set to YES then doxygen will sort the # (detailed) documentation of file and class members alphabetically by member # name. If set to NO the members will appear in declaration order. # The default value is: YES. SORT_MEMBER_DOCS = YES # If the SORT_BRIEF_DOCS tag is set to YES then doxygen will sort the brief # descriptions of file, namespace and class members alphabetically by member # name. If set to NO the members will appear in declaration order. Note that # this will also influence the order of the classes in the class list. # The default value is: NO. SORT_BRIEF_DOCS = YES # If the SORT_MEMBERS_CTORS_1ST tag is set to YES then doxygen will sort the # (brief and detailed) documentation of class members so that constructors and # destructors are listed first. If set to NO the constructors will appear in the # respective orders defined by SORT_BRIEF_DOCS and SORT_MEMBER_DOCS. # Note: If SORT_BRIEF_DOCS is set to NO this option is ignored for sorting brief # member documentation. # Note: If SORT_MEMBER_DOCS is set to NO this option is ignored for sorting # detailed member documentation. # The default value is: NO. SORT_MEMBERS_CTORS_1ST = YES # If the SORT_GROUP_NAMES tag is set to YES then doxygen will sort the hierarchy # of group names into alphabetical order. If set to NO the group names will # appear in their defined order. # The default value is: NO. SORT_GROUP_NAMES = NO # If the SORT_BY_SCOPE_NAME tag is set to YES, the class list will be sorted by # fully-qualified names, including namespaces. If set to NO, the class list will # be sorted only by class name, not including the namespace part. # Note: This option is not very useful if HIDE_SCOPE_NAMES is set to YES. # Note: This option applies only to the class list, not to the alphabetical # list. # The default value is: NO. SORT_BY_SCOPE_NAME = YES # If the STRICT_PROTO_MATCHING option is enabled and doxygen fails to do proper # type resolution of all parameters of a function it will reject a match between # the prototype and the implementation of a member function even if there is # only one candidate or it is obvious which candidate to choose by doing a # simple string match. By disabling STRICT_PROTO_MATCHING doxygen will still # accept a match between prototype and implementation in such cases. # The default value is: NO. STRICT_PROTO_MATCHING = YES # The GENERATE_TODOLIST tag can be used to enable ( YES) or disable ( NO) the # todo list. This list is created by putting \todo commands in the # documentation. # The default value is: YES. GENERATE_TODOLIST = YES # The GENERATE_TESTLIST tag can be used to enable ( YES) or disable ( NO) the # test list. This list is created by putting \test commands in the # documentation. # The default value is: YES. GENERATE_TESTLIST = YES # The GENERATE_BUGLIST tag can be used to enable ( YES) or disable ( NO) the bug # list. This list is created by putting \bug commands in the documentation. # The default value is: YES. GENERATE_BUGLIST = YES # The GENERATE_DEPRECATEDLIST tag can be used to enable ( YES) or disable ( NO) # the deprecated list. This list is created by putting \deprecated commands in # the documentation. # The default value is: YES. GENERATE_DEPRECATEDLIST= YES # The ENABLED_SECTIONS tag can be used to enable conditional documentation # sections, marked by \if ... \endif and \cond # ... \endcond blocks. ENABLED_SECTIONS = # The MAX_INITIALIZER_LINES tag determines the maximum number of lines that the # initial value of a variable or macro / define can have for it to appear in the # documentation. If the initializer consists of more lines than specified here # it will be hidden. Use a value of 0 to hide initializers completely. The # appearance of the value of individual variables and macros / defines can be # controlled using \showinitializer or \hideinitializer command in the # documentation regardless of this setting. # Minimum value: 0, maximum value: 10000, default value: 30. MAX_INITIALIZER_LINES = 30 # Set the SHOW_USED_FILES tag to NO to disable the list of files generated at # the bottom of the documentation of classes and structs. If set to YES the list # will mention the files that were used to generate the documentation. # The default value is: YES. SHOW_USED_FILES = YES # Set the SHOW_FILES tag to NO to disable the generation of the Files page. This # will remove the Files entry from the Quick Index and from the Folder Tree View # (if specified). # The default value is: YES. SHOW_FILES = YES # Set the SHOW_NAMESPACES tag to NO to disable the generation of the Namespaces # page. This will remove the Namespaces entry from the Quick Index and from the # Folder Tree View (if specified). # The default value is: YES. SHOW_NAMESPACES = YES # The FILE_VERSION_FILTER tag can be used to specify a program or script that # doxygen should invoke to get the current version for each file (typically from # the version control system). Doxygen will invoke the program by executing (via # popen()) the command command input-file, where command is the value of the # FILE_VERSION_FILTER tag, and input-file is the name of an input file provided # by doxygen. Whatever the program writes to standard output is used as the file # version. For an example see the documentation. FILE_VERSION_FILTER = # The LAYOUT_FILE tag can be used to specify a layout file which will be parsed # by doxygen. The layout file controls the global structure of the generated # output files in an output format independent way. To create the layout file # that represents doxygen's defaults, run doxygen with the -l option. You can # optionally specify a file name after the option, if omitted DoxygenLayout.xml # will be used as the name of the layout file. # # Note that if you run doxygen from a directory containing a file called # DoxygenLayout.xml, doxygen will parse it automatically even if the LAYOUT_FILE # tag is left empty. LAYOUT_FILE = # The CITE_BIB_FILES tag can be used to specify one or more bib files containing # the reference definitions. This must be a list of .bib files. The .bib # extension is automatically appended if omitted. This requires the bibtex tool # to be installed. See also http://en.wikipedia.org/wiki/BibTeX for more info. # For LaTeX the style of the bibliography can be controlled using # LATEX_BIB_STYLE. To use this feature you need bibtex and perl available in the # search path. Do not use file names with spaces, bibtex cannot handle them. See # also \cite for info how to create references. CITE_BIB_FILES = #--------------------------------------------------------------------------- # Configuration options related to warning and progress messages #--------------------------------------------------------------------------- # The QUIET tag can be used to turn on/off the messages that are generated to # standard output by doxygen. If QUIET is set to YES this implies that the # messages are off. # The default value is: NO. QUIET = YES # The WARNINGS tag can be used to turn on/off the warning messages that are # generated to standard error ( stderr) by doxygen. If WARNINGS is set to YES # this implies that the warnings are on. # # Tip: Turn warnings on while writing the documentation. # The default value is: YES. WARNINGS = YES # If the WARN_IF_UNDOCUMENTED tag is set to YES, then doxygen will generate # warnings for undocumented members. If EXTRACT_ALL is set to YES then this flag # will automatically be disabled. # The default value is: YES. WARN_IF_UNDOCUMENTED = YES # If the WARN_IF_DOC_ERROR tag is set to YES, doxygen will generate warnings for # potential errors in the documentation, such as not documenting some parameters # in a documented function, or documenting parameters that don't exist or using # markup commands wrongly. # The default value is: YES. WARN_IF_DOC_ERROR = YES # This WARN_NO_PARAMDOC option can be enabled to get warnings for functions that # are documented, but have no documentation for their parameters or return # value. If set to NO doxygen will only warn about wrong or incomplete parameter # documentation, but not about the absence of documentation. # The default value is: NO. WARN_NO_PARAMDOC = YES # The WARN_FORMAT tag determines the format of the warning messages that doxygen # can produce. The string should contain the $file, $line, and $text tags, which # will be replaced by the file and line number from which the warning originated # and the warning text. Optionally the format may contain $version, which will # be replaced by the version of the file (if it could be obtained via # FILE_VERSION_FILTER) # The default value is: $file:$line: $text. WARN_FORMAT = "$file:$line: $text" # The WARN_LOGFILE tag can be used to specify a file to which warning and error # messages should be written. If left blank the output is written to standard # error (stderr). WARN_LOGFILE = ./LOG #--------------------------------------------------------------------------- # Configuration options related to the input files #--------------------------------------------------------------------------- # The INPUT tag is used to specify the files and/or directories that contain # documented source files. You may enter file names like myfile.cpp or # directories like /usr/src/myproject. Separate the files or directories with # spaces. # Note: If this tag is empty the current directory is searched. INPUT = @CMAKE_CURRENT_SOURCE_DIR@/../src @CMAKE_CURRENT_SOURCE_DIR@/../include @CMAKE_CURRENT_SOURCE_DIR@ # This tag can be used to specify the character encoding of the source files # that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses # libiconv (or the iconv built into libc) for the transcoding. See the libiconv # documentation (see: http://www.gnu.org/software/libiconv) for the list of # possible encodings. # The default value is: UTF-8. INPUT_ENCODING = UTF-8 # If the value of the INPUT tag contains directories, you can use the # FILE_PATTERNS tag to specify one or more wildcard patterns (like *.cpp and # *.h) to filter out the source-files in the directories. If left blank the # following patterns are tested:*.c, *.cc, *.cxx, *.cpp, *.c++, *.java, *.ii, # *.ixx, *.ipp, *.i++, *.inl, *.idl, *.ddl, *.odl, *.h, *.hh, *.hxx, *.hpp, # *.h++, *.cs, *.d, *.php, *.php4, *.php5, *.phtml, *.inc, *.m, *.markdown, # *.md, *.mm, *.dox, *.py, *.f90, *.f, *.for, *.tcl, *.vhd, *.vhdl, *.ucf, # *.qsf, *.as and *.js. FILE_PATTERNS = # The RECURSIVE tag can be used to specify whether or not subdirectories should # be searched for input files as well. # The default value is: NO. RECURSIVE = YES # The EXCLUDE tag can be used to specify files and/or directories that should be # excluded from the INPUT source files. This way you can easily exclude a # subdirectory from a directory tree whose root is specified with the INPUT tag. # # Note that relative paths are relative to the directory from which doxygen is # run. EXCLUDE = @CMAKE_CURRENT_SOURCE_DIR@/../include/boost # ../../tools ../../doc ../../build ../../cmake ../../.tx # The EXCLUDE_SYMLINKS tag can be used to select whether or not files or # directories that are symbolic links (a Unix file system feature) are excluded # from the input. # The default value is: NO. EXCLUDE_SYMLINKS = NO # If the value of the INPUT tag contains directories, you can use the # EXCLUDE_PATTERNS tag to specify one or more wildcard patterns to exclude # certain files from those directories. # # Note that the wildcards are matched against the file with absolute path, so to # exclude all test directories for example use the pattern */test/* EXCLUDE_PATTERNS = */notUsed/* */test/* */src/trsp/doc/README.md # The EXCLUDE_SYMBOLS tag can be used to specify one or more symbol names # (namespaces, classes, functions, etc.) that should be excluded from the # output. The symbol name can be a fully qualified name, a word, or if the # wildcard * is used, a substring. Examples: ANamespace, AClass, # AClass::ANamespace, ANamespace::*Test # # Note that the wildcards are matched against the file with absolute path, so to # exclude all test directories use the pattern */test/* EXCLUDE_SYMBOLS = # The EXAMPLE_PATH tag can be used to specify one or more files or directories # that contain example code fragments that are included (see the \include # command). EXAMPLE_PATH = # If the value of the EXAMPLE_PATH tag contains directories, you can use the # EXAMPLE_PATTERNS tag to specify one or more wildcard pattern (like *.cpp and # *.h) to filter out the source-files in the directories. If left blank all # files are included. EXAMPLE_PATTERNS = # If the EXAMPLE_RECURSIVE tag is set to YES then subdirectories will be # searched for input files to be used with the \include or \dontinclude commands # irrespective of the value of the RECURSIVE tag. # The default value is: NO. EXAMPLE_RECURSIVE = NO # The IMAGE_PATH tag can be used to specify one or more files or directories # that contain images that are to be included in the documentation (see the # \image command). IMAGE_PATH = @CMAKE_CURRENT_SOURCE_DIR@/../doc/_static/images/developers \ @CMAKE_CURRENT_SOURCE_DIR@/../doc/contraction/images # The INPUT_FILTER tag can be used to specify a program that doxygen should # invoke to filter for each input file. Doxygen will invoke the filter program # by executing (via popen()) the command: # # # # where is the value of the INPUT_FILTER tag, and is the # name of an input file. Doxygen will then use the output that the filter # program writes to standard output. If FILTER_PATTERNS is specified, this tag # will be ignored. # # Note that the filter must not add or remove lines; it is applied before the # code is scanned, but not when the output code is generated. If lines are added # or removed, the anchors will not be placed correctly. INPUT_FILTER = # The FILTER_PATTERNS tag can be used to specify filters on a per file pattern # basis. Doxygen will compare the file name with each pattern and apply the # filter if there is a match. The filters are a list of the form: pattern=filter # (like *.cpp=my_cpp_filter). See INPUT_FILTER for further information on how # filters are used. If the FILTER_PATTERNS tag is empty or if none of the # patterns match the file name, INPUT_FILTER is applied. FILTER_PATTERNS = # If the FILTER_SOURCE_FILES tag is set to YES, the input filter (if set using # INPUT_FILTER ) will also be used to filter the input files that are used for # producing the source files to browse (i.e. when SOURCE_BROWSER is set to YES). # The default value is: NO. FILTER_SOURCE_FILES = NO # The FILTER_SOURCE_PATTERNS tag can be used to specify source filters per file # pattern. A pattern will override the setting for FILTER_PATTERN (if any) and # it is also possible to disable source filtering for a specific pattern using # *.ext= (so without naming a filter). # This tag requires that the tag FILTER_SOURCE_FILES is set to YES. FILTER_SOURCE_PATTERNS = # If the USE_MDFILE_AS_MAINPAGE tag refers to the name of a markdown file that # is part of the input, its contents will be placed on the main page # (index.html). This can be useful if you have a project on for instance GitHub # and want to reuse the introduction page also for the doxygen output. USE_MDFILE_AS_MAINPAGE = ../../README.md #--------------------------------------------------------------------------- # Configuration options related to source browsing #--------------------------------------------------------------------------- # If the SOURCE_BROWSER tag is set to YES then a list of source files will be # generated. Documented entities will be cross-referenced with these sources. # # Note: To get rid of all source code in the generated output, make sure that # also VERBATIM_HEADERS is set to NO. # The default value is: NO. SOURCE_BROWSER = YES # Setting the INLINE_SOURCES tag to YES will include the body of functions, # classes and enums directly into the documentation. # The default value is: NO. INLINE_SOURCES = YES # Setting the STRIP_CODE_COMMENTS tag to YES will instruct doxygen to hide any # special comment blocks from generated source code fragments. Normal C, C++ and # Fortran comments will always remain visible. # The default value is: YES. STRIP_CODE_COMMENTS = YES # If the REFERENCED_BY_RELATION tag is set to YES then for each documented # function all documented functions referencing it will be listed. # The default value is: NO. REFERENCED_BY_RELATION = YES # If the REFERENCES_RELATION tag is set to YES then for each documented function # all documented entities called/used by that function will be listed. # The default value is: NO. REFERENCES_RELATION = YES # If the REFERENCES_LINK_SOURCE tag is set to YES and SOURCE_BROWSER tag is set # to YES, then the hyperlinks from functions in REFERENCES_RELATION and # REFERENCED_BY_RELATION lists will link to the source code. Otherwise they will # link to the documentation. # The default value is: YES. REFERENCES_LINK_SOURCE = YES # If SOURCE_TOOLTIPS is enabled (the default) then hovering a hyperlink in the # source code will show a tooltip with additional information such as prototype, # brief description and links to the definition and documentation. Since this # will make the HTML file larger and loading of large files a bit slower, you # can opt to disable this feature. # The default value is: YES. # This tag requires that the tag SOURCE_BROWSER is set to YES. SOURCE_TOOLTIPS = YES # If the USE_HTAGS tag is set to YES then the references to source code will # point to the HTML generated by the htags(1) tool instead of doxygen built-in # source browser. The htags tool is part of GNU's global source tagging system # (see http://www.gnu.org/software/global/global.html). You will need version # 4.8.6 or higher. # # To use it do the following: # - Install the latest version of global # - Enable SOURCE_BROWSER and USE_HTAGS in the config file # - Make sure the INPUT points to the root of the source tree # - Run doxygen as normal # # Doxygen will invoke htags (and that will in turn invoke gtags), so these # tools must be available from the command line (i.e. in the search path). # # The result: instead of the source browser generated by doxygen, the links to # source code will now point to the output of htags. # The default value is: NO. # This tag requires that the tag SOURCE_BROWSER is set to YES. USE_HTAGS = NO # If the VERBATIM_HEADERS tag is set the YES then doxygen will generate a # verbatim copy of the header file for each class for which an include is # specified. Set to NO to disable this. # See also: Section \class. # The default value is: YES. VERBATIM_HEADERS = YES #--------------------------------------------------------------------------- # Configuration options related to the alphabetical class index #--------------------------------------------------------------------------- # If the ALPHABETICAL_INDEX tag is set to YES, an alphabetical index of all # compounds will be generated. Enable this if the project contains a lot of # classes, structs, unions or interfaces. # The default value is: YES. ALPHABETICAL_INDEX = YES # The COLS_IN_ALPHA_INDEX tag can be used to specify the number of columns in # which the alphabetical index list will be split. # Minimum value: 1, maximum value: 20, default value: 5. # This tag requires that the tag ALPHABETICAL_INDEX is set to YES. COLS_IN_ALPHA_INDEX = 5 # In case all classes in a project start with a common prefix, all classes will # be put under the same header in the alphabetical index. The IGNORE_PREFIX tag # can be used to specify a prefix (or a list of prefixes) that should be ignored # while generating the index headers. # This tag requires that the tag ALPHABETICAL_INDEX is set to YES. IGNORE_PREFIX = #--------------------------------------------------------------------------- # Configuration options related to the HTML output #--------------------------------------------------------------------------- # If the GENERATE_HTML tag is set to YES doxygen will generate HTML output # The default value is: YES. GENERATE_HTML = YES # The HTML_OUTPUT tag is used to specify where the HTML docs will be put. If a # relative path is entered the value of OUTPUT_DIRECTORY will be put in front of # it. # The default directory is: html. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_OUTPUT = html # The HTML_FILE_EXTENSION tag can be used to specify the file extension for each # generated HTML page (for example: .htm, .php, .asp). # The default value is: .html. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_FILE_EXTENSION = .html # The HTML_HEADER tag can be used to specify a user-defined HTML header file for # each generated HTML page. If the tag is left blank doxygen will generate a # standard header. # # To get valid HTML the header file that includes any scripts and style sheets # that doxygen needs, which is dependent on the configuration options used (e.g. # the setting GENERATE_TREEVIEW). It is highly recommended to start with a # default header using # doxygen -w html new_header.html new_footer.html new_stylesheet.css # YourConfigFile # and then modify the file new_header.html. See also section "Doxygen usage" # for information on how to generate the default header that doxygen normally # uses. # Note: The header is subject to change so you typically have to regenerate the # default header when upgrading to a newer version of doxygen. For a description # of the possible markers and block names see the documentation. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_HEADER = # The HTML_FOOTER tag can be used to specify a user-defined HTML footer for each # generated HTML page. If the tag is left blank doxygen will generate a standard # footer. See HTML_HEADER for more information on how to generate a default # footer and what special commands can be used inside the footer. See also # section "Doxygen usage" for information on how to generate the default footer # that doxygen normally uses. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_FOOTER = # The HTML_STYLESHEET tag can be used to specify a user-defined cascading style # sheet that is used by each HTML page. It can be used to fine-tune the look of # the HTML output. If left blank doxygen will generate a default style sheet. # See also section "Doxygen usage" for information on how to generate the style # sheet that doxygen normally uses. # Note: It is recommended to use HTML_EXTRA_STYLESHEET instead of this tag, as # it is more robust and this tag (HTML_STYLESHEET) will in the future become # obsolete. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_STYLESHEET = # The HTML_EXTRA_STYLESHEET tag can be used to specify an additional user- # defined cascading style sheet that is included after the standard style sheets # created by doxygen. Using this option one can overrule certain style aspects. # This is preferred over using HTML_STYLESHEET since it does not replace the # standard style sheet and is therefor more robust against future updates. # Doxygen will copy the style sheet file to the output directory. For an example # see the documentation. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_EXTRA_STYLESHEET = # The HTML_EXTRA_FILES tag can be used to specify one or more extra images or # other source files which should be copied to the HTML output directory. Note # that these files will be copied to the base HTML output directory. Use the # $relpath^ marker in the HTML_HEADER and/or HTML_FOOTER files to load these # files. In the HTML_STYLESHEET file, use the file name only. Also note that the # files will be copied as-is; there are no commands or markers available. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_EXTRA_FILES = # The HTML_COLORSTYLE_HUE tag controls the color of the HTML output. Doxygen # will adjust the colors in the stylesheet and background images according to # this color. Hue is specified as an angle on a colorwheel, see # http://en.wikipedia.org/wiki/Hue for more information. For instance the value # 0 represents red, 60 is yellow, 120 is green, 180 is cyan, 240 is blue, 300 # purple, and 360 is red again. # Minimum value: 0, maximum value: 359, default value: 220. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_COLORSTYLE_HUE = 220 # The HTML_COLORSTYLE_SAT tag controls the purity (or saturation) of the colors # in the HTML output. For a value of 0 the output will use grayscales only. A # value of 255 will produce the most vivid colors. # Minimum value: 0, maximum value: 255, default value: 100. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_COLORSTYLE_SAT = 100 # The HTML_COLORSTYLE_GAMMA tag controls the gamma correction applied to the # luminance component of the colors in the HTML output. Values below 100 # gradually make the output lighter, whereas values above 100 make the output # darker. The value divided by 100 is the actual gamma applied, so 80 represents # a gamma of 0.8, The value 220 represents a gamma of 2.2, and 100 does not # change the gamma. # Minimum value: 40, maximum value: 240, default value: 80. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_COLORSTYLE_GAMMA = 80 # If the HTML_TIMESTAMP tag is set to YES then the footer of each generated HTML # page will contain the date and time when the page was generated. Setting this # to NO can help when comparing the output of multiple runs. # The default value is: YES. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_TIMESTAMP = YES # If the HTML_DYNAMIC_SECTIONS tag is set to YES then the generated HTML # documentation will contain sections that can be hidden and shown after the # page has loaded. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_DYNAMIC_SECTIONS = NO # With HTML_INDEX_NUM_ENTRIES one can control the preferred number of entries # shown in the various tree structured indices initially; the user can expand # and collapse entries dynamically later on. Doxygen will expand the tree to # such a level that at most the specified number of entries are visible (unless # a fully collapsed tree already exceeds this amount). So setting the number of # entries 1 will produce a full collapsed tree by default. 0 is a special value # representing an infinite number of entries and will result in a full expanded # tree by default. # Minimum value: 0, maximum value: 9999, default value: 100. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_INDEX_NUM_ENTRIES = 100 # If the GENERATE_DOCSET tag is set to YES, additional index files will be # generated that can be used as input for Apple's Xcode 3 integrated development # environment (see: http://developer.apple.com/tools/xcode/), introduced with # OSX 10.5 (Leopard). To create a documentation set, doxygen will generate a # Makefile in the HTML output directory. Running make will produce the docset in # that directory and running make install will install the docset in # ~/Library/Developer/Shared/Documentation/DocSets so that Xcode will find it at # startup. See http://developer.apple.com/tools/creatingdocsetswithdoxygen.html # for more information. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. GENERATE_DOCSET = NO # This tag determines the name of the docset feed. A documentation feed provides # an umbrella under which multiple documentation sets from a single provider # (such as a company or product suite) can be grouped. # The default value is: Doxygen generated docs. # This tag requires that the tag GENERATE_DOCSET is set to YES. DOCSET_FEEDNAME = "Doxygen generated docs" # This tag specifies a string that should uniquely identify the documentation # set bundle. This should be a reverse domain-name style string, e.g. # com.mycompany.MyDocSet. Doxygen will append .docset to the name. # The default value is: org.doxygen.Project. # This tag requires that the tag GENERATE_DOCSET is set to YES. DOCSET_BUNDLE_ID = org.doxygen.Project # The DOCSET_PUBLISHER_ID tag specifies a string that should uniquely identify # the documentation publisher. This should be a reverse domain-name style # string, e.g. com.mycompany.MyDocSet.documentation. # The default value is: org.doxygen.Publisher. # This tag requires that the tag GENERATE_DOCSET is set to YES. DOCSET_PUBLISHER_ID = org.doxygen.Publisher # The DOCSET_PUBLISHER_NAME tag identifies the documentation publisher. # The default value is: Publisher. # This tag requires that the tag GENERATE_DOCSET is set to YES. DOCSET_PUBLISHER_NAME = Publisher # If the GENERATE_HTMLHELP tag is set to YES then doxygen generates three # additional HTML index files: index.hhp, index.hhc, and index.hhk. The # index.hhp is a project file that can be read by Microsoft's HTML Help Workshop # (see: http://www.microsoft.com/en-us/download/details.aspx?id=21138) on # Windows. # # The HTML Help Workshop contains a compiler that can convert all HTML output # generated by doxygen into a single compiled HTML file (.chm). Compiled HTML # files are now used as the Windows 98 help format, and will replace the old # Windows help format (.hlp) on all Windows platforms in the future. Compressed # HTML files also contain an index, a table of contents, and you can search for # words in the documentation. The HTML workshop also contains a viewer for # compressed HTML files. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. GENERATE_HTMLHELP = NO # The CHM_FILE tag can be used to specify the file name of the resulting .chm # file. You can add a path in front of the file if the result should not be # written to the html output directory. # This tag requires that the tag GENERATE_HTMLHELP is set to YES. CHM_FILE = # The HHC_LOCATION tag can be used to specify the location (absolute path # including file name) of the HTML help compiler ( hhc.exe). If non-empty # doxygen will try to run the HTML help compiler on the generated index.hhp. # The file has to be specified with full path. # This tag requires that the tag GENERATE_HTMLHELP is set to YES. HHC_LOCATION = # The GENERATE_CHI flag controls if a separate .chi index file is generated ( # YES) or that it should be included in the master .chm file ( NO). # The default value is: NO. # This tag requires that the tag GENERATE_HTMLHELP is set to YES. GENERATE_CHI = NO # The CHM_INDEX_ENCODING is used to encode HtmlHelp index ( hhk), content ( hhc) # and project file content. # This tag requires that the tag GENERATE_HTMLHELP is set to YES. CHM_INDEX_ENCODING = # The BINARY_TOC flag controls whether a binary table of contents is generated ( # YES) or a normal table of contents ( NO) in the .chm file. Furthermore it # enables the Previous and Next buttons. # The default value is: NO. # This tag requires that the tag GENERATE_HTMLHELP is set to YES. BINARY_TOC = NO # The TOC_EXPAND flag can be set to YES to add extra items for group members to # the table of contents of the HTML help documentation and to the tree view. # The default value is: NO. # This tag requires that the tag GENERATE_HTMLHELP is set to YES. TOC_EXPAND = NO # If the GENERATE_QHP tag is set to YES and both QHP_NAMESPACE and # QHP_VIRTUAL_FOLDER are set, an additional index file will be generated that # can be used as input for Qt's qhelpgenerator to generate a Qt Compressed Help # (.qch) of the generated HTML documentation. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. GENERATE_QHP = NO # If the QHG_LOCATION tag is specified, the QCH_FILE tag can be used to specify # the file name of the resulting .qch file. The path specified is relative to # the HTML output folder. # This tag requires that the tag GENERATE_QHP is set to YES. QCH_FILE = # The QHP_NAMESPACE tag specifies the namespace to use when generating Qt Help # Project output. For more information please see Qt Help Project / Namespace # (see: http://qt-project.org/doc/qt-4.8/qthelpproject.html#namespace). # The default value is: org.doxygen.Project. # This tag requires that the tag GENERATE_QHP is set to YES. QHP_NAMESPACE = org.doxygen.Project # The QHP_VIRTUAL_FOLDER tag specifies the namespace to use when generating Qt # Help Project output. For more information please see Qt Help Project / Virtual # Folders (see: http://qt-project.org/doc/qt-4.8/qthelpproject.html#virtual- # folders). # The default value is: doc. # This tag requires that the tag GENERATE_QHP is set to YES. QHP_VIRTUAL_FOLDER = doc # If the QHP_CUST_FILTER_NAME tag is set, it specifies the name of a custom # filter to add. For more information please see Qt Help Project / Custom # Filters (see: http://qt-project.org/doc/qt-4.8/qthelpproject.html#custom- # filters). # This tag requires that the tag GENERATE_QHP is set to YES. QHP_CUST_FILTER_NAME = # The QHP_CUST_FILTER_ATTRS tag specifies the list of the attributes of the # custom filter to add. For more information please see Qt Help Project / Custom # Filters (see: http://qt-project.org/doc/qt-4.8/qthelpproject.html#custom- # filters). # This tag requires that the tag GENERATE_QHP is set to YES. QHP_CUST_FILTER_ATTRS = # The QHP_SECT_FILTER_ATTRS tag specifies the list of the attributes this # project's filter section matches. Qt Help Project / Filter Attributes (see: # http://qt-project.org/doc/qt-4.8/qthelpproject.html#filter-attributes). # This tag requires that the tag GENERATE_QHP is set to YES. QHP_SECT_FILTER_ATTRS = # The QHG_LOCATION tag can be used to specify the location of Qt's # qhelpgenerator. If non-empty doxygen will try to run qhelpgenerator on the # generated .qhp file. # This tag requires that the tag GENERATE_QHP is set to YES. QHG_LOCATION = # If the GENERATE_ECLIPSEHELP tag is set to YES, additional index files will be # generated, together with the HTML files, they form an Eclipse help plugin. To # install this plugin and make it available under the help contents menu in # Eclipse, the contents of the directory containing the HTML and XML files needs # to be copied into the plugins directory of eclipse. The name of the directory # within the plugins directory should be the same as the ECLIPSE_DOC_ID value. # After copying Eclipse needs to be restarted before the help appears. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. GENERATE_ECLIPSEHELP = NO # A unique identifier for the Eclipse help plugin. When installing the plugin # the directory name containing the HTML and XML files should also have this # name. Each documentation set should have its own identifier. # The default value is: org.doxygen.Project. # This tag requires that the tag GENERATE_ECLIPSEHELP is set to YES. ECLIPSE_DOC_ID = org.doxygen.Project # If you want full control over the layout of the generated HTML pages it might # be necessary to disable the index and replace it with your own. The # DISABLE_INDEX tag can be used to turn on/off the condensed index (tabs) at top # of each HTML page. A value of NO enables the index and the value YES disables # it. Since the tabs in the index contain the same information as the navigation # tree, you can set this option to YES if you also set GENERATE_TREEVIEW to YES. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. DISABLE_INDEX = NO # The GENERATE_TREEVIEW tag is used to specify whether a tree-like index # structure should be generated to display hierarchical information. If the tag # value is set to YES, a side panel will be generated containing a tree-like # index structure (just like the one that is generated for HTML Help). For this # to work a browser that supports JavaScript, DHTML, CSS and frames is required # (i.e. any modern browser). Windows users are probably better off using the # HTML help feature. Via custom stylesheets (see HTML_EXTRA_STYLESHEET) one can # further fine-tune the look of the index. As an example, the default style # sheet generated by doxygen has an example that shows how to put an image at # the root of the tree instead of the PROJECT_NAME. Since the tree basically has # the same information as the tab index, you could consider setting # DISABLE_INDEX to YES when enabling this option. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. GENERATE_TREEVIEW = YES # The ENUM_VALUES_PER_LINE tag can be used to set the number of enum values that # doxygen will group on one line in the generated HTML documentation. # # Note that a value of 0 will completely suppress the enum values from appearing # in the overview section. # Minimum value: 0, maximum value: 20, default value: 4. # This tag requires that the tag GENERATE_HTML is set to YES. ENUM_VALUES_PER_LINE = 4 # If the treeview is enabled (see GENERATE_TREEVIEW) then this tag can be used # to set the initial width (in pixels) of the frame in which the tree is shown. # Minimum value: 0, maximum value: 1500, default value: 250. # This tag requires that the tag GENERATE_HTML is set to YES. TREEVIEW_WIDTH = 250 # When the EXT_LINKS_IN_WINDOW option is set to YES doxygen will open links to # external symbols imported via tag files in a separate window. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. EXT_LINKS_IN_WINDOW = YES # Use this tag to change the font size of LaTeX formulas included as images in # the HTML documentation. When you change the font size after a successful # doxygen run you need to manually remove any form_*.png images from the HTML # output directory to force them to be regenerated. # Minimum value: 8, maximum value: 50, default value: 10. # This tag requires that the tag GENERATE_HTML is set to YES. FORMULA_FONTSIZE = 10 # Use the FORMULA_TRANSPARENT tag to determine whether or not the images # generated for formulas are transparent PNGs. Transparent PNGs are not # supported properly for IE 6.0, but are supported on all modern browsers. # # Note that when changing this option you need to delete any form_*.png files in # the HTML output directory before the changes have effect. # The default value is: YES. # This tag requires that the tag GENERATE_HTML is set to YES. FORMULA_TRANSPARENT = YES # Enable the USE_MATHJAX option to render LaTeX formulas using MathJax (see # http://www.mathjax.org) which uses client side Javascript for the rendering # instead of using prerendered bitmaps. Use this if you do not have LaTeX # installed or if you want to formulas look prettier in the HTML output. When # enabled you may also need to install MathJax separately and configure the path # to it using the MATHJAX_RELPATH option. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. USE_MATHJAX = NO # When MathJax is enabled you can set the default output format to be used for # the MathJax output. See the MathJax site (see: # http://docs.mathjax.org/en/latest/output.html) for more details. # Possible values are: HTML-CSS (which is slower, but has the best # compatibility), NativeMML (i.e. MathML) and SVG. # The default value is: HTML-CSS. # This tag requires that the tag USE_MATHJAX is set to YES. MATHJAX_FORMAT = HTML-CSS # When MathJax is enabled you need to specify the location relative to the HTML # output directory using the MATHJAX_RELPATH option. The destination directory # should contain the MathJax.js script. For instance, if the mathjax directory # is located at the same level as the HTML output directory, then # MATHJAX_RELPATH should be ../mathjax. The default value points to the MathJax # Content Delivery Network so you can quickly see the result without installing # MathJax. However, it is strongly recommended to install a local copy of # MathJax from http://www.mathjax.org before deployment. # The default value is: http://cdn.mathjax.org/mathjax/latest. # This tag requires that the tag USE_MATHJAX is set to YES. MATHJAX_RELPATH = http://cdn.mathjax.org/mathjax/latest # The MATHJAX_EXTENSIONS tag can be used to specify one or more MathJax # extension names that should be enabled during MathJax rendering. For example # MATHJAX_EXTENSIONS = TeX/AMSmath TeX/AMSsymbols # This tag requires that the tag USE_MATHJAX is set to YES. MATHJAX_EXTENSIONS = # The MATHJAX_CODEFILE tag can be used to specify a file with javascript pieces # of code that will be used on startup of the MathJax code. See the MathJax site # (see: http://docs.mathjax.org/en/latest/output.html) for more details. For an # example see the documentation. # This tag requires that the tag USE_MATHJAX is set to YES. MATHJAX_CODEFILE = # When the SEARCHENGINE tag is enabled doxygen will generate a search box for # the HTML output. The underlying search engine uses javascript and DHTML and # should work on any modern browser. Note that when using HTML help # (GENERATE_HTMLHELP), Qt help (GENERATE_QHP), or docsets (GENERATE_DOCSET) # there is already a search function so this one should typically be disabled. # For large projects the javascript based search engine can be slow, then # enabling SERVER_BASED_SEARCH may provide a better solution. It is possible to # search using the keyboard; to jump to the search box use + S # (what the is depends on the OS and browser, but it is typically # , /