Build / Spark Connect Python-only (master, Python 3.11) #5
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| # | |
| # Licensed to the Apache Software Foundation (ASF) under one | |
| # or more contributor license agreements. See the NOTICE file | |
| # distributed with this work for additional information | |
| # regarding copyright ownership. The ASF licenses this file | |
| # to you under the Apache License, Version 2.0 (the | |
| # "License"); you may not use this file except in compliance | |
| # with the License. You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, | |
| # software distributed under the License is distributed on an | |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | |
| # KIND, either express or implied. See the License for the | |
| # specific language governing permissions and limitations | |
| # under the License. | |
| # | |
| name: Build / Spark Connect Python-only (master, Python 3.11) | |
| on: | |
| schedule: | |
| - cron: '0 19 * * *' | |
| jobs: | |
| # Build: build Spark and run the tests for specified modules using SBT | |
| build: | |
| name: "Build modules: pyspark-connect" | |
| runs-on: ubuntu-latest | |
| timeout-minutes: 300 | |
| steps: | |
| - name: Checkout Spark repository | |
| uses: actions/checkout@v4 | |
| - name: Cache Scala, SBT and Maven | |
| uses: actions/cache@v4 | |
| with: | |
| path: | | |
| build/apache-maven-* | |
| build/scala-* | |
| build/*.jar | |
| ~/.sbt | |
| key: build-spark-connect-python-only-${{ hashFiles('**/pom.xml', 'project/build.properties', 'build/mvn', 'build/sbt', 'build/sbt-launch-lib.bash', 'build/spark-build-info') }} | |
| restore-keys: | | |
| build-spark-connect-python-only- | |
| - name: Cache Coursier local repository | |
| uses: actions/cache@v4 | |
| with: | |
| path: ~/.cache/coursier | |
| key: coursier-build-spark-connect-python-only-${{ hashFiles('**/pom.xml') }} | |
| restore-keys: | | |
| coursier-build-spark-connect-python-only- | |
| - name: Install Java 17 | |
| uses: actions/setup-java@v4 | |
| with: | |
| distribution: zulu | |
| java-version: 17 | |
| - name: Install Python 3.11 | |
| uses: actions/setup-python@v5 | |
| with: | |
| python-version: '3.11' | |
| architecture: x64 | |
| - name: Build Spark | |
| run: | | |
| ./build/sbt -Phive Test/package | |
| - name: Install pure Python package (pyspark-connect) | |
| env: | |
| SPARK_TESTING: 1 | |
| run: | | |
| cd python | |
| python packaging/connect/setup.py sdist | |
| cd dist | |
| pip install pyspark-connect-*.tar.gz | |
| pip install 'six==1.16.0' 'pandas<=2.2.2' scipy 'plotly>=4.8' 'mlflow>=2.8.1' coverage matplotlib openpyxl 'memory-profiler>=0.61.0' 'scikit-learn>=1.3.2' torch torchvision torcheval deepspeed unittest-xml-reporting | |
| - name: Run tests | |
| env: | |
| SPARK_TESTING: 1 | |
| SPARK_CONNECT_TESTING_REMOTE: sc://localhost | |
| run: | | |
| # Make less noisy | |
| cp conf/log4j2.properties.template conf/log4j2.properties | |
| sed -i 's/rootLogger.level = info/rootLogger.level = warn/g' conf/log4j2.properties | |
| # Start a Spark Connect server | |
| PYTHONPATH="python/lib/pyspark.zip:python/lib/py4j-0.10.9.7-src.zip:$PYTHONPATH" ./sbin/start-connect-server.sh \ | |
| --driver-java-options "-Dlog4j.configurationFile=file:$GITHUB_WORKSPACE/conf/log4j2.properties" \ | |
| --jars "`find connector/connect/server/target -name spark-connect-*SNAPSHOT.jar`,`find connector/protobuf/target -name spark-protobuf-*SNAPSHOT.jar`,`find connector/avro/target -name spark-avro*SNAPSHOT.jar`" | |
| # Make sure running Python workers that contains pyspark.core once. They will be reused. | |
| python -c "from pyspark.sql import SparkSession; _ = SparkSession.builder.remote('sc://localhost').getOrCreate().range(100).repartition(100).mapInPandas(lambda x: x, 'id INT').collect()" | |
| # Remove Py4J and PySpark zipped library to make sure there is no JVM connection | |
| rm python/lib/* | |
| rm -r python/pyspark | |
| # Several tests related to catalog requires to run them sequencially, e.g., writing a table in a listener. | |
| ./python/run-tests --parallelism=1 --python-executables=python3 --modules pyspark-connect,pyspark-ml-connect | |
| # None of tests are dependent on each other in Pandas API on Spark so run them in parallel | |
| ./python/run-tests --parallelism=4 --python-executables=python3 --modules pyspark-pandas-connect-part0,pyspark-pandas-connect-part1,pyspark-pandas-connect-part2,pyspark-pandas-connect-part3 | |
| - name: Upload test results to report | |
| if: always() | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| name: test-results-spark-connect-python-only | |
| path: "**/target/test-reports/*.xml" | |
| - name: Upload Spark Connect server log file | |
| if: failure() | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| name: unit-tests-log-spark-connect-python-only | |
| path: logs/*.out |