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[SPARK-48054][PYTHON][CONNECT][INFRA] Backward compatibility test for…
… Spark Connect ### What changes were proposed in this pull request? This PR is a tentative try to run Spark 3.5 tests with Python Client 3.5 against Spark Connect server 4.0. ### Why are the changes needed? In order to make sure the compatibility between 3.5 and 4.0. ### Does this PR introduce _any_ user-facing change? No, testing-only. ### How was this patch tested? Within my own fork. ### Was this patch authored or co-authored using generative AI tooling? No. Closes apache#46298 from HyukjinKwon/SPARK-48054. Authored-by: Hyukjin Kwon <gurwls223@apache.org> Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
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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. | ||
# | ||
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name: Build / Spark Connect Python-only (master-server, 35-client, Python 3.11) | ||
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on: | ||
schedule: | ||
- cron: '0 21 * * *' | ||
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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: 100 | ||
if: github.repository == 'apache/spark' | ||
steps: | ||
- name: Checkout Spark repository | ||
uses: actions/checkout@v4 | ||
with: | ||
fetch-depth: 0 | ||
- name: Cache SBT and Maven | ||
uses: actions/cache@v4 | ||
with: | ||
path: | | ||
build/apache-maven-* | ||
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 Python dependencies | ||
run: | | ||
pip install 'numpy==1.25.1' 'pyarrow==12.0.1' 'pandas<=2.0.3' scipy unittest-xml-reporting plotly>=4.8 'mlflow>=2.3.1' coverage 'matplotlib==3.7.2' openpyxl 'memory-profiler==0.60.0' 'scikit-learn==1.1.*' | ||
# Add Python deps for Spark Connect. | ||
pip install 'grpcio>=1.48,<1.57' 'grpcio-status>=1.48,<1.57' 'protobuf==3.20.3' 'googleapis-common-protos==1.56.4' | ||
# Add torch as a testing dependency for TorchDistributor | ||
pip install 'torch==2.0.1' 'torchvision==0.15.2' torcheval | ||
- name: Run tests | ||
env: | ||
SPARK_TESTING: 1 | ||
SPARK_SKIP_JVM_REQUIRED_TESTS: 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 for local | ||
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`" | ||
# Checkout to branch-3.5 to use the tests in branch-3.5. | ||
cd .. | ||
git clone --single-branch --branch branch-3.5 $GITHUB_SERVER_URL/$GITHUB_REPOSITORY spark-3.5 | ||
cd spark-3.5 | ||
# Several tests related to catalog requires to run them sequencially, e.g., writing a table in a listener. | ||
# Run branch-3.5 tests | ||
./python/run-tests --parallelism=1 --python-executables=python3 --modules pyspark-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,pyspark-pandas-slow-connect | ||
- 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 |