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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2021/09/26 22:27:43 UTC

[GitHub] [spark] dongjoon-hyun commented on pull request #34109: [SPARK-36859][BUILD][K8S] Upgrade kubernetes-client to 5.8.0

dongjoon-hyun commented on pull request #34109:
URL: https://github.com/apache/spark/pull/34109#issuecomment-927382964


   Thank you for review, @viirya !
   
   On a local Minikube test, it passes all tests except a known issue failure `Test decommissioning with dynamic allocation & shuffle cleanups`. In Amplab environment, SparkR test is known to fail additionally due to the mismatch of SparkR version because Amplab machine has old R installations.
   ```
   KubernetesSuite:
   - Run SparkPi with no resources
   - Run SparkPi with no resources & statefulset allocation
   - Run SparkPi with a very long application name.
   - Use SparkLauncher.NO_RESOURCE
   - Run SparkPi with a master URL without a scheme.
   - Run SparkPi with an argument.
   - Run SparkPi with custom labels, annotations, and environment variables.
   - All pods have the same service account by default
   - Run extraJVMOptions check on driver
   - Run SparkRemoteFileTest using a remote data file
   - Verify logging configuration is picked from the provided SPARK_CONF_DIR/log4j.properties
   - Run SparkPi with env and mount secrets.
   - Run PySpark on simple pi.py example
   - Run PySpark to test a pyfiles example
   - Run PySpark with memory customization
   - Run in client mode.
   - Start pod creation from template
   - PVs with local hostpath storage on statefulsets
   - PVs with local hostpath and storageClass on statefulsets
   - PVs with local storage
   - Launcher client dependencies
   - SPARK-33615: Launcher client archives
   - SPARK-33748: Launcher python client respecting PYSPARK_PYTHON
   - SPARK-33748: Launcher python client respecting spark.pyspark.python and spark.pyspark.driver.python
   - Launcher python client dependencies using a zip file
   - Test basic decommissioning
   - Test basic decommissioning with shuffle cleanup
   - Test decommissioning with dynamic allocation & shuffle cleanups *** FAILED ***
   - Test decommissioning timeouts
   - Run SparkR on simple dataframe.R example
   Run completed in 18 minutes, 57 seconds.
   Total number of tests run: 30
   Suites: completed 2, aborted 0
   Tests: succeeded 29, failed 1, canceled 0, ignored 0, pending 0
   *** 1 TEST FAILED ***
   ```


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