feat: Add Tubi production configuration for Spark Kubernetes Operator#1
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feat: Add Tubi production configuration for Spark Kubernetes Operator#1
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### What changes were proposed in this pull request? This PR aims to update `GitHub Action` YAML file in `branch-0.6`. ### Why are the changes needed? To enable GitHub Action CI. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? CI is trigged on this PR and passes. ### Was this patch authored or co-authored using generative AI tooling? No. Closes apache#415 from dongjoon-hyun/SPARK-54167. Authored-by: Dongjoon Hyun <dongjoon@apache.org> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
- Add tubi-production-values.yaml for Helm chart configuration - Add manifests for Spark Connect Server, History Server, and batch jobs - Add PySpark test manifests for TensorFlow/wheel installation validation - Add upgrade script for operator version upgrades - Add TUBI_README.md with usage documentation Tested on scalamigo-v2-production cluster with: - Operator version 0.6.0 - Spark 3.5.3 with Scala 2.12 - S3 access via kiam/IRSA - TensorFlow and custom wheel installation
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Summary
This PR adds Tubi-specific configuration and manifests for running the Apache Spark Kubernetes Operator in production.
Changes
Configuration Files
tubi-production-values.yaml- Helm chart values for production deploymentupgrade-to-0.6.0.sh- Script for upgrading operator versions safelyManifests
manifests/spark-connect-server.yaml- Spark Connect Server with production configurationmanifests/spark-history-server.yaml- Spark History Server with S3 log storagemanifests/labeled-presentation-job.yaml- Example Scala batch jobPySpark Test Manifests
manifests/pyspark-test.yaml- Basic PySpark validationmanifests/pyspark-tensorflow-test.yaml- TensorFlow + wheel installation via init containermanifests/pyspark-s3-test.yaml- S3 pyFiles testmanifests/pyspark-wheel-test.yaml- Wheel distribution testDocumentation
TUBI_README.md- Usage documentation for Tubi engineersTested On
Notes