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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2023/01/03 12:56:40 UTC

[GitHub] [beam] mosche opened a new issue, #24861: [Bug]: SparkSession factory in Spark Dataset runner is difficult to use with production like use cases.

mosche opened a new issue, #24861:
URL: https://github.com/apache/beam/issues/24861

   ### What happened?
   
   The most common way to submit jobs to a Spark cluster is to use `spark-submit`.
   
   The `SparkSessionFactory` of the experimental Spark Dataset runner doesn't handle that well:
   
   - Despite `spark.master` being set by `spark-submit`, it's overwritten by the respective PipelineOption which is `local[*]` by default.
   
   - Staging of classpath artifacts is broken as it's done after the session is already created. However, this is necessary when running on a cluster using a local driver.
   
   ### Issue Priority
   
   Priority: 2 (default / most bugs should be filed as P2)
   
   ### Issue Components
   
   - [ ] Component: Python SDK
   - [ ] Component: Java SDK
   - [ ] Component: Go SDK
   - [ ] Component: Typescript SDK
   - [ ] Component: IO connector
   - [ ] Component: Beam examples
   - [ ] Component: Beam playground
   - [ ] Component: Beam katas
   - [ ] Component: Website
   - [X] Component: Spark Runner
   - [ ] Component: Flink Runner
   - [ ] Component: Samza Runner
   - [ ] Component: Twister2 Runner
   - [ ] Component: Hazelcast Jet Runner
   - [ ] Component: Google Cloud Dataflow Runner


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[GitHub] [beam] echauchot closed issue #24861: [Bug]: SparkSession factory in Spark Dataset runner is difficult to use with production like use cases.

Posted by GitBox <gi...@apache.org>.
echauchot closed issue #24861: [Bug]: SparkSession factory in Spark Dataset runner is difficult to use with production like use cases.
URL: https://github.com/apache/beam/issues/24861


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