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Posted to github@beam.apache.org by "mosche (via GitHub)" <gi...@apache.org> on 2023/03/06 15:43:47 UTC

[GitHub] [beam] mosche opened a new issue, #25737: [Task]: Spark Dataset runner should use default storage level MEMORY_AND_DISK

mosche opened a new issue, #25737:
URL: https://github.com/apache/beam/issues/25737

   ### What needs to happen?
   
   Depending on the API Spark uses different defaults as storage level:
   - RDD API: `MEMORY_ONLY`
   - Dataset API: `MEMORY_AND_DISK`
   
   Currently, the default storage level is set to `MEMORY_ONLY` for all runners. However, the default storage level of the Dataset runner should match Sparks default `MEMORY_AND_DISK`.
   
   ### Issue Priority
   
   Priority: 3 (nice-to-have improvement)
   
   ### 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] mosche closed issue #25737: [Task]: Spark Dataset runner should use default storage level MEMORY_AND_DISK

Posted by "mosche (via GitHub)" <gi...@apache.org>.
mosche closed issue #25737: [Task]: Spark Dataset runner should use default storage level MEMORY_AND_DISK
URL: https://github.com/apache/beam/issues/25737


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