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Posted to github@beam.apache.org by "ahmedabu98 (via GitHub)" <gi...@apache.org> on 2023/09/21 14:26:40 UTC

[GitHub] [beam] ahmedabu98 opened a new issue, #28587: [Bug]: Python's Storage API streaming writes via xlang is broken on Dataflow because it only runs on Runner V2

ahmedabu98 opened a new issue, #28587:
URL: https://github.com/apache/beam/issues/28587

   ### What happened?
   
   Java's Storage Write API streaming writes is broken when autosharding is enabled. The Python wrapper uses the Java implementation and runs exclusively on Runner V2. 
   
   To provide a workaround and unblock users, we should enable setting a fixed number of shards.
   
   ### Issue Priority
   
   Priority: 1 (data loss / total loss of function)
   
   ### Issue Components
   
   - [X] Component: Python SDK
   - [X] Component: Java SDK
   - [ ] Component: Go SDK
   - [ ] Component: Typescript SDK
   - [X] Component: IO connector
   - [ ] Component: Beam examples
   - [ ] Component: Beam playground
   - [ ] Component: Beam katas
   - [ ] Component: Website
   - [ ] 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] ahmedabu98 closed issue #28587: [Bug]: Python's Storage API streaming exactly-once writes on DataflowV2 is broken with autosharding, and it's the only option available

Posted by "ahmedabu98 (via GitHub)" <gi...@apache.org>.
ahmedabu98 closed issue #28587: [Bug]: Python's Storage API streaming exactly-once writes on DataflowV2 is broken with autosharding, and it's the only option available
URL: https://github.com/apache/beam/issues/28587


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