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Posted to github@beam.apache.org by "mosche (via GitHub)" <gi...@apache.org> on 2023/03/08 13:04:50 UTC

[GitHub] [beam] mosche opened a new pull request, #25762: [Spark Dataset runner] Implement producer-consumer fusion for ParDos

mosche opened a new pull request, #25762:
URL: https://github.com/apache/beam/pull/25762

   Beam runners may choose to apply optimizations to a pipeline before it is executed. A key optimization, fusion, relates to ParDo operations. If one ParDo operation produces a PCollection that is then consumed as the main input of another ParDo operation, the two ParDo operations will be fused together into a single ParDo operation and run in a single pass; this is "producer-consumer fusion".
   
   This PR implements producer-consumer fusion for sequential ParDos in the Spark Dataset runner.
   
   Closes #25761
   
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[GitHub] [beam] aromanenko-dev commented on pull request #25762: [Spark Dataset runner] Implement producer-consumer fusion for ParDos

Posted by "aromanenko-dev (via GitHub)" <gi...@apache.org>.

aromanenko-dev commented on PR #25762:
URL: https://github.com/apache/beam/pull/25762#issuecomment-1466303877

   @echauchot Sure, I'll take a look


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