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Posted to issues@beam.apache.org by "Ismaël Mejía (Jira)" <ji...@apache.org> on 2020/03/05 11:41:00 UTC

[jira] [Assigned] (BEAM-5682) Reshuffle causes brittle pipelines on Spark runner

     [ https://issues.apache.org/jira/browse/BEAM-5682?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ismaël Mejía reassigned BEAM-5682:
----------------------------------

    Assignee:     (was: Amit Sela)

> Reshuffle causes brittle pipelines on Spark runner
> --------------------------------------------------
>
>                 Key: BEAM-5682
>                 URL: https://issues.apache.org/jira/browse/BEAM-5682
>             Project: Beam
>          Issue Type: Bug
>          Components: runner-spark
>            Reporter: Mike Kaplinskiy
>            Priority: Major
>
> The latest Spark releases have a bug which makes calls to {{repartition}} non-retriable (https://issues.apache.org/jira/browse/SPARK-25341) as a fix to https://issues.apache.org/jira/browse/SPARK-23243. Beam uses repartition as the implementation of {{Reshuffle}}. This makes beam-based spark pipelines not resilient when using {{Reshuffle}} - a single executor failure kills the entire pipeline.
> The fix that I have locally is just to remove the special-casing of {{Reshuffle}} in the spark runner (https://github.com/apache/beam/blob/279a05604b83a54e8e5a79e13d8761f94841f326/runners/spark/src/main/java/org/apache/beam/runners/spark/translation/TransformTranslator.java#L579). The reshuffle default expansion seems to do a fine job in reshuffling & the pipeline becomes resilient to executor failures.
> I'm not entirely sure if this is a beam bug or not, but I figure it's worth making others aware of the current behavior.



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