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https://issues.apache.org/jira/browse/SPARK-53575?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tengfei Huang updated SPARK-53575:
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Parent: SPARK-51756
Issue Type: Sub-task (was: Improvement)
> Retry entire consumer stages for ShuffleFetchFailed when the producer stage
> is non-deterministic
> ------------------------------------------------------------------------------------------------
>
> Key: SPARK-53575
> URL: https://issues.apache.org/jira/browse/SPARK-53575
> Project: Spark
> Issue Type: Sub-task
> Components: Spark Core
> Affects Versions: 4.0.1
> Reporter: Tengfei Huang
> Assignee: Tengfei Huang
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.1.0
>
>
> With https://issues.apache.org/jira/browse/SPARK-51756 we have computed a
> checksum for shuffle output which can be used to detect shuffle output
> changes while retrying.
> Once ShuffleFetchFailed happens and checksum mismatch detected, we need to
> retry the entire consumer stages since the producer stage generates different
> data across different attempts.
> In this case, retrying the failed tasks for the consumer stages is not
> sufficient, as the data may have been changed for other consumer tasks by the
> non-deterministic producers.
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