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https://issues.apache.org/jira/browse/SPARK-25341?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17147434#comment-17147434
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Apache Spark commented on SPARK-25341:
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User 'warrenzhu25' has created a pull request for this issue:
https://github.com/apache/spark/pull/28941
> Support rolling back a shuffle map stage and re-generate the shuffle files
> --------------------------------------------------------------------------
>
> Key: SPARK-25341
> URL: https://issues.apache.org/jira/browse/SPARK-25341
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 3.0.0
> Reporter: Wenchen Fan
> Assignee: Yuanjian Li
> Priority: Major
> Fix For: 3.0.0
>
>
> This is a follow up of https://issues.apache.org/jira/browse/SPARK-23243
> To completely fix that problem, Spark needs to be able to rollback a shuffle
> map stage and rerun all the map tasks.
> According to https://github.com/apache/spark/pull/9214 , Spark doesn't
> support it currently, as in shuffle writing "first write wins".
> Since overwriting shuffle files is hard, we can extend the shuffle id to
> include a "shuffle generation number". Then the reduce task can specify which
> generation of shuffle it wants to read.
> https://github.com/apache/spark/pull/6648 seems in the right direction.
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