[jira] [Updated] (SPARK-25341) Support rolling back a shuffle map stage and re-generate the shuffle files

["Dongjoon Hyun (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-25341?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun updated SPARK-25341:
----------------------------------
    Affects Version/s:     (was: 2.4.0)
                       3.0.0

> 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
>            Priority: Major
>
> 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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