You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/06/28 20:36:00 UTC

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

    [ https://issues.apache.org/jira/browse/SPARK-25341?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17147434#comment-17147434 ] 

Apache Spark commented on SPARK-25341:
--------------------------------------

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.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org