You are viewing a plain text version of this content. The canonical link for it is here.
Posted to mapreduce-issues@hadoop.apache.org by "Steve Loughran (Jira)" <ji...@apache.org> on 2020/09/14 21:54:00 UTC

[jira] [Commented] (MAPREDUCE-7282) MR v2 commit algorithm is dangerous, should be deprecated and not the default

    [ https://issues.apache.org/jira/browse/MAPREDUCE-7282?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17195750#comment-17195750 ] 

Steve Loughran commented on MAPREDUCE-7282:
-------------------------------------------

Further reading: https://github.com/steveloughran/zero-rename-committer/releases/tag/tag_draft_006

> MR v2 commit algorithm is dangerous, should be deprecated and not the default
> -----------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-7282
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-7282
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: mrv2
>    Affects Versions: 3.3.0, 3.2.1, 3.1.3, 3.3.1
>            Reporter: Steve Loughran
>            Priority: Major
>
> The v2 MR commit algorithm moves files from the task attempt dir into the dest dir on task commit -one by one
> It is therefore not atomic
> # if a task commit fails partway through and another task attempt commits -unless exactly the same filenames are used, output of the first attempt may be included in the final result
> # if a worker partitions partway through task commit, and then continues after another attempt has committed, it may partially overwrite the output -even when the filenames are the same
> Both MR and spark assume that task commits are atomic. Either they need to consider that this is not the case, we add a way to probe for a committer supporting atomic task commit, and the engines both add handling for task commit failures (probably fail job)
> Better: we remove this as the default, maybe also warn when it is being used



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

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