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https://issues.apache.org/jira/browse/MAPREDUCE-5279?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14134287#comment-14134287
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Hadoop QA commented on MAPREDUCE-5279:
--------------------------------------
{color:red}-1 overall{color}. Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12668819/apache-mapreduce-5279.3.patch
against trunk revision 43b0303.
{color:red}-1 patch{color}. The patch command could not apply the patch.
Console output:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/4878//console
This message is automatically generated.
> Jobs can deadlock if headroom is limited by cpu instead of memory
> -----------------------------------------------------------------
>
> Key: MAPREDUCE-5279
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-5279
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: mrv2, scheduler
> Affects Versions: 2.0.3-alpha
> Reporter: Peng Zhang
> Assignee: Peng Zhang
> Priority: Critical
> Attachments: MAPREDUCE-5279-v2.patch, MAPREDUCE-5279.patch,
> apache-mapreduce-5279.3.patch
>
>
> YARN-2 imported cpu dimension scheduling, but MR RMContainerAllocator doesn't
> take into account virtual cores while scheduling reduce tasks.
> This may cause more reduce tasks to be scheduled because memory is enough.
> And on a small cluster, this will end with deadlock, all running containers
> are reduce tasks but map phase is not finished.
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