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Posted to mapreduce-issues@hadoop.apache.org by "Hadoop QA (JIRA)" <ji...@apache.org> on 2013/05/30 12:05:21 UTC

[jira] [Commented] (MAPREDUCE-5279) mapreduce scheduling deadlock

    [ https://issues.apache.org/jira/browse/MAPREDUCE-5279?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13670190#comment-13670190 ] 

Hadoop QA commented on MAPREDUCE-5279:
--------------------------------------

{color:green}+1 overall{color}.  Here are the results of testing the latest attachment 
  http://issues.apache.org/jira/secure/attachment/12585385/MAPREDUCE-5279.patch
  against trunk revision .

    {color:green}+1 @author{color}.  The patch does not contain any @author tags.

    {color:green}+1 tests included{color}.  The patch appears to include 1 new or modified test files.

    {color:green}+1 javac{color}.  The applied patch does not increase the total number of javac compiler warnings.

    {color:green}+1 javadoc{color}.  The javadoc tool did not generate any warning messages.

    {color:green}+1 eclipse:eclipse{color}.  The patch built with eclipse:eclipse.

    {color:green}+1 findbugs{color}.  The patch does not introduce any new Findbugs (version 1.3.9) warnings.

    {color:green}+1 release audit{color}.  The applied patch does not increase the total number of release audit warnings.

    {color:green}+1 core tests{color}.  The patch passed unit tests in hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager.

    {color:green}+1 contrib tests{color}.  The patch passed contrib unit tests.

Test results: https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/3695//testReport/
Console output: https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/3695//console

This message is automatically generated.
                
> mapreduce scheduling deadlock
> -----------------------------
>
>                 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: PengZhang
>             Fix For: trunk
>
>         Attachments: MAPREDUCE-5279.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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