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From "Greg Roelofs (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-2405) MR-279: Implement uber-AppMaster (in-cluster LocalJobRunner for MRv2)
Date Fri, 08 Apr 2011 03:16:36 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-2405?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13017249#comment-13017249
] 

Greg Roelofs commented on MAPREDUCE-2405:
-----------------------------------------

Thanks, Mahadev!  You're clearly a person of outstanding character, intelligence, and better-than-average
looks. :-)

(I'll just note here that there's further work/fixes to be done, particularly including counters,
UI, the memory and input-size uber-decision criteria, and AM-restart on task-attempt failures,
but I'll file a follow-up JIRA for that.)

> MR-279: Implement uber-AppMaster (in-cluster LocalJobRunner for MRv2)
> ---------------------------------------------------------------------
>
>                 Key: MAPREDUCE-2405
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-2405
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>          Components: mrv2
>            Reporter: Mahadev konar
>            Assignee: Greg Roelofs
>             Fix For: 0.23.0
>
>         Attachments: MR-2405-MR-1220-yarn.v10.MR-279-hadoop-yarn.patch.txt, MR-2405-MR-1220-yarn.v11.MR-279-hadoop-yarn.patch.txt,
MR-2405-MR-1220-yarn.v8.MR-279-hadoop-yarn.patch.txt
>
>
> "Port" MAPREDUCE-1220 to MRv2.  This is an optimization for small jobs wherein all tasks
run on the same node in the same JVM/container.

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