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From "Arun C Murthy (Updated) (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (MAPREDUCE-2405) MR-279: Implement uber-AppMaster (in-cluster LocalJobRunner for MRv2)
Date Tue, 18 Oct 2011 06:54:14 GMT

     [ https://issues.apache.org/jira/browse/MAPREDUCE-2405?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Arun C Murthy updated MAPREDUCE-2405:
-------------------------------------

    Release Note: An efficient implementation of small jobs by running all tasks in the MR
ApplicationMaster JVM, there-by affecting lower latency.
    
> 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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