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Posted to mapreduce-issues@hadoop.apache.org by "Arun C Murthy (Updated) (JIRA)" <ji...@apache.org> on 2011/10/18 08:54:14 UTC
[jira] [Updated] (MAPREDUCE-2405) MR-279: Implement uber-AppMaster
(in-cluster LocalJobRunner for MRv2)
[ 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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