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https://issues.apache.org/jira/browse/MAPREDUCE-207?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14059583#comment-14059583
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Hadoop QA commented on MAPREDUCE-207:
-------------------------------------
{color:red}-1 overall{color}. Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12655331/MAPREDUCE-207.v07.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}. There were no new javadoc 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 2.0.3) warnings.
{color:green}+1 release audit{color}. The applied patch does not increase
the total number of release audit warnings.
{color:red}-1 core tests{color}. The test build failed in
hadoop-tools/hadoop-gridmix
{color:green}+1 contrib tests{color}. The patch passed contrib unit tests.
Test results:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/4730//testReport/
Console output:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/4730//console
This message is automatically generated.
> Computing Input Splits on the MR Cluster
> ----------------------------------------
>
> Key: MAPREDUCE-207
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-207
> Project: Hadoop Map/Reduce
> Issue Type: New Feature
> Components: applicationmaster, mrv2
> Reporter: Philip Zeyliger
> Assignee: Gera Shegalov
> Attachments: MAPREDUCE-207.patch, MAPREDUCE-207.v02.patch,
> MAPREDUCE-207.v03.patch, MAPREDUCE-207.v05.patch, MAPREDUCE-207.v06.patch,
> MAPREDUCE-207.v07.patch
>
>
> Instead of computing the input splits as part of job submission, Hadoop could
> have a separate "job task type" that computes the input splits, therefore
> allowing that computation to happen on the cluster.
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