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Posted to mapreduce-issues@hadoop.apache.org by "Hudson (JIRA)" <ji...@apache.org> on 2013/11/14 09:11:28 UTC
[jira] [Commented] (MAPREDUCE-5481) Enable uber jobs to have
multiple reducers
[ https://issues.apache.org/jira/browse/MAPREDUCE-5481?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13822244#comment-13822244 ]
Hudson commented on MAPREDUCE-5481:
-----------------------------------
SUCCESS: Integrated in Hadoop-trunk-Commit #4734 (See [https://builds.apache.org/job/Hadoop-trunk-Commit/4734/])
MAPREDUCE-5481. Enable uber jobs to have multiple reducers (Sandy Ryza) (sandy: http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1541844)
* /hadoop/common/trunk/hadoop-mapreduce-project/CHANGES.txt
* /hadoop/common/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapred/LocalContainerLauncher.java
* /hadoop/common/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/v2/app/job/impl/JobImpl.java
* /hadoop/common/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/src/test/java/org/apache/hadoop/mapreduce/v2/TestUberAM.java
> Enable uber jobs to have multiple reducers
> -------------------------------------------
>
> Key: MAPREDUCE-5481
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-5481
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: mrv2, test
> Affects Versions: 3.0.0, 2.3.0
> Reporter: Jason Lowe
> Assignee: Sandy Ryza
> Priority: Blocker
> Fix For: 2.3.0
>
> Attachments: MAPREDUCE-5481-1.patch, MAPREDUCE-5481.patch, MAPREDUCE-5481.patch, syslog
>
>
> TestUberAM has been timing out on trunk for some time now and surefire then fails the build. I'm not able to reproduce it locally, but the Jenkins builds have been seeing it fairly consistently. See https://builds.apache.org/job/Hadoop-Mapreduce-trunk/1529/console
> This is caused by changes made in MAPREDUCE-434 breaking Uber AMs. The easiest fix is to make similar changes in Uber AMs to those in MAPREDUCE-434 to allow multiple reducers.
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