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https://issues.apache.org/jira/browse/MAPREDUCE-3490?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13179741#comment-13179741
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Hudson commented on MAPREDUCE-3490:
-----------------------------------
Integrated in Hadoop-Mapreduce-trunk-Commit #1513 (See
[https://builds.apache.org/job/Hadoop-Mapreduce-trunk-Commit/1513/])
MAPREDUCE-3490. Fixed MapReduce AM to count failed maps also towards Reduce
ramp up. Contributed by Sharad Agarwal and Arun C Murthy.
vinodkv :
http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1227226
Files :
* /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/mapreduce/v2/app/rm/RMContainerAllocator.java
*
/hadoop/common/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/test/java/org/apache/hadoop/mapreduce/v2/app/TestRMContainerAllocator.java
> RMContainerAllocator counts failed maps towards Reduce ramp up
> --------------------------------------------------------------
>
> Key: MAPREDUCE-3490
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-3490
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: mr-am, mrv2
> Affects Versions: 0.23.0
> Reporter: Siddharth Seth
> Assignee: Sharad Agarwal
> Priority: Blocker
> Fix For: 0.23.1
>
> Attachments: MAPREDUCE-3490.patch, MAPREDUCE-3490.patch,
> MAPREDUCE-3490.patch, MAPREDUCE-3490.patch, MAPREDUCE-3490.patch,
> MAPREDUCE-3490.patch, MAPREDUCE-3490.patch, MR-3490-alternate.patch,
> MR-3490-alternate1.patch
>
>
> The RMContainerAllocator does not differentiate between failed and successful
> maps while calculating whether reduce tasks are ready to launch. Failed tasks
> are also counted towards total completed tasks.
> Example. 4 failed maps, 10 total maps. Map%complete = 4/14 * 100 instead of
> being 0.
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