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https://issues.apache.org/jira/browse/MAPREDUCE-722?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12728145#action_12728145
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Hemanth Yamijala commented on MAPREDUCE-722:
--------------------------------------------

Results of test patch

{noformat}
     [exec] -1 overall.
     [exec]
     [exec]     +1 @author.  The patch does not contain any @author tags.
     [exec]
     [exec]     +1 tests included.  The patch appears to include 3 new or 
modified tests.
     [exec]
     [exec]     +1 javadoc.  The javadoc tool did not generate any warning 
messages.
     [exec]
     [exec]     +1 javac.  The applied patch does not increase the total number 
of javac compiler warnings.
     [exec]
     [exec]     +1 findbugs.  The patch does not introduce any new Findbugs 
warnings.
     [exec]
     [exec]     -1 Eclipse classpath. The patch causes the Eclipse classpath to 
differ from the contents of the lib directories.
     [exec]
     [exec]     +1 release audit.  The applied patch does not increase the 
total number of release audit warnings.
{noformat}

The eclipse classpath problem can be ignored, as it does not play well with IVY.

The patch only touches capacity scheduler, whose tests pass locally.



> More slots are getting reserved for HiRAM job tasks then required
> -----------------------------------------------------------------
>
>                 Key: MAPREDUCE-722
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-722
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: contrib/capacity-sched
>         Environment: Cluster MR capacity=248/248 Map slot size=1500 mb and  
> reduce slot size=2048 mb. Total number of nodes=124
> 4 queues each having Capacity=25% User Limit=100%.
>            Reporter: Karam Singh
>            Assignee: Vinod K V
>         Attachments: MAPREDUCE-722.1.txt, MAPREDUCE-722.txt
>
>
> Submitted a normal job with map=124=reduces
> After submitted High RAM with maps=31=reduces map.memory=1800 
> reduce.memory=2800
> Again 3 job maps=124=reduces
> total of 248 slots were reserved for both maps and reduces for High Job which 
> much higher then required.
> Is observed in Hadoop 0.20.0

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