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https://issues.apache.org/jira/browse/MAPREDUCE-3681?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13191575#comment-13191575
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Hadoop QA commented on MAPREDUCE-3681:
--------------------------------------
+1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12511466/MAPREDUCE-3681.patch
against trunk revision .
+1 @author. The patch does not contain any @author tags.
+1 tests included. The patch appears to include 3 new or modified tests.
+1 javadoc. The javadoc tool did not generate any warning messages.
+1 javac. The applied patch does not increase the total number of javac
compiler warnings.
+1 eclipse:eclipse. The patch built with eclipse:eclipse.
+1 findbugs. The patch does not introduce any new Findbugs (version 1.3.9)
warnings.
+1 release audit. The applied patch does not increase the total number of
release audit warnings.
+1 core tests. The patch passed unit tests in .
+1 contrib tests. The patch passed contrib unit tests.
Test results:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/1653//testReport/
Console output:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/1653//console
This message is automatically generated.
> capacity scheduler LeafQueues calculate used capacity wrong
> -----------------------------------------------------------
>
> Key: MAPREDUCE-3681
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-3681
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: mrv2
> Affects Versions: 0.23.0
> Reporter: Thomas Graves
> Assignee: Arun C Murthy
> Priority: Critical
> Attachments: MAPREDUCE-3681.patch, MAPREDUCE-3681.patch,
> MAPREDUCE-3681.patch
>
>
> In the Capacity scheduler if you configure the queues to be hierarchical
> where you have root -> parent queue -> leaf queue, the leaf queue doesn't
> calculate the used capacity properly. It seems to be using the entire cluster
> memory rather then its parents memory capacity.
> In updateResource in LeafQueue:
> setUsedCapacity(
> usedResources.getMemory() / (clusterResource.getMemory() * capacity));
> I think the clusterResource.getMemory() should be something like
> getParentsMemory().
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