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Posted to mapreduce-issues@hadoop.apache.org by "Hadoop QA (JIRA)" <ji...@apache.org> on 2011/03/04 04:40:37 UTC
[jira] Commented: (MAPREDUCE-2323) Add metrics to the fair
scheduler
[ https://issues.apache.org/jira/browse/MAPREDUCE-2323?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13002435#comment-13002435 ]
Hadoop QA commented on MAPREDUCE-2323:
--------------------------------------
-1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12472627/mr-2323.txt
against trunk revision 1076804.
+1 @author. The patch does not contain any @author tags.
+1 tests included. The patch appears to include 6 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 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 core unit tests.
-1 contrib tests. The patch failed contrib unit tests.
+1 system test framework. The patch passed system test framework compile.
Test results: https://hudson.apache.org/hudson/job/PreCommit-MAPREDUCE-Build/116//testReport/
Findbugs warnings: https://hudson.apache.org/hudson/job/PreCommit-MAPREDUCE-Build/116//artifact/trunk/build/test/findbugs/newPatchFindbugsWarnings.html
Console output: https://hudson.apache.org/hudson/job/PreCommit-MAPREDUCE-Build/116//console
This message is automatically generated.
> Add metrics to the fair scheduler
> ---------------------------------
>
> Key: MAPREDUCE-2323
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-2323
> Project: Hadoop Map/Reduce
> Issue Type: New Feature
> Components: contrib/fair-share
> Affects Versions: 0.23.0
> Reporter: Todd Lipcon
> Assignee: Todd Lipcon
> Fix For: 0.23.0
>
> Attachments: mr-2323-20.txt, mr-2323.txt, mr-2323.txt
>
>
> It would be useful to be able to monitor various metrics in the fair scheduler, like demand, fair share, min share, and running task count.
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