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https://issues.apache.org/jira/browse/MAPREDUCE-3451?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13412422#comment-13412422
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Hadoop QA commented on MAPREDUCE-3451:
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-1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12536147/MAPREDUCE-3451.v7.patch
against trunk revision .
+1 @author. The patch does not contain any @author tags.
+1 tests included. The patch appears to include 2 new or modified test
files.
+1 javac. The applied patch does not increase the total number of javac
compiler warnings.
+1 javadoc. The javadoc tool did not generate any warning messages.
+1 eclipse:eclipse. The patch built with eclipse:eclipse.
-1 findbugs. The patch appears to introduce 9 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
hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager
hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-site.
+1 contrib tests. The patch passed contrib unit tests.
Test results:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/2576//testReport/
Findbugs warnings:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/2576//artifact/trunk/patchprocess/newPatchFindbugsWarningshadoop-yarn-server-resourcemanager.html
Console output:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/2576//console
This message is automatically generated.
> Port Fair Scheduler to MR2
> --------------------------
>
> Key: MAPREDUCE-3451
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-3451
> Project: Hadoop Map/Reduce
> Issue Type: New Feature
> Components: mrv2, scheduler
> Reporter: Patrick Wendell
> Assignee: Patrick Wendell
> Attachments: MAPREDUCE-3451.v1.patch.txt,
> MAPREDUCE-3451.v2.patch.txt, MAPREDUCE-3451.v3.patch.txt,
> MAPREDUCE-3451.v4.patch.txt, MAPREDUCE-3451.v5.patch,
> MAPREDUCE-3451.v6.patch, MAPREDUCE-3451.v7.patch
>
>
> The Fair Scheduler is in widespread use today in MR1 clusters, but not yet
> ported to MR2. This is to track the porting of the Fair Scheduler to MR2 and
> will be updated to include design considerations and progress.
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