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https://issues.apache.org/jira/browse/MAPREDUCE-1198?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12779268#action_12779268
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Hadoop QA commented on MAPREDUCE-1198:
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-1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12425272/MAPREDUCE-1198-v2.patch
against trunk revision 881536.
+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 findbugs. The patch does not introduce any new Findbugs warnings.
+1 release audit. The applied patch does not increase the total number of
release audit warnings.
-1 core tests. The patch failed core unit tests.
+1 contrib tests. The patch passed contrib unit tests.
Test results:
http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h6.grid.sp2.yahoo.net/249/testReport/
Findbugs warnings:
http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h6.grid.sp2.yahoo.net/249/artifact/trunk/build/test/findbugs/newPatchFindbugsWarnings.html
Checkstyle results:
http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h6.grid.sp2.yahoo.net/249/artifact/trunk/build/test/checkstyle-errors.html
Console output:
http://hudson.zones.apache.org/hudson/job/Mapreduce-Patch-h6.grid.sp2.yahoo.net/249/console
This message is automatically generated.
> Alternatively schedule different types of tasks in fair share scheduler
> -----------------------------------------------------------------------
>
> Key: MAPREDUCE-1198
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-1198
> Project: Hadoop Map/Reduce
> Issue Type: Improvement
> Components: contrib/fair-share
> Affects Versions: 0.22.0
> Reporter: Scott Chen
> Assignee: Scott Chen
> Fix For: 0.22.0
>
> Attachments: MAPREDUCE-1198-v1.patch, MAPREDUCE-1198-v2.patch
>
>
> Matei has mentioned in MAPREDUCE-961 that the current scheduler will first
> try to launch map tasks until canLaunthTask() returns false then look for
> reduce tasks. This might starve reduce task. He also mention that
> alternatively schedule different types of tasks can solve this problem.
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