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https://issues.apache.org/jira/browse/MAPREDUCE-3490?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13174549#comment-13174549
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Hadoop QA commented on MAPREDUCE-3490:
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-1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12508329/MAPREDUCE-3490.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 generated 2310 javac compiler warnings (more
than the trunk's current 2308 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 failed these unit tests:
org.apache.hadoop.mapreduce.v2.app.TestKill
org.apache.hadoop.mapreduce.v2.app.TestRecovery
org.apache.hadoop.mapreduce.v2.app.TestFail
org.apache.hadoop.mapreduce.v2.app.TestFetchFailure
+1 contrib tests. The patch passed contrib unit tests.
Test results:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/1492//testReport/
Console output:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/1492//console
This message is automatically generated.
> RMContainerAllocator counts failed maps towards Reduce ramp up
> --------------------------------------------------------------
>
> Key: MAPREDUCE-3490
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-3490
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: mr-am, mrv2
> Affects Versions: 0.23.0
> Reporter: Siddharth Seth
> Assignee: Arun C Murthy
> Priority: Blocker
> Attachments: MAPREDUCE-3490.patch, MAPREDUCE-3490.patch,
> MAPREDUCE-3490.patch
>
>
> The RMContainerAllocator does not differentiate between failed and successful
> maps while calculating whether reduce tasks are ready to launch. Failed tasks
> are also counted towards total completed tasks.
> Example. 4 failed maps, 10 total maps. Map%complete = 4/14 * 100 instead of
> being 0.
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