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https://issues.apache.org/jira/browse/MAPREDUCE-5841?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13978517#comment-13978517
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Hadoop QA commented on MAPREDUCE-5841:
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{color:red}-1 overall{color}. Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12641414/mapreduce-5841.patch
against trunk revision .
{color:green}+1 @author{color}. The patch does not contain any @author
tags.
{color:green}+1 tests included{color}. The patch appears to include 1 new
or modified test files.
{color:green}+1 javac{color}. The applied patch does not increase the
total number of javac compiler warnings.
{color:green}+1 javadoc{color}. There were no new javadoc warning messages.
{color:green}+1 eclipse:eclipse{color}. The patch built with
eclipse:eclipse.
{color:green}+1 findbugs{color}. The patch does not introduce any new
Findbugs (version 1.3.9) warnings.
{color:green}+1 release audit{color}. The applied patch does not increase
the total number of release audit warnings.
{color:red}-1 core tests{color}. The following test timeouts occurred in
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app:
org.apache.hadoop.mapreduce.v2.app.TestRMContainerAllocator
{color:green}+1 contrib tests{color}. The patch passed contrib unit tests.
Test results:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/4550//testReport/
Console output:
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/4550//console
This message is automatically generated.
> uber job doesn't terminate on getting mapred job kill
> -----------------------------------------------------
>
> Key: MAPREDUCE-5841
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-5841
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: mrv2
> Affects Versions: 2.3.0
> Reporter: Sangjin Lee
> Assignee: Sangjin Lee
> Attachments: mapreduce-5841.patch, mapreduce-5841.patch
>
>
> If you issue a "mapred job -kill" against a uberized job, the job (and the
> yarn application) state transitions to KILLED, but the application master
> process continues to run. The job actually runs to completion despite the
> killed status.
> This can be easily reproduced by running a sleep job:
> {noformat}
> hadoop jar hadoop-mapreduce-client-jobclient-2.3.0-tests.jar sleep -m 1 -r 0
> -mt 300000
> {noformat}
> Issue a kill with "mapred job -kill \[job-id\]". The UI will show the job
> (app) is in the KILLED state. However, you can see the application master is
> still running.
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