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https://issues.apache.org/jira/browse/MAPREDUCE-5817?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14680708#comment-14680708
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Hadoop QA commented on MAPREDUCE-5817:
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| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | pre-patch |  15m 52s | Pre-patch trunk compilation is 
healthy. |
| {color:green}+1{color} | @author |   0m  0s | The patch does not contain any 
@author tags. |
| {color:green}+1{color} | tests included |   0m  0s | The patch appears to 
include 1 new or modified test files. |
| {color:green}+1{color} | javac |   7m 41s | There were no new javac warning 
messages. |
| {color:green}+1{color} | javadoc |   9m 40s | There were no new javadoc 
warning messages. |
| {color:green}+1{color} | release audit |   0m 21s | The applied patch does 
not increase the total number of release audit warnings. |
| {color:red}-1{color} | checkstyle |   0m 34s | The applied patch generated  3 
new checkstyle issues (total was 108, now 109). |
| {color:green}+1{color} | whitespace |   0m  0s | The patch has no lines that 
end in whitespace. |
| {color:green}+1{color} | install |   1m 21s | mvn install still works. |
| {color:green}+1{color} | eclipse:eclipse |   0m 31s | The patch built with 
eclipse:eclipse. |
| {color:green}+1{color} | findbugs |   1m  4s | The patch does not introduce 
any new Findbugs (version 3.0.0) warnings. |
| {color:red}-1{color} | mapreduce tests |   8m 52s | Tests failed in 
hadoop-mapreduce-client-app. |
| | |  46m  0s | |
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|| Reason || Tests ||
| Failed unit tests | hadoop.mapreduce.v2.app.TestJobEndNotifier |
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|| Subsystem || Report/Notes ||
| Patch URL | 
http://issues.apache.org/jira/secure/attachment/12638107/mapreduce-5817.patch |
| Optional Tests | javadoc javac unit findbugs checkstyle |
| git revision | trunk / 8f73bdd |
| checkstyle |  
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/5933/artifact/patchprocess/diffcheckstylehadoop-mapreduce-client-app.txt
 |
| hadoop-mapreduce-client-app test log | 
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/5933/artifact/patchprocess/testrun_hadoop-mapreduce-client-app.txt
 |
| Test Results | 
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/5933/testReport/ |
| Java | 1.7.0_55 |
| uname | Linux asf907.gq1.ygridcore.net 3.13.0-36-lowlatency #63-Ubuntu SMP 
PREEMPT Wed Sep 3 21:56:12 UTC 2014 x86_64 x86_64 x86_64 GNU/Linux |
| Console output | 
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/5933/console |


This message was automatically generated.

> mappers get rescheduled on node transition even after all reducers are 
> completed
> --------------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-5817
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-5817
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: applicationmaster
>    Affects Versions: 2.3.0
>            Reporter: Sangjin Lee
>            Assignee: Sangjin Lee
>              Labels: BB2015-05-TBR
>         Attachments: mapreduce-5817.patch
>
>
> We're seeing a behavior where a job runs long after all reducers were already 
> finished. We found that the job was rescheduling and running a number of 
> mappers beyond the point of reducer completion. In one situation, the job ran 
> for some 9 more hours after all reducers completed!
> This happens because whenever a node transition (to an unusable state) comes 
> into the app master, it just reschedules all mappers that already ran on the 
> node in all cases.
> Therefore, if any node transition has a potential to extend the job period. 
> Once this window opens, another node transition can prolong it, and this can 
> happen indefinitely in theory.
> If there is some instability in the pool (unhealthy, etc.) for a duration, 
> then any big job is severely vulnerable to this problem.
> If all reducers have been completed, JobImpl.actOnUnusableNode() should not 
> reschedule mapper tasks. If all reducers are completed, the mapper outputs 
> are no longer needed, and there is no need to reschedule mapper tasks as they 
> would not be consumed anyway.



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