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https://issues.apache.org/jira/browse/MAPREDUCE-4228?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13402252#comment-13402252
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Hudson commented on MAPREDUCE-4228:
-----------------------------------

Integrated in Hadoop-Mapreduce-trunk #1122 (See 
[https://builds.apache.org/job/Hadoop-Mapreduce-trunk/1122/])
    MAPREDUCE-4228. mapreduce.job.reduce.slowstart.completedmaps is not working 
properly (Jason Lowe via bobby) (Revision 1354181)

     Result = FAILURE
bobby : http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1354181
Files : 
* /hadoop/common/trunk/hadoop-mapreduce-project/CHANGES.txt
* 
/hadoop/common/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/v2/app/rm/RMContainerAllocator.java
* 
/hadoop/common/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/test/java/org/apache/hadoop/mapreduce/v2/app/TestRMContainerAllocator.java

                
> mapreduce.job.reduce.slowstart.completedmaps is not working properly to delay 
> the scheduling of the reduce tasks
> ----------------------------------------------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-4228
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4228
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: applicationmaster, mrv2
>    Affects Versions: 0.23.1
>            Reporter: Jason Lowe
>            Assignee: Jason Lowe
>             Fix For: 0.23.3, 2.0.1-alpha, 3.0.0
>
>         Attachments: MAPREDUCE-4228.patch, MAPREDUCE-4228.patch, 
> MAPREDUCE-4228.patch
>
>
> If no more map tasks need to be scheduled but not all have completed, the 
> ApplicationMaster will start scheduling reducers even if the number of 
> completed maps has not met the mapreduce.job.reduce.slowstart.completedmaps 
> threshold.  For example, if the property is set to 1.0 all maps should 
> complete before any reducers are scheduled.  However the reducers are 
> scheduled as soon as the last map task is assigned to a container.  For a job 
> with very long-running maps, a cluster with enough capacity to launch all map 
> tasks could cause reducers to launch prematurely and waste cluster resources.
> Thanks to Phil Su for discovering this issue.

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