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https://issues.apache.org/jira/browse/MAPREDUCE-3713?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13193452#comment-13193452
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Hudson commented on MAPREDUCE-3713:
-----------------------------------
Integrated in Hadoop-Common-trunk-Commit #1586 (See
[https://builds.apache.org/job/Hadoop-Common-trunk-Commit/1586/])
MAPREDUCE-3713. Fixed the way head-room is allocated to applications by
CapacityScheduler so that it deducts current-usage per user and not
per-application. Contributed by Arun C Murthy.
vinodkv :
http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1235989
Files :
* /hadoop/common/trunk/hadoop-mapreduce-project/CHANGES.txt
*
/hadoop/common/trunk/hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/SchedulerApp.java
*
/hadoop/common/trunk/hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/LeafQueue.java
*
/hadoop/common/trunk/hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fifo/FifoScheduler.java
*
/hadoop/common/trunk/hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/TestApplicationLimits.java
> Incorrect headroom reported to jobs
> -----------------------------------
>
> Key: MAPREDUCE-3713
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-3713
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: mrv2, resourcemanager
> Affects Versions: 0.23.0
> Reporter: Siddharth Seth
> Assignee: Arun C Murthy
> Priority: Blocker
> Fix For: 0.23.1
>
> Attachments: MAPREDUCE-3713.patch, MAPREDUCE-3713.patch,
> MAPREDUCE-3713.patch
>
>
> With multiple jobs submitted per user, and multiple users submitting jobs -
> the headroom reported to the AppMasters is incorrect (very high).
> Leads to a deadlock - reduces started, map tasks not complete... and reduces
> are not preempted by the AM due to the incorrect headroom.
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