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https://issues.apache.org/jira/browse/YARN-1913?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14016116#comment-14016116
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Hudson commented on YARN-1913:
------------------------------

SUCCESS: Integrated in Hadoop-trunk-Commit #5646 (See 
[https://builds.apache.org/job/Hadoop-trunk-Commit/5646/])
YARN-1913. With Fair Scheduler, cluster can logjam when all resources are 
consumed by AMs (Wei Yan via Sandy Ryza) (sandy: 
http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1599400)
* /hadoop/common/trunk/hadoop-yarn-project/CHANGES.txt
* 
/hadoop/common/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/SchedulerApplicationAttempt.java
* 
/hadoop/common/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/AllocationConfiguration.java
* 
/hadoop/common/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/AllocationFileLoaderService.java
* 
/hadoop/common/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/AppSchedulable.java
* 
/hadoop/common/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FSLeafQueue.java
* 
/hadoop/common/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/SchedulingPolicy.java
* 
/hadoop/common/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/policies/DominantResourceFairnessPolicy.java
* 
/hadoop/common/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/policies/FairSharePolicy.java
* 
/hadoop/common/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/policies/FifoPolicy.java
* 
/hadoop/common/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FairSchedulerTestBase.java
* 
/hadoop/common/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/TestAllocationFileLoaderService.java
* 
/hadoop/common/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/TestFairScheduler.java
* 
/hadoop/common/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/apt/FairScheduler.apt.vm


> With Fair Scheduler, cluster can logjam when all resources are consumed by AMs
> ------------------------------------------------------------------------------
>
>                 Key: YARN-1913
>                 URL: https://issues.apache.org/jira/browse/YARN-1913
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: scheduler
>    Affects Versions: 2.3.0
>            Reporter: bc Wong
>            Assignee: Wei Yan
>             Fix For: 2.5.0
>
>         Attachments: YARN-1913.patch, YARN-1913.patch, YARN-1913.patch, 
> YARN-1913.patch, YARN-1913.patch, YARN-1913.patch, YARN-1913.patch, 
> YARN-1913.patch, YARN-1913.patch, YARN-1913.patch, YARN-1913.patch
>
>
> It's possible to deadlock a cluster by submitting many applications at once, 
> and have all cluster resources taken up by AMs.
> One solution is for the scheduler to limit resources taken up by AMs, as a 
> percentage of total cluster resources, via a "maxApplicationMasterShare" 
> config.



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