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https://issues.apache.org/jira/browse/YARN-8513?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16610141#comment-16610141
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Chen Yufei commented on YARN-8513:
----------------------------------

[~leftnoteasy] Thanks for taking time to investigate this. 

 

The resource allocation scheme has no problem for me. I'm not able to turn on 
preemption in our cluster for now, is there any other way to avoid RM not 
responding to any other requests when the problem occurs?

> CapacityScheduler infinite loop when queue is near fully utilized
> -----------------------------------------------------------------
>
>                 Key: YARN-8513
>                 URL: https://issues.apache.org/jira/browse/YARN-8513
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: capacity scheduler, yarn
>    Affects Versions: 3.1.0, 2.9.1
>         Environment: Ubuntu 14.04.5 and 16.04.4
> YARN is configured with one label and 5 queues.
>            Reporter: Chen Yufei
>            Priority: Major
>         Attachments: jstack-1.log, jstack-2.log, jstack-3.log, jstack-4.log, 
> jstack-5.log, top-during-lock.log, top-when-normal.log, yarn3-jstack1.log, 
> yarn3-jstack2.log, yarn3-jstack3.log, yarn3-jstack4.log, yarn3-jstack5.log, 
> yarn3-resourcemanager.log, yarn3-top
>
>
> ResourceManager does not respond to any request when queue is near fully 
> utilized sometimes. Sending SIGTERM won't stop RM, only SIGKILL can. After RM 
> restart, it can recover running jobs and start accepting new ones.
>  
> Seems like CapacityScheduler is in an infinite loop printing out the 
> following log messages (more than 25,000 lines in a second):
>  
> {{2018-07-10 17:16:29,227 INFO 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> assignedContainer queue=root usedCapacity=0.99816763 
> absoluteUsedCapacity=0.99816763 used=<memory:16170624, vCores:1577> 
> cluster=<memory:29441544, vCores:5792>}}
> {{2018-07-10 17:16:29,227 INFO 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler:
>  Failed to accept allocation proposal}}
> {{2018-07-10 17:16:29,227 INFO 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.allocator.AbstractContainerAllocator:
>  assignedContainer application attempt=appattempt_1530619767030_1652_000001 
> container=null 
> queue=org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.allocator.RegularContainerAllocator@14420943
>  clusterResource=<memory:29441544, vCores:5792> type=NODE_LOCAL 
> requestedPartition=}}
>  
> I encounter this problem several times after upgrading to YARN 2.9.1, while 
> the same configuration works fine under version 2.7.3.
>  
> YARN-4477 is an infinite loop bug in FairScheduler, not sure if this is a 
> similar problem.
>  



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