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https://issues.apache.org/jira/browse/YARN-8513?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16608213#comment-16608213
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Wangda Tan commented on YARN-8513:
----------------------------------

[~hustnn],

I agree that it is still a problem, but relatively minor because it won't 
change how scheduler allocate resources between queues.

If you could help to give detailed config of the existing problem cluster, 
include CS config, NM resources, size of containers / AM, user of each job , 
etc. I should be able to reproduce it by using UT, that should be more easier 
to figure out issue and prevent regression in the future.

I will travel next week, please expect some delays of my responses.

> 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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