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https://issues.apache.org/jira/browse/YARN-8513?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16602323#comment-16602323
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Wangda Tan commented on YARN-8513:
----------------------------------
Interesting, it must be caused by CS allocation doesn't fully consider queue
maximum resource in some cases. Tried to look at related code, hasn't figured
out root case yet.
CS allocation phase relies on the logic of ResourceLimits passed by upper level
component (Parent of queues, queue of apps, etc.). Under some corner cases, the
ResourceLimits passed in could be larger than accurate.
[~Card], could u enable DEBUG log of
org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity, and rerun the
test? (or you can click "dump DEBUG log" in CS web UI) It gonna be helpful if
you can get a few seconds DEBUG log for our troubleshooting when the infinite
loop happens.
> 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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