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From "Haibo Chen (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (YARN-8550) YARN root queue exceeds 100%
Date Tue, 21 Aug 2018 08:11:00 GMT

     [ https://issues.apache.org/jira/browse/YARN-8550?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Haibo Chen updated YARN-8550:
-----------------------------
    Labels: capacityscheduler  (was: )

> YARN root queue exceeds 100%
> ----------------------------
>
>                 Key: YARN-8550
>                 URL: https://issues.apache.org/jira/browse/YARN-8550
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: yarn
>    Affects Versions: 2.7.3
>            Reporter: Prabhu Joseph
>            Priority: Major
>              Labels: capacityscheduler
>         Attachments: Screen Shot 2018-07-13 at 1.42.41 PM.png
>
>
> YARN root queue usage is more than 100% which is misleading. (attached screenshot) This
happens when there is a container reserved and so used + reserved exceeds Total. Cluster is
configured with CPU Scheduling.
> {code}
> 2018-07-17 13:27:59,569 INFO  capacity.ParentQueue (ParentQueue.java:assignContainers(475))
- assignedContainer queue=root usedCapacity=0.9713542 absoluteUsedCapacity=0.9713542 used=<memory:763904,
vCores:83> cluster=<memory:786432, vCores:384>
> 2018-07-17 13:27:59,627 INFO  rmcontainer.RMContainerImpl (RMContainerImpl.java:handle(422))
- container_e56_1531419441577_2045_01_000003 Container Transitioned from NEW to RESERVED
> 2018-07-17 13:27:59,627 INFO  allocator.AbstractContainerAllocator (AbstractContainerAllocator.java:getCSAssignmentFromAllocateResult(77))
- Reserved container  application=application_1531419441577_2045 resource=<memory:53248,
vCores:2>
>  queue=org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.allocator.RegularContainerAllocator@2a1563f4
cluster=<memory:786432, vCores:384>
> 2018-07-17 13:27:59,627 INFO  capacity.ParentQueue (ParentQueue.java:assignContainers(475))
- assignedContainer queue=root usedCapacity=1.0390625 absoluteUsedCapacity=1.0390625 used=<memory:817152,
vCores:85> cluster=<memory:786432, vCores:384>
> {code}



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