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From "Ravi Prakash (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (YARN-6378) Negative usedResources memory in CapacityScheduler
Date Mon, 10 Jul 2017 23:44:00 GMT

    [ https://issues.apache.org/jira/browse/YARN-6378?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16081355#comment-16081355
] 

Ravi Prakash edited comment on YARN-6378 at 7/10/17 11:43 PM:
--------------------------------------------------------------

Hi Filipp! Thanks for your report. Is the occurrence of the first negative usedResources correlated
with applications being moved between queues in your case too? You can check this easily from
the ResoureManager logs


was (Author: raviprak):
Hi Filipp! Thanks for your report. Is the occurrence of the first negative usedResources correlated
with applications being moved between queues in your case too?

> Negative usedResources memory in CapacityScheduler
> --------------------------------------------------
>
>                 Key: YARN-6378
>                 URL: https://issues.apache.org/jira/browse/YARN-6378
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: capacity scheduler, resourcemanager
>    Affects Versions: 2.6.0
>            Reporter: Ravi Prakash
>            Assignee: Ravi Prakash
>
> Courtesy Thomas Nystrand, we found that on two of our clusters configured with the CapacityScheduler,
usedResources occasionally becomes negative. 
> e.g.
> {code}
> 2017-03-15 11:10:09,449 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue:
assignedContainer application attempt=appattempt_1487222361993_17177_000001 container=Container:
[ContainerId: container_1487222361993_17177_01_000014, NodeId: <SOMENODE>:27249, NodeHttpAddress:
<SOMENODE>:8042, Resource: <memory:6656, vCores:1>, Priority: 2, Token: null,
] queue=<somequeuename>: capacity=0.2, absoluteCapacity=0.2, usedResources=<memory:-1024,
vCores:3>, usedCapacity=0.03409091, absoluteUsedCapacity=0.006818182, numApps=1, numContainers=3
clusterResource=<memory:1249280, vCores:440> type=RACK_LOCAL
> {code}



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