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https://issues.apache.org/jira/browse/MAPREDUCE-3681?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Graves updated MAPREDUCE-3681:
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Attachment: MAPREDUCE-3681.patch
I had made the updates for
usedCapacity = usedResources.getMemory() / (clusterResource.getMemory() *
parent.getAbsoluteCapacity())
while testing, here is what I was running.
> capacity scheduler LeafQueues calculate used capacity wrong
> -----------------------------------------------------------
>
> Key: MAPREDUCE-3681
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-3681
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: mrv2
> Affects Versions: 0.23.0
> Reporter: Thomas Graves
> Assignee: Arun C Murthy
> Priority: Critical
> Attachments: MAPREDUCE-3681.patch, MAPREDUCE-3681.patch,
> MAPREDUCE-3681.patch
>
>
> In the Capacity scheduler if you configure the queues to be hierarchical
> where you have root -> parent queue -> leaf queue, the leaf queue doesn't
> calculate the used capacity properly. It seems to be using the entire cluster
> memory rather then its parents memory capacity.
> In updateResource in LeafQueue:
> setUsedCapacity(
> usedResources.getMemory() / (clusterResource.getMemory() * capacity));
> I think the clusterResource.getMemory() should be something like
> getParentsMemory().
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