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https://issues.apache.org/jira/browse/MAPREDUCE-3897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Eric Payne updated MAPREDUCE-3897:
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Attachment: MAPREDUCE-3897-2.txt
Updated patch so that maxActiveApplications remains calculated based on
absoluteMaxCapacity but modified so that only maxActiveApplicationsPerUser is
calculated based on absoluteCapacity.
This will limit the number of active apps for a single user to a percetage
corresponding the absolute capacity of the queue unless the user limit factor
is increased for that queue.
> capacity scheduler - maxActiveApplicationsPerUser calculation can be wrong
> --------------------------------------------------------------------------
>
> Key: MAPREDUCE-3897
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-3897
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: mrv2
> Affects Versions: 0.23.0
> Reporter: Thomas Graves
> Assignee: Eric Payne
> Priority: Critical
> Attachments: MAPREDUCE-3897-1.txt, MAPREDUCE-3897-1.txt,
> MAPREDUCE-3897-2.txt
>
>
> The capacity scheduler calculates the maxActiveApplications and the
> maxActiveApplicationsPerUser based on the config
> yarn.scheduler.capacity.maximum-applications or default 10000.
> MaxActiveApplications = max ( ceil ( clusterMemory/minAllocation *
> maxAMResource% * absoluteMaxCapacity), 1)
> MaxActiveAppsPerUser = max( ceil (maxActiveApplicationsComputedAbove *
> (userLimit%/100) * userLimitFactor), 1)
> maxActiveApplications is already multiplied by the queue absolute MAXIMUM
> capacity, so if max capacity > capacity and if you have user limit factor 1
> (which is the default) and only 1 user is running, that user will not be
> allowed to use over the queue capacity, so having it relative to MAX capacity
> doesn't make sense. That user could easily end up in a deadlock and all its
> space used by application masters.
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