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https://issues.apache.org/jira/browse/MAPREDUCE-3897?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13221302#comment-13221302
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Thomas Graves commented on MAPREDUCE-3897:
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+1 for the formula change to fix the current issue described here. I haven't
had a chance to review the code in detail. I think there is still a bug in the
computation in that it uses the user minimum limit % in the calculation of
maxActiveApplicationPerUser, when really that need to factor in the number
active users. so similar to computeUserLimit function where it takes the max of
userlimit*capacity or capacity/activeusers.
Perhaps Arun can comment.
> 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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