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https://issues.apache.org/jira/browse/MAPREDUCE-3683?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13192269#comment-13192269
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Arun C Murthy commented on MAPREDUCE-3683:
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[~nroberts] the interesting case was:
a (25, UNDEFINED)
a.a1 (50, UNDEFINED) v/s a.a1 (50, 100)
In which case, given the previous definition of max-cap (i.e. prior to this
patch) this worked very differently... since max-cap was based on parent cap
rather than parent max-cap.
However, given the current change, that distinction might not be necessary. We
can fix that as a separate jira to unblock this bug, makes sense?
> Capacity scheduler LeafQueues maximum capacity calculation issues
> -----------------------------------------------------------------
>
> Key: MAPREDUCE-3683
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-3683
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: mrv2
> Affects Versions: 0.23.0
> Reporter: Thomas Graves
> Assignee: Arun C Murthy
> Priority: Blocker
> Attachments: MAPREDUCE-3683.patch, MAPREDUCE-3683.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
> take into account its parents maximum capacity when calculate its own maximum
> capacity, instead it seems to use the parents capacity. Looking at the code
> its using the parents absoluteCapacity and I think it should be using the
> parents absoluteMaximumCapacity.
> It also seems to only use the parents capacity in the leaf queues max
> capacity calculation when the leaf queue has a max capacity configured. If
> the leaf queues maximum-capacity is not configured, then it can use 100% of
> the cluster.
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