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https://issues.apache.org/jira/browse/YARN-999?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16775957#comment-16775957
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Íñigo Goiri commented on YARN-999:
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[^YARN-999.005.patch] includes full coverage in the tests.
Summarizing, the functionality is:
* It just reduces the resources if we don't give a timeout.
* Triggers preemption (notify AM) when we get the change of resources with a
timeout.
* Triggers killing in the heartbeats when the timeout is passed.
* It tries to preempt/kill OPPORTUNISTIC containers first, then GUARANTEED and
finally AMs (this is in creation time order).
[~djp], can you take a look and see if there is anything else left?
> In case of long running tasks, reduce node resource should balloon out
> resource quickly by calling preemption API and suspending running task.
> -----------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: YARN-999
> URL: https://issues.apache.org/jira/browse/YARN-999
> Project: Hadoop YARN
> Issue Type: Sub-task
> Components: graceful, nodemanager, scheduler
> Reporter: Junping Du
> Assignee: Íñigo Goiri
> Priority: Major
> Attachments: YARN-291.000.patch, YARN-999.001.patch,
> YARN-999.002.patch, YARN-999.003.patch, YARN-999.004.patch, YARN-999.005.patch
>
>
> In current design and implementation, when we decrease resource on node to
> less than resource consumption of current running tasks, tasks can still be
> running until the end. But just no new task get assigned on this node
> (because AvailableResource < 0) until some tasks are finished and
> AvailableResource > 0 again. This is good for most cases but in case of long
> running task, it could be too slow for resource setting to actually work so
> preemption could be used here.
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