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https://issues.apache.org/jira/browse/YARN-1197?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14559928#comment-14559928
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Wangda Tan commented on YARN-1197:
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Hi [~mding],
I just completed clean up of sub JIRAs. I think some of them are too detailed.
For example, it will be very hard to split works in
FiCaSchedulerNode/FiCaSchedulerApp with changes of LeafQueue/ParentQueue.
Following are JIRAs after cleanup:
*API:*
YARN-1449, API in NM side to support change container resource.
YARN-1502, API changes in RM side to support change contaienr resource.
*Client:*
YARN-1509, AMRMClient
YARN-1510, NMClient
*NM implementation*
YARN-1643, ContainerMonitor changes in NM
*RM implementation*
YARN-1646, Support change container resource in RM.
YARN-1651, CapacityScheduler side changes.
I unassigned myself from many of these JIRAs, but I still plan to implement
changes in RM/CS side. For other JIRAs, please feel free to take.
> Support changing resources of an allocated container
> ----------------------------------------------------
>
> Key: YARN-1197
> URL: https://issues.apache.org/jira/browse/YARN-1197
> Project: Hadoop YARN
> Issue Type: Task
> Components: api, nodemanager, resourcemanager
> Affects Versions: 2.1.0-beta
> Reporter: Wangda Tan
> Attachments: YARN-1197_Design.pdf, mapreduce-project.patch.ver.1,
> tools-project.patch.ver.1, yarn-1197-scheduler-v1.pdf, yarn-1197-v2.pdf,
> yarn-1197-v3.pdf, yarn-1197-v4.pdf, yarn-1197-v5.pdf, yarn-1197.pdf,
> yarn-api-protocol.patch.ver.1, yarn-pb-impl.patch.ver.1,
> yarn-server-common.patch.ver.1, yarn-server-nodemanager.patch.ver.1,
> yarn-server-resourcemanager.patch.ver.1
>
>
> The current YARN resource management logic assumes resource allocated to a
> container is fixed during the lifetime of it. When users want to change a
> resource
> of an allocated container the only way is releasing it and allocating a new
> container with expected size.
> Allowing run-time changing resources of an allocated container will give us
> better control of resource usage in application side
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