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https://issues.apache.org/jira/browse/YARN-4844?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wangda Tan updated YARN-4844:
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Attachment: YARN-4844.11.patch
> Add getMemoryLong/getVirtualCoreLong to o.a.h.y.api.records.Resource
> --------------------------------------------------------------------
>
> Key: YARN-4844
> URL: https://issues.apache.org/jira/browse/YARN-4844
> Project: Hadoop YARN
> Issue Type: Sub-task
> Components: api
> Reporter: Wangda Tan
> Assignee: Wangda Tan
> Priority: Blocker
> Attachments: YARN-4844.1.patch, YARN-4844.10.patch,
> YARN-4844.11.patch, YARN-4844.2.patch, YARN-4844.3.patch, YARN-4844.4.patch,
> YARN-4844.5.patch, YARN-4844.6.patch, YARN-4844.7.patch,
> YARN-4844.8.branch-2.patch, YARN-4844.8.patch, YARN-4844.9.branch,
> YARN-4844.9.branch-2.patch
>
>
> We use int32 for memory now, if a cluster has 10k nodes, each node has 210G
> memory, we will get a negative total cluster memory.
> And another case that easier overflows int32 is: we added all pending
> resources of running apps to cluster's total pending resources. If a
> problematic app requires too much resources (let's say 1M+ containers, each
> of them has 3G containers), int32 will be not enough.
> Even if we can cap each app's pending request, we cannot handle the case that
> there're many running apps, each of them has capped but still significant
> numbers of pending resources.
> So we may possibly need to add getMemoryLong/getVirtualCoreLong to
> o.a.h.y.api.records.Resource.
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