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https://issues.apache.org/jira/browse/YARN-4844?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15275022#comment-15275022
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Hadoop QA commented on YARN-4844:
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| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m 0s
{color} | {color:blue} Docker mode activated. {color} |
| {color:red}-1{color} | {color:red} patch {color} | {color:red} 0m 4s {color}
| {color:red} YARN-4844 does not apply to trunk. Rebase required? Wrong Branch?
See https://wiki.apache.org/hadoop/HowToContribute for help. {color} |
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|| Subsystem || Report/Notes ||
| JIRA Patch URL |
https://issues.apache.org/jira/secure/attachment/12802770/YARN-4844.6.patch |
| JIRA Issue | YARN-4844 |
| Console output |
https://builds.apache.org/job/PreCommit-YARN-Build/11370/console |
| Powered by | Apache Yetus 0.2.0 http://yetus.apache.org |
This message was automatically generated.
> 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-4844.2.patch, YARN-4844.3.patch,
> YARN-4844.4.patch, YARN-4844.5.patch, YARN-4844.6.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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