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From "Wangda Tan (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (YARN-4844) Upgrade fields of o.a.h.y.api.records.Resource from int32 to int64
Date Thu, 21 Apr 2016 23:01:13 GMT

     [ https://issues.apache.org/jira/browse/YARN-4844?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Wangda Tan updated YARN-4844:
-----------------------------
    Target Version/s: 2.8.0

> Upgrade fields of o.a.h.y.api.records.Resource from int32 to int64
> ------------------------------------------------------------------
>
>                 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: Critical
>
> 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 upgrade int32 memory field (could include v-cores as well)
to int64 to avoid integer overflow. 



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