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Posted to yarn-issues@hadoop.apache.org by "Weiwei Yang (JIRA)" <ji...@apache.org> on 2018/09/19 11:55:00 UTC

***UNCHECKED*** [jira] [Updated] (YARN-8771) CapacityScheduler fails to unreserve when cluster resource contains empty resource type

     [ https://issues.apache.org/jira/browse/YARN-8771?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Weiwei Yang updated YARN-8771:
------------------------------
    Fix Version/s:     (was: 3.0.4)

> CapacityScheduler fails to unreserve when cluster resource contains empty resource type
> ---------------------------------------------------------------------------------------
>
>                 Key: YARN-8771
>                 URL: https://issues.apache.org/jira/browse/YARN-8771
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: capacityscheduler
>    Affects Versions: 3.2.0
>            Reporter: Tao Yang
>            Assignee: Tao Yang
>            Priority: Critical
>             Fix For: 3.2.0, 3.1.2
>
>         Attachments: YARN-8771.001.patch, YARN-8771.002.patch, YARN-8771.003.patch, YARN-8771.004.patch
>
>
> We found this problem when cluster is almost but not exhausted (93% used), scheduler kept allocating for an app but always fail to commit, this can blocking requests from other apps and parts of cluster resource can't be used.
> Reproduce this problem:
> (1) use DominantResourceCalculator
> (2) cluster resource has empty resource type, for example: gpu=0
> (3) scheduler allocates container for app1 who has reserved containers and whose queue limit or user limit reached(used + required > limit). 
> Reference codes in RegularContainerAllocator#assignContainer:
> {code:java}
>     // How much need to unreserve equals to:
>     // max(required - headroom, amountNeedUnreserve)
>     Resource headRoom = Resources.clone(currentResoureLimits.getHeadroom());
>     Resource resourceNeedToUnReserve =
>         Resources.max(rc, clusterResource,
>             Resources.subtract(capability, headRoom),
>             currentResoureLimits.getAmountNeededUnreserve());
>     boolean needToUnreserve =
>         Resources.greaterThan(rc, clusterResource,
>             resourceNeedToUnReserve, Resources.none());
> {code}
> For example, resourceNeedToUnReserve can be <8GB, -6 cores, 0 gpu> when {{headRoom=<0GB, 8 vcores, 0 gpu>}} and {{capacity=<8GB, 2 vcores, 0 gpu>}}, needToUnreserve which is the result of {{Resources#greaterThan}} will be {{false}}. This is not reasonable because required resource did exceed the headroom and unreserve is needed.
> After that, when reaching the unreserve process in RegularContainerAllocator#assignContainer, unreserve process will be skipped when shouldAllocOrReserveNewContainer is true (when required containers > reserved containers) and needToUnreserve is wrongly calculated to be false:
> {code:java}
>     if (availableContainers > 0) {
>          if (rmContainer == null && reservationsContinueLooking
>           && node.getLabels().isEmpty()) {
>               // unreserve process can be wrongly skipped when shouldAllocOrReserveNewContainer=true and needToUnreserve=false but required resource did exceed the headroom
>               if (!shouldAllocOrReserveNewContainer || needToUnreserve) { 
>                     ... 
>               }
>          }
>     }
> {code}



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