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https://issues.apache.org/jira/browse/YARN-10588?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shilun Fan updated YARN-10588:
------------------------------
          Component/s: resourcemanager
         Hadoop Flags: Reviewed
     Target Version/s: 3.2.3, 2.10.2, 3.3.1, 3.4.0
    Affects Version/s: 3.2.3
                       2.10.2
                       3.3.1
                       3.4.0

> Percentage of queue and cluster is zero in WebUI 
> -------------------------------------------------
>
>                 Key: YARN-10588
>                 URL: https://issues.apache.org/jira/browse/YARN-10588
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: resourcemanager
>    Affects Versions: 3.4.0, 3.3.1, 2.10.2, 3.2.3
>            Reporter: Bilwa S T
>            Assignee: Bilwa S T
>            Priority: Major
>             Fix For: 3.4.0, 3.3.1, 2.10.2, 3.2.3
>
>         Attachments: YARN-10588.001.patch, YARN-10588.002.patch, 
> YARN-10588.003.patch, YARN-10588.004.patch
>
>
> Steps to reproduce:
> Configure below property in resource-types.xml
> {code:java}
> <property>
>  <name>yarn.resource-types</name>
>  <value>yarn.io/gpu</value>
>  </property>{code}
> Submit a job
> In UI you can see % Of Queue and % Of Cluster is zero for the submitted 
> application
>  
> This is because in SchedulerApplicationAttempt has below check for 
> calculating queueUsagePerc and clusterUsagePerc
> {code:java}
> if (!calc.isInvalidDivisor(cluster)) {
>         float queueCapacityPerc = queue.getQueueInfo(false, false)
>             .getCapacity();
>         queueUsagePerc = calc.divide(cluster, usedResourceClone,
>             Resources.multiply(cluster, queueCapacityPerc)) * 100;
>         if (Float.isNaN(queueUsagePerc) || Float.isInfinite(queueUsagePerc)) {
>           queueUsagePerc = 0.0f;
>         }
>         clusterUsagePerc =
>             calc.divide(cluster, usedResourceClone, cluster) * 100;
>       }
> {code}
> calc.isInvalidDivisor(cluster) always returns true as gpu resource is 0



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