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https://issues.apache.org/jira/browse/YARN-7560?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lei (Eddy) Xu updated YARN-7560:
--------------------------------
    Fix Version/s:     (was: 3.0.1)
                   3.0.3

> Resourcemanager hangs when  resourceUsedWithWeightToResourceRatio return a 
> overflow value 
> ------------------------------------------------------------------------------------------
>
>                 Key: YARN-7560
>                 URL: https://issues.apache.org/jira/browse/YARN-7560
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: fairscheduler, resourcemanager
>    Affects Versions: 3.0.0
>            Reporter: zhengchenyu
>            Assignee: zhengchenyu
>            Priority: Major
>             Fix For: 3.0.3
>
>         Attachments: YARN-7560.000.patch, YARN-7560.001.patch
>
>
> In our cluster, we changed the configuration, then refreshQueues, we found 
> the resourcemanager hangs. And the Resourcemanager can't restart 
> successfully. We got jstack information, always show like this:
> {code}
> "main" #1 prio=5 os_prio=0 tid=0x00007f98e8017000 nid=0x2f5 runnable 
> [0x00007f98eed9a000]
>    java.lang.Thread.State: RUNNABLE
>         at 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.policies.ComputeFairShares.resourceUsedWithWeightToResourceRatio(ComputeFairShares.java:182)
>         at 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.policies.ComputeFairShares.computeSharesInternal(ComputeFairShares.java:140)
>         at 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.policies.ComputeFairShares.computeSteadyShares(ComputeFairShares.java:66)
>         at 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.policies.FairSharePolicy.computeSteadyShares(FairSharePolicy.java:148)
>         at 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FSParentQueue.recomputeSteadyShares(FSParentQueue.java:102)
>         at 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.QueueManager.getQueue(QueueManager.java:148)
>         - locked <0x00007f8c4a8177a0> (a java.util.HashMap)
>         at 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.QueueManager.getLeafQueue(QueueManager.java:101)
>         at 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.QueueManager.updateAllocationConfiguration(QueueManager.java:387)
>         at 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler$AllocationReloadListener.onReload(FairScheduler.java:1728)
>         at 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.AllocationFileLoaderService.reloadAllocations(AllocationFileLoaderService.java:422)
>         - locked <0x00007f8c4a7eb2e0> (a 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.AllocationFileLoaderService)
>         at 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler.initScheduler(FairScheduler.java:1597)
>         at 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler.serviceInit(FairScheduler.java:1621)
>         at 
> org.apache.hadoop.service.AbstractService.init(AbstractService.java:163)
>         - locked <0x00007f8c4a76ac48> (a java.lang.Object)
>         at 
> org.apache.hadoop.service.CompositeService.serviceInit(CompositeService.java:107)
>         at 
> org.apache.hadoop.yarn.server.resourcemanager.ResourceManager$RMActiveServices.serviceInit(ResourceManager.java:569)
>         at 
> org.apache.hadoop.service.AbstractService.init(AbstractService.java:163)
>         - locked <0x00007f8c49254268> (a java.lang.Object)
>         at 
> org.apache.hadoop.yarn.server.resourcemanager.ResourceManager.createAndInitActiveServices(ResourceManager.java:997)
>         at 
> org.apache.hadoop.yarn.server.resourcemanager.ResourceManager.serviceInit(ResourceManager.java:257)
>         at 
> org.apache.hadoop.service.AbstractService.init(AbstractService.java:163)
>         - locked <0x00007f8c467495e0> (a java.lang.Object)
>         at 
> org.apache.hadoop.yarn.server.resourcemanager.ResourceManager.main(ResourceManager.java:1220)
> {code}
> When we debug the cluster, we found resourceUsedWithWeightToResourceRatio 
> return a negative value. So the loop can't return. We found in our cluster, 
> the sum of all minRes is over int.max, so 
> resourceUsedWithWeightToResourceRatio return a negative value.
> below is the loop. Because totalResource is long, so always postive. But 
> resourceUsedWithWeightToResourceRatio return int type. Our cluster is so big 
> that resourceUsedWithWeightToResourceRatio will return a overflow value, just 
> a negative. So the loop will never break.
> {code}
>     while (resourceUsedWithWeightToResourceRatio(rMax, schedulables, type)
>         < totalResource) {
>       rMax *= 2.0;
>     }
> {code}



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