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https://issues.apache.org/jira/browse/YARN-11398?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Daniel Ma updated YARN-11398:
-----------------------------
    Description: 
ResourceManager DelegationTokenRenewer timeout feature may cause high 
utilization of CPU and object leak.
1-If yarn cluster is in idle state, that is almost no token renewer event 
triggered, the DelegationTokenRenewerPoolTracker thread will do nothing but 
dead loop, it will cause high CPU utilization.

2-The renewer event is hold in a map named futures, there is no removal logic , 
the map will become increasingly big with time going by.

  was:
ResourceManager DelegationTokenRenewer timeout feature may cause high 
utilization of CPU and object leak.
1-If yarn cluster is in idle state, that is almost no token renewer event 
triggered, the DelegationTokenRenewerPoolTracker thread will do nothing but 
dead loop, it will cause high CPU utilization.

2-The renewer event is hold in a map named futures, will has no remove logic , 
that is the map will become increasingly great with time going by.


> ResourceManager DelegationTokenRenewer timeout feature may cause high 
> utilization of CPU and object leak.
> ---------------------------------------------------------------------------------------------------------
>
>                 Key: YARN-11398
>                 URL: https://issues.apache.org/jira/browse/YARN-11398
>             Project: Hadoop YARN
>          Issue Type: Bug
>    Affects Versions: 3.3.1, 3.3.2, 3.3.3, 3.3.4
>            Reporter: Daniel Ma
>            Priority: Major
>              Labels: pull-request-available
>
> ResourceManager DelegationTokenRenewer timeout feature may cause high 
> utilization of CPU and object leak.
> 1-If yarn cluster is in idle state, that is almost no token renewer event 
> triggered, the DelegationTokenRenewerPoolTracker thread will do nothing but 
> dead loop, it will cause high CPU utilization.
> 2-The renewer event is hold in a map named futures, there is no removal logic 
> , the map will become increasingly big with time going by.



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