[ 
https://issues.apache.org/jira/browse/HIVE-23458?focusedWorklogId=620287&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-620287
 ]

ASF GitHub Bot logged work on HIVE-23458:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 08/Jul/21 00:08
            Start Date: 08/Jul/21 00:08
    Worklog Time Spent: 10m 
      Work Description: github-actions[bot] closed pull request #1919:
URL: https://github.com/apache/hive/pull/1919


   


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Issue Time Tracking
-------------------

    Worklog Id:     (was: 620287)
    Time Spent: 2.5h  (was: 2h 20m)

> Introduce unified thread pool for scheduled jobs
> ------------------------------------------------
>
>                 Key: HIVE-23458
>                 URL: https://issues.apache.org/jira/browse/HIVE-23458
>             Project: Hive
>          Issue Type: Improvement
>          Components: HiveServer2
>            Reporter: Eugene Chung
>            Assignee: Eugene Chung
>            Priority: Major
>              Labels: pull-request-available, todoc4.0
>             Fix For: 4.0.0
>
>         Attachments: HIVE-23458.01.patch, HIVE-23458.02.patch, 
> HIVE-23458.03.patch
>
>          Time Spent: 2.5h
>  Remaining Estimate: 0h
>
> As I mentioned in [the comment of 
> HIVE-23164|https://issues.apache.org/jira/browse/HIVE-23164?focusedCommentId=17089506&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-17089506],
>  I've made the unified scheduled executor service like 
> org.apache.hadoop.hive.metastore.ThreadPool.
> I think it could help
> 1. to minimize the possibility of making non-daemon threads when developers 
> need ScheduledExecutorService
> 2. to achieve the utilization of server resources because the current 
> situation is all of the modules make its own ScheduledExecutorService and all 
> of the threads are just using for one job. 
> 3. administrators of Hive servers by providing 
> hive.exec.scheduler.num.threads configuration so that they can predict and 
> set how many threads are used and needed.



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