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https://issues.apache.org/jira/browse/HIVE-27126?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17698031#comment-17698031
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László Bodor commented on HIVE-27126:
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+1 on improving real-time data in beeline progress, let me link HIVE-25666 here

> Display Yarn resources availability in real time along with Tez job progress 
> -----------------------------------------------------------------------------
>
>                 Key: HIVE-27126
>                 URL: https://issues.apache.org/jira/browse/HIVE-27126
>             Project: Hive
>          Issue Type: Improvement
>          Components: HiveServer2
>            Reporter: Taraka Rama Rao Lethavadla
>            Priority: Major
>
> Right we don't know if the queue used in Hive query execution is having 
> enough resources or not. We are already displaying tez job details like 
> number of task per each vertex and how are they progressing. 
> If the resources available are not good enough to execute the query in 
> parallel or query that use to take shorter time is taking time, then we can 
> use this new detail to understand that queue is busy and resources are not 
> enough
>  
>  
>  
> {noformat}
> ----------------------------------------------------------------------------------------------
>         VERTICES      MODE        STATUS  TOTAL  COMPLETED  RUNNING  PENDING  
> FAILED  KILLED
> ----------------------------------------------------------------------------------------------
> Map 1            container       RUNNING    230          0        10      230 
>     0       1
> Reducer 2        container        INITED      1          0        0        1  
>      0       0
> ----------------------------------------------------------------------------------------------
> VERTICES: 00/02  [>>--------------------------] 0%    ELAPSED TIME: 58.33 s
> ----------------------------------------------------------------------------------------------
> {noformat}
> So it would be great to display current resource availability in that 
> specific queue along with above info in real time would help understand why a 
> query can be slow
>  



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