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https://issues.apache.org/jira/browse/HIVE-19847?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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BELUGA BEHR updated HIVE-19847:
-------------------------------
    Status: Open  (was: Patch Available)

> Create Separate getInputSummary Service
> ---------------------------------------
>
>                 Key: HIVE-19847
>                 URL: https://issues.apache.org/jira/browse/HIVE-19847
>             Project: Hive
>          Issue Type: Improvement
>          Components: HiveServer2
>    Affects Versions: 3.0.0, 4.0.0
>            Reporter: BELUGA BEHR
>            Assignee: BELUGA BEHR
>            Priority: Major
>         Attachments: HIVE-19847.1.patch, HIVE-19847.2.patch, 
> HIVE-19847.3.patch, HIVE-19847.4.patch, HIVE-19847.5.patch, HIVE-19847.6.patch
>
>
> The Hive {{org.apache.hadoop.hive.ql.exec.Utilities.java}} file has taken on 
> a life of its own.  We should consider separating out the various components 
> into their own classes.  For this ticket, I propose separating out the 
> {{getInputSummary}} functionality into its own class.
> There are several issues with the current implementation:
> # It is 
> [synchronized|https://github.com/apache/hive/blob/f27c38ff55902827499192a4f8cf8ed37d6fd967/ql/src/java/org/apache/hadoop/hive/ql/exec/Utilities.java#L2383].
>   Only one query can get file input summary at a time.  For a query which 
> deals with a large data set with a large number of files, this can block 
> other queries for a long period of time.  This is especially painful when 
> most queries use a small data set, but a large data set is submitted on 
> occasion.
> # For each query, time is spend setting up and tearing down a ThreadPool
> # It uses deprecated code
> I propose breaking it out into its own class and creating a single thread 
> pool that all queries pull from.  In this way, the bottle neck will be one 
> the number of available threads, not on a single query and if a big query is 
> running and a small query is also submitted, the smaller query will be able 
> to proceed.
> In regards to setup/teardown... if a query uses 15 threads to perform this 
> summary action, then finishes, it will tear down the threads, the next query 
> may immediate create 15 new threads for processing.  With a single pool, 
> those threads are never performing tear down and setup.



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