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https://issues.apache.org/jira/browse/DRILL-6125?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16388402#comment-16388402
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ASF GitHub Bot commented on DRILL-6125:
---------------------------------------

Github user vrozov commented on the issue:

    https://github.com/apache/drill/pull/1105
  
    @ilooner @arina-ielchiieva How `innerNext()` and `close()` can execute 
concurrently? Does not `FragmentExecutor.hasCloseoutThread` ensure that either 
`close()` is called on the `run()` thread or `run()` exits if the fragment is 
already cancelled?


> PartitionSenderRootExec can leak memory because close method is not 
> synchronized
> --------------------------------------------------------------------------------
>
>                 Key: DRILL-6125
>                 URL: https://issues.apache.org/jira/browse/DRILL-6125
>             Project: Apache Drill
>          Issue Type: Bug
>    Affects Versions: 1.13.0
>            Reporter: Timothy Farkas
>            Assignee: Timothy Farkas
>            Priority: Minor
>             Fix For: 1.13.0
>
>
> PartitionSenderRootExec creates a PartitionerDecorator and saves it in the 
> *partitioner* field. The creation of the partitioner happens in the 
> createPartitioner method. This method get's called by the main fragment 
> thread. The partitioner field is accessed by the fragment thread during 
> normal execution but it can also be accessed by the receivingFragmentFinished 
> method which is a callback executed by the event processor thread. Because 
> multiple threads can access the partitioner field synchronization is done on 
> creation and on when receivingFragmentFinished. However, the close method can 
> also be called by the event processor thread, and the close method does not 
> synchronize before accessing the partitioner field. Since synchronization is 
> not done the event processor thread may have an old reference to the 
> partitioner when a query cancellation is done. Since it has an old reference 
> the current partitioner can may not be cleared and a memory leak may occur.



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