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https://issues.apache.org/jira/browse/DRILL-6125?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16384786#comment-16384786
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ASF GitHub Bot commented on DRILL-6125:
---------------------------------------
Github user arina-ielchiieva commented on a diff in the pull request:
https://github.com/apache/drill/pull/1105#discussion_r172024881
--- Diff:
exec/java-exec/src/main/java/org/apache/drill/exec/work/fragment/FragmentExecutor.java
---
@@ -245,6 +244,8 @@ public Void run() throws Exception {
// we have a heap out of memory error. The JVM in unstable, exit.
CatastrophicFailure.exit(e, "Unable to handle out of memory
condition in FragmentExecutor.", -2);
}
+ } catch (InterruptedException e) {
+ // Swallow interrupted exceptions since we intentionally interrupt
the root when cancelling a query
--- End diff --
Maybe add logger.trace?
> 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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