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https://issues.apache.org/jira/browse/SPARK-21492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16779460#comment-16779460
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Guruprasad commented on SPARK-21492:
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i ran the sample code provided on spark 2.0.2 and it used sortedMergeJoin but
did not lead to memory leaks. So wondering what has changed between spark 2.0.2
and spark 2.2 that is leading to this OOM error?
> Memory leak in SortMergeJoin
> ----------------------------
>
> Key: SPARK-21492
> URL: https://issues.apache.org/jira/browse/SPARK-21492
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.0, 2.3.0, 2.3.1, 3.0.0
> Reporter: Zhan Zhang
> Priority: Major
>
> In SortMergeJoin, if the iterator is not exhausted, there will be memory leak
> caused by the Sort. The memory is not released until the task end, and cannot
> be used by other operators causing performance drop or OOM.
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