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https://issues.apache.org/jira/browse/SPARK-26525?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-26525:
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Assignee: Apache Spark
> Fast release memory of ShuffleBlockFetcherIterator
> --------------------------------------------------
>
> Key: SPARK-26525
> URL: https://issues.apache.org/jira/browse/SPARK-26525
> Project: Spark
> Issue Type: Improvement
> Components: Shuffle
> Affects Versions: 2.3.2
> Reporter: liupengcheng
> Assignee: Apache Spark
> Priority: Major
>
> Currently, spark would not release ShuffleBlockFetcherIterator until the
> whole task finished.
> In some conditions, it incurs memory leak, because it contains some metas
> about MapStatus(blocksByAddress), which may take huge memory.
> An example is Shuffle -> map -> Coalesce(shuffle = false), each
> ShuffleMapTask will keep n(max to shuffle partitions)
> shuffleBlockFetcherIterator for they are refered by onCompleteCallbacks of
> TaskContext.
> We can release ShuffleBlockFetcherIterator as soon as it's consumed.
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