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https://issues.apache.org/jira/browse/SPARK-25947?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16677513#comment-16677513
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Apache Spark commented on SPARK-25947:
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User 'mu5358271' has created a pull request for this issue:
https://github.com/apache/spark/pull/22961
> Reduce memory usage in ShuffleExchangeExec by selecting only the sort columns
> -----------------------------------------------------------------------------
>
> Key: SPARK-25947
> URL: https://issues.apache.org/jira/browse/SPARK-25947
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.3.2
> Reporter: Shuheng Dai
> Priority: Major
>
> When sorting rows, ShuffleExchangeExec uses the entire row instead of just
> the columns references in SortOrder to create the RangePartitioner. This
> causes the RangePartitioner to sample entire rows to create rangeBounds and
> can cause OOM issues on the driver when rows contain large fields.
> Create a projection and only use columns involved in the SortOrder for the
> RangePartitioner
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