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https://issues.apache.org/jira/browse/SPARK-18487?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15673174#comment-15673174
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Apache Spark commented on SPARK-18487:
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User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/15916
> Consume all elements for Dataset.show/take to avoid memory leak
> ---------------------------------------------------------------
>
> Key: SPARK-18487
> URL: https://issues.apache.org/jira/browse/SPARK-18487
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Liang-Chi Hsieh
>
> The methods such as Dataset.show and take use Limit (CollectLimitExec) which
> leverages SparkPlan.executeTake to efficiently collect required number of
> elements back to the driver.
> However, under wholestage codege, we usually release resources after all
> elements are consumed (e.g., HashAggregate). In this case, we will not
> release the resources and cause memory leak with Dataset.show, for example.
> We should consume all elements in the iterator to avoid memory leak.
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