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https://issues.apache.org/jira/browse/SPARK-8890?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-8890.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 8010
[https://github.com/apache/spark/pull/8010]
> Reduce memory consumption for dynamic partition insert
> ------------------------------------------------------
>
> Key: SPARK-8890
> URL: https://issues.apache.org/jira/browse/SPARK-8890
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Reynold Xin
> Assignee: Michael Armbrust
> Priority: Critical
> Fix For: 1.5.0
>
>
> Currently, InsertIntoHadoopFsRelation can run out of memory if the number of
> table partitions is large. The problem is that we open one output writer for
> each partition, and when data are randomized and when the number of
> partitions is large, we open a large number of output writers, leading to OOM.
> The solution here is to inject a sorting operation once the number of active
> partitions is beyond a certain point (e.g. 50?)
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