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https://issues.apache.org/jira/browse/SPARK-20014?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15931499#comment-15931499
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Apache Spark commented on SPARK-20014:
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User 'sitalkedia' has created a pull request for this issue:
https://github.com/apache/spark/pull/17343
> Optimize mergeSpillsWithFileStream method
> -----------------------------------------
>
> Key: SPARK-20014
> URL: https://issues.apache.org/jira/browse/SPARK-20014
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.0.0
> Reporter: Sital Kedia
>
> When the individual partition size in a spill is small,
> mergeSpillsWithTransferTo method does many small disk ios which is really
> inefficient. One way to improve the performance will be to use
> mergeSpillsWithFileStream method by turning off transfer to and using
> buffered file read/write to improve the io throughput.
> However, the current implementation of mergeSpillsWithFileStream does not do
> a buffer read/write of the files and in addition to that it unnecessarily
> opens/close the output files for each partitions.
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