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https://issues.apache.org/jira/browse/SPARK-20014?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sital Kedia updated SPARK-20014:
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Description:
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 flushes
the output files for each partitions.
was:
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.
> 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
> flushes the output files for each partitions.
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