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https://issues.apache.org/jira/browse/SPARK-2926?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Saisai Shao updated SPARK-2926:
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Description:
Currently Spark has already integrated sort-based shuffle write, which greatly
improve the IO performance and reduce the memory consumption when reducer
number is very large. But for the reducer side, it still adopts the
implementation of hash-based shuffle reader, which neglects the ordering
attributes of map output data in some situations.
Here we propose a MR style sort-merge like shuffle reader for sort-based
shuffle to better improve the performance of sort-based shuffle.
Working in progress code and performance test report will be posted later when
some unit test bugs are fixed.
Any comments would be greatly appreciated.
Thanks a lot.
was:
Currently Spark has already integrated sort-based shuffle write, which greatly
improve the IO performance and reduce the memory consumption when reducer
number is very large. But for the reducer side, it still adopts the
implementation of hash-based shuffle reader, which neglect the ordering
attributes of map output data in some situations.
Here we propose a MR style sort-merge like shuffle reader for sort-based
shuffle to better improve the performance of sort-based shuffle.
Working in progress code and performance test report will be posted later when
some unit test bugs are fixed.
Any comments would be greatly appreciated.
Thanks a lot.
> Add MR-style (merge-sort) SortShuffleReader for sort-based shuffle
> ------------------------------------------------------------------
>
> Key: SPARK-2926
> URL: https://issues.apache.org/jira/browse/SPARK-2926
> Project: Spark
> Issue Type: Improvement
> Components: Shuffle
> Affects Versions: 1.1.0
> Reporter: Saisai Shao
> Attachments: SortBasedShuffleRead.pdf
>
>
> Currently Spark has already integrated sort-based shuffle write, which
> greatly improve the IO performance and reduce the memory consumption when
> reducer number is very large. But for the reducer side, it still adopts the
> implementation of hash-based shuffle reader, which neglects the ordering
> attributes of map output data in some situations.
> Here we propose a MR style sort-merge like shuffle reader for sort-based
> shuffle to better improve the performance of sort-based shuffle.
> Working in progress code and performance test report will be posted later
> when some unit test bugs are fixed.
> Any comments would be greatly appreciated.
> Thanks a lot.
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