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Apache Spark commented on SPARK-2926: ------------------------------------- User 'xuanyuanking' has created a pull request for this issue: https://github.com/apache/spark/pull/19745 > 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 > Assignee: Saisai Shao > Attachments: SortBasedShuffleRead.pdf, SortBasedShuffleReader on > Spark 2.x.pdf, Spark Shuffle Test Report(contd).pdf, Spark Shuffle Test > Report.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. -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org