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Posted to issues@spark.apache.org by "Adrian Ionescu (JIRA)" <ji...@apache.org> on 2017/11/27 11:46:00 UTC

[jira] [Created] (SPARK-22614) Expose range partitioning shuffle

Adrian Ionescu created SPARK-22614:
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             Summary: Expose range partitioning shuffle
                 Key: SPARK-22614
                 URL: https://issues.apache.org/jira/browse/SPARK-22614
             Project: Spark
          Issue Type: Improvement
          Components: Shuffle, SQL
    Affects Versions: 2.3.0
            Reporter: Adrian Ionescu


Right now, the Dataset API only offers two possibilities for explicitly repartitioning a dataset:
- round robin partitioning, via {{def repartition(numPartitions: Int): Dataset}}
- hash partitioning, via {{def repartition(numPartitions: Int, partitionExprs: Column*)}}

It would be useful to also expose range partitioning, which can, for example, improve compression when writing data out to disk, or potentially enable new use cases.



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