Adrian Ionescu created SPARK-22614: -------------------------------------- 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. -- 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