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Ivan Gozali commented on SPARK-11914: ------------------------------------- Hi, apologies for bringing this up in an old issue. I was wondering if there's any particular reason the {{shuffle}} argument that's present in [JavaRDD.coalesce()|https://spark.apache.org/docs/latest/api/java/org/apache/spark/api/java/JavaRDD.html#coalesce(int,%20boolean)] is not present in the Dataset API? Also are there plans of bringing it into the Dataset API? Thank you! > [SQL] Support coalesce and repartition in Dataset APIs > ------------------------------------------------------ > > Key: SPARK-11914 > URL: https://issues.apache.org/jira/browse/SPARK-11914 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 1.6.0 > Reporter: Xiao Li > Assignee: Xiao Li > Fix For: 1.6.0 > > > repartition: Returns a new [[Dataset]] that has exactly `numPartitions` > partitions. > coalesce: Returns a new [[Dataset]] that has exactly `numPartitions` > partitions. Similar to coalesce defined on an [[RDD]], this operation results > in a narrow dependency, e.g. if you go from 1000 partitions to 100 > partitions, there will not be a shuffle, instead each of the 100 new > partitions will claim 10 of the current partitions. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org