The DataFrames parallelism currently controlled through configuration option spark.sql.shuffle.partitions. The default value is 200
I have raised an Improvement Jira to make it possible to specify the number of partitions in https://issues.apache.org/jira/browse/SPARK-9872 -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-DataFrames-uses-too-many-partition-tp24214p24223.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
