Hi all, I have been testing repartitioning to ensure that my algorithms get similar amount of data.
Noticed that repartitioning is very expensive. Is there a way to force Spark to create a certain number of partitions when the data is read in? How does it decided on the partition size initially? Thanks, -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/partition-size-for-initial-read-tp15603.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
