Is there a set of best practices for when to use foreachPartition vs. foreachRDD?
Is it generally true that using foreachPartition avoids some of the over-network data shuffling overhead? When would I definitely want to use one method vs. the other? Thanks. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/foreachRDD-vs-forearchPartition-tp23714.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
