Hi, I'm looking for a solution to improve my Spark cluster performances, I have read from http://spark.apache.org/docs/latest/hardware-provisioning.html: "We recommend having 4-8 disks per node", I have tried both with one and two disks but I have seen that with 2 disks the execution time is doubled. Any explanations about this?
This is my configuration: 1 machine with 140 GB RAM 2 disks and 32 CPU (I know that is an unusual configuration) and on this I have a standalone Spark cluster with 1 Worker. Thank you very much for the help. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/How-many-disks-for-spark-local-dirs-tp26790.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
