Are you talking here of Spark SQL ? If yes, spark.sql.shuffle.partitions needs to be changed.
From: Saliya Ekanayake [mailto:esal...@gmail.com] Sent: Wednesday, January 18, 2017 8:56 PM To: User <user@spark.apache.org> Subject: Spark #cores Hi, I am running a Spark application setting the number of executor cores 1 and a default parallelism of 32 over 8 physical nodes. The web UI shows it's running on 200 cores. I can't relate this number to the parameters I've used. How can I control the parallelism in a more deterministic way? Thank you, Saliya -- Saliya Ekanayake, Ph.D Applied Computer Scientist Network Dynamics and Simulation Science Laboratory (NDSSL) Virginia Tech, Blacksburg ________________________________ This message is for the designated recipient only and may contain privileged, proprietary, or otherwise confidential information. If you have received it in error, please notify the sender immediately and delete the original. Any other use of the e-mail by you is prohibited. Where allowed by local law, electronic communications with Accenture and its affiliates, including e-mail and instant messaging (including content), may be scanned by our systems for the purposes of information security and assessment of internal compliance with Accenture policy. ______________________________________________________________________________________ www.accenture.com
