ASFAIK, in stand-alone mode, each Spark application gets one executor on each worker. You could run multiple workers on a machine though.
Mohammed From: Yiannis Gkoufas [mailto:johngou...@gmail.com] Sent: Friday, February 20, 2015 9:48 AM To: Mohammed Guller Cc: user@spark.apache.org Subject: Re: Setting the number of executors in standalone mode Hi Mohammed, thanks a lot for the reply. Ok, so from what I understand I cannot control the number of executors per worker in standalone cluster mode. Is that correct? BR On 20 February 2015 at 17:46, Mohammed Guller <moham...@glassbeam.com<mailto:moham...@glassbeam.com>> wrote: SPARK_WORKER_MEMORY=8g Will allocate 8GB memory to Spark on each worker node. Nothing to do with # of executors. Mohammed From: Yiannis Gkoufas [mailto:johngou...@gmail.com<mailto:johngou...@gmail.com>] Sent: Friday, February 20, 2015 4:55 AM To: user@spark.apache.org<mailto:user@spark.apache.org> Subject: Setting the number of executors in standalone mode Hi there, I try to increase the number of executors per worker in the standalone mode and I have failed to achieve that. I followed a bit the instructions of this thread: http://stackoverflow.com/questions/26645293/spark-configuration-memory-instance-cores and did that: spark.executor.memory 1g SPARK_WORKER_MEMORY=8g hoping to get 8 executors per worker but its still 1. And the option num-executors is not available in the standalone mode. Thanks a lot!
