Try checking on the workers as well. Maybe code there is somehow overriding the spark.executor.memory setting.


On Mar 18, 2014, at 6:17 PM, Jim Blomo <> wrote:

Hello, I'm using the Github snapshot of PySpark and having trouble setting the worker memory correctly. I've set spark.executor.memory to 5g, but somewhere along the way Xmx is getting capped to 512M. This was not occurring with the same setup and 0.9.0. How many places do I need to configure the memory? Thank you!