Hi @Jose Gonzalez​, thanks for the suggestion. But that link asks how to *limit* the nr of executors, so each gets more memory. I want to do the opposite, I want *more* executors per core (or make each executor execute many parallell tasks). The default value for `spark.task.cpus` is `1`, and it does not seem to accept a value like 0.1, then it refuses to start up.

I set the cluster level settings under "Advanced options", below I attached a screenshot of how I tried editing the spark.task.cpus setting: