Hey, I'm connecting Zeppelin with a remote Spark standalone cluster (2 worker nodes) and I noticed that if I run a job from Zeppelin twice without restarting the Interpreter, it fails on OOME. After the Zeppelin jobs successfully finishes I can see all executor memory being allocated on workers and restarting Interpreter frees the memory... But if I don't do it it fails when running the task again.
Any idea how to deal with this problem? Currently I have to always restart Interpreter between running spark jobs. Thanks Jakub
