Hi everyone, I am using Zeppelin in AWS EMR (Zeppelin 0.6.1, spark 2.0 on Yarn RM) Basically Zeppelin spark interpreter's spark job is not finishing after executing a notebook. It looks like the spark job still occupying memory a lot in my Yarn cluster. Is there a way restart spark interpreter automatically(or pragmatically) every time I run a notebook in order to release that memory in my Yarn cluster?
Regards, Soonoh
