Github user karuppayya commented on the issue:
https://github.com/apache/zeppelin/pull/2011
@zjffdu Thanks for your feedback.
The change is not specific to spark interpreter.
It is generic so that any other interpreter also can initiate a restart .
I was targeting free-ing up of resources once the spark application
completes
I was not aware of the use cases for using spark interpreter as scala,
python REPl after sparkcontext is stopped.Then this change is not helpful.
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