Github user Tagar commented on the pull request:
https://github.com/apache/spark/pull/1082#issuecomment-113381555
Would be gread to have this implemented in PySpark as well.
Very handy in setups like Jupyter where we have a lot of RDDs declared in a
Spark Notebook,
and its hard to tell where is memory consumed. UnpersistAll isn't really a
solution, as if we rerun
all the cells, we're back to square one.
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