Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/14579#discussion_r74305543
--- Diff: python/pyspark/rdd.py ---
@@ -221,6 +227,21 @@ def context(self):
def cache(self):
"""
Persist this RDD with the default storage level (C{MEMORY_ONLY}).
+
+ :py:meth:`cache` can be used in a 'with' statement. The RDD will
be automatically
+ unpersisted once the 'with' block is exited. Note however that any
actions on the RDD
+ that require the RDD to be cached, should be invoked inside the
'with' block; otherwise,
+ caching will have no effect.
--- End diff --
Super minor documentation suggestion - but I was thinking maybe a version
changed directive could be helpful to call out that its new functionality (both
in RDD and DF)?
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