Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/2095#discussion_r16633897
--- Diff: python/pyspark/rdd.py ---
@@ -1782,6 +1798,71 @@ def _defaultReducePartitions(self):
# keys in the pairs. This could be an expensive operation, since those
# hashes aren't retained.
+ def _is_pickled(self):
+ """ Return this RDD is serialized by Pickle or not. """
+ der = self._jrdd_deserializer
+ if isinstance(der, PickleSerializer):
+ return True
+ if isinstance(der, BatchedSerializer) and
isinstance(der.serializer, PickleSerializer):
+ return True
+ return False
+
+ def _to_jrdd(self):
--- End diff --
There's a small possibility that this name could be confusing, since
`self._jrdd` returns a Java RDD of Python objects, whereas `self.to_jrdd()`
returns a JavaRDD of Java objects. I would maybe rename this to something like
`to_java_object_rdd`.
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