Github user nchammas commented on a diff in the pull request:
https://github.com/apache/spark/pull/218#discussion_r10913578
--- Diff: python/pyspark/rdd.py ---
@@ -202,6 +202,12 @@ def flatMap(self, f, preservesPartitioning=False):
def func(s, iterator): return chain.from_iterable(imap(f,
iterator))
return self.mapPartitionsWithIndex(func, preservesPartitioning)
+ def partitions(self):
+ """
+ Get the array of partitions of this RDD, taking into account
whether the RDD is checkpointed or not.
+ """
+ return self._jrdd.splits()
--- End diff --
Actually, I'm not sure that having a Python method return a Java object is
right thing to do. Or is it?
`len(rdd.partitions())` works as you would expect, and so does
`rdd.partitions().size()`, but I'm not sure how else this method might be used.
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