Github user kanzhang commented on a diff in the pull request:
https://github.com/apache/spark/pull/1023#discussion_r13572383
--- Diff: python/pyspark/sql.py ---
@@ -346,7 +347,7 @@ def _toPython(self):
# TODO: This is inefficient, we should construct the Python Row
object
# in Java land in the javaToPython function. May require a custom
# pickle serializer in Pyrolite
- return RDD(jrdd, self._sc, self._sc.serializer).map(lambda d:
Row(d))
+ return RDD(jrdd, self._sc, PickleSerializer()).map(lambda d:
Row(d))
--- End diff --
@ahirreddy , you are right; batching is currently not implemented in
```javaToPython``` method. We could change it to
```BatchedSerializer(PickleSerialzier())``` later when batching is supported.
Also, ```javaToPython``` only serializes to Pickle format for now, while
```_sc.serializer``` could potentially be set to some other serializers (like
```MarshalSerializer```) when user creates ```_sc```.
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