Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/1063#discussion_r15711570
--- Diff: python/pyspark/sql.py ---
@@ -519,6 +523,15 @@ def _ssql_ctx(self):
self._scala_SQLContext = self._jvm.SQLContext(self._jsc.sc())
return self._scala_SQLContext
+ def registerFunction(self, name, f, returnType = "string"):
+ def func(split, iterator): return imap(f, iterator)
+ command = (func, self._sc.serializer, self._sc.serializer)
--- End diff --
we only support Pickle in JVM, SchemaRDD can only use PickleSerializer or
BatchedSerializer(PickleSerializer()). It's better to use
BatchedSerializer(PickleSerializer(), 1024) in everywhere.
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