Github user jerryshao commented on a diff in the pull request:
https://github.com/apache/spark/pull/4723#discussion_r28301541
--- Diff: python/pyspark/streaming/kafka.py ---
@@ -70,7 +71,103 @@ def createStream(ssc, zkQuorum, groupId, topics,
kafkaParams={},
except Py4JJavaError, e:
# TODO: use --jar once it also work on driver
if 'ClassNotFoundException' in str(e.java_exception):
- print """
+ KafkaUtils._printErrorMsg(ssc.sparkContext)
+ raise e
+ ser = PairDeserializer(NoOpSerializer(), NoOpSerializer())
+ stream = DStream(jstream, ssc, ser)
+ return stream.map(lambda (k, v): (keyDecoder(k), valueDecoder(v)))
+
+ @staticmethod
+ def createDirectStream(ssc, brokerList, topics, kafkaParams={},
--- End diff --
Currently I have a solution, serialize the content of `MessageAndMetadata`
into byte array in Scala code, and unpack, reconstruct the python object of
`MessageAndMetadata` in python code. So the handler can be supported. What do
you think of this solution?
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