Github user koeninger commented on a diff in the pull request:
https://github.com/apache/spark/pull/14340#discussion_r72122274
--- Diff: python/pyspark/streaming/kafka010.py ---
@@ -0,0 +1,370 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+from pyspark.rdd import RDD
+from pyspark.serializers import AutoBatchedSerializer, PickleSerializer
+from pyspark.streaming import DStream
+from pyspark.streaming.kafka import KafkaDStream, KafkaRDD, OffsetRange
+
+__all__ = ['Assign', 'KafkaConsumerRecord', 'KafkaUtils', 'PreferBrokers',
'PreferConsistent',
+ 'PreferFixed', 'Subscribe', 'SubscribePattern',
'TopicPartition', 'utf8_decoder']
+
+
+def utf8_decoder(s):
+ """ Decode the unicode as UTF-8 """
+ if s is None:
+ return None
+ return s.decode('utf-8')
+
+
+class KafkaUtils(object):
+
+ @staticmethod
+ def createDirectStream(ssc, locationStrategy, consumerStrategy,
+ keyDecoder=utf8_decoder,
valueDecoder=utf8_decoder):
+ """
+ .. note:: Experimental
+
+ Create an input stream that directly pulls messages from Kafka
0.10 brokers with different
+ location strategy and consumer strategy.
+
+ This does not use Zookeeper to store offsets. The consumed offsets
are tracked
+ by the stream itself. For interoperability with Kafka monitoring
tools that depend on
+ Zookeeper, you have to update Kafka/Zookeeper yourself from the
streaming application.
+ You can access the offsets used in each batch from the generated
RDDs (see
+
+ To recover from driver failures, you have to enable checkpointing
in the StreamingContext.
+ The information on consumed offset can be recovered from the
checkpoint.
+ See the programming guide for details (constraints, etc.).
+
+ :param ssc: StreamingContext object,
+ :param locationStrategy: Strategy to schedule consumers for a
given TopicPartition on an
--- End diff --
The scala / javadoc has a note on what the most common option to pass in is
(preferConsistent and subscribe), probably worth adding here
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