Github user JoshRosen commented on a diff in the pull request:

    https://github.com/apache/spark/pull/3715#discussion_r23661437
  
    --- Diff: python/pyspark/streaming/kafka.py ---
    @@ -0,0 +1,82 @@
    +#
    +# 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 py4j.java_collections import MapConverter
    +from py4j.java_gateway import java_import, Py4JError
    +
    +from pyspark.storagelevel import StorageLevel
    +from pyspark.serializers import PairDeserializer, NoOpSerializer
    +from pyspark.streaming import DStream
    +
    +__all__ = ['KafkaUtils', 'utf8_decoder']
    +
    +
    +def utf8_decoder(s):
    +    """ Decode the unicode as UTF-8 """
    +    return s and s.decode('utf-8')
    +
    +
    +class KafkaUtils(object):
    +
    +    @staticmethod
    +    def createStream(ssc, zkQuorum, groupId, topics,
    +                     storageLevel=StorageLevel.MEMORY_AND_DISK_SER_2,
    +                     keyDecoder=utf8_decoder, valueDecoder=utf8_decoder):
    +        """
    +        Create an input stream that pulls messages from a Kafka Broker.
    +
    +        :param ssc:  StreamingContext object
    +        :param zkQuorum:  Zookeeper quorum 
(hostname:port,hostname:port,..).
    +        :param groupId:  The group id for this consumer.
    +        :param topics:  Dict of (topic_name -> numPartitions) to consume.
    +                        Each partition is consumed in its own thread.
    +        :param storageLevel:  RDD storage level.
    +        :param keyDecoder:  A function used to decode key
    +        :param valueDecoder:  A function used to decode value
    +        :return: A DStream object
    +        """
    +        java_import(ssc._jvm, 
"org.apache.spark.streaming.kafka.KafkaUtils")
    +
    +        param = {
    +            "zookeeper.connect": zkQuorum,
    +            "group.id": groupId,
    +            "zookeeper.connection.timeout.ms": "10000",
    +        }
    +        if not isinstance(topics, dict):
    +            raise TypeError("topics should be dict")
    +        jtopics = MapConverter().convert(topics, 
ssc.sparkContext._gateway._gateway_client)
    +        jparam = MapConverter().convert(param, 
ssc.sparkContext._gateway._gateway_client)
    +        jlevel = ssc._sc._getJavaStorageLevel(storageLevel)
    +
    +        def getClassByName(name):
    +            return ssc._jvm.org.apache.spark.util.Utils.classForName(name)
    +
    +        try:
    +            array = getClassByName("[B")
    +            decoder = getClassByName("kafka.serializer.DefaultDecoder")
    +            jstream = ssc._jvm.KafkaUtils.createStream(ssc._jssc, array, 
array, decoder, decoder,
    +                                                       jparam, jtopics, 
jlevel)
    +        except Py4JError, e:
    +            # TODO: use --jar once it also work on driver
    +            if not e.message or 'call a package' in e.message:
    --- End diff --
    
    This is clever; the 'call a package' errors are _really_ confusing to 
users, so this message is pretty helpful.


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