4fbf748bf8
## What changes were proposed in this pull request? Put Kafka 0.8 support behind a kafka-0-8 profile. ## How was this patch tested? Existing tests, but, until PR builder and Jenkins configs are updated the effect here is to not build or test Kafka 0.8 support at all. Author: Sean Owen <sowen@cloudera.com> Closes #19134 from srowen/SPARK-21893.
454 lines
17 KiB
Python
454 lines
17 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from py4j.protocol import Py4JJavaError
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from pyspark.rdd import RDD
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from pyspark.storagelevel import StorageLevel
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from pyspark.serializers import AutoBatchedSerializer, PickleSerializer, PairDeserializer, \
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NoOpSerializer
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from pyspark.streaming import DStream
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from pyspark.streaming.dstream import TransformedDStream
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from pyspark.streaming.util import TransformFunction
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__all__ = ['Broker', 'KafkaMessageAndMetadata', 'KafkaUtils', 'OffsetRange',
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'TopicAndPartition', 'utf8_decoder']
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def utf8_decoder(s):
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""" Decode the unicode as UTF-8 """
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if s is None:
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return None
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return s.decode('utf-8')
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class KafkaUtils(object):
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@staticmethod
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def createStream(ssc, zkQuorum, groupId, topics, kafkaParams=None,
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storageLevel=StorageLevel.MEMORY_AND_DISK_2,
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keyDecoder=utf8_decoder, valueDecoder=utf8_decoder):
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"""
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Create an input stream that pulls messages from a Kafka Broker.
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:param ssc: StreamingContext object
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:param zkQuorum: Zookeeper quorum (hostname:port,hostname:port,..).
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:param groupId: The group id for this consumer.
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:param topics: Dict of (topic_name -> numPartitions) to consume.
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Each partition is consumed in its own thread.
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:param kafkaParams: Additional params for Kafka
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:param storageLevel: RDD storage level.
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:param keyDecoder: A function used to decode key (default is utf8_decoder)
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:param valueDecoder: A function used to decode value (default is utf8_decoder)
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:return: A DStream object
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.. note:: Deprecated in 2.3.0
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"""
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if kafkaParams is None:
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kafkaParams = dict()
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kafkaParams.update({
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"zookeeper.connect": zkQuorum,
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"group.id": groupId,
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"zookeeper.connection.timeout.ms": "10000",
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})
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if not isinstance(topics, dict):
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raise TypeError("topics should be dict")
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jlevel = ssc._sc._getJavaStorageLevel(storageLevel)
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helper = KafkaUtils._get_helper(ssc._sc)
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jstream = helper.createStream(ssc._jssc, kafkaParams, topics, jlevel)
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ser = PairDeserializer(NoOpSerializer(), NoOpSerializer())
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stream = DStream(jstream, ssc, ser)
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return stream.map(lambda k_v: (keyDecoder(k_v[0]), valueDecoder(k_v[1])))
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@staticmethod
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def createDirectStream(ssc, topics, kafkaParams, fromOffsets=None,
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keyDecoder=utf8_decoder, valueDecoder=utf8_decoder,
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messageHandler=None):
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"""
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Create an input stream that directly pulls messages from a Kafka Broker and specific offset.
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This is not a receiver based Kafka input stream, it directly pulls the message from Kafka
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in each batch duration and processed without storing.
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This does not use Zookeeper to store offsets. The consumed offsets are tracked
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by the stream itself. For interoperability with Kafka monitoring tools that depend on
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Zookeeper, you have to update Kafka/Zookeeper yourself from the streaming application.
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You can access the offsets used in each batch from the generated RDDs (see
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To recover from driver failures, you have to enable checkpointing in the StreamingContext.
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The information on consumed offset can be recovered from the checkpoint.
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See the programming guide for details (constraints, etc.).
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:param ssc: StreamingContext object.
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:param topics: list of topic_name to consume.
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:param kafkaParams: Additional params for Kafka.
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:param fromOffsets: Per-topic/partition Kafka offsets defining the (inclusive) starting
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point of the stream.
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:param keyDecoder: A function used to decode key (default is utf8_decoder).
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:param valueDecoder: A function used to decode value (default is utf8_decoder).
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:param messageHandler: A function used to convert KafkaMessageAndMetadata. You can assess
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meta using messageHandler (default is None).
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:return: A DStream object
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.. note:: Experimental
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.. note:: Deprecated in 2.3.0
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"""
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if fromOffsets is None:
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fromOffsets = dict()
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if not isinstance(topics, list):
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raise TypeError("topics should be list")
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if not isinstance(kafkaParams, dict):
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raise TypeError("kafkaParams should be dict")
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def funcWithoutMessageHandler(k_v):
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return (keyDecoder(k_v[0]), valueDecoder(k_v[1]))
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def funcWithMessageHandler(m):
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m._set_key_decoder(keyDecoder)
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m._set_value_decoder(valueDecoder)
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return messageHandler(m)
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helper = KafkaUtils._get_helper(ssc._sc)
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jfromOffsets = dict([(k._jTopicAndPartition(helper),
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v) for (k, v) in fromOffsets.items()])
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if messageHandler is None:
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ser = PairDeserializer(NoOpSerializer(), NoOpSerializer())
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func = funcWithoutMessageHandler
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jstream = helper.createDirectStreamWithoutMessageHandler(
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ssc._jssc, kafkaParams, set(topics), jfromOffsets)
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else:
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ser = AutoBatchedSerializer(PickleSerializer())
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func = funcWithMessageHandler
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jstream = helper.createDirectStreamWithMessageHandler(
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ssc._jssc, kafkaParams, set(topics), jfromOffsets)
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stream = DStream(jstream, ssc, ser).map(func)
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return KafkaDStream(stream._jdstream, ssc, stream._jrdd_deserializer)
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@staticmethod
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def createRDD(sc, kafkaParams, offsetRanges, leaders=None,
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keyDecoder=utf8_decoder, valueDecoder=utf8_decoder,
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messageHandler=None):
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"""
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Create an RDD from Kafka using offset ranges for each topic and partition.
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:param sc: SparkContext object
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:param kafkaParams: Additional params for Kafka
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:param offsetRanges: list of offsetRange to specify topic:partition:[start, end) to consume
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:param leaders: Kafka brokers for each TopicAndPartition in offsetRanges. May be an empty
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map, in which case leaders will be looked up on the driver.
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:param keyDecoder: A function used to decode key (default is utf8_decoder)
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:param valueDecoder: A function used to decode value (default is utf8_decoder)
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:param messageHandler: A function used to convert KafkaMessageAndMetadata. You can assess
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meta using messageHandler (default is None).
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:return: An RDD object
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.. note:: Experimental
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.. note:: Deprecated in 2.3.0
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"""
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if leaders is None:
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leaders = dict()
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if not isinstance(kafkaParams, dict):
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raise TypeError("kafkaParams should be dict")
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if not isinstance(offsetRanges, list):
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raise TypeError("offsetRanges should be list")
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def funcWithoutMessageHandler(k_v):
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return (keyDecoder(k_v[0]), valueDecoder(k_v[1]))
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def funcWithMessageHandler(m):
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m._set_key_decoder(keyDecoder)
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m._set_value_decoder(valueDecoder)
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return messageHandler(m)
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helper = KafkaUtils._get_helper(sc)
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joffsetRanges = [o._jOffsetRange(helper) for o in offsetRanges]
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jleaders = dict([(k._jTopicAndPartition(helper),
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v._jBroker(helper)) for (k, v) in leaders.items()])
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if messageHandler is None:
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jrdd = helper.createRDDWithoutMessageHandler(
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sc._jsc, kafkaParams, joffsetRanges, jleaders)
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ser = PairDeserializer(NoOpSerializer(), NoOpSerializer())
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rdd = RDD(jrdd, sc, ser).map(funcWithoutMessageHandler)
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else:
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jrdd = helper.createRDDWithMessageHandler(
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sc._jsc, kafkaParams, joffsetRanges, jleaders)
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rdd = RDD(jrdd, sc).map(funcWithMessageHandler)
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return KafkaRDD(rdd._jrdd, sc, rdd._jrdd_deserializer)
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@staticmethod
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def _get_helper(sc):
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try:
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return sc._jvm.org.apache.spark.streaming.kafka.KafkaUtilsPythonHelper()
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except TypeError as e:
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if str(e) == "'JavaPackage' object is not callable":
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KafkaUtils._printErrorMsg(sc)
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raise
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@staticmethod
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def _printErrorMsg(sc):
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print("""
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________________________________________________________________________________________________
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Spark Streaming's Kafka libraries not found in class path. Try one of the following.
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1. Include the Kafka library and its dependencies with in the
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spark-submit command as
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$ bin/spark-submit --packages org.apache.spark:spark-streaming-kafka-0-8:%s ...
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2. Download the JAR of the artifact from Maven Central http://search.maven.org/,
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Group Id = org.apache.spark, Artifact Id = spark-streaming-kafka-0-8-assembly, Version = %s.
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Then, include the jar in the spark-submit command as
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$ bin/spark-submit --jars <spark-streaming-kafka-0-8-assembly.jar> ...
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________________________________________________________________________________________________
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""" % (sc.version, sc.version))
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class OffsetRange(object):
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"""
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Represents a range of offsets from a single Kafka TopicAndPartition.
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.. note:: Deprecated in 2.3.0
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"""
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def __init__(self, topic, partition, fromOffset, untilOffset):
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"""
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Create an OffsetRange to represent range of offsets
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:param topic: Kafka topic name.
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:param partition: Kafka partition id.
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:param fromOffset: Inclusive starting offset.
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:param untilOffset: Exclusive ending offset.
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"""
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self.topic = topic
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self.partition = partition
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self.fromOffset = fromOffset
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self.untilOffset = untilOffset
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def __eq__(self, other):
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if isinstance(other, self.__class__):
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return (self.topic == other.topic
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and self.partition == other.partition
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and self.fromOffset == other.fromOffset
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and self.untilOffset == other.untilOffset)
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else:
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return False
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def __ne__(self, other):
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return not self.__eq__(other)
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def __str__(self):
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return "OffsetRange(topic: %s, partition: %d, range: [%d -> %d]" \
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% (self.topic, self.partition, self.fromOffset, self.untilOffset)
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def _jOffsetRange(self, helper):
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return helper.createOffsetRange(self.topic, self.partition, self.fromOffset,
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self.untilOffset)
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class TopicAndPartition(object):
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"""
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Represents a specific topic and partition for Kafka.
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.. note:: Deprecated in 2.3.0
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"""
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def __init__(self, topic, partition):
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"""
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Create a Python TopicAndPartition to map to the Java related object
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:param topic: Kafka topic name.
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:param partition: Kafka partition id.
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"""
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self._topic = topic
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self._partition = partition
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def _jTopicAndPartition(self, helper):
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return helper.createTopicAndPartition(self._topic, self._partition)
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def __eq__(self, other):
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if isinstance(other, self.__class__):
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return (self._topic == other._topic
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and self._partition == other._partition)
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else:
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return False
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def __ne__(self, other):
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return not self.__eq__(other)
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def __hash__(self):
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return (self._topic, self._partition).__hash__()
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class Broker(object):
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"""
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Represent the host and port info for a Kafka broker.
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.. note:: Deprecated in 2.3.0
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"""
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def __init__(self, host, port):
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"""
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Create a Python Broker to map to the Java related object.
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:param host: Broker's hostname.
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:param port: Broker's port.
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"""
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self._host = host
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self._port = port
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def _jBroker(self, helper):
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return helper.createBroker(self._host, self._port)
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class KafkaRDD(RDD):
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"""
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A Python wrapper of KafkaRDD, to provide additional information on normal RDD.
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.. note:: Deprecated in 2.3.0
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"""
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def __init__(self, jrdd, ctx, jrdd_deserializer):
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RDD.__init__(self, jrdd, ctx, jrdd_deserializer)
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def offsetRanges(self):
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"""
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Get the OffsetRange of specific KafkaRDD.
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:return: A list of OffsetRange
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"""
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helper = KafkaUtils._get_helper(self.ctx)
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joffsetRanges = helper.offsetRangesOfKafkaRDD(self._jrdd.rdd())
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ranges = [OffsetRange(o.topic(), o.partition(), o.fromOffset(), o.untilOffset())
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for o in joffsetRanges]
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return ranges
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class KafkaDStream(DStream):
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"""
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A Python wrapper of KafkaDStream
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.. note:: Deprecated in 2.3.0
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"""
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def __init__(self, jdstream, ssc, jrdd_deserializer):
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DStream.__init__(self, jdstream, ssc, jrdd_deserializer)
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def foreachRDD(self, func):
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"""
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Apply a function to each RDD in this DStream.
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"""
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if func.__code__.co_argcount == 1:
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old_func = func
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func = lambda r, rdd: old_func(rdd)
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jfunc = TransformFunction(self._sc, func, self._jrdd_deserializer) \
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.rdd_wrapper(lambda jrdd, ctx, ser: KafkaRDD(jrdd, ctx, ser))
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api = self._ssc._jvm.PythonDStream
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api.callForeachRDD(self._jdstream, jfunc)
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def transform(self, func):
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"""
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Return a new DStream in which each RDD is generated by applying a function
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on each RDD of this DStream.
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`func` can have one argument of `rdd`, or have two arguments of
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(`time`, `rdd`)
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"""
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if func.__code__.co_argcount == 1:
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oldfunc = func
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func = lambda t, rdd: oldfunc(rdd)
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assert func.__code__.co_argcount == 2, "func should take one or two arguments"
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return KafkaTransformedDStream(self, func)
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class KafkaTransformedDStream(TransformedDStream):
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"""
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Kafka specific wrapper of TransformedDStream to transform on Kafka RDD.
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.. note:: Deprecated in 2.3.0
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"""
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def __init__(self, prev, func):
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TransformedDStream.__init__(self, prev, func)
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@property
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def _jdstream(self):
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if self._jdstream_val is not None:
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return self._jdstream_val
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jfunc = TransformFunction(self._sc, self.func, self.prev._jrdd_deserializer) \
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.rdd_wrapper(lambda jrdd, ctx, ser: KafkaRDD(jrdd, ctx, ser))
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dstream = self._sc._jvm.PythonTransformedDStream(self.prev._jdstream.dstream(), jfunc)
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self._jdstream_val = dstream.asJavaDStream()
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return self._jdstream_val
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class KafkaMessageAndMetadata(object):
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"""
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Kafka message and metadata information. Including topic, partition, offset and message
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.. note:: Deprecated in 2.3.0
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"""
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def __init__(self, topic, partition, offset, key, message):
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"""
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Python wrapper of Kafka MessageAndMetadata
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:param topic: topic name of this Kafka message
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:param partition: partition id of this Kafka message
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:param offset: Offset of this Kafka message in the specific partition
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:param key: key payload of this Kafka message, can be null if this Kafka message has no key
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specified, the return data is undecoded bytearry.
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:param message: actual message payload of this Kafka message, the return data is
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undecoded bytearray.
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"""
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self.topic = topic
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self.partition = partition
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self.offset = offset
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self._rawKey = key
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self._rawMessage = message
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self._keyDecoder = utf8_decoder
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self._valueDecoder = utf8_decoder
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def __str__(self):
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return "KafkaMessageAndMetadata(topic: %s, partition: %d, offset: %d, key and message...)" \
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% (self.topic, self.partition, self.offset)
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def __repr__(self):
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return self.__str__()
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def __reduce__(self):
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return (KafkaMessageAndMetadata,
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(self.topic, self.partition, self.offset, self._rawKey, self._rawMessage))
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def _set_key_decoder(self, decoder):
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self._keyDecoder = decoder
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def _set_value_decoder(self, decoder):
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self._valueDecoder = decoder
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@property
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def key(self):
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return self._keyDecoder(self._rawKey)
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@property
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def message(self):
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return self._valueDecoder(self._rawMessage)
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