07cb323e7a
This patch upgrades Py4J from 0.9.1 to 0.9.2 in order to include a patch which modifies Py4J to use the current thread's ContextClassLoader when performing reflection / class loading. This is necessary in order to fix [SPARK-5185](https://issues.apache.org/jira/browse/SPARK-5185), a longstanding issue affecting the use of `--jars` and `--packages` in PySpark. In order to demonstrate that the fix works, I removed the workarounds which were added as part of [SPARK-6027](https://issues.apache.org/jira/browse/SPARK-6027) / #4779 and other patches. Py4J diff: https://github.com/bartdag/py4j/compare/0.9.1...0.9.2 /cc zsxwing tdas davies brkyvz Author: Josh Rosen <joshrosen@databricks.com> Closes #11687 from JoshRosen/py4j-0.9.2.
113 lines
5.4 KiB
Python
113 lines
5.4 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.serializers import PairDeserializer, NoOpSerializer
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from pyspark.storagelevel import StorageLevel
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from pyspark.streaming import DStream
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__all__ = ['KinesisUtils', 'InitialPositionInStream', '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 KinesisUtils(object):
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@staticmethod
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def createStream(ssc, kinesisAppName, streamName, endpointUrl, regionName,
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initialPositionInStream, checkpointInterval,
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storageLevel=StorageLevel.MEMORY_AND_DISK_2,
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awsAccessKeyId=None, awsSecretKey=None, decoder=utf8_decoder):
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"""
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Create an input stream that pulls messages from a Kinesis stream. This uses the
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Kinesis Client Library (KCL) to pull messages from Kinesis.
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Note: The given AWS credentials will get saved in DStream checkpoints if checkpointing is
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enabled. Make sure that your checkpoint directory is secure.
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:param ssc: StreamingContext object
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:param kinesisAppName: Kinesis application name used by the Kinesis Client Library (KCL) to
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update DynamoDB
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:param streamName: Kinesis stream name
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:param endpointUrl: Url of Kinesis service (e.g., https://kinesis.us-east-1.amazonaws.com)
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:param regionName: Name of region used by the Kinesis Client Library (KCL) to update
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DynamoDB (lease coordination and checkpointing) and CloudWatch (metrics)
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:param initialPositionInStream: In the absence of Kinesis checkpoint info, this is the
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worker's initial starting position in the stream. The
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values are either the beginning of the stream per Kinesis'
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limit of 24 hours (InitialPositionInStream.TRIM_HORIZON) or
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the tip of the stream (InitialPositionInStream.LATEST).
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:param checkpointInterval: Checkpoint interval for Kinesis checkpointing. See the Kinesis
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Spark Streaming documentation for more details on the different
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types of checkpoints.
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:param storageLevel: Storage level to use for storing the received objects (default is
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StorageLevel.MEMORY_AND_DISK_2)
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:param awsAccessKeyId: AWS AccessKeyId (default is None. If None, will use
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DefaultAWSCredentialsProviderChain)
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:param awsSecretKey: AWS SecretKey (default is None. If None, will use
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DefaultAWSCredentialsProviderChain)
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:param decoder: A function used to decode value (default is utf8_decoder)
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:return: A DStream object
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"""
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jlevel = ssc._sc._getJavaStorageLevel(storageLevel)
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jduration = ssc._jduration(checkpointInterval)
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try:
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# Use KinesisUtilsPythonHelper to access Scala's KinesisUtils
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helper = ssc._jvm.org.apache.spark.streaming.kinesis.KinesisUtilsPythonHelper()
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except TypeError as e:
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if str(e) == "'JavaPackage' object is not callable":
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KinesisUtils._printErrorMsg(ssc.sparkContext)
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raise
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jstream = helper.createStream(ssc._jssc, kinesisAppName, streamName, endpointUrl,
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regionName, initialPositionInStream, jduration, jlevel,
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awsAccessKeyId, awsSecretKey)
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stream = DStream(jstream, ssc, NoOpSerializer())
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return stream.map(lambda v: decoder(v))
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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 Kinesis libraries not found in class path. Try one of the following.
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1. Include the Kinesis 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-kinesis-asl:%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-kinesis-asl-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-kinesis-asl-assembly.jar> ...
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________________________________________________________________________________________________
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""" % (sc.version, sc.version))
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class InitialPositionInStream(object):
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LATEST, TRIM_HORIZON = (0, 1)
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