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#
# 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.
#
"""
Consumes messages from a Amazon Kinesis streams and does wordcount.
This example spins up 1 Kinesis Receiver per shard for the given stream.
It then starts pulling from the last checkpointed sequence number of the given stream.
Usage: kinesis_wordcount_asl.py <app-name> <stream-name> <endpoint-url> <region-name>
<app-name> is the name of the consumer app, used to track the read data in DynamoDB
<stream-name> name of the Kinesis stream (ie. mySparkStream)
<endpoint-url> endpoint of the Kinesis service
(e.g. https://kinesis.us-east-1.amazonaws.com)
Example:
# export AWS keys if necessary
$ export AWS_ACCESS_KEY_ID=<your-access-key>
$ export AWS_SECRET_KEY=<your-secret-key>
# run the example
$ bin/spark-submit -jar external/kinesis-asl/target/scala-*/\
spark-streaming-kinesis-asl-assembly_*.jar \
external/kinesis-asl/src/main/python/examples/streaming/kinesis_wordcount_asl.py \
myAppName mySparkStream https://kinesis.us-east-1.amazonaws.com
There is a companion helper class called KinesisWordProducerASL which puts dummy data
onto the Kinesis stream.
This code uses the DefaultAWSCredentialsProviderChain to find credentials
in the following order:
Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY
Java System Properties - aws.accessKeyId and aws.secretKey
Credential profiles file - default location (~/.aws/credentials) shared by all AWS SDKs
Instance profile credentials - delivered through the Amazon EC2 metadata service
For more information, see
http://docs.aws.amazon.com/AWSSdkDocsJava/latest/DeveloperGuide/credentials.html
See http://spark.apache.org/docs/latest/streaming-kinesis-integration.html for more details on
the Kinesis Spark Streaming integration.
"""
from __future__ import print_function
import sys
from pyspark import SparkContext
from pyspark.streaming import StreamingContext
from pyspark.streaming.kinesis import KinesisUtils, InitialPositionInStream
if __name__ == "__main__":
if len(sys.argv) != 5:
print(
"Usage: kinesis_wordcount_asl.py <app-name> <stream-name> <endpoint-url> <region-name>",
file=sys.stderr)
sys.exit(-1)
sc = SparkContext(appName="PythonStreamingKinesisWordCountAsl")
ssc = StreamingContext(sc, 1)
appName, streamName, endpointUrl, regionName = sys.argv[1:]
lines = KinesisUtils.createStream(
ssc, appName, streamName, endpointUrl, regionName, InitialPositionInStream.LATEST, 2)
counts = lines.flatMap(lambda line: line.split(" ")) \
.map(lambda word: (word, 1)) \
.reduceByKey(lambda a, b: a+b)
counts.pprint()
ssc.start()
ssc.awaitTermination()
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