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diff --git a/external/kinesis-asl/src/main/python/examples/streaming/kinesis_wordcount_asl.py b/external/kinesis-asl/src/main/python/examples/streaming/kinesis_wordcount_asl.py
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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()