org.apache.spark.examples.streaming

KinesisWordCountASL

object KinesisWordCountASL extends Logging

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: KinesisWordCountASL <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 $ SPARK_HOME/bin/run-example streaming.KinesisWordCountASL 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.

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