Produces a count of events received from Flume using apache spark - Java Big Data

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Description

Produces a count of events received from Flume using apache spark

Demo Code

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 * Licensed to the Apache Software Foundation (ASF) under one or more
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 * this work for additional information regarding copyright ownership.
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 * (the "License"); you may not use this file except in compliance with
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package eduonix.spark.streaming;

import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.Function;
import org.apache.spark.examples.streaming.StreamingExamples;
import org.apache.spark.streaming.*;
import org.apache.spark.streaming.api.java.*;
import org.apache.spark.streaming.flume.FlumeUtils;
import org.apache.spark.streaming.flume.SparkFlumeEvent;

/**
 *  Produces a count of events received from Flume.
 *
 *  This should be used in conjunction with an AvroSink in Flume. It will start
 *  an Avro server on at the request host:port address and listen for requests.
 *  Your Flume AvroSink should be pointed to this address.
 *
 *  Usage: JavaFlumeEventCount <host> <port>
 *    <host> is the host the Flume receiver will be started on - a receiver
 *           creates a server and listens for flume events.
 *    <port> is the port the Flume receiver will listen on.
 *
 *  To run this example:
 *     `$ bin/run-example eduonix.spark.streaming.JavaFlumeEventCount <host> <port>`
 */
public final class JavaFlumeEventCount {
    private JavaFlumeEventCount() {
    }

    public static void main(String[] args) {
        if (args.length != 2) {
            System.err.println("Usage: JavaFlumeEventCount <host> <port>");
            System.exit(1);
        }

        StreamingExamples.setStreamingLogLevels();

        String host = args[0];
        int port = Integer.parseInt(args[1]);

        Duration batchInterval = new Duration(2000);
        SparkConf sparkConf = new SparkConf()
                .setAppName("JavaFlumeEventCount");
        JavaStreamingContext ssc = new JavaStreamingContext(sparkConf,
                batchInterval);
        JavaReceiverInputDStream<SparkFlumeEvent> flumeStream = FlumeUtils
                .createStream(ssc, host, port);

        flumeStream.count();

        flumeStream.count().map(new Function<Long, String>() {
            @Override
            public String call(Long in) {
                return "Received " + in + " flume events.";
            }
        }).print();

        ssc.start();
        ssc.awaitTermination();
    }
}

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