content: /*
   * 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.
   */
  
  package org.apache.spark.streaming.examples;
  
  import org.apache.spark.api.java.function.Function;
  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 <master> <host> <port>
   *
   *    <master> is a Spark master URL
   *    <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.
   */
  public final class JavaFlumeEventCount {
    private JavaFlumeEventCount() {
    }
  
    public static void main(String[] args) {
      if (args.length != 3) {
        System.err.println("Usage: JavaFlumeEventCount <master> <host> <port>");
        System.exit(1);
      }
  
      StreamingExamples.setStreamingLogLevels();
  
      String master = args[0];
      String host = args[1];
      int port = Integer.parseInt(args[2]);
  
      Duration batchInterval = new Duration(2000);
  
      JavaStreamingContext ssc = new JavaStreamingContext(master, "FlumeEventCount", batchInterval,
              System.getenv("SPARK_HOME"),
              JavaStreamingContext.jarOfClass(JavaFlumeEventCount.class));
      JavaDStream<SparkFlumeEvent> flumeStream = FlumeUtils.createStream(ssc, "localhost", 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();
    }
  }
  