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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.
*/
package org.apache.spark.examples.streaming;
import org.apache.spark.SparkConf;
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 org.apache.spark.examples.streaming.JavaFlumeEventCount <host> <port>`
*/
public final class JavaFlumeEventCount {
private JavaFlumeEventCount() {
}
public static void main(String[] args) throws Exception {
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(in -> "Received " + in + " flume events.").print();
ssc.start();
ssc.awaitTermination();
}
}
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