Java tutorial
/* * 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. */ import scala.Tuple2; import com.google.common.collect.Lists; import org.apache.spark.SparkConf; import org.apache.spark.api.java.function.FlatMapFunction; import org.apache.spark.api.java.function.Function2; import org.apache.spark.api.java.function.PairFunction; import org.apache.spark.api.java.StorageLevels; import org.apache.spark.streaming.Durations; import org.apache.spark.streaming.api.java.JavaDStream; import org.apache.spark.streaming.api.java.JavaPairDStream; import org.apache.spark.streaming.api.java.JavaReceiverInputDStream; import org.apache.spark.streaming.api.java.JavaStreamingContext; import java.lang.Integer; import java.util.regex.Pattern; /** * Counts words in UTF8 encoded, '\n' delimited text received from the network every second. * * Usage: JavaNetworkWordCount <hostname> <port> * <hostname> and <port> describe the TCP server that Spark Streaming would connect to receive data. * * To run this on your local machine, you need to first run a Netcat server * `$ nc -lk 9999` * and then run the example * `$ bin/run-example org.apache.spark.examples.streaming.JavaNetworkWordCount localhost 9999` */ public final class JavaNetworkWordCount { private static final Pattern DELIMITER = Pattern.compile(" "); public static void main(String[] args) { if (args.length < 3) { System.err.println("Usage: JavaNetworkWordCount <app name> <code> <refresh rate in seconds>"); System.exit(1); } String name = args[0]; String kernel = args[1]; int refreshRateSeconds = (new Integer(args[2])).intValue(); StreamingExamples.setStreamingLogLevels(); // Create the context with a <refreshRateSeconds> second batch size SparkConf sparkConf = new SparkConf().setAppName(name); JavaStreamingContext ssc = new JavaStreamingContext(sparkConf, Durations.seconds(refreshRateSeconds)); // Create a JavaReceiverInputDStream on target ip:port and count the // words in input stream of \n delimited text (eg. generated by 'nc') // Note that no duplication in storage level only for running locally. // Replication necessary in distributed scenario for fault tolerance. JavaReceiverInputDStream<String> lines = ssc.socketTextStream(args[0], Integer.parseInt(args[1]), StorageLevels.MEMORY_AND_DISK_SER); JavaDStream<String> words = lines.flatMap(new FlatMapFunction<String, String>() { @Override public Iterable<String> call(String x) { return Lists.newArrayList(DELIMITER.split(x)); } }); JavaPairDStream<String, Integer> wordCounts = words.mapToPair(new PairFunction<String, String, Integer>() { @Override public Tuple2<String, Integer> call(String s) { return new Tuple2<String, Integer>(s, 1); } }).reduceByKey(new Function2<Integer, Integer, Integer>() { @Override public Integer call(Integer i1, Integer i2) { return i1 + i2; } }); wordCounts.print(); ssc.start(); ssc.awaitTermination(); } }