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SPARK-2548 [STREAMING] JavaRecoverableWordCount is missing
Here's my attempt to re-port `RecoverableNetworkWordCount` to Java, following the example of its Scala and Java siblings. I fixed a few minor doc/formatting issues along the way I believe. Author: Sean Owen <[email protected]> Closes apache#2564 from srowen/SPARK-2548 and squashes the following commits: 0d0bf29 [Sean Owen] Update checkpoint call as in apache#2735 35f23e3 [Sean Owen] Remove old comment about running in standalone mode 179b3c2 [Sean Owen] Re-port RecoverableNetworkWordCount to Java example, and touch up doc / formatting in related examples
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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. | ||
| */ | ||
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| package org.apache.spark.examples.streaming; | ||
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| import java.io.File; | ||
| import java.io.IOException; | ||
| import java.nio.charset.Charset; | ||
| import java.util.Arrays; | ||
| import java.util.regex.Pattern; | ||
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| import scala.Tuple2; | ||
| import com.google.common.collect.Lists; | ||
| import com.google.common.io.Files; | ||
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| import org.apache.spark.SparkConf; | ||
| import org.apache.spark.api.java.JavaPairRDD; | ||
| 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.streaming.Durations; | ||
| import org.apache.spark.streaming.Time; | ||
| 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 org.apache.spark.streaming.api.java.JavaStreamingContextFactory; | ||
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| /** | ||
| * Counts words in text encoded with UTF8 received from the network every second. | ||
| * | ||
| * Usage: JavaRecoverableNetworkWordCount <hostname> <port> <checkpoint-directory> <output-file> | ||
| * <hostname> and <port> describe the TCP server that Spark Streaming would connect to receive | ||
| * data. <checkpoint-directory> directory to HDFS-compatible file system which checkpoint data | ||
| * <output-file> file to which the word counts will be appended | ||
| * | ||
| * <checkpoint-directory> and <output-file> must be absolute paths | ||
| * | ||
| * To run this on your local machine, you need to first run a Netcat server | ||
| * | ||
| * `$ nc -lk 9999` | ||
| * | ||
| * and run the example as | ||
| * | ||
| * `$ ./bin/run-example org.apache.spark.examples.streaming.JavaRecoverableNetworkWordCount \ | ||
| * localhost 9999 ~/checkpoint/ ~/out` | ||
| * | ||
| * If the directory ~/checkpoint/ does not exist (e.g. running for the first time), it will create | ||
| * a new StreamingContext (will print "Creating new context" to the console). Otherwise, if | ||
| * checkpoint data exists in ~/checkpoint/, then it will create StreamingContext from | ||
| * the checkpoint data. | ||
| * | ||
| * Refer to the online documentation for more details. | ||
| */ | ||
| public final class JavaRecoverableNetworkWordCount { | ||
| private static final Pattern SPACE = Pattern.compile(" "); | ||
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| private static JavaStreamingContext createContext(String ip, | ||
| int port, | ||
| String checkpointDirectory, | ||
| String outputPath) { | ||
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| // If you do not see this printed, that means the StreamingContext has been loaded | ||
| // from the new checkpoint | ||
| System.out.println("Creating new context"); | ||
| final File outputFile = new File(outputPath); | ||
| if (outputFile.exists()) { | ||
| outputFile.delete(); | ||
| } | ||
| SparkConf sparkConf = new SparkConf().setAppName("JavaRecoverableNetworkWordCount"); | ||
| // Create the context with a 1 second batch size | ||
| JavaStreamingContext ssc = new JavaStreamingContext(sparkConf, Durations.seconds(1)); | ||
| ssc.checkpoint(checkpointDirectory); | ||
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| // Create a socket stream on target ip:port and count the | ||
| // words in input stream of \n delimited text (eg. generated by 'nc') | ||
| JavaReceiverInputDStream<String> lines = ssc.socketTextStream(ip, port); | ||
| JavaDStream<String> words = lines.flatMap(new FlatMapFunction<String, String>() { | ||
| @Override | ||
| public Iterable<String> call(String x) { | ||
| return Lists.newArrayList(SPACE.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; | ||
| } | ||
| }); | ||
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| wordCounts.foreachRDD(new Function2<JavaPairRDD<String, Integer>, Time, Void>() { | ||
| @Override | ||
| public Void call(JavaPairRDD<String, Integer> rdd, Time time) throws IOException { | ||
| String counts = "Counts at time " + time + " " + rdd.collect(); | ||
| System.out.println(counts); | ||
| System.out.println("Appending to " + outputFile.getAbsolutePath()); | ||
| Files.append(counts + "\n", outputFile, Charset.defaultCharset()); | ||
| return null; | ||
| } | ||
| }); | ||
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| return ssc; | ||
| } | ||
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| public static void main(String[] args) { | ||
| if (args.length != 4) { | ||
| System.err.println("You arguments were " + Arrays.asList(args)); | ||
| System.err.println( | ||
| "Usage: JavaRecoverableNetworkWordCount <hostname> <port> <checkpoint-directory>\n" + | ||
| " <output-file>. <hostname> and <port> describe the TCP server that Spark\n" + | ||
| " Streaming would connect to receive data. <checkpoint-directory> directory to\n" + | ||
| " HDFS-compatible file system which checkpoint data <output-file> file to which\n" + | ||
| " the word counts will be appended\n" + | ||
| "\n" + | ||
| "In local mode, <master> should be 'local[n]' with n > 1\n" + | ||
| "Both <checkpoint-directory> and <output-file> must be absolute paths"); | ||
| System.exit(1); | ||
| } | ||
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| final String ip = args[0]; | ||
| final int port = Integer.parseInt(args[1]); | ||
| final String checkpointDirectory = args[2]; | ||
| final String outputPath = args[3]; | ||
| JavaStreamingContextFactory factory = new JavaStreamingContextFactory() { | ||
| @Override | ||
| public JavaStreamingContext create() { | ||
| return createContext(ip, port, checkpointDirectory, outputPath); | ||
| } | ||
| }; | ||
| JavaStreamingContext ssc = JavaStreamingContext.getOrCreate(checkpointDirectory, factory); | ||
| ssc.start(); | ||
| ssc.awaitTermination(); | ||
| } | ||
| } |
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