/* * 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.flink.streaming.examples.wordcount; import org.apache.flink.api.common.functions.FlatMapFunction; import org.apache.flink.api.java.utils.ParameterTool; import org.apache.flink.examples.java.wordcount.util.WordCountData; import org.apache.flink.streaming.api.datastream.DataStream; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.util.Collector; /** * This example shows an implementation of WordCount without using the Tuple2 * type, but a custom class. * * <p> * Usage: <code>WordCount --input <path> --output <path></code><br> * If no parameters are provided, the program is run with default data from * {@link WordCountData}. * * <p> * This example shows how to: * <ul> * <li>use POJO data types, * <li>write a simple Flink program, * <li>write and use user-defined functions. * </ul> */ public class PojoExample { // ************************************************************************* // PROGRAM // ************************************************************************* public static void main(String[] args) throws Exception { // Checking input parameters final ParameterTool params = ParameterTool.fromArgs(args); // set up the execution environment final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); // make parameters available in the web interface env.getConfig().setGlobalJobParameters(params); // get input data DataStream<String> text; if (params.has("input")) { System.out.println("Executing WordCountPojo example with default input data set."); System.out.println("Use --input to specify file input."); // read the text file from given input path text = env.readTextFile(params.get("input")); } else { // get default test text data text = env.fromElements(WordCountData.WORDS); } DataStream<Word> counts = // split up the lines into Word objects text.flatMap(new Tokenizer()) // group by the field word and sum up the frequency .keyBy("word").sum("frequency"); if (params.has("output")) { counts.writeAsText(params.get("output")); } else { System.out.println("Printing result to stdout. Use --output to specify output path."); counts.print(); } // execute program env.execute("WordCount Pojo Example"); } // ************************************************************************* // DATA TYPES // ************************************************************************* /** * This is the POJO (Plain Old Java Object) that is being used for all the * operations. As long as all fields are public or have a getter/setter, the * system can handle them */ public static class Word { private String word; private Integer frequency; public Word() { } public Word(String word, int i) { this.word = word; this.frequency = i; } public String getWord() { return word; } public void setWord(String word) { this.word = word; } public Integer getFrequency() { return frequency; } public void setFrequency(Integer frequency) { this.frequency = frequency; } @Override public String toString() { return "(" + word + "," + frequency + ")"; } } // ************************************************************************* // USER FUNCTIONS // ************************************************************************* /** * Implements the string tokenizer that splits sentences into words as a * user-defined FlatMapFunction. The function takes a line (String) and * splits it into multiple pairs in the form of "(word,1)" ({@code Tuple2<String, * Integer>}). */ public static final class Tokenizer implements FlatMapFunction<String, Word> { private static final long serialVersionUID = 1L; @Override public void flatMap(String value, Collector<Word> out) { // normalize and split the line String[] tokens = value.toLowerCase().split("\\W+"); // emit the pairs for (String token : tokens) { if (token.length() > 0) { out.collect(new Word(token, 1)); } } } } }