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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.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));
}
}
}
}
}