| /* |
| * 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.common.operators.ResourceSpec; |
| import org.apache.flink.api.java.tuple.Tuple2; |
| import org.apache.flink.api.java.utils.ParameterTool; |
| import org.apache.flink.streaming.api.datastream.DataStream; |
| import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator; |
| import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; |
| import org.apache.flink.streaming.examples.wordcount.util.WordCountData; |
| import org.apache.flink.util.Collector; |
| |
| /** |
| * Implements the "WordCount" program that computes a simple word occurrence |
| * histogram over text files in a streaming fashion. |
| * |
| * <p>The input is a plain text file with lines separated by newline characters. |
| * |
| * <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>write a simple Flink Streaming program, |
| * <li>use tuple data types, |
| * <li>write and use user-defined functions. |
| * </ul> |
| */ |
| public class WordCount { |
| |
| // ************************************************************************* |
| // 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 resource config |
| ResourceSpec resourceSpec = null; |
| if (params.has("resource")) { |
| String resConfig = params.get("resource"); |
| if (resConfig != null && !resConfig.isEmpty()) { |
| String[] resConfigArr = resConfig.split(","); |
| double cpuCores = 0.0; |
| int heapMemory = 0; |
| for (String strResource : resConfigArr) { |
| String[] keyAndVal = strResource.split(":"); |
| if (keyAndVal != null && keyAndVal.length == 2) { |
| switch (keyAndVal[0]) { |
| case "vcores": |
| cpuCores = Double.valueOf(keyAndVal[1]); |
| break; |
| case "memory": |
| heapMemory = Integer.valueOf(keyAndVal[1]); |
| break; |
| default: |
| throw new RuntimeException("Unknown resource configuration: " + keyAndVal[0]); |
| } |
| } |
| } |
| resourceSpec = ResourceSpec.newBuilder().setCpuCores(cpuCores).setHeapMemoryInMB(heapMemory).build(); |
| System.out.println("cpuCores: " + cpuCores + ", heapMemory: " + heapMemory); |
| } |
| } |
| |
| int parallelism = 1; |
| if (params.has("parallelism")) { |
| parallelism = Integer.valueOf(params.get("parallelism")); |
| } |
| |
| // get input data |
| DataStream<String> text; |
| if (params.has("input")) { |
| // read the text file from given input path |
| text = env.readTextFile(params.get("input")); |
| } else { |
| System.out.println("Executing WordCount example with default input data set."); |
| System.out.println("Use --input to specify file input."); |
| // get default test text data |
| text = env.fromElements(WordCountData.WORDS); |
| } |
| |
| DataStream<Tuple2<String, Integer>> counts = null; |
| // split up the lines in pairs (2-tuples) containing: (word,1) |
| if (resourceSpec != null) { |
| System.out.println("Set resource spec: " + resourceSpec.toString()); |
| counts = ((SingleOutputStreamOperator<String>) text).setResources(resourceSpec) |
| .flatMap(new Tokenizer()).setParallelism(parallelism).setResources(resourceSpec) |
| // group by the tuple field "0" and sum up tuple field "1" |
| .keyBy(0).sum(1).setParallelism(parallelism).setResources(resourceSpec); |
| } else { |
| counts = text.flatMap(new Tokenizer()).setParallelism(parallelism) |
| // group by the tuple field "0" and sum up tuple field "1" |
| .keyBy(0).sum(1).setParallelism(parallelism); |
| } |
| |
| // emit result |
| if (params.has("output")) { |
| if (resourceSpec != null) { |
| counts.writeAsText(params.get("output")).setResources(resourceSpec); |
| } else { |
| 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("Streaming WordCount"); |
| } |
| |
| // ************************************************************************* |
| // 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, Tuple2<String, Integer>> { |
| private static final long serialVersionUID = 1L; |
| |
| @Override |
| public void flatMap(String value, Collector<Tuple2<String, Integer>> out) |
| throws Exception { |
| // 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 Tuple2<String, Integer>(token, 1)); |
| } |
| } |
| } |
| } |
| |
| } |