Mac 上搭建 Flink 1.6.0 環境並構建執行簡單程式入門

brew install apache-flink

flink --version

Version: 1.6.0, Commit ID: ff472b4

進入安裝目錄：

cd /usr/local/Cellar/apache-flink/1.6.0/libexec/bin

執行下面命令

./start-cluster.sh

啟動日誌：

Starting cluster.
Starting standalonesession daemon on host zhisheng.
Starting taskexecutor daemon on host zhisheng.

package com.zhisheng.flink;

import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.util.Collector;

/**
 * Created by zhisheng_tian on 2018/9/18
 */
public class SocketTextStreamWordCount {
public static void main(String[] args) throws Exception {
//引數檢查
if (args.length != 2) {
System.err.println("USAGE:\nSocketTextStreamWordCount <hostname> <port>");
return;
}

String hostname = args[0];
Integer port = Integer.parseInt(args[1]);


// set up the streaming execution environment
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

//獲取資料
DataStreamSource<String> stream = env.socketTextStream(hostname, port);

//計數
SingleOutputStreamOperator<Tuple2<String, Integer>> sum = stream.flatMap(new LineSplitter())
.keyBy(0)
.sum(1);

sum.print();

env.execute("Java WordCount from SocketTextStream Example");
}

public static final class LineSplitter implements FlatMapFunction<String, Tuple2<String, Integer>> {
@Override
public void flatMap(String s, Collector<Tuple2<String, Integer>> collector) {
String[] tokens = s.toLowerCase().split("\\W+");

for (String token: tokens) {
if (token.length() > 0) {
collector.collect(new Tuple2<String, Integer>(token, 1));
}
}
}
}
}

mvn clean package -Dmaven.test.skip=true

nc -l 9000

flink run -c com.zhisheng.flink.SocketTextStreamWordCount /Users/zhisheng/IdeaProjects/flink/word-count/target/original-word-count-1.0-SNAPSHOT.jar 127.0.0.1 9000

tail -f flink-zhisheng-taskexecutor-0-zhisheng.out