代码仓库
会同步代码到 GitHub
https://github.com/turbo-duck/flink-demo
当前章节
继续上一节的内容:https://blog.csdn.net/w776341482/article/details/139875037
上一节中,我们需要使用 nc
或者 telnet
等工具来模拟 Socket
流。这节我们写一个 ServerSocket
来模拟这些 操作,让流自动的写入不用我们手动去操作了。
POM.xml
与上一节一致,不需要修改
编写代码
还是和上一节一样的 Socket 流,这里略去其他的代码
DataStreamSource<String> textStream = streamExecutionEnvironment.socketTextStream(ip, port, "\n");
FlinkServer
继承 Thread
启动一个线程来进行Flink的服务
package icu.wzk.demo03;
import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.java.functions.KeySelector;
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.streaming.api.windowing.assigners.SlidingProcessingTimeWindows;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.util.Collector;
public class FlinkServer extends Thread {
@Override
public void run() {
String ip = "0.0.0.0";
int port = 9999;
StreamExecutionEnvironment streamExecutionEnvironment = StreamExecutionEnvironment.getExecutionEnvironment();
DataStreamSource<String> textStream = streamExecutionEnvironment.socketTextStream(ip, port, "\n");
SingleOutputStreamOperator<Tuple2<String, Long>> tuple2SingleOutputStreamOperator = textStream.flatMap(new FlatMapFunction<String, Tuple2<String, Long>>() {
@Override
public void flatMap(String s, Collector<Tuple2<String, Long>> collector) throws Exception {
String[] splits = s.split("\\s");
for (String word : splits) {
collector.collect(Tuple2.of(word, 1L));
}
}
});
SingleOutputStreamOperator<Tuple2<String, Long>> word = tuple2SingleOutputStreamOperator
.keyBy(new KeySelector<Tuple2<String, Long>, Object>() {
@Override
public Object getKey(Tuple2<String, Long> stringLongTuple2) throws Exception {
return stringLongTuple2.f0;
}
})
.window(SlidingProcessingTimeWindows.of(Time.seconds(5), Time.seconds(1)))
.sum(1);
System.out.println("wait word print()");
word.print();
try {
streamExecutionEnvironment.execute("stream!");
} catch (Exception e) {
throw new RuntimeException(e);
}
}
}
NumRandom
使用 ServerSocket
实现一个持续的流输出
package icu.wzk.demo03;
import java.io.OutputStream;
import java.io.PrintWriter;
import java.net.InetSocketAddress;
import java.net.ServerSocket;
import java.net.Socket;
import java.util.Random;
public class RandomNumClient extends Thread {
@Override
public void run() {
String ip = "0.0.0.0";
int port = 9999;
try {
ServerSocket serverSocket = new ServerSocket();
InetSocketAddress address = new InetSocketAddress(ip, port);
serverSocket.bind(address);
Socket socket = serverSocket.accept();
OutputStream output = socket.getOutputStream();
PrintWriter writer = new PrintWriter(output, true);
Random random = new Random();
for (int i = 0; i < 500; i ++) {
int randomNumber = random.nextInt(10) + 1;
writer.println(randomNumber);
System.out.println("ServerSocket Send To Flink: " + randomNumber);
Thread.sleep(200);
}
} catch (Exception e) {
throw new RuntimeException(e);
}
}
}
StartApp
将上述的两个类组装起来
package icu.wzk.demo03;
public class StartApp {
public static void main(String[] args) throws Exception {
RandomNumClient randomNumClient = new RandomNumClient();
FlinkServer flinkServer = new FlinkServer();
flinkServer.start();
randomNumClient.start();
}
}