Flink从入门到实战四[DataStream API]-8-Source-从Socket中读取数据

基于Socket的数据源，在之前的demo中已经演示了，我们直接看代码：

package org.itzhimei.source;

import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.java.tuple.Tuple2;
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.util.Collector;

import java.util.Arrays;

/**
 * Stream Source From File
 */
public class StreamSourceFromSocket {

    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        //从文件中获取数据
        DataStream<String> dataStreamSource = env.socketTextStream("localhost", 7777);

        SingleOutputStreamOperator<Tuple2<String, Integer>> sum = dataStreamSource.flatMap(new FlatMapFunction<String, Tuple2<String, Integer>>() {
            @Override
            public void flatMap(String s, Collector<Tuple2<String, Integer>> collector) throws Exception {
                String[] words = s.split(" ");
                Arrays.stream(words).forEach((String sp) -> collector.collect(new Tuple2<String, Integer>(sp, 1)));
            }
        }).keyBy(item -> item.f0)
                .sum(1);

        sum.print();
        env.execute();
    }
}

测试数据

hello Flink
hello Java
how are you
I’m fine thank you and you
I’m Ok

输出结果

16> (Flink,1)
6> (thank,1)
15> (and,1)
9> (fine,1)
3> (I'm,1)
3> (I'm,2)
10> (you,1)
1> (Ok,1)
5> (hello,1)
5> (hello,2)
10> (you,2)
8> (are,1)
10> (you,3)
13> (Java,1)
11> (how,1)