Flink1.18 Transfrom - 合流【Union】

package com.xiaohu.transfrom.streamtranform;

import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;

public class UnionDemo {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);
        DataStreamSource<Integer> source1 = env.fromElements(1, 2, 3, 4, 5);
        DataStreamSource<Integer> source2 = env.fromElements(11, 22, 33, 44, 55);
        DataStreamSource<String> source3 = env.fromElements("111", "222", "333");

        //注意：使用union，数据的类型必须要一样
//        DataStream<Integer> ds1 = source1.union(source2).union(source3.map(e -> Integer.parseInt(e)));
//        ds1.print();
        DataStream<Integer> ds2 = source1.union(source2, source3.map(e -> Integer.parseInt(e)));
        ds2.print();


        env.execute();
    }
}