Union算子：将多个数据流合并成一个新的数据流（数据类型必需一致）
示例环境、
java.version: 1.8.x flink.version: 1.11.1
示例数据源 （项目码云下载）
Flink 系例 之 搭建开发环境与数据
Union.java
import com.flink.examples.DataSource;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import java.util.List;
public class Union {
public static void main(String[] args) throws Exception {
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
List> tuple3List = DataSource.getTuple3ToList();
//Datastream 1
DataStream> dataStream1 = env.fromCollection(tuple3List);
//Datastream 2
DataStream> dataStream2 = env.fromCollection(tuple3List);
//Datastream 3
DataStream> dataStream = dataStream1.union(dataStream2);
dataStream.print();
env.execute("flink Union job");
}
}
打印结果
3> (王五,man,29) 2> (李四,girl,24) 3> (王五,man,29) 1> (张三,man,20) 1> (张三,man,20) 1> (伍七,girl,18) 1> (伍七,girl,18) 2> (吴八,man,30) 2> (李四,girl,24) 2> (吴八,man,30) 4> (刘六,girl,32) 4> (刘六,girl,32)
