SideOutput方法:(侧输出)从主数据流中根据outputTag获取额外的输出流(分流场景下使用)
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
SideOutput.java
import com.flink.examples.DataSource;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.api.java.tuple.Tuple4;
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.streaming.api.functions.ProcessFunction;
import org.apache.flink.util.Collector;
import org.apache.flink.util.OutputTag;
import java.util.List;
public class SideOutput {
public static void main(String[] args) throws Exception {
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(1);
List> tuple3List = DataSource.getTuple3ToList();
//Datastream
DataStream> dataStream = env.fromCollection(tuple3List);
//自定义man和girl两个性别tag
OutputTag> manTag = new OutputTag>("man"){};
OutputTag> girlTag = new OutputTag>("girl"){};
//将所有流数据输入到process做处理
SingleOutputStreamOperator> output = dataStream.process(new ProcessFunction, Tuple4>() {
@Override
public void processElement(Tuple3 value, Context ctx, Collector> out) throws Exception {
//将数据流按不同的性别划分,创建新的Tuple4,分别绑定到不同性别的tag
if (value.f1.equals("man")){
ctx.output(manTag, Tuple4.of(value.f0, value.f1, value.f2, "男"));
}else {
ctx.output(girlTag, Tuple4.of(value.f0, value.f1, value.f2, "女"));
}
}
});
//获取指定tag的数据流
DataStream> dataStream1 = output.getSideOutput(manTag);
DataStream> dataStream2 = output.getSideOutput(girlTag);
//打印
dataStream1.print();
dataStream2.print();
env.execute("flink Split job");
}
}
打印结果
(张三,man,20,男) (李四,girl,24,女) (王五,man,29,男) (刘六,girl,32,女) (伍七,girl,18,女) (吴八,man,30,男)



