练习 ： Flink 水位线 Flink_Watermark_Test

import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.streaming.api.TimeCharacteristic;
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.functions.timestamps.BoundedOutOfOrdernessTimestampExtractor;
import org.apache.flink.streaming.api.windowing.time.Time;

public class Flink_Watermark_Test {
    public static void main(String[] args) {
            StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
            env.setParallelism(1);
            //时间语义：EvenTime
            env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
            //套接字
            DataStreamSource<String> stream = env.socketTextStream("hadoop106", 9999);
            //封装成传感器对象
            SingleOutputStreamOperator<Sensor> map = stream.map(new MapFunction<String, Sensor>() {
                @Override
                public Sensor map(String s) throws Exception {
                    String[] split = s.split(",");
                    return new Sensor(split[0], Long.valueOf(split[1]), Double.valueOf(split[2]));
                }
            });
            //水位线允许3s延迟
            SingleOutputStreamOperator<Sensor> datas = map.assignTimestampsAndWatermarks(new BoundedOutOfOrdernessTimestampExtractor<Sensor>(Time.seconds(3)) {
                @Override
                public long extractTimestamp(Sensor sen) {
                    return sen.getSensor_timeStamp() ;
                }
            });
            //滑动窗口 大小 10s 步长 5s 输出结果
            datas.keyBy("sensor_id").timeWindow(Time.seconds(10),Time.seconds(5)).sum("sensor_Temp").print();

            try {
                env.execute();
            } catch (Exception e) {
                e.printStackTrace();
            }
        }
    }