2021年大数据Flink（十九）：案例一 基于时间的滚动和滑动窗口

package cn.it.window;

import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import org.apache.flink.api.common.functions.MapFunction;
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.windowing.assigners.SlidingProcessingTimeWindows;
import org.apache.flink.streaming.api.windowing.assigners.TumblingProcessingTimeWindows;
import org.apache.flink.streaming.api.windowing.time.Time;

/**
 * Author lanson
 * Desc
 * nc -lk 9999
 * 有如下数据表示:
 * 信号灯编号和通过该信号灯的车的数量
9,3
9,2
9,7
4,9
2,6
1,5
2,3
5,7
5,4
 * 需求1:每5秒钟统计一次，最近5秒钟内，各个路口通过红绿灯汽车的数量--基于时间的滚动窗口
 * 需求2:每5秒钟统计一次，最近10秒钟内，各个路口通过红绿灯汽车的数量--基于时间的滑动窗口
 */
public class WindowDemo01_TimeWindow {
    public static void main(String[] args) throws Exception {
        //1.env
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        //2.Source
        DataStreamSource<String> socketDS = env.socketTextStream("node1", 9999);

        //3.Transformation
        //将9,3转为CartInfo(9,3)
        SingleOutputStreamOperator<CartInfo> cartInfoDS = socketDS.map(new MapFunction<String, CartInfo>() {
            @Override
            public CartInfo map(String value) throws Exception {
                String[] arr = value.split(",");
                return new CartInfo(arr[0], Integer.parseInt(arr[1]));
            }
        });

        //分组
        //KeyedStream<CartInfo, Tuple> keyedDS = cartInfoDS.keyBy("sensorId");

        // * 需求1:每5秒钟统计一次，最近5秒钟内，各个路口/信号灯通过红绿灯汽车的数量--基于时间的滚动窗口
        //timeWindow(Time size窗口大小, Time slide滑动间隔)
        SingleOutputStreamOperator<CartInfo> result1 = cartInfoDS
                .keyBy(CartInfo::getSensorId)
                //.timeWindow(Time.seconds(5))//当size==slide,可以只写一个
                //.timeWindow(Time.seconds(5), Time.seconds(5))
                .window(TumblingProcessingTimeWindows.of(Time.seconds(5)))
                .sum("count");

        // * 需求2:每5秒钟统计一次，最近10秒钟内，各个路口/信号灯通过红绿灯汽车的数量--基于时间的滑动窗口
        SingleOutputStreamOperator<CartInfo> result2 = cartInfoDS
                .keyBy(CartInfo::getSensorId)
                //.timeWindow(Time.seconds(10), Time.seconds(5))
                .window(SlidingProcessingTimeWindows.of(Time.seconds(10), Time.seconds(5)))
                .sum("count");

        //4.Sink
/*
1,5
2,5
3,5
4,5
*/
        //result1.print();
        result2.print();

        //5.execute
        env.execute();
    }
    @Data
    @AllArgsConstructor
    @NoArgsConstructor
    public static class CartInfo {
        private String sensorId;//信号灯id
        private Integer count;//通过该信号灯的车的数量
    }
}