FLink16--计数窗口--CountWindiwApp

一、依赖

https://www.cnblogs.com/robots2/p/16048648.html

二、代码

概念：窗口来多少条计算一次，存在滚动和滑动两种情况

package net.xdclass.class10;

import org.apache.flink.api.common.RuntimeExecutionMode;
import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.windowing.assigners.SlidingProcessingTimeWindows;
import org.apache.flink.streaming.api.windowing.time.Time;

import net.xdclass.model.VideoOrder;
import net.xdclass.source.VideoOrderSourceV2;

/**
 * @desc 窗口来多少条计算一次，存在滚动和滑动两种情况
 * @menu
 */
public class FLink16CountWindowApp {

    public static void main(String[] args) throws Exception{
        //WebUi方式运行
//        final StreamExecutionEnvironment env =
//                StreamExecutionEnvironment.createLocalEnvironmentWithWebUI(new Configuration());
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        //设置运行模式为流批一体
        env.setRuntimeMode(RuntimeExecutionMode.AUTOMATIC);
        //并行度
        env.setParallelism(1);
        //设置为自定义source
//        DataStream<VideoOrder> ds = env.addSource(new VideoOrderSourceV2());
        DataStream<VideoOrder> ds = env.addSource(new VideoOrderSourceV2());

        KeyedStream<VideoOrder, Object> keyByDs = ds.keyBy(new KeySelector<VideoOrder, Object>() {
            @Override
            public Object getKey(VideoOrder videoOrder) throws Exception {
                return videoOrder.getTitle();
            }
        });

        //count window，分组后，组内超过6个则进行一次统计。比如java课程数超过6个触发一次java课程的计算
        //分为滚动和滑动方式
        //滚动方式,分组后组内数据超过5个则触发
//        DataStream<VideoOrder> sumDs = keyByDs
//                .countWindow(6)
//                .sum("money");
        //滑动方式,分组后组内数据超过3个则触发，统计过去5个的数据
        DataStream<VideoOrder> sumDs = keyByDs
                .countWindow(5,3)
                .sum("money");

        sumDs.print();

        //DataStream需要调用execute,可以取个名称
        env.execute("Sailing Window job");
    }
}