FLink14--核心窗口--TumblingWindiwApp

一、依赖

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

二、 代码

前言：window用作有keyBy情况，前面没有使用keyBy的话用windowAll，并行度会慢

package net.xdclass.class10;

import java.util.Date;

import org.apache.flink.api.common.RuntimeExecutionMode;
import org.apache.flink.api.common.functions.ReduceFunction;
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.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.windowing.assigners.TumblingAlignedProcessingTimeWindows;
import org.apache.flink.streaming.api.windowing.assigners.TumblingProcessingTimeWindows;
import org.apache.flink.streaming.api.windowing.time.Time;

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

/**
 * @desc 滚动窗口
 * @menu
 */
public class FLink14TumblingWindiwApp {

    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();
            }
        });

        //window用做有keyBy情况，没有的话用windowAll
        //新加个滚动窗口,做5秒开窗。其它字段为创建最早的信息
        //滚动和滑动都使用window设置
        DataStream<VideoOrder> sumDs = keyByDs
                .window(TumblingProcessingTimeWindows.of(Time.seconds(6)))
                .sum("money");

        sumDs.print();

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