41、Flink 的默认窗口触发器 EventTime 代码示例

1、ContinuousEventTimeTrigger

根据间隔时间周期性触发窗口或者当 Window 的结束时间小于当前的 watermark 时触发窗口计算。

bash 复制代码
ContinuousEventTimeTrigger.of(Duration.ofSeconds(3))

2、EventTimeTrigger

EventTimeWindows 默认使用,会在 watermark 越过窗口结束时间后直接触发。

3、完整代码示例

bash 复制代码
import org.apache.flink.api.common.eventtime.SerializableTimestampAssigner;
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.java.tuple.Tuple2;
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.windowing.WindowFunction;
import org.apache.flink.streaming.api.windowing.assigners.GlobalWindows;
import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows;
import org.apache.flink.streaming.api.windowing.assigners.TumblingProcessingTimeWindows;
import org.apache.flink.streaming.api.windowing.triggers.ContinuousEventTimeTrigger;
import org.apache.flink.streaming.api.windowing.triggers.ContinuousProcessingTimeTrigger;
import org.apache.flink.streaming.api.windowing.triggers.CountTrigger;
import org.apache.flink.streaming.api.windowing.triggers.EventTimeTrigger;
import org.apache.flink.streaming.api.windowing.windows.GlobalWindow;
import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
import org.apache.flink.util.Collector;

import java.time.Duration;

public class _10_WindowTriggerDefaultEventTime {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        DataStreamSource<String> input = env.socketTextStream("localhost", 8888);

        // 测试时限制了分区数,生产中需要设置空闲数据源
        env.setParallelism(2);

        // 事件时间需要设置水位线策略和时间戳
        SingleOutputStreamOperator<Tuple2<String, Long>> map = input.map(new MapFunction<String, Tuple2<String, Long>>() {
            @Override
            public Tuple2<String, Long> map(String input) throws Exception {
                String[] fields = input.split(",");
                return new Tuple2<>(fields[0], Long.parseLong(fields[1]));
            }
        });

        SingleOutputStreamOperator<Tuple2<String, Long>> watermarks = map.assignTimestampsAndWatermarks(WatermarkStrategy.<Tuple2<String, Long>>forBoundedOutOfOrderness(Duration.ofSeconds(0))
                .withTimestampAssigner(new SerializableTimestampAssigner<Tuple2<String, Long>>() {
                    @Override
                    public long extractTimestamp(Tuple2<String, Long> input, long l) {
                        return input.f1;
                    }
                }));

        // ContinuousEventTimeTrigger(根据间隔时间周期性触发窗口或者当 Window 的结束时间小于当前的 watermark 时触发窗口计算)
        //a,1718089200000
        //b,1718089200000
        //c,1718089200000
        //
        //a,1718089203000
        //b,1718089203000
        //
        //1718089200000-1718089205000
        //2> a
        //2> a
        //1718089200000-1718089205000
        //1> b
        //1> b
        //1718089200000-1718089205000
        //1> c
        //
        //c,1718089203000
        //
        //a,1718089205000
        //b,1718089205000
        //
        //1718089200000-1718089205000
        //2> a
        //2> a
        //1718089200000-1718089205000
        //1> b
        //1> b
        //1718089200000-1718089205000
        //1> c
        //1> c
        //
        //1718089200000-1718089205000
        //2> a
        //2> a
        //1718089200000-1718089205000
        //1> b
        //1> b
        //1718089200000-1718089205000
        //1> c
        //1> c
        //
        //c,1718089205000
        // EventTimeTrigger(EventTimeWindows 默认使用,会在 watermark 越过窗口结束时间后直接触发)
        //a,1718089200000
        //b,1718089200000
        //c,1718089200000
        //
        //a,1718089203000
        //b,1718089203000
        //c,1718089203000
        //
        //a,1718089205000
        //b,1718089205000
        //
        //1718089200000-1718089205000
        //2> a
        //2> a
        //1718089200000-1718089205000
        //1> b
        //1> b
        //1718089200000-1718089205000
        //1> c
        //1> c
        //
        //c,1718089205000
        watermarks.keyBy(e -> e.f0)
                .window(TumblingEventTimeWindows.of(Duration.ofSeconds(5)))
                .trigger(ContinuousEventTimeTrigger.of(Duration.ofSeconds(3)))
//                .trigger(EventTimeTrigger.create())
                .apply(new WindowFunction<Tuple2<String, Long>, String, String, TimeWindow>() {
                    @Override
                    public void apply(String s, TimeWindow timeWindow, Iterable<Tuple2<String, Long>> iterable, Collector<String> collector) throws Exception {
                        System.out.println(timeWindow.getStart() + "-" + timeWindow.getEnd());

                        for (Tuple2<String, Long> tuple : iterable) {
                            collector.collect(tuple.f0);
                        }
                    }
                }).print();

        env.execute();
    }
}
相关推荐
企业智能研究1 小时前
企业如何落地企微私域智能客服来降本增效:从技术选型到实施落地的完整指南
大数据·人工智能·企业微信·智能客服
delishcomcn1 小时前
边缘计算+AI模型:电化铝分切装备的智能化改造路径
大数据·人工智能·边缘计算
太原geo小侦探2 小时前
2026门店AI流量实测测评:同为实体门店,AI问答曝光差距在哪?
大数据·人工智能·生活·流量运营·内容运营
AI大法师2 小时前
一个机场如何被做成 IP 场景:宝可梦机场的设计方法总结
大数据·人工智能·设计模式·新媒体运营
朴马丁4 小时前
从制造到智造:PLM如何赋能企业研发创新
大数据·运维·人工智能·食品行业·流程行业plm·化工新材料行业·新能源材料行业
大大大大晴天️7 小时前
Hudi + StarRocks 查询加速:原理与实践
大数据·starrocks·hudi
夜郎king7 小时前
解决AI图文解析偏差:CodeBuddy多模型交叉校验+腾讯地图Skill经纬度定位实战
大数据·人工智能
智慧物业老杨7 小时前
物业费公共收益维修资金三类资金分账的合规管控
大数据·人工智能·物联网
不动明王19847 小时前
Presto 查询引擎内核详解:Worker 本地执行模型——从物理计划到可调度执行单元
大数据·presto·湖仓·查询引擎内核·pipeline执行
tkevinjd7 小时前
MiniCode 项目详解7:Memory 记忆系统
大数据·python·搜索引擎·llm·agent