大数据-玩转数据-Flink定时器-Toy模板网

这篇具有很好参考价值的文章主要介绍了大数据-玩转数据-Flink定时器。希望对大家有所帮助。如果存在错误或未考虑完全的地方，请大家不吝赐教，您也可以点击"举报违法"按钮提交疑问。

一、说明

基于处理时间或者事件时间处理过一个元素之后, 注册一个定时器, 然后指定的时间执行.
Context和OnTimerContext所持有的TimerService对象拥有以下方法:
currentProcessingTime(): Long 返回当前处理时间
currentWatermark(): Long 返回当前watermark的时间戳
registerProcessingTimeTimer(timestamp: Long): Unit 会注册当前key的processing time的定时器。当processing time到达定时时间时，触发timer。
registerEventTimeTimer(timestamp: Long): Unit 会注册当前key的event time 定时器。当水位线大于等于定时器注册的时间时，触发定时器执行回调函数。
deleteProcessingTimeTimer(timestamp: Long): Unit 删除之前注册处理时间定时器。如果没有这个时间戳的定时器，则不执行。
deleteEventTimeTimer(timestamp: Long): Unit 删除之前注册的事件时间定时器，如果没有此时间戳的定时器，则不执行。文章来源地址https://www.toymoban.com/news/detail-689287.html

二、基于处理时间的定时器

package com.lyh.flink08;

import com.lyh.bean.WaterSensor;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.KeyedProcessFunction;
import org.apache.flink.util.Collector;

public class ProcessTime {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);
        SingleOutputStreamOperator<WaterSensor> stream = env.socketTextStream("hadoop100", 9999)
                .map(line -> {
                    String[] datas = line.split(",");
                    return new WaterSensor(datas[0],
                            Long.valueOf(datas[1]),
                            Integer.valueOf(datas[2]));

                });
        stream.keyBy(WaterSensor::getId)
                .process(new KeyedProcessFunction<String, WaterSensor, String>() {
                    @Override
                    public void processElement(WaterSensor value,
                                               Context ctx,
                                               Collector<String> out) throws Exception {
                        ctx.timerService().registerProcessingTimeTimer(ctx.timerService().currentProcessingTime() + 5000);
                        out.collect(value.toString());

                    }

                    @Override
                    public void onTimer(long timestamp, OnTimerContext ctx, Collector<String> out) throws Exception {
                        System.out.println(timestamp);
                        out.collect("wo be chu fa le ");
                    }
                }).print();
        env.execute();
    }
}

三、基于事件时间的定时器

package com.lyh.flink08;

import com.lyh.bean.WaterSensor;
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.KeyedProcessFunction;
import org.apache.flink.util.Collector;

import java.time.Duration;

public class EventTime_s {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);
        SingleOutputStreamOperator<WaterSensor> stream = env.socketTextStream("hadoop100", 9999)
                .map(line -> {
                    String[] datas = line.split(",");
                    return new WaterSensor(
                            datas[0],
                            Long.valueOf(datas[1]),
                            Integer.valueOf(datas[2]));
                });

            WatermarkStrategy<WaterSensor> wms = WatermarkStrategy
            .<WaterSensor>forBoundedOutOfOrderness(Duration.ofSeconds(3))
            .withTimestampAssigner((element,recordTimestamp) -> element.getTs() * 1000);
            stream.assignTimestampsAndWatermarks(wms)
                    .keyBy(WaterSensor::getId)
                    .process(new KeyedProcessFunction<String, WaterSensor, String>() {
                        @Override
                        public void processElement(WaterSensor value,
                                                   Context ctx,
                                                   Collector<String> out) throws Exception {
                            System.out.println(ctx.timestamp());
                            ctx.timerService().registerProcessingTimeTimer(ctx.timestamp()+5000);
                            out.collect(value.toString());
                        }

                        @Override
                        public void onTimer(long timestamp, OnTimerContext ctx, Collector<String> out) throws Exception {
                           System.out.println("定时器被触发了");
                        }
                    }).print();
            env.execute();
    }
}