KeyedProcessTimer
package com.atguigu.process;
import com.atguigu.bean.WaterSensor;
import com.atguigu.functions.WaterSensorMapFunction;
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.streaming.api.TimerService;
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.functions.KeyedProcessFunction;
import org.apache.flink.util.Collector;
import java.time.Duration;
public class KeyedProcessTimerDemo {
public static void main(String[] args) throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(1);
SingleOutputStreamOperator<WaterSensor> sensorDS = env
.socketTextStream("192.168.1.7", 9091)
.map(new WaterSensorMapFunction())
.assignTimestampsAndWatermarks(
WatermarkStrategy
.<WaterSensor>forBoundedOutOfOrderness(Duration.ofSeconds(3))
.withTimestampAssigner((element, ts) -> element.getTs() * 1000L)
);
KeyedStream<WaterSensor, String> sensorKS = sensorDS.keyBy(sensor -> sensor.getId());
// TODO Process:keyed
SingleOutputStreamOperator<String> process = sensorKS.process(
new KeyedProcessFunction<String, WaterSensor, String>() {
/**
* 来一条数据调用一次
* @param value
* @param ctx
* @param out
* @throws Exception
*/
@Override
public void processElement(WaterSensor value, Context ctx, Collector<String> out) throws Exception {
//获取当前数据的key
String currentKey = ctx.getCurrentKey();
// TODO 1.定时器注册
TimerService timerService = ctx.timerService();
// 1、事件时间的案例
Long currentEventTime = ctx.timestamp(); // 数据中提取出来的事件时间
timerService.registerEventTimeTimer(5000L);
System.out.println("当前key=" + currentKey + ",当前时间=" + currentEventTime + ",注册了一个5s的定时器");
// 2、处理时间的案例
// long currentTs = timerService.currentProcessingTime();
// timerService.registerProcessingTimeTimer(currentTs + 5000L);
// System.out.println("当前key=" + currentKey + ",当前时间=" + currentTs + ",注册了一个5s后的定时器");
// 3、获取 process的 当前watermark
// long currentWatermark = timerService.currentWatermark();
// System.out.println("当前数据=" + value + ",当前watermark=" + currentWatermark);
// 注册定时器: 处理时间、事件时间
// timerService.registerProcessingTimeTimer();
// timerService.registerEventTimeTimer();
// 删除定时器: 处理时间、事件时间
// timerService.deleteEventTimeTimer();
// timerService.deleteProcessingTimeTimer();
// 获取当前时间进展: 处理时间-当前系统时间, 事件时间-当前watermark
// long currentTs = timerService.currentProcessingTime();
// long wm = timerService.currentWatermark();
}
/**
* TODO 2.时间进展到定时器注册的时间,调用该方法
* @param timestamp 当前时间进展,就是定时器被触发时的时间
* @param ctx 上下文
* @param out 采集器
* @throws Exception
*/
@Override
public void onTimer(long timestamp, OnTimerContext ctx, Collector<String> out) throws Exception {
super.onTimer(timestamp, ctx, out);
String currentKey = ctx.getCurrentKey();
System.out.println("key=" + currentKey + "现在时间是" + timestamp + "定时器触发");
}
}
);
process.print();
env.execute();
}
}
/**
* TODO 定时器
* 1、keyed才有
* 2、事件时间定时器,通过watermark来触发的
* watermark >= 注册的时间
* 注意: watermark = 当前最大事件时间 - 等待时间 -1ms, 因为 -1ms,所以会推迟一条数据
* 比如, 5s的定时器,
* 如果 等待=3s, watermark = 8s - 3s -1ms = 4999ms,不会触发5s的定时器
* 需要 watermark = 9s -3s -1ms = 5999ms ,才能去触发 5s的定时器
* 3、在process中获取当前watermark,显示的是上一次的watermark
* =》因为process还没接收到这条数据对应生成的新watermark
*/