即使状态存在密钥,ProcessElement发出记录
我有一个保存数据2分钟的状态,即使该密钥有一个州,有时仍然会发出记录。
@Override
public void processElement(EngagerEvents value, KeyedProcessFunction<String, EngagerEvents, String>.Context ctx, Collector<String> out) throws Exception {
if (anonymousIdHasBeenSeen.value() == null) {
System.out.println("time stamp emitting: " +jsonNode.get("server_timestamp"));
// key is not available in the state
anonymousIdHasBeenSeen.update(true);
System.out.println("TIMER START TIME: " +ctx.timestamp());
out.collect(value.getEventString());
ctx.timerService().registerProcessingTimeTimer(ctx.timestamp() + (stateTtl * 1000));
}
}
TIMER TRIGGER
-------------
public void onTimer(long timestamp, OnTimerContext ctx, Collector<String> out)
throws Exception {
// triggers after ttl has passed
System.out.println("Call back triggered : time : " +timestamp + " value : " +anonymousIdHasBeenSeen.value());
if (anonymousIdHasBeenSeen.value()) {
anonymousIdHasBeenSeen.clear();
}
}
我的模拟器代码可生产到Kafka的数据 - IM泵送Anonymid 111,5倍
public static void main(String[] args) {
int n = 1; // Number of threads
for (int i = 0; i < n; i++) {
Thread thread = new Thread(new ExecutorThread());
thread.start();
}
for (int i = 0; i < 5; i++) {
ProducerRecord<String, String> record = new ProducerRecord<>("topic", key ,""{"anonymousId": "111", "device": "ios"}"");
try {
producer.send(record);
Thread.sleep(500);
} catch (SerializationException | InterruptedException e) {
// may need to do something with it
}
}
我用Anonymousid键入。就我而言,只有一个Anonymid 111。回电触发器是60秒,
DataStream<String> keyedStream = mappedEngagerEventsDataStream.keyBy(EngagerEvents::getAnonymousId)
.process(new KeyedProcessingWithCallBack(Long.parseLong(60))
.uid("engager-events-keyed-processing");
我在这里做错了什么?我尝试调试设置一个断点,即使控件不在IF条件内(Sout Insid如果未打印条件),我也会看到发出了特定事件。
我在这里做错了吗?为什么即使我的外出也会发出事件。有人可以指出我在这里做错了什么。
I have a state which holds a data for 2 mins, sometime processElement still emits the record out even though there is a state present for that key.
@Override
public void processElement(EngagerEvents value, KeyedProcessFunction<String, EngagerEvents, String>.Context ctx, Collector<String> out) throws Exception {
if (anonymousIdHasBeenSeen.value() == null) {
System.out.println("time stamp emitting: " +jsonNode.get("server_timestamp"));
// key is not available in the state
anonymousIdHasBeenSeen.update(true);
System.out.println("TIMER START TIME: " +ctx.timestamp());
out.collect(value.getEventString());
ctx.timerService().registerProcessingTimeTimer(ctx.timestamp() + (stateTtl * 1000));
}
}
TIMER TRIGGER
-------------
public void onTimer(long timestamp, OnTimerContext ctx, Collector<String> out)
throws Exception {
// triggers after ttl has passed
System.out.println("Call back triggered : time : " +timestamp + " value : " +anonymousIdHasBeenSeen.value());
if (anonymousIdHasBeenSeen.value()) {
anonymousIdHasBeenSeen.clear();
}
}
My simulator code which produces data to kafka - im pumping anonymousId 111, 5 times
public static void main(String[] args) {
int n = 1; // Number of threads
for (int i = 0; i < n; i++) {
Thread thread = new Thread(new ExecutorThread());
thread.start();
}
for (int i = 0; i < 5; i++) {
ProducerRecord<String, String> record = new ProducerRecord<>("topic", key ,""{"anonymousId": "111", "device": "ios"}"");
try {
producer.send(record);
Thread.sleep(500);
} catch (SerializationException | InterruptedException e) {
// may need to do something with it
}
}
I'm keying by anonymousId. In my case there is only one anonymousId 111. call back trigger is 60 secs
DataStream<String> keyedStream = mappedEngagerEventsDataStream.keyBy(EngagerEvents::getAnonymousId)
.process(new KeyedProcessingWithCallBack(Long.parseLong(60))
.uid("engager-events-keyed-processing");
Am I doing something wrong here ? I tried debugging setting a break points, Even if the control doesnt go inside the If condition(sout insid If condition aren't printed) I see that particular event emitted out.
Am I doing something wrong here ? Why is the event emitted even though my out.collect inside If statement ? Can someone please point out what am I doing wrong here.
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