Hi,
可以看下事件时间戳的生成，
https://ci.apache.org/projects/flink/flink-docs-release-1.8/dev/event_timestamps_watermarks.html下面例子里时间戳都是来自element里面的时间字段。还有一个AscendingTimestampExtractor。
/**
* This generator generates watermarks assuming that elements arrive out of order,
* but only to a certain degree. The latest elements for a certain timestamp t will arrive
* at most n milliseconds after the earliest elements for timestamp t.
*/publicclassBoundedOutOfOrdernessGeneratorimplementsAssignerWithPeriodicWatermarks<MyEvent>{privatefinallongmaxOutOfOrderness=3500;// 3.5 secondsprivatelongcurrentMaxTimestamp;@OverridepubliclongextractTimestamp(MyEventelement,longpreviousElementTimestamp){longtimestamp=element.getCreationTime();currentMaxTimestamp=Math.max(timestamp,currentMaxTimestamp);returntimestamp;}@OverridepublicWatermarkgetCurrentWatermark(){// return the watermark as current highest timestamp minus the out-of-orderness boundreturnnewWatermark(currentMaxTimestamp-maxOutOfOrderness);}}/**
* This generator generates watermarks that are lagging behind processing time by a fixed amount.
* It assumes that elements arrive in Flink after a bounded delay.
*/publicclassTimeLagWatermarkGeneratorimplementsAssignerWithPeriodicWatermarks<MyEvent>{privatefinallongmaxTimeLag=5000;// 5 seconds@OverridepubliclongextractTimestamp(MyEventelement,longpreviousElementTimestamp){returnelement.getCreationTime();}@OverridepublicWatermarkgetCurrentWatermark(){// return the watermark as current time minus the maximum time lagreturnnewWatermark(System.currentTimeMillis()-maxTimeLag);}}
publicclassPunctuatedAssignerimplementsAssignerWithPunctuatedWatermarks<MyEvent>{@OverridepubliclongextractTimestamp(MyEventelement,longpreviousElementTimestamp){returnelement.getCreationTime();}@OverridepublicWatermarkcheckAndGetNextWatermark(MyEventlastElement,longextractedTimestamp){returnlastElement.hasWatermarkMarker()?newWatermark(extractedTimestamp):null;}}
希望能有所帮助。
DataStream和kafkaSource后面都可以调用assignTimestampsAndWatermarks。
kafkaSource.assignTimestampsAndWatermarks(newAscendingTimestampExtractor<MyType>(){@OverridepubliclongextractAscendingTimestamp(MyTypeelement){returnelement.eventTimestamp();}});
在 2019-08-07 15:47:41，"xiaohei.info" <
[hidden email]> 写道：
>
>hi，all：
> event time这个时间戳是在什么时候打到数据上面去的，看api是在flink source收到数据之后再标注的，并不是真正的数据源携带过来的（比如手机终端）？使用kafka source的话根据文档的定义kafka携带的时间戳也仅仅是kafka收到数据的时候打上的时间戳。
> 那么有个问题：以kafka为例，数据到队列的时候按「顺序」打上时间戳，那么如果数据是「乱序到达」的也被打上了「递增的时间戳」，后续基于event-time的处理都是基于这个时间戳来进行，那不就丧失了真实世界的定义吗？
> 不知道有哪里是我理解不对的地方望指教！
> 祝好~
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