We had a larger discussion on stackoverflow [1], so I'm adding a cross link
if any other user is coming here first.

[1]
https://stackoverflow.com/questions/61309174/modelling-time-for-complex-events-generated-out-of-simple-ones/

On Mon, Apr 20, 2020 at 6:52 AM Salva Alcántara <salcantara...@gmail.com>
wrote:

> In my case, the relationship between input and output events is that output
> events are generated out of some rules based on input events. Essentially,
> output events correspond to specific patterns / sequences of input events.
> You can think of output events as detecting certain anomalies or abnormal
> conditions. So I guess we are more in the second case you mention where the
> Flink TM can be regarded as a generator and hence using the processing time
> makes sense.
>
> Indeed, I am using both the processing time and the event time watermark
> value at the moment of generating the output events. I think both convey
> useful information. In particular, the processing time looks as the logical
> timestamp for the output events. However, although that would be an
> exception, it might also happen that my flink app is processing old data at
> some point. That is why I am also adding another timestamp with the current
> event-time watermark value. This allows the consumer of the output events
> to
> detect whether the output event corresponds to old data or not (by
> comparing
> the difference between the processing time and event time timestamps, which
> should in normal conditions be close to each other, except when processing
> old data).
>
> In the case of using both, what naming would you use for the two fields?
> Something along the lines of event_time and processing_time seems to leak
> implementation details of my app to the external services...
>
>
>
> --
> Sent from:
> http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/
>


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