The TimeWindow object is not crucial. It is a straightforward structure that holds the beginning and end timestamps for the window, and nothing else. It's name makes it sound important, nevertheless it's simply used to encode a duplicate of the data describing the time interval the incoming event is being assigned to. Everything was working perfectly fine. Since there's a requirement to learn the window time from element, I began utilizing EventTimeSessionWindow and added canMerge() operate in the trigger. Clear() is not getting invoked ever, nor are onProcessingTime() & onEventTime(). I see that timestamp is at all times set to the identical value, regardless of when the element was obtained. It's actually the WindowOperator that has the important window knowledge. Logically it's keeping one thing like a map, where the keys are the intervals described by the TimeWindow objects, and the values are the lists of occasions assigned to these intervals. I'm afraid the implementation of Flink's datastream windows could be very complex, and uses some quite obscure features of the underlying runtime. Team of three youngsters, & a captain is required.
10 kids can play chess of whom only three qualified to behave captain. Browse other questions tagged java triggers apache-flink or ask your personal question. Tumbling home windows aren't merging home windows, so these code paths aren't relevant to this specific instance. Connect and share data inside a single location that's structured and straightforward to go looking.


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