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Let us say I have a inputStream and I perform some window operation on it. What is the timestamp for the event created by performing some window operation on it. .... DataStream inputStream = // ... DataStream countStream = inputStream.keyBy(0) .timeWindow(time.Seconds(1)) .sum(); DataStream maxStream = inputStream.keyBy(0) .timeWindow(time.Seconds(1)) .max(); Now I want to combine the streams countStream and maxStream to find all timestamps at which the countStream for the last second was equal to the maxStream. NOTE: This is not exactly the problem I am trying to solve, but this is a representative example. Solving this would help me solve the real problem I need to solve. JavaScript questions and answers, JavaScript questions pdf, JavaScript question bank, JavaScript questions and answers pdf, mcq on JavaScript pdf, JavaScript questions and solutions, JavaScript mcq Test , Interview JavaScript questions, JavaScript Questions for Interview, JavaScript MCQ (Multiple Choice Questions)

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In the case that the timewindows are event time windows, the events they emit will be timestamped as having occurred at the end of the window. In the case of processing time windows, the events won't have timestamps and the CPU time-of-day clock will be used as the source of timing information. Update: Time windows in Flink are aligned to the epoch -- they are not relative to the first event, or anything like that. You are guaranteed that two event time windows that have the same duration and offset, e.g., two one-second-long tumbling windows, will collect events for exactly the same interval of time. The event stream emitted by an event time window is itself a stream with event time timestamps, and can be further windowed just like any other timestamped event stream. Just keep in mind that all of the events produced by one window instance (i.e., for the same second) will have the same timestamp. So if you follow a 1 sec window with a shorter window, e.g., 100 msec, then 9 times out of 10 the shorter window won't see any events.

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