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Merge pull request #110577 from mamccrea/patch-48
Stream Analytics: small clarification
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articles/stream-analytics/stream-analytics-time-handling.md

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@@ -91,7 +91,7 @@ You may have noticed another concept called early arrival window, that looks lik
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Because Azure Stream Analytics guarantees it always generates complete results, you can only specify **job start time** as the first output time of the job, not the input time. The job start time is required so that the complete window is processed, not just from the middle of the window.
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Stream Analytics then derives the starting time from the query specification. However, because input event broker is only indexed by arrival time, the system has to translate the starting event time to arrival time. The system can start processing events from that point in the input event broker. With the early arriving window limit, the translation is straightforward. It’s starting event time minus the 5-minute early arriving window. This calculation also means that the system drops all events that are seen having event time 5 minutes greater than arrival time.
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Stream Analytics then derives the starting time from the query specification. However, because input event broker is only indexed by arrival time, the system has to translate the starting event time to arrival time. The system can start processing events from that point in the input event broker. With the early arriving window limit, the translation is straightforward. It is the starting event time minus the 5-minute early arriving window. This calculation also means that the system drops all events that are seen as having an event time 5 minutes ealier than the arrival time.
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This concept is used to ensure the processing is repeatable no matter where you start to output from. Without such a mechanism, it would not be possible to guarantee repeatability, as many other streaming systems claim they do.
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