Windowing in ASA

 

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Windowing in ASA

Windowing in ASA allows processing of real-time streaming data based on time or event-based intervals. It helps in grouping data for aggregation (e.g., COUNT, SUM, AVG) over a specific duration or condition. ASA supports four main types of windows:

Tumbling Window: Fixed-size, non-overlapping windows. Each event belongs to exactly one window. Ideal for periodic data aggregation like every 5 minutes.

sql

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SELECT COUNT(*) FROM input TIMESTAMP BY time

GROUP BY TumblingWindow(minute, 5)

Hopping Window: Fixed-size windows that can overlap. A single event can appear in multiple windows. Useful for sliding time analysis.

sql

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SELECT COUNT(*) FROM input TIMESTAMP BY time

GROUP BY HoppingWindow(minute, 5, 1)

Sliding Window: Event-driven windows that open and close based on the timing of incoming events. Provides more precise control for irregular event times.

sql

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Edit

SELECT COUNT(*) FROM input TIMESTAMP BY time

GROUP BY SlidingWindow(minute, 5)

Session Window: Dynamic windows based on user inactivity or session gaps. Useful for tracking sessions, like user activity on a website.

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SELECT userId, COUNT(*) FROM input TIMESTAMP BY time

GROUP BY SessionWindow(minute, 10)

These windows allow ASA to analyze data in real-time with flexible time logic. They are crucial for dashboards, alerts, and downstream analytics.

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