You are building an Azure Stream Analytics pipeline. You need to configure the pipeline to analyze events that occur during a five-minute window after an event fires. Which windowing function should you use?

Category : Microsoft Azure Data Engineering | Sub Category : Practice Assessment for Exam DP-203 - Data Engineering on Microsoft Azure | By Prasad Bonam Last updated: 2023-09-10 03:56:51 Viewed : 285

You are building an Azure Stream Analytics pipeline.

You need to configure the pipeline to analyze events that occur during a five-minute window after an event fires.

Which windowing function should you use?

Ans: SlidingWindow

To analyze events that occur during a five-minute window after an event fires in an Azure Stream Analytics pipeline, you should use the "Hopping Window" windowing function. Specifically, you will configure the hopping window with a 5-minute window size. Here is how you can set it up:

sqlCopy code
SELECT *
FROM inputEventHub
TIMESTAMP BY EventTime
GROUP BY HoppingWindow(minute, 5, 5)

In this SQL query:

• inputEventHub is the name of your input source (e.g., Azure Event Hub).
• TIMESTAMP BY EventTime indicates the field that contains the event timestamp. Replace EventTime with the actual timestamp field in your data.
• GROUP BY HoppingWindow(minute, 5, 5) specifies that you want to group events into 5-minute hopping windows with a 5-minute slide or hop. This means that a new window starts every 5 minutes, and it includes events from the last 5 minutes.

With this configuration, you will be able to analyze events that occur during a 5-minute window following each events timestamp. It allows you to perform real-time analysis on events within this time frame, making it suitable for scenarios where you want to consider events in a specific time range after an event fires.