ASA Query Language

 

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Note: Azure Table and Queue Storage support NoSQL and message handling for scalable cloud apps

ASA Query Language

ASA Query Language is a SQL-like language used in Azure Stream Analytics (ASA) to process real-time streaming data. It enables users to write queries that filter, transform, aggregate, and join streaming data coming from inputs like Azure Event Hubs, IoT Hub, or Blob Storage.

The language supports SELECT-FROM-WHERE syntax similar to SQL but adds features specific to time-based and streaming operations. It handles both windowing functions (like tumbling, hopping, and sliding windows) and temporal joins, making it ideal for real-time analytics.

Key Features:

Windowing Functions: Analyze data over time windows.

TUMBLINGWINDOW for fixed windows

HOPPINGWINDOW for overlapping windows

SLIDINGWINDOW for event-driven scenarios

Aggregations: Perform COUNT, SUM, AVG, MAX, etc., within time windows.

Joins: Join streams or reference data using JOIN ON with time constraints.

User-Defined Functions (UDFs): Custom logic in JavaScript.

Pattern Matching: Detect trends or anomalies in data streams.

Example Query:

sql

Copy

Edit

SELECT  

    DeviceId,  

    AVG(Temperature) AS AvgTemp  

FROM InputStream  

GROUP BY TumblingWindow(minute, 5), DeviceId

Use Cases:

IoT telemetry processing

Fraud detection

Clickstream analysis

Real-time dashboards

ASA Query Language makes it easy to extract insights from continuous data streams without writing complex code, leveraging the familiarity of SQL with real-time power.

Read More

ASA Inputs & Outputs

Azure Stream Analytics (ASA)

Azure IoT Hub Basics

AzureEvent Hubs

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