Understanding Group by Rollup with Examples in Snowflake

Data analysis stands as the backbone of informed decision-making for modern businesses. Snowflake, renowned for its robust functionalities, offers a comprehensive suite of features for advanced data manipulation. Among these, the 'Group by Rollup' function emerges as a cornerstone for in-depth analysis. In this guide, we delve into the intricacies of Group by Rollup in Snowflake, exploring its features and real-world applications.

What is Group by Rollup in Snowflake?

Group by Rollup is a powerful feature within Snowflake that facilitates data aggregation across multiple levels in a single query. It extends the capabilities of traditional SQL queries, allowing users to generate subtotal rows alongside grand totals, offering a holistic view of the data.

The Essence of Group by Rollup

This functionality enables analysts to create summarized results across various dimensions without the need for multiple queries. By specifying columns for grouping, Group by Rollup produces aggregated results at different levels, providing insights into hierarchically organized data.

How Does Group by Rollup Work?

The syntax for Group by Rollup in Snowflake involves specifying columns for grouping within the query. 

 

Example Dataset:

Let's consider a hypothetical dataset containing sales information with columns: Region, Product Category, and Sales Amount.

Region Product Category Sales Amount
North Electronics $500
South Fashion $700
East Electronics $300
North Fashion $600
South Electronics $400
East Fashion $550

SQL Query Using Group by Rollup:

 

sqlCopy code


SELECT
    Region,
    Product_Category,
    SUM(Sales_Amount) AS Total_Sales
FROM
    Sales_Data
GROUP BY ROLLUP (Region, Product_Category);


Resultant Output:

Region Product Category Total Sales
North Electronics $500
North Fashion $600
North NULL $1,100
South Electronics $400
South Fashion $700
South NULL $1,100
East Electronics $300
East Fashion $550
East NULL $850
NULL Electronics $1,200
NULL Fashion $1,850
NULL NULL $3,050

This output showcases the aggregated sales figures obtained using Group by Rollup in Snowflake. It provides totals for each region, product category, and overall grand totals. The NULL rows represent subtotal rows at different hierarchical levels, aiding in comprehensive data analysis across multiple dimensions.