SQLite’s RANK() function is a window function that assigns a ranking value to each row within a result set based on a specified order. The RANK() function is useful in scenarios where you need to assign a rank or position to each row based on a particular attribute, such as a sales amount or customer rating.


The syntax for using the RANK() function in SQLite is as follows:

RANK() OVER (ORDER BY column_name [ASC|DESC])

The RANK() function is used in conjunction with the OVER clause, which defines the window over which the ranking is performed. In the OVER clause, you can specify the order in which the ranking is calculated by providing the name of the column by which you want to rank the data. You can also specify whether you want to rank the data in ascending or descending order by including the ASC or DESC keyword after the column name.


Here’s an example that demonstrates how to use the RANK() function in SQLite:

customer_name, order_amount, 
RANK() OVER (ORDER BY order_amount DESC) as rank
FROM orders;

In this example, we are selecting the customer_name, order_amount, and a rank column from the orders table. We are using the RANK() function to assign a ranking value to each row based on the order_amount column, with the highest order_amount values being ranked first. The resulting output will include the customer name, order amount, and the assigned ranking value for each row.

Overall, the SQLite RANK() function is a powerful tool for assigning rankings to data sets in a flexible and efficient manner. It can be used in a wide range of scenarios, such as identifying top-performing customers or products, or in academic contexts for grading student performance.