Databases 2 min read

Three Powerful Ways to Perform Cumulative Queries in SQL

This article explains three techniques for performing cumulative queries in SQL—using a subquery, a Cartesian product with grouping, and a window function—detailing when each method is appropriate, especially for MySQL versions lacking native window support.

Laravel Tech Community
Laravel Tech Community
Laravel Tech Community
Three Powerful Ways to Perform Cumulative Queries in SQL

When you need to compute cumulative totals in a single SQL query, there are three common approaches.

1. Subquery (compatible with MySQL versions without window functions)

SELECT A.OrderDate,
       (SELECT SUM(B.Amount)
        FROM ADD_NUM B
        WHERE B.OrderDate <= A.OrderDate) AS Amount
FROM ADD_NUM A;

2. Cartesian product (cross join) with GROUP BY

SELECT A.OrderDate,
       SUM(B.Amount) AS Amount
FROM ADD_NUM A
CROSS JOIN ADD_NUM B
WHERE B.OrderDate <= A.OrderDate
GROUP BY A.OrderDate;

3. Window function (available in MySQL 8.0+)

SELECT OrderDate,
       SUM(Amount) OVER (ORDER BY OrderDate) AS Amount
FROM ADD_NUM;

Choose the method that matches your MySQL version and performance requirements: subqueries work everywhere, the Cartesian product can be useful for older versions, and window functions provide the most concise and efficient solution when supported.

SQLMySQLSubquerywindow functioncartesian joincumulative query
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