SUM() Function in MySQL (original) (raw)

Last Updated : 27 Mar, 2026

The SUM() function in MySQL is an aggregate function used to calculate the total sum of values in a numeric column. It helps generate overall totals for better data analysis.

• Calculates the sum of values in a numeric column.
• Accepts a single expression and returns one result.
• Ignores NULL values and supports WHERE and GROUP BY.

**Syntax:

SUM(expression)

**expression: A specified expression which can either be a field or a given formula.

Working with the SUM() Function

This section demonstrates how the MySQL SUM() function works in different scenarios. First, we will create a demo table on which the SUM() function will be applied:

sales Table

Example 1: Finding Total Quantity Sold

This example calculates the total quantity of all products present in the table. It shows the basic usage of the SUM() function.

**Query:

SELECT SUM(quantity) AS total_quantity FROM sales;

**Output:

• Adds all quantity values: 10 + 5 + 7 + 3 + 2.
• Returns a single aggregated result (27).

Example 2: SUM() with WHERE Clause

This example calculates the total quantity for a specific product using a condition. It filters rows before applying SUM().

**Query:

SELECT SUM(quantity) AS total_laptop_quantity FROM sales WHERE product_name = 'Laptop';

**Output:

• Filters rows where product_name = 'Laptop' before summing.
• Adds only selected values (10 + 7) to return 17.

Example 3: SUM() with GROUP BY Clause

This example calculates the total quantity for each product separately. It groups rows and applies SUM() on each group.

**Query:

SELECT product_name, SUM(quantity) AS total_quantity FROM sales GROUP BY product_name;

**Output:

• Groups rows by product_name before applying SUM().
• Calculates separate totals for each product group.

Example 4: SUM() with HAVING Clause

This example filters grouped results based on total quantity. It is used after GROUP BY to apply conditions on aggregated values.

**Query:

SELECT product_name, SUM(quantity) AS total_quantity FROM sales GROUP BY product_name HAVING SUM(quantity) > 10;

**Output:

• Applies condition after grouping using HAVING clause.
• Returns only groups where total quantity is greater than 10.

Example 5: SUM() with DISTINCT Clause

This example calculates the sum of only unique values in the column. Duplicate values are ignored before summing.

**Query:

SELECT SUM(DISTINCT quantity) AS total_distinct_quantity FROM sales;

**Output:

• Considers only distinct quantity values before summing.
• Adds distinct values (10, 5, 7, 3, 2) to return 27.