Aggregate Functions in MySQL

Aggregate functions are used in MySQL to perform a calculation on one or more columns of a table and return a single value. In this tutorial, we'll cover some of the common aggregate functions in MySQL.

Syntax

The syntax for using an aggregate function in MySQL is as follows:

SELECT function(column_name)
FROM table_name
WHERE condition
GROUP BY column_name
HAVING condition

Some common aggregate functions in MySQL include:

• COUNT()
• SUM()
• AVG()
• MIN()
• MAX()

Example

Let's say we have a table called "orders" that contains information about customer orders. Here's an example query that uses the COUNT() function to count the total number of orders:

SELECT COUNT(*)
FROM orders

This query will return a single value that represents the total number of rows in the "orders" table.

Output

When we run the example code above, the output will be a single value representing the total number of rows in the "orders" table.

Explanation

In the example above, we used the COUNT() function to count the total number of rows in the "orders" table. The "*" wildcard symbol is used to count all rows.

Use

Aggregate functions are useful for performing calculations on data in MySQL. They can be used to calculate totals, averages, maximums, minimums, and more. Aggregates are often used in conjunction with the GROUP BY clause to group data and perform calculations on each group separately.

Important Points

• Aggregate functions in MySQL perform calculations on one or more columns of a table and return a single value.
• Common aggregate functions in MySQL include COUNT(), SUM(), AVG(), MIN(), and MAX().
• Aggregate functions can be used in conjunction with the GROUP BY clause to group data and perform calculations on each group separately.

Summary

In this tutorial, we covered the basics of aggregate functions in MySQL, including the syntax, example, output, explanation, use, and important points. By understanding how to use aggregate functions, you can perform powerful calculations on your MySQL data and extract valuable insights from your database.