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Introduction
In this chapter, we will focus on aggregate functions in SQL. Aggregate functions perform calculations on a set of values and return a single value. They are commonly used with the GROUP BY clause to summarize data. This chapter will cover the definition, types, syntax, and provide examples to help you understand how to use aggregate functions effectively.
What are Aggregate Functions?
Aggregate functions perform calculations on multiple values and return a single result. They are used to perform operations such as counting rows, calculating sums, averages, minimum and maximum values, and more.
Types of Aggregate Functions
- COUNT(): Returns the number of rows that match a specified condition.
- SUM(): Returns the total sum of a numeric column.
- AVG(): Returns the average value of a numeric column.
- MIN(): Returns the minimum value in a column.
- MAX(): Returns the maximum value in a column.
Syntax for Aggregate Functions
Basic Syntax
SELECT AGGREGATE_FUNCTION(column_name)
FROM table_name
WHERE condition;
Using GROUP BY
SELECT column_name, AGGREGATE_FUNCTION(column_name)
FROM table_name
WHERE condition
GROUP BY column_name;
Step-by-Step Example
Sample Table
First, let's create a sample table named employees.
CREATE TABLE employees (
id INT PRIMARY KEY AUTO_INCREMENT,
first_name VARCHAR(50),
last_name VARCHAR(50),
department VARCHAR(50),
salary DECIMAL(10, 2)
);
Inserting Sample Data
INSERT INTO employees (first_name, last_name, department, salary)
VALUES
('Ramesh', 'Kumar', 'HR', 50000),
('Sita', 'Patel', 'Finance', 60000),
('Arjun', 'Singh', 'HR', 55000),
('Priya', 'Sharma', 'Finance', 62000),
('Ravi', 'Verma', 'IT', 50000);
COUNT()
The COUNT() function returns the number of rows that match a specified condition.
Example
SELECT COUNT(*) AS total_employees
FROM employees;
Output
| total_employees |
|---|
| 5 |
Using COUNT() with GROUP BY
SELECT department, COUNT(*) AS total_employees
FROM employees
GROUP BY department;
Output
| department | total_employees |
|---|---|
| Finance | 2 |
| HR | 2 |
| IT | 1 |
SUM()
The SUM() function returns the total sum of a numeric column.
Example
SELECT SUM(salary) AS total_salary
FROM employees;
Output
| total_salary |
|---|
| 277000 |
Using SUM() with GROUP BY
SELECT department, SUM(salary) AS total_salary
FROM employees
GROUP BY department;
Output
| department | total_salary |
|---|---|
| Finance | 122000 |
| HR | 105000 |
| IT | 50000 |
AVG()
The AVG() function returns the average value of a numeric column.
Example
SELECT AVG(salary) AS average_salary
FROM employees;
Output
| average_salary |
|---|
| 55400.00 |
Using AVG() with GROUP BY
SELECT department, AVG(salary) AS average_salary
FROM employees
GROUP BY department;
Output
| department | average_salary |
|---|---|
| Finance | 61000.00 |
| HR | 52500.00 |
| IT | 50000.00 |
MIN()
The MIN() function returns the minimum value in a column.
Example
SELECT MIN(salary) AS minimum_salary
FROM employees;
Output
| minimum_salary |
|---|
| 50000 |
Using MIN() with GROUP BY
SELECT department, MIN(salary) AS minimum_salary
FROM employees
GROUP BY department;
Output
| department | minimum_salary |
|---|---|
| Finance | 60000 |
| HR | 50000 |
| IT | 50000 |
MAX()
The MAX() function returns the maximum value in a column.
Example
SELECT MAX(salary) AS maximum_salary
FROM employees;
Output
| maximum_salary |
|---|
| 62000 |
Using MAX() with GROUP BY
SELECT department, MAX(salary) AS maximum_salary
FROM employees
GROUP BY department;
Output
| department | maximum_salary |
|---|---|
| Finance | 62000 |
| HR | 55000 |
| IT | 50000 |
Practical Examples
Example 1: Total Salary by Department
To find the total salary for each department:
SELECT department, SUM(salary) AS total_salary
FROM employees
GROUP BY department;
Example 2: Average Salary by Department
To find the average salary for each department:
SELECT department, AVG(salary) AS average_salary
FROM employees
GROUP BY department;
Example 3: Highest Salary in Each Department
To find the highest salary in each department:
SELECT department, MAX(salary) AS highest_salary
FROM employees
GROUP BY department;
Conclusion
Aggregate functions are powerful tools for summarizing data in SQL. This chapter covered the different types of aggregate functions, their syntax, and provided examples to illustrate their use. Understanding how to use aggregate functions effectively will greatly enhance your ability to analyze and manipulate data in a relational database.
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