MySQL — Group By
Basic GROUP BY
SELECT category, COUNT(*) as count
FROM products
GROUP BY category;
GROUP BY with Aggregate Functions
SELECT category,
COUNT(*) as count,
AVG(price) as avg_price,
MIN(price) as min_price,
MAX(price) as max_price
FROM products
GROUP BY category;
GROUP BY Multiple Columns
SELECT category, brand, COUNT(*) as count
FROM products
GROUP BY category, brand;
GROUP BY Examples
-- Users per country
SELECT country, COUNT(*) as user_count
FROM users
GROUP BY country;
-- Average age by gender
SELECT gender, AVG(age) as avg_age
FROM users
GROUP BY gender;
-- Total sales by month
SELECT
MONTH(order_date) as month,
SUM(total) as total_sales
FROM orders
GROUP BY MONTH(order_date);
-- Products per category with total stock
SELECT
category,
COUNT(*) as product_count,
SUM(stock) as total_stock
FROM products
GROUP BY category;
Mini Practice
Write MySQL code that:
- Groups by single column
- Uses aggregate functions
- Groups by multiple columns
- Groups with date functions
Up Next
Next: Learn about Having clause.
Related Topics
Frequently Asked Questions about Group By
What is Group By in MySQL?
Group By is a fundamental concept in MySQL. This lesson explains it step by step with clear examples, making it easy for beginners to understand.
How do I learn Group By?
Start by reading the explanation above, then try the code examples. Practice by modifying the examples and experimenting with different values. Hands-on practice is the best way to learn Group By.
Why is Group By important in MySQL?
Group By is essential for MySQL development. Understanding this concept will help you write better code and solve real-world problems more effectively.