When and How to Index
Learn best practices for deciding which columns to index and how to avoid over-indexing.
Smart Indexing Starts Here
Indexes are powerful tools for speeding up PostgreSQL queries. But they aren't magic, and blindly adding them can actually hurt performance!
In this lesson, we'll learn the art of smart indexing: when to create indexes, what types to use, and how to avoid common pitfalls like over-indexing.
Indexing Your WHERE Clause
The most common reason to create an index is to speed up searches in your WHERE clauses. If you frequently filter data based on a specific column, an index on that column can dramatically reduce query time.
Think of it like an alphabetical index in a book. Instead of scanning every page, you go straight to the relevant section.
CREATE TABLE users (
id SERIAL PRIMARY KEY,
email VARCHAR(255) UNIQUE,
name VARCHAR(255)
);
INSERT INTO users (email, name) VALUES
('alice@example.com', 'Alice'),
('bob@example.com', 'Bob'),
('charlie@example.com', 'Charlie');
-- To make this query fast, index 'email'
-- CREATE INDEX idx_users_email ON users (email);
SELECT * FROM users WHERE email = 'alice@example.com';All lessons in this course
- B-Tree Indexes Fundamentals
- Creating and Using Indexes
- When and How to Index
- Composite and Covering Indexes