Database Indexing Strategies
Improve your database performance with proper indexing techniques and strategies.
# Database Indexing Strategies
Database indexes are crucial for query performance. Understanding when and how to use them can dramatically improve your application's speed.
## What Are Indexes?
An index is a data structure that improves the speed of data retrieval operations on a database table.
## Types of Indexes
1. **Primary Index**: Automatically created on primary key
2. **Unique Index**: Ensures column uniqueness
3. **Composite Index**: Index on multiple columns
4. **Full-Text Index**: For text search operations
## Creating Indexes
```sql
-- Single column index
CREATE INDEX idx_users_email ON users(email);
-- Composite index
CREATE INDEX idx_users_name ON users(last_name, first_name);
-- Unique index
CREATE UNIQUE INDEX idx_users_username ON users(username);
```
## When to Use Indexes
- Columns frequently used in WHERE clauses
- Columns used in JOIN operations
- Columns used in ORDER BY clauses
- Foreign key columns
## When NOT to Use Indexes
- Small tables
- Columns with high write frequency
- Columns with low cardinality
Remember: indexes speed up reads but slow down writes. Balance is key.
You Might Also Like
Node.js Performance Optimization
Speed up your Node.js applications with proven performance optimization techniques.
Read more →
SQL Query Optimization Techniques
Write faster SQL queries with indexing, query planning, and optimization strategies.
Read more →
GraphQL vs REST: Which to Choose?
Compare GraphQL and REST APIs to make informed architectural decisions.
Read more →