Indexing Best Practices
Master database performance optimization through effective indexing strategies.
Database indexes are crucial for optimizing query performance. Like a book's index, database indexes help quickly locate data without scanning entire tables. Understanding how to create and maintain effective indexes is essential for building high-performance applications.
Basic Indexing
Start with simple indexes for frequently queried columns:
-- Create a basic index
CREATE INDEX idx_users_email
ON users(email);
-- Create a unique index
CREATE UNIQUE INDEX idx_users_username
ON users(username);
When to Use
- •Columns used in WHERE clauses
- •Foreign key relationships
- •Unique constraints
Composite Indexes
Create multi-column indexes for combined query conditions:
-- Create a composite index
CREATE INDEX idx_orders_customer_date
ON orders(customer_id, order_date);
-- Query using the composite index
SELECT * FROM orders
WHERE customer_id = 100
AND order_date >= '2024-01-01';
Benefits
- •Optimizes multi-column queries
- •Reduces index maintenance
- •Improves query selectivity
Column Order
- •Most selective columns first
- •Consider query patterns
- •Match WHERE clause order
Covering Indexes
Include additional columns to fully satisfy queries from the index:
-- Create a covering index
CREATE INDEX idx_products_category_price
ON products(category_id, price)
INCLUDE (name, description);
-- Query fully covered by the index
SELECT name, description, price
FROM products
WHERE category_id = 5
AND price > 100;
Key Considerations
- •Balance coverage vs. size
- •Include frequently selected columns
- •Consider maintenance overhead
Analyzing Index Usage
Monitor and analyze index performance:
-- Check index usage
EXPLAIN ANALYZE
SELECT * FROM orders
WHERE customer_id = 100;
-- Get index statistics
SELECT
schemaname,
tablename,
indexname,
idx_scan,
idx_tup_read,
idx_tup_fetch
FROM pg_stat_user_indexes;
Index Maintenance
Regular maintenance ensures optimal index performance:
-- Rebuild index
ALTER INDEX idx_users_email REBUILD;
-- Reorganize index
ALTER INDEX idx_users_email REORGANIZE;
-- Update statistics
ANALYZE users;
Maintenance Tasks
- •Regular rebuilding
- •Statistics updates
- •Fragmentation monitoring
Warning Signs
- •High fragmentation
- •Outdated statistics
- •Degrading performance
Practice Examples
Try these examples to practice index creation and analysis:
Creating an Optimal Index
CREATE INDEX idx_orders_customer_status ON orders(customer_id, status) INCLUDE (order_date, total_amount);
Index for Range Queries
CREATE INDEX idx_products_price ON products(category_id, price) WHERE price > 0;
Analyzing Index Performance
EXPLAIN ANALYZE SELECT * FROM orders WHERE customer_id = 100 AND status = 'pending';
Next Steps
Continue improving your database optimization skills: