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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  • Outdated statistics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: