| name | stored-procedures |
| description | Implement stored procedures and functions for database logic. Use when creating reusable database routines, complex queries, or server-side calculations.
|
Stored Procedures & Functions
Table of Contents
Overview
Implement stored procedures, functions, and triggers for business logic, data validation, and performance optimization. Covers procedure design, error handling, and performance considerations.
When to Use
- Business logic encapsulation
- Complex multi-step operations
- Data validation and constraints
- Audit trail maintenance
- Performance optimization
- Code reusability across applications
- Trigger-based automation
Quick Start
PostgreSQL - Scalar Function:
CREATE OR REPLACE FUNCTION calculate_order_total(
p_subtotal DECIMAL,
p_tax_rate DECIMAL,
p_shipping DECIMAL
)
RETURNS DECIMAL AS $$
BEGIN
RETURN ROUND((p_subtotal * (1 + p_tax_rate) + p_shipping)::NUMERIC, 2);
END;
$$ LANGUAGE plpgsql IMMUTABLE;
SELECT id, subtotal, calculate_order_total(subtotal, 0.08, 10) as total
FROM orders;
SELECT * FROM orders
WHERE calculate_order_total(subtotal, 0.08, 10) > 100;
Reference Guides
Detailed implementations in the references/ directory:
Best Practices
✅ DO
- Follow established patterns and conventions
- Write clean, maintainable code
- Add appropriate documentation
- Test thoroughly before deploying
❌ DON'T
- Skip testing or validation
- Ignore error handling
- Hard-code configuration values