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Stored Procedures & Functions Table of Contents Overview When to Use Quick Start Reference Guides Best Practices 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 function returning single value 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; -- Use in queries SELECT id, subtotal, calculate_order_total(subtotal, 0.08, 10) as total FROM orders; -- Or in application code SELECT * FROM orders WHERE calculate_order_total(subtotal, 0.08, 10) > 100; Reference Guides Detailed implementations in the references/ directory: Guide Contents Simple Functions Simple Functions Stored Procedures Stored Procedures Simple Procedures Simple Procedures Complex Procedures with Error Handling Complex Procedures with Error Handling PostgreSQL Triggers PostgreSQL Triggers MySQL Triggers MySQL Triggers 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 1d:[
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