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PostgreSQL Deep Dive Part 5 - Mastering Constraints

Master PostgreSQL constraint implementation.

PostgreSQL Deep Dive Part 5 - Mastering Constraints
Database
Postgres
Development

Published At

12/27/2024

Reading Time

~ 2 min read

πŸ“š Raw Postgres Study Notes

Access complete, unfiltered study notes maintained on GitHub for easily maintaing Second Brain Dir

As we wrap up our journey through PostgreSQL's type system, let's tackle the critical aspects that transform a good database into a great one. Performance optimization isn't just about speedβ€”it's about building a robust, maintainable system that gracefully handles growth while maintaining data integrity.

The Art of Constraints: Beyond Basic Rules 🎯

Let's dive into how constraints can make your database not just faster, but smarter.

Check Constraints: Your First Line of Defence

sql
-- A simple example that evolves into something powerful
CREATE TABLE products (
    price NUMERIC CHECK (price > 0),
    discount_price NUMERIC,
    inventory_count INTEGER DEFAULT 0,
 
    -- Complex business rules as constraints
    CONSTRAINT valid_discount
        CHECK (discount_price IS NULL OR
               (discount_price > 0 AND discount_price < price)),
 
    CONSTRAINT valid_inventory
        CHECK (inventory_count >= 0),
 
    CONSTRAINT price_range
        CHECK (price < 1000000)
);
sql
-- A simple example that evolves into something powerful
CREATE TABLE products (
    price NUMERIC CHECK (price > 0),
    discount_price NUMERIC,
    inventory_count INTEGER DEFAULT 0,
 
    -- Complex business rules as constraints
    CONSTRAINT valid_discount
        CHECK (discount_price IS NULL OR
               (discount_price > 0 AND discount_price < price)),
 
    CONSTRAINT valid_inventory
        CHECK (inventory_count >= 0),
 
    CONSTRAINT price_range
        CHECK (price < 1000000)
);

Domain-Level Constraints vs. Table Constraints

When should you use which? Let's explore through a real-world example:

sql
-- Domain approach
CREATE DOMAIN price_amount AS NUMERIC
CONSTRAINT positive_price CHECK (VALUE > 0 AND VALUE < 1000000);
 
-- Table using domain
CREATE TABLE products_v2 (
    id SERIAL PRIMARY KEY,
    name TEXT NOT NULL,
    price price_amount,
    discount_price price_amount,
 
    -- Business logic remains at table level
    CONSTRAINT valid_discount
        CHECK (discount_price IS NULL OR discount_price < price)
);
 
-- The power of domains: reusability
CREATE TABLE order_items (
    order_id INTEGER,
    product_id INTEGER,
    unit_price price_amount,
    quantity INTEGER CHECK (quantity > 0)
);
sql
-- Domain approach
CREATE DOMAIN price_amount AS NUMERIC
CONSTRAINT positive_price CHECK (VALUE > 0 AND VALUE < 1000000);
 
-- Table using domain
CREATE TABLE products_v2 (
    id SERIAL PRIMARY KEY,
    name TEXT NOT NULL,
    price price_amount,
    discount_price price_amount,
 
    -- Business logic remains at table level
    CONSTRAINT valid_discount
        CHECK (discount_price IS NULL OR discount_price < price)
);
 
-- The power of domains: reusability
CREATE TABLE order_items (
    order_id INTEGER,
    product_id INTEGER,
    unit_price price_amount,
    quantity INTEGER CHECK (quantity > 0)
);

Remember: A well-designed database is not just about storing dataβ€”it's about embedding business logic, ensuring data integrity, and providing a foundation for scalable applications.

🐝

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Have a wonderful day.
Abhishek πŸ™

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