E-Commerce Backend — PostgresVerse Project
E-Commerce Backend — PostgresVerse Project: free step-by-step lesson with examples, common mistakes, and interview tips — part of PostgreSQL Tutorial on Toolliyo Academy.
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PostgreSQL Tutorial · Lesson 94 of 100
E-Commerce Backend
SQL ✓ → Advanced
Advanced · 2 — Production · ~10 min · PostgreSQL — Real-World Projects
What is this?
E-commerce backend schema covers products, inventory, carts, orders, payments — transactional checkout with row locks on stock and idempotent payment keys.
Why should you care?
PostgresVerse Flipkart-style shop must never oversell GPU stock during flash sale.
See it live — copy this example
Run in pgAdmin or psql.
CREATE TABLE products (
product_id bigserial PRIMARY KEY,
sku text UNIQUE,
stock_qty int NOT NULL CHECK (stock_qty >= 0)
);
CREATE TABLE carts (
cart_id uuid PRIMARY KEY,
customer_id bigint,
updated_at timestamptz DEFAULT now()
);
CREATE TABLE cart_items (
cart_id uuid REFERENCES carts(cart_id),
product_id bigint REFERENCES products(product_id),
qty int CHECK (qty > 0),
PRIMARY KEY (cart_id, product_id)
);
What happened?
- Normalized cart model.
- stock_qty CHECK prevents negative inventory at DB.
- Checkout transaction locks product row FOR UPDATE before decrement.
Practice next
- Create products with low stock_qty test SKU.
- Add cart items in transaction.
- Simulate two checkouts; second waits or fails on stock.
- Add order_status enum and orders table from cart merge.
- Index products(sku) for barcode scan API.
Remember
Cart normalized; checkout is one transaction. FOR UPDATE on stock hot rows. SKU unique across catalog.
PostgresVerse flash sale
100 concurrent buy clicks on 10 GPUs; locking prevents oversell.
Outcome: Angry customers avoided; support load manageable.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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