Online Shopping Systemвђ“database Design ~ Bhupal Blogs Online

A robust online shopping system is built upon five foundational pillars:

Apply indexes to SKU , UserEmail , and OrderDate for fast lookups.

The primary goal of an e-commerce database is to manage the lifecycle of a product from listing to delivery. This design prioritizes a Normalized Relational Model (3NF) to prevent data redundancy and ensure transactional consistency during high-traffic events like flash sales or holiday shopping. II. Core System Entities A robust online shopping system is built upon

Use a DeletedAt timestamp for products instead of removing rows to maintain order history. V. Workflow Logic Selection: User queries the Products table via Categories .

AddressID , UserID (FK), Street , City , ZipCode , Type (Billing/Shipping). 2. Inventory & Catalog Categories: CategoryID , Name , Description . Workflow Logic Selection: User queries the Products table

Should I include like coupon codes or reviews? SQL comparison for this system?

Records finalized transactions and historical pricing. Inventory & Catalog Categories: CategoryID

OrderItemID , OrderID (FK), ProductID (FK), Quantity , PriceAtPurchase .