Relational Database Schema for an Online Shopping System

The advent of online shopping has revolutionized the traditional shopping experience, offering convenience to consumers worldwide. However, have you ever pondered the intricate processes that unfold once you confirm your purchase? Beyond the seamless transaction lies a sophisticated infrastructure comprising databases, servers, and applications working in unison.

Provide the relational database schema for an online shopping system where customers place orders. An order may consist of multiple products, with products categorized for easy organization and search. The Customer table identifies the customers placing orders with their personal information, while the Category table specifies the product categories and description. The Product table lists the available items for purchase and their prices, each linked to a category through the Category ID. Orders, recorded in the Order table with date of order and the total amount, and they are associated with customers through the Customer ID. The Order Detail table captures the intricate relationship between orders and products, detailing the products included in an order along with their respective quantities.

  Relational Database Schema for an Online Shopping System The relational database schema for an online shopping system consists of several tables that interact with each other to manage customers, products, orders, and the details of each order. Below is a description of each table along with its attributes and relationships. 1. Customer Table This table stores information about each customer who places an order. Column Name Data Type Constraints CustomerID INT PRIMARY KEY, AUTO_INCREMENT FirstName VARCHAR(50) NOT NULL LastName VARCHAR(50) NOT NULL Email VARCHAR(100) NOT NULL, UNIQUE Phone VARCHAR(15) Address VARCHAR(255) NOT NULL City VARCHAR(50) NOT NULL State VARCHAR(50) NOT NULL ZipCode VARCHAR(10) NOT NULL 2. Category Table This table categorizes products for easier organization and searchability. Column Name Data Type Constraints CategoryID INT PRIMARY KEY, AUTO_INCREMENT CategoryName VARCHAR(50) NOT NULL, UNIQUE Description TEXT 3. Product Table This table lists all products available for purchase. Column Name Data Type Constraints ProductID INT PRIMARY KEY, AUTO_INCREMENT ProductName VARCHAR(100) NOT NULL Price DECIMAL(10,2) NOT NULL StockQuantity INT NOT NULL CategoryID INT FOREIGN KEY REFERENCES Category(CategoryID) 4. Order Table This table records each order placed by customers. Column Name Data Type Constraints OrderID INT PRIMARY KEY, AUTO_INCREMENT CustomerID INT FOREIGN KEY REFERENCES Customer(CustomerID) OrderDate DATETIME NOT NULL TotalAmount DECIMAL(10,2) NOT NULL 5. Order Detail Table This table captures the relationship between orders and products, detailing which products are included in each order along with their quantities. Column Name Data Type Constraints OrderDetailID INT PRIMARY KEY, AUTO_INCREMENT OrderID INT FOREIGN KEY REFERENCES Order(OrderID) ProductID INT FOREIGN KEY REFERENCES Product(ProductID) Quantity INT NOT NULL PriceAtPurchase DECIMAL(10,2) NOT NULL Relationships Between Tables 1. Customer to Order: - A customer can place multiple orders (One-to-Many). - Customer.CustomerID → Order.CustomerID. 2. Category to Product: - A category can contain multiple products (One-to-Many). - Category.CategoryID → Product.CategoryID. 3. Order to Order Detail: - An order can have multiple products (One-to-Many). - Order.OrderID → Order Detail.OrderID. 4. Product to Order Detail: - A product can appear in multiple orders (One-to-Many). - Product.ProductID → Order Detail.ProductID. Summary This relational database schema effectively organizes the components of an online shopping system, allowing for efficient management of customers, products, orders, and their details. By establishing clear relationships between the tables, it facilitates data integrity and supports complex queries necessary for the functioning of an online shopping platform. This structure ensures that the system can handle multiple transactions, maintain product organization, and provide a seamless experience for customers.

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