Database tables for Order system, Customers can order more than one products

Designing a database table for an order system requires careful consideration of the data and relationships involved. Here’s a basic outline for creating a table that allows customers to order multiple products:

Table: orders

ColumnData TypeDescription
order_idINT (Primary Key)Unique identifier for each order
customer_idINTForeign key referencing the customers table
order_dateDATEDate when the order was placed
total_amountDECIMAL(10, 2)Total amount for the order

Table: order_items

ColumnData TypeDescription
item_idINT (Primary Key)Unique identifier for each order item
order_idINTForeign key referencing the orders table
product_idINTForeign key referencing the products table
quantityINTQuantity of the product ordered
price_per_unitDECIMAL(10, 2)Price per unit of the product
total_priceDECIMAL(10, 2)Total price for the specific order item

Table: products

ColumnData TypeDescription
product_idINT (Primary Key)Unique identifier for each product
product_nameVARCHAR(100)Name of the product
descriptionTEXTDescription of the product
unit_priceDECIMAL(10, 2)Price per unit of the product

Table: customers

ColumnData TypeDescription
customer_idINT (Primary Key)Unique identifier for each customer
customer_nameVARCHAR(100)Name of the customer
emailVARCHAR(100)Email address of the customer
addressTEXTAddress of the customer

In this schema, the “orders” table keeps track of each order placed by a customer. The “order_items” table maintains the details of each product ordered in a particular order, such as the quantity and total price. The “products” table stores information about the available products, including their names and prices. Finally, the “customers” table holds information about the customers who place the orders.

By creating this database table structure, you’ll be able to efficiently manage orders and products for your order system, allowing customers to order multiple products in a single order. Remember to establish appropriate relationships between the tables using foreign keys to ensure data integrity and consistency.