How to design the hot-selling product table structure of the mall in MySQL?

How to design the hot-selling product table structure of the mall in MySQL?

In a mall system, hot-selling products are usually one of the important factors that attract users' attention and increase sales. When designing a MySQL database, a reasonable hot-selling product table structure is crucial. This article will introduce how to design a MySQL table structure suitable for hot-selling products in the mall, and provide specific code examples.

1. Product table (products)
   First, we need to create a product table to store information about all products. The table should contain the following fields:

• id: Product ID, primary key, used to uniquely identify each product.
• name: product name, used to display the product name.
• price: Product price, used to display product prices.
• description: Product description, used to display product details.
• category_id: Product category ID, used to associate the product with its category.

The following is an example of SQL code to create a product table:

CREATE TABLE `products` (
  `id` INT(11) NOT NULL AUTO_INCREMENT,
  `name` VARCHAR(255) NOT NULL,
  `price` DECIMAL(10, 2) NOT NULL,
  `description` TEXT NOT NULL,
  `category_id` INT(11) NOT NULL,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

2. Sales record table (sales_records)
   Next, we need to create a sales record table, using To record the sales of each product. The table should contain the following fields:

• id: Sales record ID, primary key, used to uniquely identify each sales record.
• product_id: Product ID, foreign key, used to associate the product of this sales record.
• quantity: Sales quantity, used to record the sales quantity of this product.
• date: Sales date, used to record the date when the sale occurred.

The following is an example of SQL code to create a sales record table:

CREATE TABLE `sales_records` (
  `id` INT(11) NOT NULL AUTO_INCREMENT,
  `product_id` INT(11) NOT NULL,
  `quantity` INT(11) NOT NULL,
  `date` DATE NOT NULL,
  PRIMARY KEY (`id`),
  FOREIGN KEY (`product_id`) REFERENCES `products`(`id`) ON DELETE CASCADE
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

3. Hot-selling product table (hot_products)
   Finally, we need to create a hot-selling product table , used to store information about hot-selling products. The table should contain the following fields:

• id: hot-selling product ID, primary key, used to uniquely identify each hot-selling product.
• product_id: Product ID, foreign key, used to associate products with this hot-selling product.
• sales_quantity: Sales quantity, used to record the sales quantity of this hot-selling product.

The following is a SQL code example to create a hot-selling product table:

CREATE TABLE `hot_products` (
  `id` INT(11) NOT NULL AUTO_INCREMENT,
  `product_id` INT(11) NOT NULL,
  `sales_quantity` INT(11) NOT NULL,
  PRIMARY KEY (`id`),
  FOREIGN KEY (`product_id`) REFERENCES `products`(`id`) ON DELETE CASCADE
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

Through the above table structure design, we can easily record the sales of each product and display the hot-selling product table. Find information about hot-selling products in the best-selling products table. We can sort the best-selling products based on sales quantity and display them to users.

In order to better use the above table structure, we can also create triggers or scheduled tasks to automatically update the sales quantity field in the hot-selling product table. When a new sales record is generated, the trigger or scheduled task will automatically update the sales quantity field to the corresponding value to ensure that the data in the hot-selling product table is always up to date.

In actual development, we can further improve and optimize the above table structure according to business needs. For example, we can add an inventory field to the product table to record the inventory quantity of the product, and add a sales price field to the sales record table to record the price of each sale. This depends on the specific business requirements and system design.

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