How to use Go language to write the order management module in the door-to-door cooking system?

How to use Go language to write the order management module in the door-to-door cooking system?

1. Introduction
Door-to-door cooking service has become an increasingly popular service and business model in modern life. In such services, order management is a very important module. In this article, we will discuss how to write an efficient and reliable order management module using Go language. We will start with requirements analysis and gradually implement each function, with specific code examples.

2. Demand analysis
In the door-to-door cooking system, the order management module needs to meet the following main functions:

1. Users can place orders and select dishes;
2. The chef can accept orders, prepare and deliver meals;
3. The administrator can check the order status and handle it accordingly.

3. Technical Design
In the technical design stage, we need to consider the following important aspects:

1. Database design: Order information needs to be stored persistently. We can choose to use a relational database such as MySQL or a non-relational database such as MongoDB;
2. API design: We need to design a concise and clear API interface for the front-end and other modules to call;
3. Concurrent processing: The order management module needs to handle a large number of concurrent requests, and we need to consider concurrency security and performance optimization.

4. Specific implementation

1. Database design
   The main data entities involved in the order management module are: users, dishes and orders. We can use the relational database MySQL to store this information. The following is the design table structure of the database:

User table:

CREATE TABLE `user` (
  `id` INT(11) NOT NULL AUTO_INCREMENT,
  `name` VARCHAR(50) NOT NULL,
  `phone` VARCHAR(50) NOT NULL,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;

Dish table:

CREATE TABLE `dish` (
  `id` INT(11) NOT NULL AUTO_INCREMENT,
  `name` VARCHAR(50) NOT NULL,
  `price` DECIMAL(10,2) NOT NULL,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;

Order table:

CREATE TABLE `order` (
  `id` INT(11) NOT NULL AUTO_INCREMENT,
  `user_id` INT(11) NOT NULL,
  `dish_id` INT(11) NOT NULL,
  `status` INT(11) DEFAULT 0,
  PRIMARY KEY (`id`),
  FOREIGN KEY (`user_id`) REFERENCES `user`(`id`),
  FOREIGN KEY (`dish_id`) REFERENCES `dish`(`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;

2. API design
   In the order management module, we can design the following API interfaces to meet business needs:

• Order interface:

  func PlaceOrder(userId int, dishId int) error {
  // 根据userId和dishId创建订单，并保存到数据库
  // ...
  return nil
  }

• Accept order interface:

  func AcceptOrder(orderId int) error {
  // 根据orderId修改订单状态为已接受
  // ...
  return nil
  }

• Complete order interface:

  func CompleteOrder(orderId int) error {
  // 根据orderId修改订单状态为已完成
  // ...
  return nil
  }

3. Concurrent processing
   In order to ensure We can implement the concurrency security of the order management module using the concurrency control mechanism provided in the Go language. The following is a sample code using a mutex lock:

var mutex sync.Mutex
var orders = make(map[int]bool)

func AcceptOrder(orderId int) error {
  mutex.Lock()
  defer mutex.Unlock()

  if orders[orderId] {
    return errors.New("order already accepted")
  }

  // 根据orderId修改订单状态为已接受
  // ...

  orders[orderId] = true
  return nil
}

In this way, we have implemented a concurrently safe order acceptance function.

5. Summary
Through the discussion in this article, we have learned how to use Go language to write the order management module in the door-to-door cooking system. We started with demand analysis and designed the database table structure, API interface and concurrency processing plan, and attached specific code examples. The order management module is a very important part of the door-to-door cooking system. The reasonable and efficient implementation of this module will have a positive impact on the performance and user experience of the entire system. I hope this article can be helpful to readers in their development work in actual projects.

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