MySQL implements the sales statistics function of the ordering system

MySQL is a relational database management system commonly used to manage and store data, and is widely used in various software development. In the catering industry, the sales statistics function of the ordering system is extremely important, which can help restaurants understand sales in real time and conduct data analysis and business decisions. This article will introduce how to use MySQL to implement the sales statistics function of the ordering system and provide specific code examples.

1. Create a data table
In MySQL, we first need to create a data table to store relevant data of the ordering system. The following is a simple example:

1. Create a menu table

CREATE TABLEmenu(
idint( 11) NOT NULL AUTO_INCREMENT,
namevarchar(255) NOT NULL,
pricedecimal(10,2) NOT NULL,
PRIMARY KEY (id)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

2. Create order table

CREATE TABLEorders(
idint(11) NOT NULL AUTO_INCREMENT,
menu_idint(11) NOT NULL,
quantityint(11) NOT NULL ,
pricedecimal(10,2) NOT NULL,
order_datedatetime NOT NULL,
PRIMARY KEY (id)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

2. Insert sample data
For the convenience of demonstration, we can insert some sample data to simulate orders and sales statistics. Here are some example insert statements:

1. INSERT INTO DISH DATA

INSERT INTOmenu(name,price) VALUES
('Beef Noodles', 12.50),
('Hot and Sour Potato Shreds', 8.00),
('Kung Pao Chicken', 15.00);

2. INSERT INTO order data

INSERT INTOorders(menu_id,quantity,price,order_date) VALUES
(1, 2, 25.00, '2021-01-01 12:30:00'),
(2, 1, 8.00, '2021-01-01 12 :30:00'),
(3, 3, 45.00, '2021-01-01 18:00:00');

3. Statistical sales
With data tables and After sample data, we can use query statements to count sales. The following is an example:

SELECT SUM(price) AS total_sales
FROM orders;

This query statement will return a result named total_sales, which represents total sales.

4. Statistics of sales by dish
In addition to total sales, we can also count sales by dish. Here is an example:

SELECT menu.name, SUM(orders.quantity) AS total_quantity
FROM orders
INNER JOIN menu ON orders.menu_id = menu.id
GROUP BY menu. id;

This query statement will return the name of the dish and the corresponding sales quantity, which can be used to draw sales statistics charts.

5. Statistics of sales by date
In the ordering system, we usually also need to count sales by date in order to understand the sales situation in different time periods. The following is an example:

SELECT DATE(order_date) AS date, SUM(price) AS total_sales
FROM orders
GROUP BY DATE(order_date);

This query statement will The returned date and corresponding sales volume can be used to generate sales statistics reports.

Summary
This article introduces how to use MySQL to implement the sales statistics function of the ordering system, and provides specific code examples. By properly designing data tables and using appropriate query statements, we can understand sales in real time and conduct data analysis and business decisions. Of course, the actual sales statistics function of the ordering system may be more complex and needs to be developed and customized according to specific needs. I hope this article can be helpful to everyone when developing a food ordering system!

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