How to implement multi-table joint query using Node.js

Node.js is a very popular back-end development language and platform and is widely welcomed by developers. In practical applications, joint queries of multiple tables are often required. Next, we will discuss how to use Node.js to implement multi-table joint queries.

First, we need to use the ORM framework provided by Node.js to manage our data. ORM is the abbreviation of Object Relational Mapping. It can map tables in the database into objects in the programming language, allowing developers to operate the database more conveniently. Sequelize is one of the most commonly used ORM frameworks in Node.js.

When querying multiple tables, we can use the include option provided by Sequelize. The include option can include other tables and join them in the main query.

The following is a simple example that demonstrates how to perform a multi-table join query in Node.js:

const Sequelize = require('sequelize'); const sequelize = new Sequelize('database', 'username', 'password', { host: 'localhost', dialect: 'mysql', }); const Order = sequelize.define('Order', { id: { type: Sequelize.INTEGER, primaryKey: true, autoIncrement: true, }, name: Sequelize.STRING, }); const Product = sequelize.define('Product', { id: { type: Sequelize.INTEGER, primaryKey: true, autoIncrement: true, }, title: Sequelize.STRING, price: Sequelize.FLOAT, }); const OrderItem = sequelize.define('OrderItem', { id: { type: Sequelize.INTEGER, primaryKey: true, autoIncrement: true, }, }); Order.hasMany(OrderItem); Product.hasMany(OrderItem); OrderItem.belongsTo(Order); OrderItem.belongsTo(Product); // 查询订单并包含相关产品信息 Order.findAll({ include: [{ model: Product }], }).then((orders) => { console.log(JSON.stringify(orders)); });

In this example, we define three tables, Order, Product and OrderItem. There is a many-to-many relationship between Order and Product, which is implemented through the OrderItem table. We can use the include option to join the Order and Product tables and query all order information and related product information.

When we run the above code, sequelize will execute the following SQL statement to query the order and corresponding product information:

SELECT `Order`.*, `Product`.`id` AS `Products.id`, `Product`.`title` AS `Products.title`, `Product`.`price` AS `Products.price`, `ProductsOrderItem`.`id` AS `Products.OrderItem.id`, `ProductsOrderItem`.`OrderId` AS `Products.OrderItem.OrderId`, `ProductsOrderItem`.`ProductId` AS `Products.OrderItem.ProductId`, `ProductsOrderItem`.`createdAt` AS `Products.OrderItem.createdAt`, `ProductsOrderItem`.`updatedAt` AS `Products.OrderItem.updatedAt` FROM `Orders` AS `Order` LEFT OUTER JOIN (`OrderItems` AS `ProductsOrderItem` INNER JOIN `Products` AS `Product` ON `ProductsOrderItem`.`ProductId` = `Product`.`id`) ON `Order`.`id` = `ProductsOrderItem`.`OrderId`;

The above SQL statement returns a JSON array containing order and product information. .

In addition to including related tables, we can also use other options and methods provided by Sequelize to query specific data. For example, we can use the where option to query data with specified conditions:

Order.findAll({ include: [{ model: Product }], where: { name: 'John Doe', }, }).then((orders) => { console.log(JSON.stringify(orders)); });

In the above code, we query all orders with the name 'John Doe' and associate them with all related product information.

To summarize, multi-table join queries can be implemented through Sequelize in Node.js. Through the include option, we can easily query related information in the related table. In actual applications, you can use other options and methods provided by Sequelize as needed to complete more complex multi-table join queries.

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