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Setting Up a Scalable Architecture Using NestJS and MongoDB

In the realm of web development, creating a scalable architecture is crucial for handling increasing amounts of traffic and data efficiently. NestJS, a progressive Node.js framework, combined with MongoDB, a powerful NoSQL database, provides a robust solution for building scalable applications. This article will guide you through the process of setting up a scalable architecture using NestJS and MongoDB, highlighting definitions, use cases, and actionable coding insights.

Understanding NestJS and MongoDB

What is NestJS?

NestJS is a framework built with TypeScript that allows developers to create efficient, reliable, and scalable server-side applications. It uses modern JavaScript features and incorporates design patterns like Dependency Injection and modular architecture, making it an excellent choice for building enterprise-level applications.

What is MongoDB?

MongoDB is a NoSQL database known for its flexibility and scalability. It stores data in JSON-like documents, which makes it easy to work with data structures that can evolve over time. This is particularly advantageous for applications that require fast iterations and frequent updates.

Why Choose NestJS and MongoDB?

When combined, NestJS and MongoDB provide several key benefits:

  • Scalability: Both technologies are designed to scale easily, accommodating growing data and user demands.
  • Performance: The asynchronous nature of Node.js and the schema-less design of MongoDB enhance performance.
  • Flexibility: Adapt to changing requirements without significant overhead.
  • Community Support: Both frameworks boast strong communities, offering a wealth of resources and libraries.

Setting Up Your Project

Prerequisites

Before you begin, ensure you have the following installed:

  • Node.js (12.x or later)
  • npm (Node Package Manager)
  • MongoDB (locally or through a cloud service like MongoDB Atlas)

Step 1: Create a New NestJS Application

To set up your NestJS project, use the Nest CLI. If you don't have it installed, you can do so with the following command:

npm install -g @nestjs/cli

Next, create a new project:

nest new scalable-app

Follow the prompts to set up your project, and navigate into the project directory:

cd scalable-app

Step 2: Install MongoDB Dependencies

To integrate MongoDB, you need to install the necessary packages. Use the following command:

npm install @nestjs/mongoose mongoose

Step 3: Configure MongoDB Connection

Open the app.module.ts file and set up the connection to your MongoDB database:

import { Module } from '@nestjs/common';
import { MongooseModule } from '@nestjs/mongoose';
import { AppController } from './app.controller';
import { AppService } from './app.service';

@Module({
  imports: [
    MongooseModule.forRoot('mongodb://localhost/nest'), // replace with your MongoDB connection string
  ],
  controllers: [AppController],
  providers: [AppService],
})
export class AppModule {}

Step 4: Creating a MongoDB Schema

Next, create a schema for your data. For this example, let’s create a simple User schema. Create a new file called user.schema.ts in the src directory:

import { Prop, Schema, SchemaFactory } from '@nestjs/mongoose';
import { Document } from 'mongoose';

@Schema()
export class User extends Document {
  @Prop({ required: true })
  name: string;

  @Prop({ required: true, unique: true })
  email: string;

  @Prop()
  password: string;
}

export const UserSchema = SchemaFactory.createForClass(User);

Step 5: Creating a User Module

Now, create a User module to encapsulate the user-related functionalities. Run the following command:

nest generate module users

Then, create a service and a controller for the users:

nest generate service users
nest generate controller users

Update the users.module.ts file to include the Mongoose schema and service:

import { Module } from '@nestjs/common';
import { MongooseModule } from '@nestjs/mongoose';
import { User, UserSchema } from './user.schema';
import { UsersService } from './users.service';
import { UsersController } from './users.controller';

@Module({
  imports: [MongooseModule.forFeature([{ name: User.name, schema: UserSchema }])],
  controllers: [UsersController],
  providers: [UsersService],
})
export class UsersModule {}

Step 6: Implementing User Service and Controller

In the users.service.ts, implement methods to create and find users:

import { Injectable } from '@nestjs/common';
import { InjectModel } from '@nestjs/mongoose';
import { Model } from 'mongoose';
import { User } from './user.schema';

@Injectable()
export class UsersService {
  constructor(@InjectModel(User.name) private userModel: Model<User>) {}

  async create(user: User): Promise<User> {
    const createdUser = new this.userModel(user);
    return createdUser.save();
  }

  async findAll(): Promise<User[]> {
    return this.userModel.find().exec();
  }
}

In the users.controller.ts, implement endpoints to interact with the user service:

import { Controller, Get, Post, Body } from '@nestjs/common';
import { UsersService } from './users.service';
import { User } from './user.schema';

@Controller('users')
export class UsersController {
  constructor(private readonly usersService: UsersService) {}

  @Post()
  async create(@Body() user: User) {
    return this.usersService.create(user);
  }

  @Get()
  async findAll() {
    return this.usersService.findAll();
  }
}

Step 7: Testing Your Application

Now that you've set up your application, you can test it using a tool like Postman or Insomnia. Start your NestJS application:

npm run start

Sample Requests

  • Create a User (POST request to http://localhost:3000/users with body):
{
  "name": "John Doe",
  "email": "john.doe@example.com",
  "password": "securepassword"
}
  • Fetch All Users (GET request to http://localhost:3000/users).

Conclusion

In this article, you learned how to set up a scalable architecture using NestJS and MongoDB. By following these steps, you can create a solid foundation for your applications, ensuring they can handle growth and scale efficiently. NestJS’s modular structure combined with MongoDB’s flexibility provides a powerful toolkit for modern web development.

Feel free to explore more advanced features such as authentication, pagination, and caching to further enhance your application’s performance and user experience. Happy coding!

SR
Syed
Rizwan

About the Author

Syed Rizwan is a Machine Learning Engineer with 5 years of experience in AI, IoT, and Industrial Automation.