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Building Microservices in NestJS (TCP, Redis, gRPC)

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Microservices architecture is a popular pattern for designing scalable, flexible, and maintainable systems. NestJS, with its built-in support for multiple transport layers, makes it easy to implement microservices in a variety of communication patterns. In this module, we will explore how to build microservices in NestJS using three popular transport mechanisms: TCP, Redis, and gRPC.

We will cover:

  • How to set up a TCP microservice in NestJS.
  • Using Redis for message-based communication between services.
  • Implementing gRPC for efficient and reliable communication.

Table of Contents

  1. What are Microservices?
  2. Setting Up a TCP Microservice
  3. Building a Redis Microservice
  4. Creating a gRPC Microservice
  5. Best Practices for Building Microservices in NestJS
  6. Conclusion

What are Microservices?

A microservices architecture breaks down a system into a collection of loosely coupled, independently deployable services. Each service in this architecture typically performs a single function, handles its own data, and communicates with other services via APIs or messaging.

NestJS simplifies the development of microservices by providing native support for several communication patterns, including TCP, Redis, and gRPC. These transport layers can be used to create scalable, fault-tolerant systems that are easier to maintain and extend.


Setting Up a TCP Microservice

Installing Dependencies

NestJS supports TCP out of the box via the @nestjs/microservices package, which simplifies setting up a TCP server and client.

npm install @nestjs/microservices

Creating the TCP Service

Let’s create a simple TCP-based microservice where we send a message to the microservice, and it responds with a greeting.

microservice.module.ts

import { Module } from '@nestjs/common';
import { MicroserviceController } from './microservice.controller';

@Module({
controllers: [MicroserviceController],
})
export class MicroserviceModule {}

microservice.controller.ts

import { Controller } from '@nestjs/common';
import { MessagePattern } from '@nestjs/microservices';

@Controller()
export class MicroserviceController {
@MessagePattern('greet')
greet(name: string): string {
return `Hello, ${name}!`;
}
}

main.ts (Microservice Setup)

import { NestFactory } from '@nestjs/core';
import { MicroserviceModule } from './microservice.module';
import { Transport } from '@nestjs/microservices';

async function bootstrap() {
const app = await NestFactory.createMicroservice(MicroserviceModule, {
transport: Transport.TCP,
options: {
host: '127.0.0.1',
port: 3001,
},
});
await app.listen();
}

bootstrap();

In this setup:

  • @MessagePattern is used to listen for a message from the TCP client.
  • The greet method handles the incoming message and responds with a personalized greeting.

Building a Redis Microservice

Setting Up Redis

Before setting up the Redis microservice, make sure Redis is installed and running on your machine. You can download Redis from here, or use a Redis instance on a cloud provider like RedisLabs.

Redis Microservice Implementation

In this example, we’ll use Redis as a message broker between microservices.

redis.module.ts

import { Module } from '@nestjs/common';
import { RedisController } from './redis.controller';

@Module({
controllers: [RedisController],
})
export class RedisModule {}

redis.controller.ts

import { Controller } from '@nestjs/common';
import { MessagePattern } from '@nestjs/microservices';

@Controller()
export class RedisController {
@MessagePattern('redis_message')
handleMessage(message: string): string {
return `Received message from Redis: ${message}`;
}
}

main.ts (Redis Microservice Setup)

import { NestFactory } from '@nestjs/core';
import { RedisModule } from './redis.module';
import { Transport } from '@nestjs/microservices';

async function bootstrap() {
const app = await NestFactory.createMicroservice(RedisModule, {
transport: Transport.REDIS,
options: {
url: 'redis://localhost:6379', // Redis server URL
},
});
await app.listen();
}

bootstrap();

Here:

  • We use @MessagePattern to listen for messages sent via Redis.
  • Redis is configured as the transport layer, and messages are sent to the Redis server at localhost:6379.

Creating a gRPC Microservice

Setting Up gRPC

To use gRPC in NestJS, we need the gRPC and protobufjs dependencies:

npm install @nestjs/microservices grpc @grpc/grpc-js protobufjs

Defining Proto Files

gRPC communication requires Protocol Buffers (proto files) to define message types and services. Let’s create a file called app.proto that defines a simple Hello service:

syntax = "proto3";

service HelloService {
rpc sayHello (HelloRequest) returns (HelloResponse);
}

message HelloRequest {
string name = 1;
}

message HelloResponse {
string message = 1;
}

This proto file defines a service called HelloService with a method sayHello that accepts a HelloRequest and returns a HelloResponse.

Implementing the gRPC Service

grpc.service.ts

import { Injectable } from '@nestjs/common';
import { GrpcMethod } from '@nestjs/microservices';
import { HelloRequest, HelloResponse } from './interfaces/hello.interface';

@Injectable()
export class GrpcService {
@GrpcMethod('HelloService', 'sayHello')
sayHello(data: HelloRequest): HelloResponse {
return { message: `Hello, ${data.name}!` };
}
}

grpc.module.ts

import { Module } from '@nestjs/common';
import { GrpcService } from './grpc.service';

@Module({
providers: [GrpcService],
})
export class GrpcModule {}

main.ts (gRPC Microservice Setup)

import { NestFactory } from '@nestjs/core';
import { GrpcModule } from './grpc.module';
import { Transport } from '@nestjs/microservices';

async function bootstrap() {
const app = await NestFactory.createMicroservice(GrpcModule, {
transport: Transport.GRPC,
options: {
package: 'hello', // gRPC package name
protoPath: join(__dirname, './proto/app.proto'), // Path to the proto file
},
});
await app.listen();
}

bootstrap();

In this setup:

  • @GrpcMethod is used to define a method for handling gRPC requests.
  • The sayHello method processes the request and returns a response with a greeting.

Best Practices for Building Microservices in NestJS

  1. Decouple Services: Microservices should be loosely coupled and have well-defined boundaries. Each service should manage its own data and logic.
  2. Use Event-Driven Architecture: For better scalability, use message brokers (like Redis) to decouple microservices further and handle asynchronous communication.
  3. Use Protocol Buffers with gRPC: When building efficient APIs, prefer gRPC and Protocol Buffers over JSON-based communication for better performance.
  4. Handle Failures Gracefully: Ensure that microservices can handle partial failures without affecting the entire system. Use retries and circuit breakers as needed.
  5. Keep Services Lightweight: Each service should only perform one responsibility and be lightweight, so it can be easily scaled and deployed independently.

Conclusion

In this module, we’ve learned how to build microservices in NestJS using three different transport layers: TCP, Redis, and gRPC. NestJS simplifies the creation of microservices with its flexible microservices module and support for various communication protocols.

By using TCP, Redis, and gRPC, you can create scalable, efficient, and maintainable systems that follow the principles of microservices architecture. Each of these communication methods is suitable for different use cases, and you can choose the one that best fits your application’s needs.

GraphQL Federation and Apollo Gateway in NestJS

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As applications grow in complexity, microservices and modular architectures become essential. GraphQL Federation allows you to build a distributed GraphQL architecture where different services can contribute to a single GraphQL schema. Apollo Gateway serves as the entry point to this federated schema, enabling seamless interaction between various services.

In this module, we will explore how to set up GraphQL Federation with Apollo Gateway in a NestJS application. We will cover the integration of multiple NestJS services into a unified GraphQL API, ensuring each service handles a distinct domain but appears as one cohesive GraphQL schema to the client.


Table of Contents

  1. What is GraphQL Federation?
  2. Setting Up Federation in NestJS
  3. Apollo Gateway Setup
  4. Best Practices for GraphQL Federation
  5. Conclusion

What is GraphQL Federation?

GraphQL Federation is a concept introduced by Apollo that allows you to split your GraphQL API into multiple independent services. These services each define part of the schema, and the Apollo Gateway acts as a unified API that merges these parts together.

Federation is beneficial in microservices architectures because it:

  • Decouples different parts of the schema, allowing teams to manage and deploy services independently.
  • Allows for scalability since each federated service can be deployed and scaled independently.
  • Reduces the complexity of dealing with one large monolithic GraphQL server.

In a federated architecture:

  • Each service defines its own schema.
  • Apollo Gateway aggregates the schemas and serves as the entry point for clients.

Setting Up Federation in NestJS

Installing Required Dependencies

To use GraphQL Federation with NestJS, we need to install the necessary Apollo packages. These include @nestjs/graphql, @apollo/federation, and @nestjs/apollo.

Install the required dependencies:

npm install @nestjs/graphql @nestjs/apollo @apollo/federation apollo-server-express graphql

Creating Federated Services

Each service in a federated architecture can expose part of the schema. Let’s create two services: one for Users and one for Posts. Each service will define part of the GraphQL schema and expose it to the Apollo Gateway.

User Service

// user.service.ts
import { Injectable } from '@nestjs/common';
import { User } from './user.model';

@Injectable()
export class UserService {
private readonly users: User[] = [
{ id: '1', name: 'John Doe' },
{ id: '2', name: 'Jane Smith' },
];

findOne(id: string): User {
return this.users.find(user => user.id === id);
}
}

// user.resolver.ts
import { Resolver, Query, Args } from '@nestjs/graphql';
import { UserService } from './user.service';
import { User } from './user.model';

@Resolver(of => User)
export class UserResolver {
constructor(private readonly userService: UserService) {}

@Query(returns => User)
async getUser(@Args('id') id: string): Promise<User> {
return this.userService.findOne(id);
}
}

// user.model.ts
import { ObjectType, Field, ID } from '@nestjs/graphql';

@ObjectType()
export class User {
@Field(type => ID)
id: string;

@Field()
name: string;
}

In this service:

  • We define the User schema with a getUser query that fetches user data by id.

Post Service

// post.service.ts
import { Injectable } from '@nestjs/common';
import { Post } from './post.model';

@Injectable()
export class PostService {
private readonly posts: Post[] = [
{ id: '1', userId: '1', content: 'Post 1 Content' },
{ id: '2', userId: '2', content: 'Post 2 Content' },
];

findPostsByUserId(userId: string): Post[] {
return this.posts.filter(post => post.userId === userId);
}
}

// post.resolver.ts
import { Resolver, Query, Args } from '@nestjs/graphql';
import { PostService } from './post.service';
import { Post } from './post.model';
import { User } from '../user/user.model';
import { ResolveField, Parent } from '@nestjs/graphql';

@Resolver(of => Post)
export class PostResolver {
constructor(private readonly postService: PostService) {}

@Query(returns => [Post])
async getPostsByUser(@Args('userId') userId: string): Promise<Post[]> {
return this.postService.findPostsByUserId(userId);
}

@ResolveField('user', returns => User)
async getUser(@Parent() post: Post): Promise<User> {
return { id: post.userId, name: 'Sample User' }; // Simulate fetching user
}
}

// post.model.ts
import { ObjectType, Field, ID } from '@nestjs/graphql';

@ObjectType()
export class Post {
@Field(type => ID)
id: string;

@Field()
content: string;

@Field(type => String)
userId: string;
}

In this service:

  • We define the Post schema with a getPostsByUser query, and use @ResolveField to link posts to the User type.

Apollo Gateway Setup

Setting Up Apollo Gateway

To integrate these services with Apollo Gateway, you need a separate service acting as the gateway. This gateway will aggregate schemas from each service.

First, install the required gateway packages:

npm install @nestjs/apollo @nestjs/graphql apollo-server-express graphql

Then, configure the Apollo Gateway in your NestJS application:

// gateway.module.ts
import { Module } from '@nestjs/common';
import { GraphQLModule } from '@nestjs/graphql';
import { ApolloGateway, RemoteGraphQLDataSource } from '@apollo/gateway';
import { ApolloServer } from 'apollo-server-express';

@Module({
imports: [
GraphQLModule.forRootAsync({
useFactory: () => ({
driver: ApolloServer,
gateway: new ApolloGateway({
serviceList: [
{ name: 'users', url: 'http://localhost:3001/graphql' },
{ name: 'posts', url: 'http://localhost:3002/graphql' },
],
buildService({ name, url }) {
return new RemoteGraphQLDataSource({ url });
},
}),
}),
}),
],
})
export class GatewayModule {}

In this setup:

  • Apollo Gateway is configured to aggregate the services from User and Post. The serviceList contains the URLs of the federated services.
  • The buildService method is used to define how to connect to each federated service.

Configuring Gateway to Federated Services

Now, run the services independently on different ports:

  • User service: http://localhost:3001/graphql
  • Post service: http://localhost:3002/graphql

The Apollo Gateway will combine these schemas and allow queries to be executed across both services.


Best Practices for GraphQL Federation

  1. Schema Design: Carefully design your schema to split responsibilities across multiple services. Each service should own its part of the schema.
  2. Avoid Circular Dependencies: Ensure that services do not have circular dependencies. Use @ResolveField to link services where necessary.
  3. Handle Errors Gracefully: Federated services should handle errors gracefully and communicate them to the Apollo Gateway to provide a clear error response to clients.
  4. Versioning: Keep track of versions of your federated services to ensure backward compatibility.

Conclusion

In this module, we’ve covered the fundamentals of GraphQL Federation with Apollo Gateway in NestJS. We’ve set up a federated architecture where different services contribute to a single GraphQL schema, allowing scalable and modular applications. With Apollo Gateway acting as the central entry point, clients can query data from multiple services seamlessly.

Performance Optimization with Dataloader in NestJS

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In modern applications, performance is a critical factor, especially when dealing with complex databases and large datasets. One common performance issue arises when querying related data in GraphQL, leading to N+1 query problems—multiple queries being sent for each related entity. Fortunately, Dataloader provides a solution to this problem by batching and caching requests, optimizing performance in GraphQL resolvers.

In this module, we will explore how to integrate Dataloader with NestJS to handle N+1 queries efficiently, and learn how to leverage it for optimizing database calls.


Table of Contents

  1. What is Dataloader?
  2. Setting Up Dataloader in NestJS
  3. Using Dataloader in GraphQL Resolvers
  4. Batching and Caching with Dataloader
  5. Best Practices for Using Dataloader
  6. Conclusion

What is Dataloader?

Dataloader is a library designed to solve the N+1 query problem by batching and caching database requests. It allows you to group multiple requests into a single query, drastically reducing the number of database calls. This is particularly useful in GraphQL, where you often need to resolve related fields and may end up making redundant queries.

For example, in a typical scenario without Dataloader, if you are querying a list of users and also need to fetch their associated posts, you could end up querying the database once for each user, leading to N+1 queries. Dataloader helps optimize this by batching these requests into a single query.


Setting Up Dataloader in NestJS

To get started with Dataloader in NestJS, first, you need to install the dataloader package.

npm install dataloader

Next, let’s configure it within your NestJS application. You will need to set up a Dataloader service that can be injected into your GraphQL resolvers.

// dataloader.service.ts
import { Injectable } from '@nestjs/common';
import * as DataLoader from 'dataloader';
import { UserService } from './user.service';

@Injectable()
export class DataloaderService {
constructor(private userService: UserService) {}

createUserLoader() {
return new DataLoader(async (ids: string[]) => {
const users = await this.userService.findUsersByIds(ids);
const userMap = new Map(users.map(user => [user.id, user]));
return ids.map(id => userMap.get(id));
});
}
}

In the example above:

  • DataLoader is configured to batch requests for user data.
  • The createUserLoader() method creates a loader that batches requests for users by their id.

To integrate this with your application, you will need to provide this loader globally via the DataloaderService or inject it directly in your GraphQL resolvers.


Using Dataloader in GraphQL Resolvers

Once you have the Dataloader service configured, you can use it in your GraphQL resolvers to optimize the fetching of related data.

Here’s how you can use Dataloader in a GraphQL resolver for the User entity:

// user.resolver.ts
import { Resolver, Query, Args } from '@nestjs/graphql';
import { User } from './user.model';
import { DataloaderService } from './dataloader.service';

@Resolver(of => User)
export class UserResolver {
constructor(private dataloaderService: DataloaderService) {}

@Query(returns => User)
async getUser(@Args('id') id: string): Promise<User> {
const userLoader = this.dataloaderService.createUserLoader();
return await userLoader.load(id);
}
}

In this example:

  • The getUser query uses the Dataloader service to load a single user based on the provided id.
  • The Dataloader batch loads users if there are multiple requests for users in the same GraphQL query, avoiding the N+1 query problem.

Batching and Caching with Dataloader

Dataloader works by batching multiple requests for the same resource into a single call, and caching results for future requests. Here’s how these two concepts work together to improve performance:

  1. Batching: If multiple GraphQL resolvers request the same data (e.g., multiple posts asking for their authors), Dataloader batches these requests into a single query instead of making separate database calls for each resolver.
  2. Caching: Once Dataloader loads a resource, it stores the result in a cache. If the same resource is requested again during the same request, it serves the cached data, reducing unnecessary database queries.

Here’s an example of how Dataloader can cache results:

// dataloader.service.ts
import * as DataLoader from 'dataloader';

@Injectable()
export class DataloaderService {
private userLoader = new DataLoader(async (ids: string[]) => {
const users = await this.userService.findUsersByIds(ids);
const userMap = new Map(users.map(user => [user.id, user]));
return ids.map(id => userMap.get(id));
});

getUserLoader() {
return this.userLoader;
}
}

In this setup:

  • If the getUserLoader() is called multiple times within the same request, the results are cached, reducing the number of queries sent to the database.
  • This can significantly improve performance, especially in complex applications with many related data fetches.

Best Practices for Using Dataloader

To get the most out of Dataloader in your NestJS application, consider the following best practices:

  1. Use Dataloader Per Request: Dataloader is request-scoped, meaning each request should have its own instance of Dataloader. This ensures that data is batched and cached within the context of a single request.
  2. Limit Caching: Be mindful of Dataloader’s caching mechanism. It caches data within the scope of a request, but for long-term caching (across requests), consider using external caching solutions like Redis.
  3. Batching Related Queries: Group related database queries together to minimize the number of database requests. For instance, when querying users with their posts or comments, batch all related requests into one.
  4. Handle Complex Relationships: When your GraphQL queries are deeply nested (e.g., querying a post, and then querying the user and comments), make sure to structure your Dataloader to handle each layer of the query.
  5. Optimize Resolver Logic: Always aim to minimize the logic within resolvers, using Dataloader to handle as much of the data fetching and batching as possible.

Conclusion

In this module, we’ve explored how to use Dataloader to optimize performance in your NestJS GraphQL API by batching and caching database requests. We’ve shown how to set up Dataloader in a service, integrate it into GraphQL resolvers, and how it helps eliminate N+1 query problems by batching multiple requests into a single query.

Handling Input Validation and Auth in GraphQL in NestJS

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GraphQL allows for flexible and efficient data querying, but managing input validation and authentication within your GraphQL API requires specific strategies. NestJS provides powerful tools to handle both input validation and authentication seamlessly.

In this module, we will explore how to manage input validation using class-validator and implement authentication in your GraphQL API to ensure that only authorized users can access protected resources.


Table of Contents

  1. Input Validation in GraphQL
  2. Authentication in GraphQL
  3. Best Practices for Input Validation and Auth
  4. Conclusion

Input Validation in GraphQL

Using class-validator with DTOs

One of the key features of NestJS is its ability to handle validation through DTOs (Data Transfer Objects). DTOs allow you to structure the data expected from the client, and the class-validator library makes it easy to validate incoming data.

To start with input validation, you first need to install the necessary packages:

npm install class-validator class-transformer

Now, let’s create a DTO for creating a user, and add validation decorators using class-validator.

// create-user.input.ts
import { InputType, Field } from '@nestjs/graphql';
import { IsEmail, IsNotEmpty, MinLength } from 'class-validator';

@InputType()
export class CreateUserInput {
@Field()
@IsNotEmpty()
@MinLength(3)
name: string;

@Field()
@IsEmail()
email: string;

@Field()
@IsNotEmpty()
@MinLength(6)
password: string;
}

In this example:

  • @IsNotEmpty() ensures that the field is not empty.
  • @MinLength() checks that the input is long enough.
  • @IsEmail() validates that the email is in the correct format.

Validating Input in Resolvers

Once you have created the DTO, you can use it in the resolver and validate the input before proceeding with any logic.

// user.resolver.ts
import { Resolver, Mutation, Args } from '@nestjs/graphql';
import { CreateUserInput } from './create-user.input';
import { User } from './user.model';
import { UserService } from './user.service';
import { UsePipes, ValidationPipe } from '@nestjs/common';

@Resolver(of => User)
export class UserResolver {
constructor(private userService: UserService) {}

@Mutation(returns => User)
@UsePipes(new ValidationPipe())
async createUser(@Args('input') input: CreateUserInput): Promise<User> {
return this.userService.create(input);
}
}

In this example:

  • The @UsePipes() decorator ensures that the input is validated using the ValidationPipe before the resolver logic is executed.
  • The ValidationPipe automatically checks if the input conforms to the rules defined in the DTO using class-validator.

Authentication in GraphQL

JWT Authentication Strategy

In many GraphQL applications, protecting certain queries and mutations is crucial. JSON Web Tokens (JWT) are widely used for user authentication in APIs. To handle JWT authentication in NestJS, we will create a custom authentication guard.

First, install the necessary packages for JWT authentication:

npm install @nestjs/jwt passport-jwt

Then, configure JWT authentication in your auth module:

// auth.service.ts
import { Injectable } from '@nestjs/common';
import { JwtService } from '@nestjs/jwt';

@Injectable()
export class AuthService {
constructor(private jwtService: JwtService) {}

async generateToken(userId: string): Promise<string> {
return this.jwtService.sign({ userId });
}
}

You can create a guard to protect your GraphQL resolvers:

// jwt-auth.guard.ts
import { Injectable } from '@nestjs/common';
import { AuthGuard } from '@nestjs/passport';

@Injectable()
export class JwtAuthGuard extends AuthGuard('jwt') {}

The JwtAuthGuard will check the request for a valid JWT and ensure that only authenticated users can access protected resources.

Protecting Resolvers with Guards

Once you have your authentication strategy and guard in place, you can protect GraphQL resolvers by using the @UseGuards() decorator.

Here’s how you can protect a query and a mutation:

// user.resolver.ts
import { Resolver, Query, Mutation, Args } from '@nestjs/graphql';
import { User } from './user.model';
import { UserService } from './user.service';
import { UseGuards } from '@nestjs/common';
import { JwtAuthGuard } from '../auth/jwt-auth.guard';

@Resolver(of => User)
export class UserResolver {
constructor(private userService: UserService) {}

@Query(returns => User)
@UseGuards(JwtAuthGuard)
async getUser(@Args('id') id: string): Promise<User> {
return this.userService.findOne(id);
}

@Mutation(returns => User)
@UseGuards(JwtAuthGuard)
async createUser(@Args('input') input: CreateUserInput): Promise<User> {
return this.userService.create(input);
}
}

In this example:

  • Both the getUser and createUser operations are protected by the JwtAuthGuard. This ensures that the user must be authenticated to access these operations.

Best Practices for Input Validation and Auth

  1. Use DTOs for Input Validation: Define and validate the input structure with DTOs to ensure that the data coming into your GraphQL API is in the expected format.
  2. Keep Guards Simple: Your guards should focus solely on authentication and authorization. Complex business logic should not reside in guards.
  3. Leverage NestJS’s Built-in Pipes and Validation: NestJS offers built-in ValidationPipe and class-validator integration that automates much of the work, ensuring that your data is properly validated before it’s processed.
  4. Use Access Control: Ensure that sensitive queries and mutations are protected and that the correct permissions are enforced.
  5. Ensure Secure Token Handling: Use JWT tokens securely and ensure they are transmitted over secure channels (e.g., HTTPS).

Conclusion

In this module, we have covered how to handle input validation and authentication in GraphQL using NestJS. By using DTOs with class-validator and implementing JWT authentication, you can ensure that your GraphQL API is both secure and robust. Additionally, we saw how to protect resolvers using guards to enforce role-based access control and prevent unauthorized access.

With these techniques, you can create a secure and well-validated GraphQL API in NestJS that is ready to handle a variety of use cases, from simple data fetching to complex, authenticated workflows.

Resolvers, Queries, Mutations, and Subscriptions in NestJS

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GraphQL enables you to interact with your data by defining a schema that specifies the types, queries, mutations, and subscriptions. The key component that handles GraphQL operations in NestJS is the Resolver. Resolvers are responsible for fetching data for queries and performing actions for mutations and subscriptions.

In this module, we will break down how to implement Resolvers, define Queries, Mutations, and Subscriptions in NestJS, and understand their roles in building a complete GraphQL API.


Table of Contents

  1. What are Resolvers in GraphQL?
  2. Queries in NestJS
  3. Mutations in NestJS
  4. Subscriptions in NestJS
  5. Resolver Example in NestJS
  6. Best Practices
  7. Conclusion

What are Resolvers in GraphQL?

In GraphQL, Resolvers are functions that are responsible for fetching the data for the fields specified in a query, mutation, or subscription. When a request is made to a GraphQL server, the resolver determines how to resolve that request based on the fields requested.

Resolvers are connected to the GraphQL schema. They perform the necessary actions (like fetching data from a database or calling external APIs) and return the appropriate data for the client.

In NestJS, resolvers are decorated with @Resolver() and are responsible for implementing the query, mutation, and subscription logic.


Queries in NestJS

Defining Queries

A Query in GraphQL is used to fetch data. It is analogous to a GET request in REST APIs. In NestJS, you define queries using the @Query() decorator.

Query Resolvers

Let’s look at how to define a simple query that retrieves data.

// user.model.ts
import { ObjectType, Field, Int } from '@nestjs/graphql';

@ObjectType()
export class User {
@Field(type => Int)
id: number;

@Field()
name: string;

@Field()
email: string;
}

Now, let’s create a query resolver that fetches user data:

// user.resolver.ts
import { Resolver, Query, Args } from '@nestjs/graphql';
import { User } from './user.model';
import { UserService } from './user.service';

@Resolver(of => User)
export class UserResolver {
constructor(private userService: UserService) {}

@Query(returns => User)
async getUser(@Args('id') id: number): Promise<User> {
return this.userService.findOne(id);
}
}

In this example:

  • The @Query() decorator defines a query operation.
  • The @Args() decorator defines the parameters for the query.

This query fetches a User by their id. The resolver method (getUser) interacts with the service layer to fetch the data.


Mutations in NestJS

Defining Mutations

A Mutation in GraphQL is used to modify data (create, update, or delete). It is similar to POST, PUT, or DELETE requests in REST APIs. Mutations can return values, like queries, but they usually perform side effects (e.g., database updates).

Mutation Resolvers

Here’s how to define a mutation in NestJS:

// user.resolver.ts
import { Resolver, Mutation, Args } from '@nestjs/graphql';
import { User } from './user.model';
import { UserService } from './user.service';

@Resolver(of => User)
export class UserResolver {
constructor(private userService: UserService) {}

@Mutation(returns => User)
async createUser(
@Args('name') name: string,
@Args('email') email: string
): Promise<User> {
return this.userService.create(name, email);
}
}

In this example:

  • The @Mutation() decorator defines a mutation operation.
  • The @Args() decorator defines the input parameters for the mutation.

The createUser mutation creates a new user by invoking the service layer and passing the name and email.


Subscriptions in NestJS

Defining Subscriptions

A Subscription in GraphQL is used for real-time updates. Unlike queries and mutations, subscriptions are long-lived operations that maintain a connection with the client and push updates when data changes. Subscriptions are often used for scenarios like messaging apps or live feeds.

Subscription Resolvers

To implement subscriptions, we use the @Subscription() decorator in NestJS:

// user.resolver.ts
import { Resolver, Query, Mutation, Args, Subscription } from '@nestjs/graphql';
import { PubSub } from 'graphql-subscriptions';
import { User } from './user.model';
import { UserService } from './user.service';

const pubSub = new PubSub();

@Resolver(of => User)
export class UserResolver {
constructor(private userService: UserService) {}

@Mutation(returns => User)
async createUser(
@Args('name') name: string,
@Args('email') email: string
): Promise<User> {
const user = await this.userService.create(name, email);
pubSub.publish('userCreated', { userCreated: user });
return user;
}

@Subscription(returns => User, {
resolve: value => value.userCreated,
})
userCreated() {
return pubSub.asyncIterator('userCreated');
}
}

In this example:

  • The createUser mutation creates a new user and then triggers the userCreated subscription, notifying all subscribed clients.
  • The @Subscription() decorator defines a subscription operation.
  • The PubSub instance is used to manage real-time notifications.

The asyncIterator listens for changes (in this case, the userCreated event) and pushes updates to the subscribers.


Resolver Example in NestJS

Let’s put it all together in a full example that includes a query, mutation, and subscription.

// user.resolver.ts
import { Resolver, Query, Mutation, Args, Subscription } from '@nestjs/graphql';
import { PubSub } from 'graphql-subscriptions';
import { User } from './user.model';
import { UserService } from './user.service';

const pubSub = new PubSub();

@Resolver(of => User)
export class UserResolver {
constructor(private userService: UserService) {}

@Query(returns => User)
async getUser(@Args('id') id: number): Promise<User> {
return this.userService.findOne(id);
}

@Mutation(returns => User)
async createUser(
@Args('name') name: string,
@Args('email') email: string
): Promise<User> {
const user = await this.userService.create(name, email);
pubSub.publish('userCreated', { userCreated: user });
return user;
}

@Subscription(returns => User, {
resolve: value => value.userCreated,
})
userCreated() {
return pubSub.asyncIterator('userCreated');
}
}

Best Practices

  • Separation of concerns: Keep your resolvers focused on data fetching and mutation logic. Complex business logic should be handled in services or other layers.
  • Error handling: Always include error handling in mutations to ensure your GraphQL API behaves predictably.
  • Subscriptions: When implementing subscriptions, make sure you have a clear understanding of how WebSockets work, as they are the backbone of subscription functionality.
  • Authentication and Authorization: Protect sensitive queries and mutations using guards, and ensure that only authorized users can access or modify certain data.

Conclusion

In this module, we have learned how to implement Resolvers, Queries, Mutations, and Subscriptions in NestJS using GraphQL. These fundamental concepts enable you to build dynamic and real-time APIs with ease.

By defining resolvers to handle queries, mutations, and subscriptions, you can create powerful and flexible GraphQL APIs that allow clients to interact with your data in a more efficient and streamlined manner.