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 GraphQL 

is a modern API technology that allows clients to request exactly the data they need. This makes it a great choice for building APIs that are efficient and easy to use.

NestJS is a popular framework for building Node.js web applications. It provides a number of features that make it well-suited for building GraphQL APIs, such as dependency injection, routing, and ORM support.

Prisma is an ORM that can be used to connect NestJS applications to a database. It provides a number of features that make it easy to build GraphQL APIs, such as schema {getButton} $text={Button Text}.

In this article, we will show you how to build a Node.js GraphQL API with NestJS and Prisma. We will create a simple API that allows users to create, read, update, and delete tasks.

Prerequisites
To follow this tutorial, you will need the following:

• Node.js and npm installed

• A basic understanding of GraphQL

• A basic understanding of NestJS

• A basic understanding of Prisma

First, we need to create a new NestJS project. We can do this by running the following command:

npm init @nestjs/cli --yes

This will create a new directory for our project and initialize a basic NestJS project.

Step 2: Install Prisma

Next, we need to install Prisma. We can do this by running the following command:

npm install prisma{codeBox}

This will install the Prisma CLI and the Prisma client library.

Step 3: Create a Prisma schema

Now, we need to create a Prisma schema. The Prisma schema defines the structure of our database. We can create a Prisma schema by running the following command:

prisma init

This will create a new file called schema.prisma. This file will contain the definition of our database schema.

Step 4: Connect Prisma to a database

Next, we need to connect Prisma to a database. We can do this by running the following command:

prisma migrate dev

This will create a new database and initialize it with the data defined in our Prisma schema.

Step 5: Create a NestJS GraphQL module

Now, we need to create a NestJS GraphQL module. We can do this by running the following command:

nest g module graphql

This will create a new module called graphql. This module will contain our GraphQL API.

Step 6: Configure the GraphQL module

Next, we need to configure the GraphQL module. We can do this by editing the module.ts file in the graphql module. We need to add the following import statement to the top of the file:

import { PrismaModule } from '@nestjs/prisma';

We also need to add the following line to the imports array:

PrismaModule.forRoot({ // The database connection string database: 'postgresql://localhost:5432/my_database', }),{codeBox}

Step 7: Create a GraphQL resolver

Now, we need to create a GraphQL resolver. A GraphQL resolver is a function that maps a GraphQL query or mutation to a specific piece of code. We can create a GraphQL resolver by creating a new file called tasks.resolver.ts in the graphql module.

The following code shows a simple GraphQL resolver that defines a getTasks query that returns all of the tasks in the database:

import { Resolver, Query, Args } from '@nestjs/graphql';
import { Task } from '@prisma/client';

@Resolver(of => Task)
export class TasksResolver {
  @Query('getTasks')
  getTasks(@Args('limit') limit: number = 10): Task[] {
    return Task.find({
      limit,
    });
  }
}

Step 8: Start the server

Now, we can start the server. We can do this by running the following command:

npm run start

This will start the NestJS server on port 30

Step 9: Test the API

Now, we can test the API. We can do this by using a GraphQL client, such as GraphQL Playground.

To use GraphQL Playground, we can open a web browser and go to the following URL:

http://localhost:3000/graphql

This will open GraphQL Playground in our web browser. We can then enter the following query into the GraphQL playground:

query {
  getTasks {
    id
    title
  }
}

This query will return all of the tasks in the database.

Step 10: Deploy the API

Once we are happy with our API, we can deploy it. We can deploy our API by using a hosting service, such as Heroku or Netlify.

To deploy our API to Heroku, we can run the following command:

heroku create

This will create a new Heroku app. We can then deploy our API by running the following command:

git push heroku master

Once our API is deployed, we can access it by going to the following URL:

https://<your-app-name>.herokuapp.com/graphql

Step 11: Add more features

Now that we have a basic GraphQL API, we can add more features. For example, we could add the ability to create, read, update, and delete tasks.

To add the ability to create tasks, we need to create a new resolver called createTask. This resolver will take a task object as input and save it to the database.

The following code shows the createTask resolver:

import { Resolver, Mutation, Args } from '@nestjs/graphql';
import { Task } from '@prisma/client';

@Resolver(of => Task)
export class TasksResolver {
  @Mutation('createTask')
  createTask(@Args('task') task: Task): Task {
    return Task.create({
      ...task,
    });
  }
}

To add the ability to read tasks, we need to create a new resolver called getTask. This resolver will take a task ID as input and return the task from the database.

The following code shows the getTask resolver:

import { Resolver, Query, Args } from '@nestjs/graphql';
import { Task } from '@prisma/client';

@Resolver(of => Task)
export class TasksResolver {
  @Query('getTask')
  getTask(@Args('id') id: string): Task {
    return Task.findOne({
      id,
    });
  }
}

To add the ability to update tasks, we need to create a new resolver called updateTask. This resolver will take a task ID and a task object as input and update the task in the database.

The following code shows the updateTask resolver:

import { Resolver, Mutation, Args } from '@nestjs/graphql';
import { Task } from '@prisma/client';

@Resolver(of => Task)
export class TasksResolver {
  @Mutation('updateTask')
  updateTask(@Args('id') id: string, @Args('task') task: Task): Task {
    return Task.update({
      id,
      ...task,
    });
  }
}

To add the ability to delete tasks, we need to create a new resolver called deleteTask. This resolver will take a task ID as input and delete the task from the database.

The following code shows the deleteTask resolver:

import { Resolver, Mutation, Args } from '@nestjs/graphql';
import { Task } from '@prisma/client';

@Resolver(of => Task)
export class TasksResolver {
  @Mutation('deleteTask')
  deleteTask(@Args('id') id: string): Task {
    return Task.delete({
      id,
    });
  }
}

Once we have added these resolvers, we can test them by using GraphQL Playground.

Step 12: Deploy the API to production

Once we are happy with our API, we can deploy it to production. We can deploy our API by using a hosting service, such as Heroku or Netlify.

To deploy our API to Heroku, we can run the following command:

heroku create

This will create a new Heroku app. We can then deploy our API by running the following command:

git push heroku master

Once our API is deployed, we can access it by going to the following URL:

https://<your-app-name>.herokuapp.com/graphql

Sure, here is the rest of the article:

Step 13: Further improvements

There are a few other things that we could do to improve our API. For example, we could:

• Add more validation to our queries and mutations.
• Add authentication and authorization to our API.
• Use a caching layer to improve the performance of our API.
• Use a CDN to distribute our API to users around the world.

These are just a few ideas for how to improve our API. There are many other things that we could do to make it more robust and scalable.

Additional Resources

• NestJS documentation: https://docs.nestjs.com/
• Prisma documentation: https://www.prisma.io/
• GraphQL documentation: https://graphql.org/

Step 14: Testing

It is important to test our API to make sure that it is working correctly. We can test our API using a GraphQL client, such as GraphQL Playground.

To test our API with GraphQL Playground, we can open a web browser and go to the following URL:

http://localhost:3000/graphql

This will open GraphQL Playground in our web browser. We can then enter the following query into the GraphQL playground:

query {
  getTasks {
    id
    title
  }
}

This query will return all of the tasks in the database. We can then use GraphQL Playground to test the other queries and mutations that we have created.

Step 15: Deployment

Once we are happy with our API, we can deploy it. We can deploy our API by using a hosting service, such as Heroku or Netlify.

To deploy our API to Heroku, we can run the following command:

heroku create

This will create a new Heroku app. We can then deploy our API by running the following command:

git push heroku master

Once our API is deployed, we can access it by going to the following URL:

https://<your-app-name>.herokuapp.com/graphq

I hope this article has been helpful. If you have any questions, please feel free to leave a comment below.

Additional Resources

• NestJS documentation: https://docs.nestjs.com/
• Prisma documentation: https://www.prisma.io/
• GraphQL documentation: https://graphql.org/

Bonus content:

• Here are some other features that you could add to your API:
  • The ability to filter tasks by title, status, or due date.
  • The ability to sort tasks by title, status, or due date.
  • The ability to search for tasks by title or description.
  • The ability to create relationships between tasks.
• Here are some other ways to improve your API:
  • Add more validation to your queries and mutations.
  • Add authentication and authorization to your API.
  • Use a caching layer to improve the performance of your API.
  • Use a CDN to distribute your API to users around the world.

I hope this bonus content has given you some ideas for how to improve your API.

Conclusion

In this article, we have shown you how to build a Node.js GraphQL API with NestJS and Prisma. We have created a simple API that allows users to create, read, update, and delete tasks.

This is just a basic example of how to build a GraphQL API with NestJS and Prisma. There are many other things that you can do with this technology. For example, you could use it to build a more complex API that allows users to interact with a database of products, customers, or orders.

I hope this article has been helpful. If you have any questions, please feel free to leave a comment below.