Web Developers : 13-Fetch Data by Attribute Using GraphQL and Fauna in Next.js

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Fetch Data by Attribute Using GraphQL and Fauna in Next.js

In the world of modern web development, the combination of GraphQL, Fauna, and Next.js offers a powerful toolkit for building efficient, data-driven applications. In this tutorial, we will explore how to fetch data by attribute using these technologies. By the end of this post, you will have a clear understanding of how to implement this in a Next.js application.

Prerequisites

Before we dive into the details, make sure you have the following installed:

• Node.js (version 12 or later)
• Next.js (latest version)
• FaunaDB account
• Basic understanding of GraphQL

Setting Up Your Next.js Application

First, let’s create a new Next.js application if you don’t have one set up already. Open your terminal and run the following command:

npx create-next-app my-graphql-fauna-app
cd my-graphql-fauna-app

Once your Next.js application is set up, navigate to the project directory.

Connecting to FaunaDB

Next, we need to connect our Next.js application to FaunaDB. Follow these steps:

1. Create a FaunaDB Database: Log into your FaunaDB account and create a new database for your project.
2. Generate an API Key: Go to the "Security" section and create a new key. Make sure to save this key, as we’ll need it later.
3. Install FaunaDB Driver: In your terminal, run the following command to install the FaunaDB client:

npm install faunadb

Setting Up GraphQL in FaunaDB

FaunaDB comes with built-in GraphQL support. To set this up:

1. Define a Schema: In FaunaDB, navigate to the "GraphQL" section and define your schema. For this example, let’s assume we are working with a User type:

type User {
  id: ID!
  name: String!
  email: String!
}

2. Insert Sample Data: You can add some sample users through the FaunaDB dashboard or use the following GraphQL mutation:

mutation {
  createUser(data: { name: "John Doe", email: "john.doe@example.com" }) {
    id
    name
    email
  }
}

Fetching Data by Attribute with GraphQL

Now that we have our database set up, let’s write a GraphQL query to fetch users by their attributes. We’ll create a simple function to fetch a user by email.

Create a GraphQL Query

In your Next.js application, create a new file called graphql.js in the lib directory. This file will contain our GraphQL queries and functions.

// lib/graphql.js
import faunadb from 'faunadb';

const client = new faunadb.Client({
  secret: process.env.FAUNADB_SECRET, // Set your FaunaDB secret in .env.local
});

const q = faunadb.query;

export const fetchUserByEmail = async (email) => {
  const response = await client.query(
    q.Get(q.Match(q.Index('users_by_email'), email))
  );
  return response.data;
};

Setting Up Environment Variables

To keep your API key secure, store it in an environment variable. Create a .env.local file in the root of your project and add the following line:

FAUNADB_SECRET=your_faunadb_secret

Make sure to replace your_faunadb_secret with your actual FaunaDB secret.

Implementing the Fetch Function in a Next.js Page

Now, let’s create a Next.js page to utilize our fetch function. Create a new file called user.js in the pages directory.

// pages/user.js
import { useEffect, useState } from 'react';
import { fetchUserByEmail } from '../lib/graphql';

const User = () => {
  const [user, setUser] = useState(null);
  const email = "john.doe@example.com"; // Example email to fetch

  useEffect(() => {
    const getUser = async () => {
      const fetchedUser = await fetchUserByEmail(email);
      setUser(fetchedUser);
    };

    getUser();
  }, [email]);

  return (
    <div>
      <h1>User Details</h1>
      {user ? (
        <div>
          <p>Name: {user.name}</p>
          <p>Email: {user.email}</p>
        </div>
      ) : (
        <p>Loading...</p>
      )}
    </div>
  );
};

export default User;

Running Your Next.js Application

Finally, start your Next.js application using the following command:

npm run dev

Navigate to http://localhost:3000/user to see the user data displayed.

Conclusion

In this tutorial, we covered how to fetch data by attribute using GraphQL and Fauna in a Next.js application. We set up our environment, created a schema and sample data in FaunaDB, and wrote a simple query to fetch user data by email.

This workflow not only provides flexibility in data fetching but also leverages the strengths of GraphQL and FaunaDB for modern web applications. Feel free to expand on this example and incorporate more complex queries and features into your project!

Happy coding!

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