
Next JS GraphQL is a powerful combination that can take your web development to the next level. By leveraging the strengths of both technologies, you can build fast, scalable, and maintainable applications.
To get the most out of Next JS GraphQL, it's essential to follow best practices and performance tips. This means optimizing your GraphQL schema for performance, caching frequently accessed data, and minimizing the number of queries made to the server.
One key performance tip is to use fragments to reduce the amount of data transferred between the client and server. Fragments allow you to extract reusable pieces of data from your GraphQL schema, reducing the overhead of sending unnecessary data.
By implementing these best practices and performance tips, you can create high-performance Next JS GraphQL applications that deliver a seamless user experience.
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Prerequisites
To start using GraphQL with Next.js, you'll need to have a basic understanding of a few key areas.
A little knowledge in these areas will go a long way.
Node.js Package Manager
To run Next.js on your computer, you'll need Node.js installed. Node.js is a necessary component.
You'll also need a package manager to handle your project's packages. Both npm and yarn are good options, so just pick the one you prefer.
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Schema Ts
Schema Ts is the file where you define the types and mutations for your GraphQL API. It's written in the GraphQL Schema Definition Language (SDL) and includes types, queries, mutations, and subscriptions.
The schema is the heart of any GraphQL API, and it defines the types of data you can request and the relationships between those types.
A basic schema might look like this:
- Todo type: Represents a todo item with fields userId, id, title, and completed.
- Query type: Defines todos (fetches all todos) and todoById (fetches a specific todo by ID).
- Mutation type: Defines createTodo, updateTodo, and deleteTodo for modifying data.
In the Schema Ts file, you'll represent the schema definition for your GraphQL API. This includes supporting queries and mutations using specific input parameters.
Note that you'll need to update your route.ts file to access the datasource via context.
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Setting Up
Setting up a Next.js app with GraphQL involves several steps. You can create a new Next.js project and navigate into it to begin. Install Apollo Client to interact with a GraphQL API in your app.
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To set up Apollo Client, you need to install the necessary dependencies, including Apollo Client itself, and then configure it within your Next.js app. This involves creating a client that knows where to find the GraphQL server and how to store data.
Here are the steps to set up Apollo Client in a Next.js app:
- Create a new Next.js project and navigate into it.
- Install Apollo Client and the necessary dependencies.
- Configure Apollo Client within your Next.js app.
- Create an Apollo Provider to handle queries.
- Set up the Apollo Provider in your app's layout file.
- Define GraphQL queries and mutations.
- Create a Todo page to interact with the GraphQL API.
Setting Up
Setting up a GraphQL server can be a bit of a process, but don't worry, it's easier than you think. First, you'll need to install the necessary dependencies, such as graphql and @apollo/client.
To get started, you can install the graphql and apollo packages, as well as apollo-datasource-mongodb, which uses DataLoader for batching and per-request memoization caching. You can also use the as-integrations/next package, which enables you to run apollo-server on nextjs api routes.
In addition to installing dependencies, you'll also need to set up Apollo Client within your Next.js app to handle queries. This involves creating a new Next.js project, installing Apollo Client, and configuring it within your app.
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Here's a step-by-step guide to setting up Apollo Client:
- Create a new Next.js project and navigate into it.
- Install Apollo Client.
- Configure Apollo Client within your app.
- Create an Apollo Provider and set it up.
- Define GraphQL queries and mutations.
You can also use a template or clone an existing project to get started. For example, you can clone the project on this url (https://github.com/Stephany-Doris/NextJS-GraphQL-MongoDB-app) and checkout the initial-setup branch to get the UI and packages installed during setup.
Remember, setting up a GraphQL server is just the first step. You'll also need to create a schema, resolvers, and a GraphQL server to make it all work together.
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Route Ts
Route Ts is where the magic happens. This is where we define how our Next.js application will handle incoming HTTP requests.
The startServerAndCreateNextHandler function is a crucial part of this process. It's provided by the @as-integrations/next package and is responsible for creating a handler that integrates Apollo Server with Next.js.
This handler accepts the Apollo Server instance and a configuration object as props. It's a key component in processing GraphQL requests through Apollo Server within the Next.js context.
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We also import ApolloServer from @apollo/server, which is used to instantiate an Apollo Server. This is where we pass in the defined resolvers and typeDefs.
The resolvers and typeDefs contain the GraphQL schema and resolver functions for our GraphQL API. These are essential for defining how our API will behave and what data it will provide.
Here are the key components involved in Route Ts:
- startServerAndCreateNextHandler: provided by @as-integrations/next package
- ApolloServer: used to instantiate an Apollo Server
- NextRequest: represents a Next.js server request
- typeDefs and resolvers: contain the GraphQL schema and resolver functions
The Handler Functions are also worth mentioning. These are two functions (GET and POST) that are exported, each accepting a NextRequest. They're designed to handle incoming HTTP requests (GET and POST) received by the Next.js server.
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SSG
Setting up a Next.js project can be a bit overwhelming, but don't worry, I've got you covered. Next.js also supports Static Site Generation (SSG), which can be combined with GraphQL for even more performance gains.
By using getStaticProps, Next.js can generate the page at build time, improving load performance for users. This is a game-changer for large applications that need to render complex data. Next.js can generate the page at build time, improving load performance for users.
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Project Structure
When you start a new Next.js project, you'll notice a few important folders and files that make up the project structure.
The pages folder is where you'll put the different pages of your Next.js app, and these pages are made with React components and are rendered on the server.
The public folder is where you'll put your static files, like images, and you can link to these files from your pages.
The package.json file lists all the project's dependencies and scripts you can run.
The next.config.js file is where you'll customize your Next.js setup if you need to.
The .gitignore file tells git which files to ignore and not track.
The README.md file is a file with basic info about your project and how to use it.
Here are the main folders and files you'll find in a new Next.js project:
- pages - This is where you'll put the different pages of your Next.js app.
- public - Put your static files, like images, here.
- package.json - This file lists all the project's dependencies and scripts you can run.
- next.config.js - If you need to customize your Next.js setup, you'll do it here.
- .gitignore - This file tells git which files to ignore and not track.
- README.md - A file with basic info about your project and how to use it.
Integrating GraphQL
Integrating GraphQL into your Next.js application is a straightforward process. You can use the `@apollo/client` package to connect to your GraphQL API.
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To get started, you'll need to install the package using npm or yarn. This will give you access to the necessary tools to create a GraphQL client.
The `@apollo/client` package provides a simple way to fetch data from your GraphQL API using the `useQuery` hook. This hook allows you to fetch data from your API and update it in real-time, making it perfect for dynamic applications.
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Resolvers Ts
Resolvers are functions that handle the fetching of data for each field in the schema, and in our case, they're defined in a file called Resolvers.ts. This file contains the functions that correspond to the defined queries and mutations in the schema.
Each field in a query or mutation is mapped to a resolver function, which contains the logic for retrieving the data. For example, we have resolvers for fetching all todos, a single todo by ID, creating a new todo, updating a specific todo, and deleting a todo.
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Here's a breakdown of the resolvers we've defined:
- todos: Fetches all todos.
- todoById: Fetchs a single todo by ID.
- createTodo: Creates a new todo with the specified userId, title, and completed status.
- updateTodo: Updates a specific todo’s title or completion status by ID.
- deleteTodo: Deletes a todo by ID.
These resolvers will execute the necessary logic to retrieve or manipulate data from MongoDB and return the results as requested by the client’s queries or mutations.
Integrating
Integrating GraphQL is a game-changer for complex data queries.
By using a single endpoint, you can fetch multiple types of data with a single request.
This reduces the number of round trips needed to fetch data, making your application more efficient.
The GraphQL schema is defined as a type graph, which helps to organize the different types of data and their relationships.
This makes it easier to understand and navigate the data structure, even for complex applications.
With GraphQL, you can also implement caching and other performance optimizations to improve the user experience.
For example, you can cache the results of frequently requested queries to reduce the load on your database.
This can significantly improve the performance and scalability of your application.
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Displaying and Updating Data
You can display data in a Next.js page by querying it from a GraphQL API using Apollo Client's useQuery hook. This is a straightforward process.
To update data, you can use mutations in GraphQL, which let you change data on the server. You can do this in Next.js using Apollo Client.
Updating the cache is also important, as it can become outdated after making changes. This can be fixed by giving an update function when setting up your mutation.
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Displaying Fetched Data
You can display fetched data using Apollo Client's useQuery hook to execute GraphQL queries and retrieve data from API.
Once you've fetched the data, you can simply render it on your React app. And there you have it, the simple way to get and show data using GraphQL in your React app!
To display the data, you'll need to use the useQuery hook to get the data from the API, and then render it in your component. This can be done by using a React component to display the fetched data.
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Here's a simple example of how you can display fetched data:
Remember, displaying fetched data is a crucial step in building a GraphQL application, and it's made easy with Apollo Client's useQuery hook.
Mutations for Data Updates
Mutations in GraphQL let you change data on the server, like adding, changing, or removing information.
To use mutations in Next.js with Apollo Client, you can use a simple way to do that, which involves using a mutation like this: Then, use it with your mutation like this.
Sometimes, after you change something with a mutation, the stored data (cache) Apollo Client uses isn't up-to-date anymore. You can fix this by giving an update function when you set up your mutation.
To bring mutations into your project, you need to use the useMutation hook, which gives you a function that you can call to run your mutation. This function is called when you run it.
Any data the mutation sends back is in data, which you can use to update your application.
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Error Handling and Optimization
Error handling is crucial in Next.js GraphQL applications to ensure that errors are caught and displayed to the user in a user-friendly way. This can be achieved by using the `try-catch` block in your GraphQL resolvers.
When a resolver encounters an error, it can rethrow the error, which will then be caught by the `catch` block and handled accordingly. For example, in the "Resolvers" section, we saw how to use `try-catch` blocks to handle errors in resolvers.
In Next.js, you can also use the `errorPage` option in the `next.config.js` file to specify a custom error page that will be displayed to the user when an error occurs. This allows you to provide a more informative and user-friendly error message.
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Updating Cache
You can fix outdated cache data by giving an update function when you set up your mutation. This ensures your cache stays fresh even after making changes.
This is especially useful after you've changed something with a mutation, like adding, changing, or removing information. It prevents your app from showing old data.

To do this, you can use the update function like this: give an update function when you set up your mutation. This keeps your cache up-to-date and running smoothly.
Here are some tips for managing your cache:
- Organize your cache well.
- Use rules to manage your cache better.
- Refresh your cache after changes.
- Keep data in the background ready.
- Deal with old data smartly.
Good caching makes your app quick and efficient, and it's a key part of Apollo Client's built-in caching.
Error Handling
Error Handling is crucial for a reliable app. Dealing with errors well makes your app more reliable.
Use Apollo's errorPolicy to deal with errors in a general way. This is a good starting point for error handling.
Here are some key strategies for effective error handling:
- Use the error from hooks to catch errors in parts of your app.
- Show messages that tell users what went wrong in a nice way.
- Keep track of errors to fix bugs.
- Have a plan for when things go wrong, like trying again.
- Know where errors are coming from - is it your app, the network, or the server?
- Know the difference between a problem with the operation and a bigger system error.
Handling errors well means your app can keep running smoothly even when things go wrong.
Performance and Best Practices
GraphQL is efficient in data fetching, requesting only specific fields from the server, resulting in smaller payloads and faster responses.
Using server-side rendering (SSR) with GraphQL can drastically improve your app's performance, especially when combined with Next.js.
Caching is also a key performance booster, with Apollo Client's InMemoryCache reducing the need to refetch the same data multiple times.
To optimize queries, only request the data you need, and use caching to leverage Apollo's InMemoryCache for faster responses.
Here are some tips for good caching:
- Organize your cache well.
- Use rules to manage your cache better.
- Refresh your cache after changes.
- Keep data in the background ready.
- Deal with old data smartly.
Alpha Improvements
We've seen significant performance boosts with the latest alpha release of Apollo Client 4.0. This release has entered the alpha stage, marking an exciting milestone.
One of the notable improvements is the switch to ESM, modern bundling, and a modern build target. This change has led to a ~25% reduction in bundle size.
More coherent error handling is another key feature in this alpha release. This improvement will help developers catch and resolve issues more efficiently.
The useLazyQuery rewrite is also part of this release, offering a more streamlined approach to lazy queries.
Here are the key improvements in this alpha release:
- switch to ESM, modern bundling and a modern build target
- ~25% reduction in bundle size
- more coherent error handling
- useLazyQuery rewrite
- move to rxjs (from zen-observable)
Best Practices
Optimize your GraphQL queries to only request the data you need, as this can significantly reduce payload size and improve performance.
To avoid over-fetching and under-fetching, implement robust error handling for network issues and invalid queries.
Use caching to reduce the need to refetch the same data multiple times, speeding up your app even further. Apollo Client comes with built-in caching via InMemoryCache.
Organize your cache well, use rules to manage your cache better, refresh your cache after changes, and keep data in the background ready.
Here are some ways to cache data with Apollo Client:
- In-memory cache - This is the default and it keeps data ready to use without asking for it again.
- Cache redirects - This tells your app to use data from the cache instead of getting it again.
- Offline persistence - This saves your data so it's still there when you come back to the app.
- Partial queries - This only asks for the data you don't already have.
To keep your cache up-to-date, give an update function when you set up your mutation. This way, your cache stays fresh even after making changes!
Implement server-side rendering or static site generation to improve load times. Next.js provides built-in support for server-side rendering, and when used with GraphQL, it can drastically improve your app's performance.
Monitor your query times using tools like Apollo's built-in dev tools. This will help you identify areas for improvement and optimize your app's performance.
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