What is a TanStack query?
TanStack query is a library for managing and caching asynchronous data in Reactjs developments Service. It provides a declarative API for fetching and caching data that minimizes boilerplate and makes it easy to compose queries. With TanStack query, you can easily handle complex data requirements such as pagination, caching, optimistic updates, and more.
Why should we use TanStack query?
There are several benefits to using TanStack query in your application. Firstly, it simplifies the process of fetching and caching data, reducing the amount of boilerplate code you need to write. Secondly, it improves the performance of your application by using smart caching strategies that reduce the number of network requests. Finally, it allows you to easily handle complex data requirements such as pagination, optimistic updates, and more.
What is the best way to implement the TanStack query?
Actually there’s no best way but there is always a better way to implement the TanStack query and it depends on your specific application requirements.
However, some general best practices include:
- Use the useEffect() hook to fetch data when the component mounts, and then use TanStack query's useQuery() hook to manage the data.
- Use TanStack query's caching functionality to reduce the number of network requests.
- Use TanStack query's built-in loading and error states to provide a great user experience.
- Consider using TanStack query's pagination and infinite scrolling functionality to handle large datasets efficiently.
Make use of TanStack query's mutations API for managing data updates in your application, which technology supports making applications better using tanstack query.
Here is tech stack for build better Web applications
- TanStack query
- Prisma ORM
- Axios
- Next.js Developers
- ZOD
- MUI
- PostgreSQL
Here are some amazing features of tanstack query
- Protocol/backend agnostic data fetching (REST , GraphQL, promises, etc.)
- Auto Caching + Refetching (stale-while-revalidate , Window Refocus, Polling/Realtime)
- Parallel + Dependent Queries
- Mutations + Reactive Query Refetching
- Multi-layer Cache + Automatic Garbage Collection
- Paginated + Cursor-based Queries
- Load-More + Infinite Scroll Queries w/ Scroll Recovery
- Request cancellation
- React Suspense + Fetch-As-You-Render Query Prefetching
Here some notes it’s help you to handle operations
1. Importing and basic usage:
import { useQuery } from '@tanstack/react-query';
const { isLoading, data, error } = useQuery('query_key', async () => {
const response = await fetch('api_url');
return response.json();
});
2. Manual Query Refetching:
const { isLoading, data, error, refetch } = useQuery('query_key', async () => {
const response = await fetch('api_url');
return response.json();
});
<button onClick={() => refetch()}>Refetch data</button>
// Dependent Queries:
const { isLoading, data, error } = useQuery('query_key_1', async () => {
const response = await fetch('api_url_1');
return response.json();
});
const { isLoading: isLoading2, data: data2, error: error2 } = useQuery('query_key_2', async () => {
const response = await fetch(`api_url_2/${data.id}`);
return response.json();
}, {
enabled: !!data,
});
3. Caching:
const { isLoading, data, error } = useQuery('query_key', async () => {
const response = await fetch('api_url');
return response.json();
}, {
cacheTime: 3000, // Cache time in milliseconds
});
4. Polling:
const { isLoading, data, error } = useQuery('query_key', async () => {
const response = await fetch('api_url');
return response.json();
}, {
refetchInterval: 5000, // Refetch interval in milliseconds
refetchIntervalInBackground: true, // Refetch in background even if tab is inactive
});
5.Query Pagination:
const { isLoading, data: pageData, error, isFetching, fetchNextPage } = useInfiniteQuery('query_key', async ({ pageParam = 0 }) => {
const response = await fetch(`api_url?page=${pageParam}`);
return response.json();
}, {
getNextPageParam: (lastPage, allPages) => lastPage.nextCursor, // Optional for cursor-based pagination
});
<button onClick={() => fetchNextPage()}>Load more</button>
How to integrate react tanstack query using next js ?
Step 1: Install Dependencies
Make sure you have the required dependencies installed. You'll need react, react-dom, next, and @tanstack/react-query packages. You can install them using npm or yarn:
npm install react react-dom next @tanstack/react-query
Step 2: Set up a Next.js Project
Create a new Next.js project if you haven't already:
npx create-next-app my-app
cd my-app
Step 3: Create a Custom App Component
Inside the pages directory, create a new file called _app.js (or _app.tsx if using TypeScript). This file will serve as the custom Next.js App component. Import the required dependencies and wrap your application with the QueryClientProvider:
import { QueryClient, QueryClientProvider } from '@tanstack/react-query';
const queryClient = new QueryClient();
function MyApp({ Component, pageProps }) {
return (
<QueryClientProvider client={queryClient}>
<Component {...pageProps} />
</QueryClientProvider>
);
}
export default MyApp;
Step 4: Use useQuery Hook
In your actual page component, import the useQuery hook from @tanstack/react-query. This hook allows you to fetch and manage data using the tanstack query library. Here's an example of how to use it:
import { useQuery } from '@tanstack/react-query';
function MyPage() {
const { isLoading, isError, data, error } = useQuery('myData', async () => {
// Fetch data from an API endpoint
const response = await fetch('/api/data');
if (!response.ok) {
throw new Error('An error occurred while fetching the data');
}
return response.json();
});
if (isLoading) {
return <div>Loading...</div>;
}
if (isError) {
return <div>Error: {error.message}</div>;
}
return (
<div>
<h1>Data:</h1>
<pre>{JSON.stringify(data, null, 2)}</pre>
</div>
);
}
export default MyPage;
In the example above, the useQuery hook is used to fetch data from an API endpoint (/api/data). While the query is in progress, the isLoading flag will be true. If an error occurs during the fetch, the isError flag will be true and the error message will be available in the error object. Once the data is successfully fetched, it will be available in the data object.
Step 5: Start the Next.js Development Server
You can now start the Next.js development server and visit your page:
npm run dev
Open your browser and navigate to http://localhost:3000 to see your page in action. The useQuery hook will automatically manage the fetching and caching of your data.
Remember to adjust the API endpoint and data handling in the useQuery example according to your specific needs.
How to use tanstack query with server side rendering in next js ?
To use tanstack
query with server-side rendering (SSR) in Next.js, you can leverage Next.js's getServerSideProps
function along with the QueryClient
and Hydrate
components from @tanstack/react-query
.
Here's an example of how you can implement server-side rendering with tanstack
query in Next.js:
Step 1: Install Dependencies
Make sure you have the required dependencies installed. You'll need react
, react-dom
, next
, and @tanstack/react-query
packages. You can install them using npm or yarn:
npm install react react-dom next @tanstack/react-query
Step 2: Create a Custom App Component
Inside the pages
directory, create a new file called _app.js
(or _app.tsx
if using TypeScript). This file will serve as the custom Next.js App component. Import the required dependencies and wrap your application with the QueryClientProvider
:
import { QueryClient, QueryClientProvider } from '@tanstack/react-query';
const queryClient = new QueryClient();
function MyApp({ Component, pageProps }) {
return (
<QueryClientProvider client={queryClient}>
<Component {...pageProps} />
</QueryClientProvider>
);
}
export default MyApp;
Step 3: Create a Page Component
Create a new page component where you want to implement server-side rendering. For example, create a file called index.js
(or index.tsx
if using TypeScript) inside the pages
directory. Import the necessary dependencies and use the getServerSideProps
function to fetch the initial data on the server:
import { useQuery, QueryClient, QueryClientProvider } from '@tanstack/react-query';
import { Hydrate } from 'react-query/hydration'; // Import the Hydrate component
const queryClient = new QueryClient();
function MyPage() {
const { isLoading, isError, data, error } = useQuery('myData', async () => {
// Fetch data from an API endpoint
const response = await fetch('/api/data');
if (!response.ok) {
throw new Error('An error occurred while fetching the data');
}
return response.json();
});
if (isLoading) {
return <div>Loading...</div>;
}
if (isError) {
return <div>Error: {error.message}</div>;
}
return (
<div>
<h1>Data:</h1>
<pre>{JSON.stringify(data, null, 2)}</pre>
</div>
);
}
export async function getServerSideProps() {
// Instantiate a new query client
const ssrQueryClient = new QueryClient();
// Pre-fetch the initial data and cache it using the query client
await ssrQueryClient.prefetchQuery('myData', async () => {
const response = await fetch('/api/data');
if (!response.ok) {
throw new Error('An error occurred while fetching the data');
}
return response.json();
});
// Serialize the query client's state to pass it to the client-side
const dehydratedState = ssrQueryClient.dehydrate();
return {
props: {
dehydratedState,
},
};
}
function IndexPage({ dehydratedState }) {
return (
<QueryClientProvider client={queryClient}>
{/* Hydrate the query client with the serialized state */}
<Hydrate state={dehydratedState}>
<MyPage />
</Hydrate>
</QueryClientProvider>
);
}
export default IndexPage;
In the example above, the getServerSideProps
function is used to fetch the initial data on the server. The ssrQueryClient.prefetchQuery
method is used to fetch the data and cache it using the query client.
On the client-side, the Hydrate
component is used to hydrate the query client with the serialized state received from the server. This ensures that the client-side query client has the pre-fetched data available, allowing for a smooth transition between server-side rendering and client-side rendering.
Step 4: Start the Next.js Development Server
You can now start the Next.js development server and visit your page
npm run dev
Open your browser and navigate to http://localhost:3000
to see your page in action. The useQuery
hook will automatically manage the fetching and caching of your data on both the server and the client.
Remember to adjust the API endpoint and data handling in the useQuery
and getServerSideProps
examples according to your specific needs.
Here is example of tanstack query with Next js and tailwind css
GitHub Link
Top comments (3)
How may fetch in app directory with React Query in nextjs latest version?
If you are using fetch call in you SSR component
then use like this
and after you can use this data for your operation if you need to refetch then you can use here refetch function which provide by tanstack react query.
Hey @ultroneoustech thank you for the content and type of quality work you have done. It's help a lot I have been looking this kind content for my recent projects.
Thank you