How to use the React-Query library for polling data with exponential backoff



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To use the React-Query library for polling data with exponential backoff, you can utilize the useQuery hook along with the staleTime and retry options. Here's how you can achieve this:

  1. Install React-Query: If you haven't already, install React-Query in your project.
bash
npm install react-query
  1. Set Up Your Query: Define your query function using the useQuery hook. Configure the staleTime option to control how often the data should be considered stale, and set up the retry option to handle retries with exponential backoff.
javascript
import { useQuery } from 'react-query'; const fetchData = async () => { const response = await fetch('https://api.example.com/data'); if (!response.ok) { throw new Error('Network response was not ok'); } return response.json(); }; const MyComponent = () => { const { data, error, isLoading, isError } = useQuery('myData', fetchData, { staleTime: 30000, // 30 seconds retry: (failureCount, error) => { // Implement exponential backoff return Math.min(2 ** failureCount * 1000, 30000); // Max interval 30 seconds }, }); if (isLoading) return <div>Loading...</div>; if (isError) return <div>Error: {error.message}</div>; return ( <div> {/* Render your data */} </div> ); };

In this example:

  • The fetchData function fetches data from an API endpoint.
  • The useQuery hook is used to fetch and manage the data. It accepts a query key ('myData'), the query function (fetchData), and options.
  • The staleTime option determines how long the data remains fresh before it's refetched. Here, it's set to 30 seconds.
  • The retry option defines a retry function that implements exponential backoff. The function receives the failure count and error object as arguments and returns the delay in milliseconds before the next retry.
  1. Use the Data in Your Component: Render the data in your component once it's available.

With this setup, React-Query will handle polling the data with exponential backoff, ensuring that it retries fetching the data with progressively longer intervals in case of failures. This helps prevent overloading the server with frequent requests and improves the resilience of your application.