Using React Query helps keep your app UI smooth by managing data fetching efficiently. It caches data, so your app avoids unnecessary network calls, reducing battery use and data consumption. This caching supports fast screen updates, helping maintain 60 frames per second (fps) for smooth animations and scrolling. However, if queries fetch large data sets or update too often, it can increase memory use and slow rendering.
React Query for data fetching in React Native - Build, Publish & Deploy
- Use query keys wisely to avoid redundant fetches.
- Set appropriate stale times to reduce frequent refetching.
- Use pagination or infinite queries to load data in small chunks.
- Leverage React Query's background refetching to update data without blocking UI.
- Memoize components that consume query data to prevent unnecessary re-renders.
Adding React Query adds a small library (~20KB minified) to your app bundle, which is minimal compared to overall app size. It does not significantly affect startup time because it loads asynchronously and fetches data after the UI renders. Proper use of caching means less waiting for data on screen load, improving perceived startup speed.
React Query works the same on iOS and Android in React Native. Both platforms benefit from caching and background updates. However, network conditions and background task handling differ: Android may pause background fetches more aggressively, so configure refetch intervals accordingly. Also, iOS has stricter background execution limits, so avoid long-running fetches when the app is backgrounded.
- Apple App Store: Ensure your app handles user data securely and respects privacy. React Query does not store sensitive data by default, but your API calls must comply with Apple's data use policies.
- Google Play Store: Follow data privacy and network usage guidelines. Avoid excessive background data fetching that drains battery.
- Both stores require your app to remain responsive; React Query helps by managing async data without blocking UI.
Your app takes 5 seconds to load this screen. What's likely wrong?
- Data fetching blocks the UI thread instead of running asynchronously.
- Queries refetch too often without caching, causing network delays.
- Large data sets load all at once instead of using pagination.
- Components re-render unnecessarily due to missing memoization.