tanstack-query-best-practices

Implement robust mutation patterns in TanStack Query by utilizing mutation callbacks to update the local cache directly. This approach maintains data integrity and provides responsive UI updates without requiring full refetches.

Handle errors in React Query by integrating error boundaries with query configurations. Implementing centralized error handling within your mutation and query patterns ensures data fetching failures are caught and managed gracefully.

Prefetch data with TanStack Query by triggering queries before navigation or user interaction. This caching strategy loads necessary server state in the background, ensuring immediate UI rendering and smoother performance.

TanStack Query works with SSR in React applications by supporting server state hydration. Integrating SSR prefetching strategies ensures your cached data is initialized correctly on the server and seamlessly transferred to the client.

You need offline support in a React Query setup when your application must maintain functionality without a network. Implementing offline caching strategies and persistent storage ensures mutations and data fetching resume smoothly upon reconnection.