TanStack Table

Server-side paginated data tables with TanStack Table coordinate pagination, filtering, and sorting through your API backend. Use TanStack Query to manage server state, TanStack Table for column and row logic, and pass pagination flags explicitly to your endpoint. This pattern reduces client-side load and handles large datasets efficiently.

Yes, virtualization with TanStack Virtual renders only visible rows in the viewport, enabling smooth performance with 10,000+ rows. Combine it with TanStack Table's row model and lazy-load data from your server to maintain fast interactions on large datasets.

TanStack Table is framework-agnostic and works with any backend, including Cloudflare Workers and D1. Implement server-side pagination and filtering in your Worker endpoint, use TanStack Query to fetch and cache results, and synchronize table state with URL parameters for persistent user navigation.

Common pitfalls include infinite re-renders from unstable query keys, state mismatches between client and server pagination, missing error handling for failed requests, and client-side filtering of server-paginated data. TanStack Table with stable query-key patterns, explicit server flags, and comprehensive error prevention prevents these issues.

Store pagination, sorting, and filtering state in URL search parameters using libraries like query-string or URLSearchParams. Pass these parameters to TanStack Query's query key and server endpoint, then update the URL when table state changes. This pattern enables shareable links and browser back/forward navigation.

TypeScript is not required but is strongly recommended for data tables. TanStack Table v8 provides excellent TypeScript support with generic column definitions and row data types, preventing runtime errors in server requests, API responses, and table rendering logic.