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Frontend50-80 min

TanStack Table Pagination

Use TanStack Table for rendering state, keep pagination in the URL or query key, and request only the current page from the API.

ReactTanStack TableReact Query

Prerequisites

  • A table dataset that can grow beyond one page.
  • An API that accepts page, limit, sort, and filter parameters.
  • A design for loading, empty, and error states.
1

Plan the implementation

Start by choosing the exact page, route, API, or deployment surface you want to improve. A narrow target makes the implementation measurable and easier to verify.

  1. Write down the current behavior and the user-facing problem it creates.
  2. Pick one measurable success signal such as bundle size, latency, error rate, security coverage, or UI responsiveness.
  3. Identify the files, routes, providers, and environment variables involved.
  4. Create a rollback note before changing production-sensitive configuration.
2

Set up the required tools

Install or configure only the tools needed for this implementation. Keep config close to the feature so future developers can find the moving parts quickly.

Implementation snippet
npm install @tanstack/react-table @tanstack/react-query
Checklist
  • Dependencies are added to the correct workspace package.
  • Environment variables are documented in `.env.example` when needed.
  • Local development still starts without production-only secrets.
  • The change is small enough to review in one pull request.
3

Implement the core pattern

  1. Define typed columns for each visible field.
  2. Store page, limit, search, and sort in component state or URL params.
  3. Pass those values into the query key.
  4. Enable manual pagination so the API controls total pages.
  5. Disable next/previous buttons while loading or at bounds.
Implementation snippet
const table = useReactTable({
  data: query.data?.rows ?? [],
  columns,
  manualPagination: true,
  pageCount: query.data?.pageCount ?? -1,
  getCoreRowModel: getCoreRowModel(),
});
4

Handle edge cases

Checklist
  • Large datasets are not fetched entirely into the browser.
  • Sorting and filters reset or preserve page intentionally.
  • The table has accessible headers.
  • Empty and error states fit inside the table layout.
5

Verify before production

  1. Run the app locally and test the normal success path.
  2. Test one failure path, one empty state, and one slow-network or retry path.
  3. Run the project build and any related unit or integration tests.
  4. Check browser console, server logs, and network responses for hidden warnings.
  5. Document the final behavior, commands used, and any follow-up work.

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