TanStack Query

TanStack Query — async state management for server data in React.

App UtilsModerate

Stack Components

Library@tanstack/react-query 5.x

Why

Declarative data fetching, caching, optimistic updates, background refetch. Utility libraries (lodash, date-fns, zod) save 100s of hours of boilerplate.

Zod reached 5M weekly npm downloads in 2024 as runtime validation became essential with TypeScript-first APIs.

When

Use for server state in React. Avoid for local UI state.

How

1. npm install @tanstack/react-query 2. Set up QueryClientProvider 3. useQuery for reads 4. useMutation for writes

Example

const { data } = useQuery({ queryKey: ['todos'], queryFn: fetchTodos, }); // TanStack Query — usage example import { TanStackQuery } from "util2-react-query"; const result = await tanstackquery({ input: "data" }); console.log(result);

Common Problems

⚠Stale data — configure staleTime
⚠Waterfall — use suspense or prefetch
⚠Configuration drift between environments — use infrastructure-as-code (Terraform/Pulumi) to keep dev/staging/prod identical

Best Practices

✓Use queryKey for cache identity
✓Invalidate on mutations
✓Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit

FAQ

What is TanStack Query and what projects is it for?

TanStack Query — async state management for server data in React. It pairs layered technologies for end-to-end type safety and out-of-the-box deploys, fitting everything from MVPs to production SaaS.

How do I spin up a working demo with TanStack Query in 10 minutes?

Two steps: (1) npm install @tanstack/react-query; (2) Set up QueryClientProvider. Get the local dev server running, then wire one real data source to verify the end-to-end loop.

What is the most common pitfall with TanStack Query and how do I avoid it?

The most common pitfall is: Stale data — configure staleTime. Avoid it by adding the matching checklist to your PR template and running type-check + lint + unit tests in CI — three gates before merge.

What are the best practices for TanStack Query?

Best practices for TanStack Query include: Use queryKey for cache identity; Invalidate on mutations; Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit. The first one — "Use queryKey for cache identity" — should be set up at project init to avoid costly rework later.

When should I NOT choose TanStack Query?

Pick something else in three cases: (1) the team has zero experience with the core framework and the deadline is tight (learning-curve risk); (2) it's a pure content/marketing site (Astro is lighter); (3) you need very high throughput (>10k RPS) or strict-consistency microservices (Go/Rust). TanStack Query shines for mid-to-high complexity full-stack and API work — don't over-engineer simple static pages with it.