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Graph/query-cache-reset-on-parameter-change

Pattern

Query Cache Reset on Param Change

query-cache-reset-on-parameter-change

Query state gets cleared or fails to hydrate when request parameters change or required hook options are omitted—causing suspended/unavailable data, lost UI continuity during edits, missing polling, and inconsistent URLs/date-range behavior.

Node Details

Public graph metadata

Updated7/2/2026

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30 linked nodes

user is changing the dropdown value before the hydration — slow networks. Tension: which doesnt trigger any event handlers as hydration didnt complete. Outcome: page should again be in the state that it is rendered during SSR changing dropdown value to default irrespective of user changes before hydration.

Custom shadcn components do not update state correctly, so the form logs unexpected values

the name and email dont get updated to the correct defaults — if I manually refresh the page. Tension: it takes about 0.5 seconds for the useSession to update the session with current user session. Outcome: how do I force my useForm hook to re-initialize?

Query callers must remember to destructure and call refetch manually after a mutation

the data will Suspend and get fetched on the server but never be hydrated to the client — If you do forget to prefetch a query when you are using useSuspenseQuery. Tension: the consequences will depend on the framework you are using.

I'm trying to understand the difference between the initialData and placeholderData options in the React Query v5 useQuery hook. — in the React Query v5 useQuery hook. Tension: I'm unclear on when to use each of these options. Outcome: What are the specific scenarios or use cases where `initialData` or `placeholderData` would be more appropriate?

The user attempted to call `trpc.*.useQuery` inside a `useEffect` and then set state from `clientQuery.data`, which is an incorrect hook usage pattern. They were concerned that `useQuery` (a hook) cannot be used inside another hook.

No overload matches this call. — using "useInfiniteQuery" with React. Outcome: Try to add `initialPageParam: 1,`.

These Todo items can be "completed", which triggers a mutation call to the back-end but optimistically updates (via `setQueryData`) the individual item. Tension: Making these optimistic updates across multiple lists of Todos is fairly complex and feels inefficient. Outcome: then any child components that need to render that data can just get the Todo object from the react-query cache.

When a React Query error triggers a redirect to /login, the browser URL updates but the rendered content does not change to the login page until the user manually interacts with the page.

the query does not invalidate after a successful transaction. Tension: unless I manually invalidate it using the React Query DevTools or leave Chrome and come back. Outcome: which then triggers the invalidation (update).

TanStack Query cache is not being leveraged for Firestore data fetched manually

vue-query hooks can only be used inside setup() function or functions that support injection context. — Whenever I try to call useQuery inside a function. Tension: I need to query an API as a side-effect of an action. Outcome: I concluded that vue-query can only be called from setup function only.

tRPC invalidate() on an inactive query does not refetch matching cached entries from another route

useQuery({ queryKey: ["dates"], queryFn: getDates, });. Tension: the initial value is only set on the first render.

A React Query mutation's state (e.g., loading/error/success) needs to be observed from a different component than the one that triggered the mutation.

I am trying to cache the response of a query inside a server action file — export async function getCachedSession(userCacheToken: string, token: string) {. Tension: "use cache";. Outcome: I keep running into an.

GET API responses appeared stale on Vercel: after adding new data and refreshing, the page still showed old results and new entries didn’t appear immediately. Adding `cache: 'no-store'` to the API request fixed the issue at the time.

In a Next.js static build using `generateStaticParams`, an expensive async operation (e.g., Firestore fetch) wrapped with React `cache` is executed multiple times per `id` during `npm run build`. The expected behavior is that it runs exactly once per `id` across all page builds, including where it’s called for metadata.

unstable_cache doesn't really cache anything

How to take RTK Query endpoint results, persist them as historical data for graphing, and also keep the normal RTK Query caching behavior. The user wants to “intercept” fulfilled query results inside the RTK Query flow rather than using component hooks.

In RTK Query, after performing a mutation (e.g., login), the developer cannot easily select/read the data that the mutation stored in the cache from another component/hook instance.

Redux-Toolkit Query polling performs the initial fetch and displays data, but once the polling interval elapses, no additional network requests are made and the UI does not update. Manual refetch works correctly.

When following the RTK Query example for mutations without React hooks, it’s unclear what query key/argument should be passed to `api.util.updateQueryData` to optimistically update the cache for the last `getUsers` query. The snippet appears inconsistent about using `id` vs `count`.

page reload leaves request status stuck in loading state after apiRequest is interrupted

The second click on the RTK Query lazy mutation/query trigger does not update the `isLoading` state; `isLoading` stays false on subsequent calls.

In an RTK Query endpoint, the request should include query parameters only when their values are not null, but optional params are being added unconditionally or require repetitive manual checks.

Navigating from the first question to the next updates the URL search parameter (e.g., `/ort?id` from 1 to 2), but the new question component content does not load until the page is manually rebooted.

Using `unstable_cache` in a Next.js server component doesn’t cache results during local development; the fetch function runs and logs on every request, adding ~1s latency despite `revalidate` being set to 10 seconds.

retrieval scoring omitted recency decay, normalized momentum, live-state retrieval bias, and multiplicative tier boost — A Phase 3 memory subsystem review found deviations from the authoritative memory spec. Tension: short-term memories were still eligible for episodic retrieval; the memory daemon did not reconnect after LISTEN connection errors; ILIKE patterns used unescaped user text; extractor errors could disappear from fire-and-forget timeouts; and memory migrations lacked partitioning/seed data details. Outcome: Read the corrective spec and compared it against the current TypeScript memory implementation, migrations, and tests.

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