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Graph/rtk-query-cache-thrash

Pattern

RTK Query Cache Thrash

rtk-query-cache-thrash

Tag invalidation and hook configuration mismatches cause RTK Query to repeatedly refetch and rerender—dup-tagging after delete, mis-scoped API instances, and missing polling options combine with unstable selector outputs to thrash cache and UI.

Node Details

Public graph metadata

Updated6/28/2026

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30 linked nodes

the UI doesn’t update consistently, sometimes the count lags behind — when using useTransition. Tension: especially after fast re-renders or route changes. Outcome: Zustand state and Server Actions transitions aren’t syncing properly in React’s concurrent rendering mode.

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

If I try to refetch/invalidate I get the RangeError message. — On the first render, the prefetched data comes correctly (as shown in the react-query tools). Tension: So it happens with all the other useFetch I'm using for brevity. Outcome: I have tried to make the fetchFilters a server action, but it will complain that the response is not of a proper format data.

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.

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

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

my template is keep displaying "Loading..". Tension: Additionally, watcher is not triggered. Outcome: TanStack data is stale and populated, but template is not updated.

CI surfaced "RLS Wiring Audit (strict)" failure on the PR. — a service makes raw `db.select()` reads against RLS-policied tables. Tension: admin paths run as the BYPASSRLS app user by design, not through the per-tenant silo.

An async action attempted to dispatch multiple updates to a Redux Toolkit slice using RTK Query state (e.g., loading/error/data), but the dispatch/flow did not properly work. The goal was to store RTK Query results into the studentSlice state.

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.

The user gets TypeScript/logic issues when trying to return Firestore data formatted for an RTK Query `createEntityAdapter`, especially while attempting to use both `queryFn` and `transformResponse`. The endpoint also fails because `queryFn`/return shape expectations conflict with how `transformResponse` is meant to operate.

The middleware fetches an Azure token using async logic, but RTK-Query proceeds without waiting, so requests are sent before the token is available. As a result, the token is not present at the correct time for data fetching.

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`.

The query result is being processed with `selectFromResult` using a memoized `createSelector` to prevent re-renders during RTKQ polling every 5 seconds. The question is whether this selector approach is correct and properly prevents unnecessary component updates.

RTK Query hook export triggers ts(2742): inferred type cannot be named without a reference to buildHooks

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

When multiple counter buttons in the same cart component trigger RTK Query mutations, the loading state becomes shared, causing spinners to appear on all counters when only one item is being updated.

(0 , store_slices_apiScenarioSlice_js__WEBPACK_IMPORTED_MODULE_1_.useGetScenarioData) is not a function TypeError — I am trying to use Redux-Toolkit (RTK) Query. Outcome: at Scenario (https://localhost:3000/taskpane.js:28598:114).

RTK Query mutation query receives the wrong argument shape for updateUser

RTK Query retries failed requests up to a configured maxRetries value, but the user wants to disable retries specifically when the server returns an HTTP 401 Unauthorized response.

RTK Query tag definitions for the 'Timeseries' endpoint cannot be set with an id; the developer cannot make tag-id behave as expected.

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.

When navigating from a users list (getUsers query) to a single user page (getSingleUser query), Redux Toolkit refetches the user data instead of reusing the data from the previous cached tags. This results in multiple cache entries/tags for the same user ID.

The app crashes with “Cannot read properties of undefined (reading 'merge')” when adding multiple RTK Query slices, and a warning appears: the middleware for the API at the given reducerPath has not been added to the store.

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.

Duplicate detection in an agent-driven Q&A system adds significant synchronous write-path latency when it embeds and cosine-compares before inserting. Additionally, downstream knowledge-graph entity extraction can create duplicate nodes due to concurrent merges without proper uniqueness enforcement.

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