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Graph/cache-key-mismatch

Pattern

Stale Cache Key Mismatches

cache-key-mismatch

Cache updates and invalidations fail because query inputs, context bindings, and identifier names don’t line up, so mutations write to or read from the wrong cache entries (or no entry at all), leaving UI state inconsistent.

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Updated7/18/2026

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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.

Updating `storagePolicySettings` in a Zustand store does not work as expected when using `set((state) => ({ ...state, storagePolicySettings }))` after fetching data.

Calling setAuthToken updates the internal value but components using authToken do not reflect the change and the UI/state appears stale.

Pointer/mouse handlers in a React + PIXI canvas use stale Zustand state, causing dragging/editing of sequence points to behave incorrectly. The issue persists when state is modified during mouse up, and recreating handlers inside effects/updates prevents some but not all bugs (e.g., cannot drag twice).

A Zustand store value (e.g., currentUser) logs as null on first access, but becomes correct after a rerender. This suggests the expected persisted data hasn’t finished loading yet.

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

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

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

not sure how I would go about testing the queryCache and mutationCache inside of the queryClient — I'm trying to unit test Tanstack's queryClient. Tension: I don't have a clue as to where to start. My test suite is pinging the lines that have comments below. Outcome: Don't test the library. It has its own tests.

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

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.

the cache doesn't work across processes — workers might be pre-forked. Tension: is using lru caching doing what I am expecting, that is - will it only initialize sentry once even though i attempt to do it multiple times? Outcome: provided it's called within the same process.

I've noticed I've several caches that maybe don't need to be created. — I'm using the cache action in GitHub Actions workflows. Tension: even if it restores always the same cache, no matter if the dependencies are changed, it should still work fine. Outcome: it mostly depends on how different and big these caches are.

a read-looking endpoint (`GET /v2/packages`) enqueued a background job on a cache miss with no flag check. Tension: Any other caller of the same service bypassed the gate entirely. Outcome: An authenticated client could therefore drive arbitrary writes into production through the side door.

unstable_cache doesn't really cache anything

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.

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`.

Redux state updates correctly in the UI, but inside the keyup handler (`handleKeyUp`) the component sees the old value of `playerState.isMenuUIVisible`. As a result, conditional logic (e.g., Escape handling) doesn’t run when expected.

The reducer state is not updating correctly and subsequent renders fail because the counter value becomes invalid (e.g., NaN) instead of changing from its initial value.

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.

Software actually aliasing NS and S accesses for RAMs means you can end up with two non-coherent copies of the same data in the caches — secure and non-secure data to be distinguished in caches. Tension: which can desync because of the lack of coherency. Outcome: This is why secure world page tables can be set up with NS=1 pages.

NVD API requests intermittently return "Invalid API key" after years of working

Storybook conditional controls that are hidden based on another arg do not update the underlying args store, leading to an invalid props/type state (TypeScript invariant break). Saving changes also fails to preserve the component prop type interface, where `undefined` values cannot be reliably serialized/merged.

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.

I would also like to add observability using a micrometer to the cache. — using SpringBoot, Spring cache, and Caffeine. Tension: Being able to see cache miss. cache hit, is a must. Outcome: I tried to write the following code:.

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.

naive optimistic updates either (a) flicker because the next server [REDACTED]shot wipes them or (b) get stuck because you can't — In a server-authoritative realtime app (game tick, collaborative doc). Tension: the next server [REDACTED]shot wipes them. Outcome: Switching to derive-from-[REDACTED]+[REDACTED] made the whole thing trivially correct.

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