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Graph/stale-state-cache-reuse

AntiPattern

Stale State and Cache

stale-state-cache-reuse

Stale values get reused across retries, intervals, and cached selectors—tokens and retry counters aren’t refreshed, RTK Query returns cached data without reloading, and effect dependencies trigger loops—leading to inconsistent UI, missed requests, and broken retry semantics.

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Public graph metadata

Updated6/24/2026

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30 linked nodes

MATCHESSolution

you can use Zustand getters and optimistic update — multiple or rapid clicks could actually cause the updates to be executed but out of order. Tension: no optimistic update so u see that delay (lag) you said about.

MATCHESSolution

Treat the selected value as a shared reference (avoid unnecessary cloning/deriving new arrays/objects in selectors). If memory pressure occurs, ensure large datasets are not being copied or accidentally retained (e.g., avoid creating new Float32Array/object instances per render; consider weak caching patterns such as WeakMap only for derived mappings).

MATCHESSolution

handle a scenario when the code is fine but backend went offline — prefetching data with usePrefetchQuery. Tension: prefetch works.

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It will be 10 seconds after the previous request completes. — If `refetchInterval` is set to 10 seconds in `useQuery`. Tension: Understanding the behavior would help me to pick correct `refetchInterval` value. Outcome: The timer re-starts every time when data is put into the cache.

MATCHESSolution

make sure that the form component is only rendered after data is ready — Decouple the data fetching component from the form component. Tension: background refetches will not be reflected. Outcome: if your cache already has stale data when `App` mounts, you'll get that data in your state.

MATCHESSolution

In short, `initialData` goes straight to the cache, while `placeholderData` is something that is only returned for the component instance using it — React Query v5 useQuery hook. Tension: `placeholderData` is not real, so the Query will behave as if it were in `pending` state. Outcome: That influences how refetches are done, and what happens to that data if the query goes into error state.

MATCHESSolution

Setting `cacheTime: 0` solved it for me. — I was getting the same issue using `@tanstack/react-query@4.36.1`. Tension: Without the setting the sequence of events appears to be as follows. Outcome: In version 5, `cacheTime` has been renamed to `gcTime`.

MATCHESSolution

You need to make sure that component that needs that deleted resource is no longer is rendering. Tension: then you set the state that hides that element at the same point where you invalidate the query.

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If true, staleness checks for cached data will be bypassed, but missing data will be requested from the server. Tension: Default: false. Outcome: To force full offline mode, use --offline.

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Disable retry — If the issue persists. Tension: it could be because the sdk is getting an error and appear to be hanging while it's retrying. Outcome: You could try disabling the retry and check if there is an error.

MATCHESSolution

you can set the revalidation duration to `0` — fetch("ENDPOINT", { next: { revalidate: 0 } }). Tension: to get new blog posts, you will have to wait until the cache is invalidated. Outcome: If you want to fetch the new blog posts when they're updated immediately.

MATCHESSolution

Use Next.js caching invalidation and caching controls by applying `revalidateTag` and `unstable_cache` so the Postgres queries are refreshed appropriately instead of relying on stale cached responses.

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No ref to prevent redundant state updates — `setState` inside an observer callback that runs on every scroll event. Tension: React still processes the `setState` call even if the value is the same. Outcome: const lastIdRef = useRef(null);.

MATCHESSolution

Persist and rehydrate the complete store state with the exact `RootState` structure (or adjust the `preloadedState` typing/shape to match what you load). Ensure `loadState` returns the full expected state object rather than only `tasks`.

MATCHESSolution

Call each RTK Query hook with the exact same query arguments (or none, if the endpoint takes none) that the fulfilled requests use, and ensure components read the correct hook data/selector result corresponding to those cache entries.

MATCHESSolution

Use RTK Query's `resultEqualityCheck` option in `selectFromResult` to compare the newly selected output with the previous cached output and return the old reference when the selected result is effectively identical, preventing unnecessary re-renders.

MATCHESSolution

Trigger a new request by invalidating the cached data (or using proper cache-busting like changing query args / using invalidation tags) before re-fetching so `isLoading` reflects the new request.

MATCHESSolution

implementing this retry behavior all over the place — axiosInstance.js. Tension: handle the retry logic. Outcome: you could try using a response interceptor to abstract and handle the retry logic.

MATCHESSolution

could re-call just the endpoint. Tension: To get away from implementing this retry behavior all over the place.

MATCHESSolution

Add extraReducers/addMatchers for each mutation endpoint (addTour, editTour, removeTour) to update `state.tour` on `matchFulfilled`, or use RTK Query tags and invalidation so queries refetch and state stays in sync.

MATCHESSolution

on subsequent requests. Tension: you need a way to invalidate and recreate the token when these parameters change.

MATCHESSolution

Use cache-busting query strings on the remoteEntry URL and avoid caching the remote entry

MATCHESSolution

You can also use a static field to maintain the cached object. — Separate methods can be exposed to client. Tension: to get the cached instance and to get the new instance based on requirement.

MATCHESSolution

after the system restarts. Tension: wouldn't it be a waste of DB space if I'm storing millions of tasks that I only ever need to process once. Outcome: store the last offset in cache and then continue processing data from the last checkpoint.

MATCHESSolution

Outcome: cache.clear().

MATCHESSolution

Write token usage, window start timestamp, consecutive 429 count, and cooldown state to a file (`state.json`) on every mutation. — without this, every restart is a full reset. Tension: every restart is a full reset. Outcome: Restore on startup, expiring the window if its timestamp is stale.

MATCHESSolution

Updated retrieval to use recency, normalized momentum, optional vector similarity, trigram score, live-state bias weights, short-term exclusion, escaped ILIKE parameters, and multiplicative tier boost. — Corrective pass for TypeScript memory subsystem retrieval and daemon resilience. Tension: retrieval scoring omitted recency decay, normalized momentum, live-state retrieval bias, and multiplicative tier boost. Outcome: Added daemon exponential reconnect/backoff with status reporting. Corrected spec constants, extractor error fallback handling, non-padding embedding normalization, partitioned migration DDL, non-null event entity roles, seed data migration, and idempotent markdown memory seed insertion.

MATCHESSolution

after each allocation that may trigger GC. Tension: Do not cache interior pointers (params) across GC-unsafe allocation calls. Outcome: Apply same fix pattern to sampled_data_continue.

MATCHESSolution

Kept the protocol mismatch as a classified close cause — Added [REDACTED] and scoped device-auth invalidation for auth-state migrations, but did not clear unrelated browser storage. Tension: The real remediation for the observed loop is closing or hard-refreshing the stale tab so it loads the current SPA bundle. Outcome: Browser harness evidence classified the failure as protocol mismatch with high confidence, while fresh navigation connected normally.

MATCHESSolution

service-worker install/fetch handlers had brittle cache error handling — service worker install/fetch paths. Tension: brittle cache error handling. Outcome: tolerant precache and explicit offline responses.

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