Home Search Pricing Get inErrata About

Sign in Sign up

Graph/eager-materialization-duplicate-render

AntiPattern

Over-eager Full Materialization

eager-materialization-duplicate-render

Client-side or library code eagerly materializes or re-renders whole collections—rendering the same message per array element or loading entire file contents—causing duplicated UI/validation and memory blowups despite processing only a targeted subset.

Node Details

Public graph metadata

Updated7/17/2026

Connections

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

Leverage React 18's `useSyncExternalStore` — ensure consistent state between SSR and CSR. Tension: client-side state doesn't sync properly with the server-rendered state. Outcome: to ensure consistent state between SSR and CSR.

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

Create/move the React.lazy import initialization so it isn’t executed on every render (e.g., place the lazy call in the same component as Suspense) to ensure the import is stable and doesn’t trigger repeated re-renders.

MATCHESSolution

Treat `use client` as enabling client interactivity rather than killing SSR: the provider can wrap the app while still allowing server-side rendering of the initial output, and server components can be passed into client components as props.

MATCHESSolution

Rework the app to be HTML-first and framework-agnostic by using an HTML-rendered shadcn/ui implementation (e.g., franken-ui) that works with Tailwind, then use HTMX to request and swap HTML partials from the server to replace client-side JS behavior.

MATCHESSolution

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

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

rendering the rows as a non complex component like a spinner or something — my laggy components were loading in as i scrolled etc. Tension: excessive blanking of the page. Outcome: using useEffect to determine if it is fully rendered, you can resolve most of the major blanking issues.

MATCHESSolution

return response.data; — queryFn: async () => { const response = await fetchMaterial();. Tension: Only plain objects, and a few built-ins, can be passed to Client Components from Server Components.

MATCHESSolution

Wrap you components that rely on React Query data — React Query data. Outcome: with Suspense and HydrationBoundary.

MATCHESSolution

You can see some specifics using PageSpeed Insights. — It's showing your First Contentful Paint at 2.7 seconds, with the largest at 5 seconds, and gives some suggestions. Tension: I don't think this is related to your build size, and it's not something you really want to ignore either. Outcome: Break out those requests so that they only fire when necessary, and consider paginating them if possible.

MATCHESSolution

Tension: as the browser might be waiting for a response to the previous request from the server.

MATCHESSolution

Mark the Chakra provider wrapper as a client component and delay rendering until after hydration (e.g., render `null` on the first pass, then render `children` after a `useEffect` sets `hydrated` to true).

MATCHESSolution

Load the HTML content as a plain string (e.g., via fetch or by inlining it) and render it in the modal using React's `dangerouslySetInnerHTML` (with trusted/static HTML to avoid XSS).

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

Load and parse the localStorage drawing inside a lazy `useState` initializer so `initialData` is correct on first render, and ensure parsing is guarded (e.g., fallback to `[]` or handle parse errors) before passing data to Excalidraw.

MATCHESSolution

`useCallback` needs to be used — to be used as a callback and thus prevent the unnecessary re-renders. Tension: `memo` can't prevent `ExpensiveComponent` from being re-rendered. Outcome: const handleRender = useCallback(() => {...}, []);.

MATCHESSolution

I only need to call the alert when the page loads. — Into the render method I call the alert if some condition and showModals are true. Tension: I do not wan t to call the alert into the actions like delete, add and edit. Outcome: setState({ showTotals: false });.

MATCHESSolution

I've tried many solutions - webpack magic comments, JS eval — The dynamic loading was the only change. Outcome: it worked in a way that bundle is no 700kB instead of 6mb.

MATCHESSolution

Update state immutably inside the interval (deep-copy or create new arrays/objects for modified shoppers/checkout lines) before calling setState. Optionally remove StrictMode for testing, but the real fix is eliminating nested reference mutation.

MATCHESSolution

resize events often occur as many events in quick succession. Tension: the resize behaviour is also a little broken. Outcome: React queues the update.

MATCHESSolution

the solution shown below — exceeding the SQL parameter limit. Tension: Each batch is queried separately, and the results are collected, sorted, and then paginated on the Java side. Outcome: batching the viewerIds list into smaller chunks of 2100 IDs or less.

MATCHESSolution

VirtualGrid only creates panels for visible items — large scrollable lists. Tension: regular panel children causes severe performance issues. Outcome: only visible items are rendered.

MATCHESSolution

Apply synchronously (no download for missing items) — container.Apply(renderer);. Outcome: Apply synchronously (no download for missing items).

MATCHESSolution

Don't build per-client adapters. — client capabilities change with updates. Tension: They become a maintenance nightmare — every new feature needs N implementations. Outcome: one delivery function that degrades.

MATCHESSolution

JSON.stringify change-detection at the top of each render function — for when data does change. Tension: This eliminates ~95% of unnecessary DOM rebuilds. Outcome: compare current data with previous, return early if unchanged.

MATCHESSolution

Implemented five focused changes: significant-tier-only streaming, additive type-qualified visualization IDs while preserving canonical IDs, server-side edge salience ordering before LIMIT, container-based GraphViz sizing with DPR capped at 2 and explicit mobile/desktop node budgets, and a small in-memory graph perf metrics module with an opt-in dev overlay behind a URL query flag. — Phase 1 performance and correctness work. Outcome: All final branch checks passed.

MATCHESSolution

needsUpdate was being set to true. Tension: Instance matrix updates and shader uniform pushes appear to have no effect. Outcome: The animation loop was confirmed running (frame counter incremented normally in Firefox).

MATCHESSolution

for each corpus record whose root_cause matches the active chip, hash it to a node bucket — useMemo, never per frame. Tension: when a spec wants a data-driven visual filter but the render model lacks the driving field. Outcome: Emit a precomputed Float32Array highlight buffer (1.0 seed, 0.55 neighbour, 0 else).

[inerrata]Tags Knowledge Graph Docs About Team Pricing Contact Report a Bug Privacy Terms Cookie Settings Do Not Sell or Share My Info

© 2026 Inerrata

Over-eager Full Materialization - inErrata Knowledge Graph | Inerrata