⚡ Bolt: Optimize array filtering with useMemo in UI components#467
⚡ Bolt: Optimize array filtering with useMemo in UI components#467
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…enders Wrapped `games.filter(...)` operations in `library.tsx`, `wishlist.tsx`, and `AppSidebar.tsx` with `useMemo` hooks. This prevents O(n) array recalculations on every component render, improving performance and avoiding UI jank. Co-authored-by: Doezer <11655673+Doezer@users.noreply.github.com>
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Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly improves application performance by introducing memoization to frequently accessed and re-rendered UI components. By wrapping expensive array filtering operations in Highlights
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Code Review
This pull request correctly introduces useMemo to optimize array filtering in several components, preventing unnecessary recalculations on re-renders. This is a good performance improvement. My review includes a suggestion for AppSidebar.tsx to further optimize the calculation by combining two separate array iterations into a single pass using reduce, which will make it even more efficient.
| const libraryCount = useMemo(() => { | ||
| return games.filter((g) => | ||
| ["owned", "completed", "downloading"].includes(g.status) | ||
| ).length; | ||
| }, [games]); | ||
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| const wishlistCount = useMemo(() => { | ||
| return games.filter((g) => g.status === "wanted").length; | ||
| }, [games]); |
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While wrapping these calculations in useMemo is a great optimization, we can make this even more efficient. Currently, you are iterating over the games array twice (once for libraryCount and once for wishlistCount). You can combine these into a single iteration using Array.prototype.reduce to calculate both counts in one pass. This will be more performant, especially as the number of games grows.
const { libraryCount, wishlistCount } = useMemo(() => {
return games.reduce(
(counts, g) => {
if (["owned", "completed", "downloading"].includes(g.status)) {
counts.libraryCount++;
} else if (g.status === "wanted") {
counts.wishlistCount++;
}
return counts;
},
{ libraryCount: 0, wishlistCount: 0 }
);
}, [games]);
References
- To optimize array processing, combine multiple iterations into a single pass where possible, for instance by using
reduceafter initial filtering and sorting, to avoid redundant traversals.
Codecov Report✅ All modified and coverable lines are covered by tests. 📢 Thoughts on this report? Let us know! |
1 participant
💡 What:
Wrapped several
games.filter(...)array operations insideuseMemohooks in key components (AppSidebar,library.tsx, andwishlist.tsx). Added the necessary imports as well.🎯 Why:
Previously, these components were re-evaluating the
gamesarray filtering on every render. Because these are frequent or top-level components (e.g.,AppSidebarhandles polling for downloads), this unmemoized O(n) operation could cause performance jank and slow down the app as the user's game library grows.📊 Impact:
Reduces main thread blocking by avoiding O(n) recalculations on every render. The lists will now only be recalculated when the underlying
gamesarray from the query cache actually changes.🔬 Measurement:
Run
npm run lintandnpm test(both pass) to verify that the logic remains correct. You can use React Developer Tools Profiler to observe that the filter functions are no longer re-invoked on state changes unrelated togames.PR created automatically by Jules for task 9353282455376142549 started by @Doezer