⚡ Bolt: Optimize schedule filtering to use Set for O(1) lookups#234
⚡ Bolt: Optimize schedule filtering to use Set for O(1) lookups#234anyulled wants to merge 2 commits into
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Code Review
This pull request optimizes the session filtering logic in ScheduleContainer.tsx by utilizing a Set for membership checks, improving the time complexity from O(N*M) to O(N+M). Additionally, the documentation in .jules/bolt.md was updated to reflect this optimization. Feedback was provided regarding the documentation change, noting that the new entry replaced existing content instead of being appended, which leads to a loss of historical context.
| ## 2025-05-20 — Schedule Filter Optimization | ||
| **Learning:** Found a common anti-pattern where `Array.prototype.includes()` was used inside `Array.prototype.filter()`, leading to O(N*M) time complexity when filtering large session arrays based on user saved IDs. | ||
| **Action:** Always convert lookup arrays to a `Set` outside the loop and use `Set.has()` for O(1) membership checks inside loops to achieve O(N+M) time complexity. |
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The changes in this file replace the existing content instead of appending the new entry. This file appears to be a log of optimizations and learnings (as evidenced by the reference to the previous entry in hooks/useSchedule.ts). Replacing the content results in a loss of historical context. Please append the new entry to the end of the file or keep the previous entries.
| ## 2025-05-20 — Schedule Filter Optimization | |
| **Learning:** Found a common anti-pattern where `Array.prototype.includes()` was used inside `Array.prototype.filter()`, leading to O(N*M) time complexity when filtering large session arrays based on user saved IDs. | |
| **Action:** Always convert lookup arrays to a `Set` outside the loop and use `Set.has()` for O(1) membership checks inside loops to achieve O(N+M) time complexity. | |
| ## 2024-05-18 - Avoid array spreads inside loops for Map grouping | |
| **Learning:** In Next.js/React applications, when grouping items (like schedules or talks) into a `Map` where the values are arrays, using the array spread operator `[...existing, item]` inside a loop (like `forEach` or `map`) causes amortized O(N^2) memory allocations and unnecessary Garbage Collection overhead. | |
| **Action:** Always use `.push()` on the existing array reference if the data structure permits local mutation. For strict ESLint configurations enforcing `no-restricted-syntax`, extract the existing array, push to it, and handle the fallback elegantly (`if (!existing) { map.set(key, [item]); } else { existing.push(item); }`). | |
| ## 2025-05-20 — Schedule Filter Optimization | |
| **Learning:** Found a common anti-pattern where `Array.prototype.includes()` was used inside `Array.prototype.filter()`, leading to O(N*M) time complexity when filtering large session arrays based on user saved IDs. | |
| **Action:** Always convert lookup arrays to a `Set` outside the loop and use `Set.has()` for O(1) membership checks inside loops to achieve O(N+M) time complexity. |
Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
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💡 What: Converted the
savedSessionIdsarray into aSetbefore using it inside theArray.prototype.filter()loop inScheduleContainer.tsx.🎯 Why: Calling
Array.prototype.includes()inside a.filter()loop results inO(N * M)time complexity. By converting the lookup array to aSetonce, the complexity is reduced toO(N + M)for much faster execution, especially as the number of sessions and saved IDs grows.📊 Impact: Reduces time complexity from
O(N^2)toO(N)during the client-side re-render of the schedule when filtering by saved sessions. Prevents UI stutter for users with many saved sessions.🔬 Measurement: Verify by rendering the schedule with many saved sessions and monitoring the React Profiler for the
ScheduleContainercomponent render time.PR created automatically by Jules for task 1801926843676623522 started by @anyulled