⚡ Bolt: computeTaskMetrics 성능 최적화 (O(N) 루프 개선) - #533
Conversation
app.js의 computeTaskMetrics 내에서 reduce, forEach와 Map 객체를 사용하던 부분을 기본 for 루프와 Int32Array로 변경하여 반복 콜백 할당, GC 및 해시 맵 조회 오버헤드를 제거했습니다.
|
👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with New to Jules? Learn more at jules.google/docs. For security, I will only act on instructions from the user who triggered this task. |
|
Bugbot is not enabled for your account, so this pull request was not reviewed. Enable Bugbot in the Cursor dashboard to get automatic reviews on future PRs. |
|
Warning Review limit reached
Next review available in: 28 minutes Limit details: You’ve used all 1 included review currently available under your plan. You've used all free OSS reviews for now. Wait for the free limit to reset to keep reviewing this public repository. How can I continue?After more reviews become available, a review can be triggered using the To avoid repeated limits, reduce automatic review volume by pausing incremental auto-reviews earlier, using label-based review opt-in, excluding WIP or generated PR titles, or requesting reviews manually when the PR is ready. If your team needs uninterrupted high-volume reviews, an organization admin can enable usage-based reviews. How do review limits work?CodeRabbit enforces per-developer PR review limits for each organization. Most developers receive the normal plan review availability. For paid Pro and Pro+ PR reviews, CodeRabbit uses adaptive limits for sustained high-volume activity. When a developer's recent PR review activity reaches the 95th percentile or higher among CodeRabbit users, additional reviews become available more gradually as earlier reviews age out of the rolling window. Please refer docs for additional details. Review details⚙️ Run configurationConfiguration used: Organization UI Review profile: CHILL Plan: Pro Plus Run ID: 📒 Files selected for processing (2)
Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
|
Superseded by the existing canonical performance lane #508. Fresh exact-head comparison shows both PRs implement the same buyer-facing |
Understood. Acknowledging that this PR is superseded by #508 and is now obsolete. I am stopping work on this task. |
💡 무엇을
app.js의computeTaskMetrics함수 내에서 배열을 순회할 때 사용되던Array.prototype.reduce와Array.prototype.forEach, 그리고 각 작업의 기간을 임시 저장하는Map객체를 기본for루프와Int32Array로 교체했습니다.🎯 왜
Kahn 알고리즘 최적화 사례처럼, O(N) 반복이 일어나는 핵심 로직에서 매 순회마다 콜백 함수를 할당하거나
Map해시 룩업을 수행하는 것은 엔진 단에서 GC 압박과 메모리 할당 비용을 발생시킵니다. WBS 작업 항목이 수만 개 단위로 커질 경우 렌더링마다 지연을 유발할 수 있기 때문입니다.📊 영향
Map인스턴스와 관련된 해시 룩업 오버헤드 제거reduce및forEach사용으로 인해 N번 호출되던 콜백 할당 오버헤드 완벽 차단Int32Array를 캐시로 사용함으로써 메모리 접근 및 캐시 지역성(Cache locality) 향상.🔬 측정
npm run test:e2e및npm run test:unit이 모두 성공적으로 동작하는 것을 확인. (UI와 비즈니스 로직에는 영향 없음)computeTaskMetrics함수의 실행 시간이 큰 단위의 리스트에서 개선될 것을 예상.PR created automatically by Jules for task 6634013291912164516 started by @seonghobae