⚡ Bolt: computeTaskMetrics 루프 성능 최적화 - #590
Conversation
Replaced `Array.prototype.reduce`/`forEach` and `Map` cache structures with standard `for` loops and `Int32Array` in high-frequency path `computeTaskMetrics`. This eliminates JS engine callback allocations, garbage collection overhead, and Map hash-lookup overhead.
|
👋 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. |
|
Warning Review limit reached
Next review available in: 20 minutes Limit details: You’ve used the included review currently available. 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?Wait for the limit to reset, then comment An organization admin can change what happens after included review limits in Billing. How do review limits work?CodeRabbit enforces per-developer PR review limits within each organization. For paid Pro and Pro+ reviews, CodeRabbit uses a developer's included PR review attempts over the past 7 days to set the current hourly allowance. At typical activity levels, the full plan allowance applies. Higher sustained activity can lower the allowance until earlier attempts leave the 7-day 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 |
![devin-ai-integration[bot]](https://avatars.githubusercontent.com/in/811515?s=60&v=4){kind=small}
| plannedDateWarning, | ||
| actualDateWarning | ||
| }); | ||
| }); | ||
| } |
There was a problem hiding this comment.
📝 Info: Int32Array cache preserves behavior
Switching from a task.id-keyed Map to a position-indexed Int32Array stays correct: both loops iterate state.tasks in the same order, and calculateDurationDays returns only integers within Int32 range under YYYY-MM-DD validation. As a side effect it avoids the prior collapse of duplicate task ids in the Map.
(Refers to this code)
Was this helpful? React with 👍 or 👎 to provide feedback.
|
Closing as superseded by #508 after a fresh semantic diff comparison against the same protected |
Understood. Acknowledging that this work is now superseded by #508 and stopping work on this task. |
1 participant
💡 무엇을
app.js파일 내의computeTaskMetrics함수에서Array.prototype.reduce,Array.prototype.forEach등의 배열 메소드와Map캐싱 구조를 표준for루프와Int32Array캐싱 구조로 변경했습니다.🎯 왜
computeTaskMetrics는 화면 렌더링을 포함해 상태가 변경될 때마다 호출되는 함수로, 수많은tasks배열을 반복 처리합니다. 반복 처리 과정에서 JS 엔진의 콜백 할당, 가비지 컬렉션(GC) 그리고Map해시 조회에 따른 오버헤드가 발생하기 때문에, 이를 표준 루프와 타입 지정 배열(Typed Array)로 최적화하면 큰 성능 향상을 가져올 수 있습니다.📊 영향
🔬 측정
Int32Array및 표준for루프를 사용한 함수로 성능 벤치마크 혹은 브라우저 프로파일링 도구에서computeTaskMetrics실행 시간이 단축된 것을 확인할 수 있습니다.PR created automatically by Jules for task 15962930833515522622 started by @seonghobae