⚡ Bolt: [성능 개선] computeTaskMetrics 최적화 - #558
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Replaced Array.prototype.reduce and forEach with standard for loops and Int32Array to eliminate JS engine overhead (callback allocation, garbage collection, and map lookups) during hot metric calculations.
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Closing as a proven duplicate of the older canonical performance lane #508. Fresh semantic comparison against the current protected base shows #558 changes only |
Understood. Acknowledging that this work is a duplicate of #508 and is now obsolete. Stopping work on this task. |
💡 무엇을
computeTaskMetrics함수 내에서 사용되던Array.prototype.reduce및Array.prototype.forEach고차 함수 호출을 표준for루프로 대체했습니다.durationDays) 캐싱에 사용되던Map인스턴스 대신,state.tasks배열의 길이에 맞춘 크기의Int32Array타입 배열을 사용하도록 변경했습니다.🎯 왜
reduce및forEach와 같은 배열 메서드는 순회할 때마다 콜백 함수를 할당해야 하고, O(N) 반복 중 클로저 접근에 따른 오버헤드가 발생합니다.Map자료구조는 해시 조회를 필요로 하지만, 작업 목록의 인덱스를 직접 사용하는 고정 길이 배열(Int32Array)은 메모리 효율이 좋고 순회 중의 조회가 즉각적(O(1))입니다.📊 영향
🔬 측정
run_benchmark.cjs스크립트를 통해computeTaskMetrics함수의 실행 시간을 측정하여 기존 버전과 비교해볼 수 있습니다.PR created automatically by Jules for task 18045023051471159697 started by @seonghobae