⚡ Bolt: 데이터 프레임의 불필요한 부분집합 추출에 따른 O(N) 오버헤드 제거 - #296
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`aFIPC.R` 내에서 단순히 열 이름(column names)을 조회할 목적으로 `colnames(newformXDataK[colnames(newFormModel@Data$data)])`와 같이 데이터 프레임을 전체 서브셋팅(subsetting)하는 로직이 있었습니다. 해당 로직은 데이터 전체를 복사하여 불필요한 O(N) 수준의 메모리 할당 및 복사 오버헤드를 발생시킵니다. 이를 이미 메모리에 존재하는 `colnames(newFormModel@Data$data)` 벡터를 직접 참조하도록 변경하여 O(1) 수준으로 최적화하였습니다.
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| newFormColNames <- colnames(newFormModel@Data$data) | ||
| oldFormColNames <- colnames(oldFormModel@Data$data) |
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📝 Info: colnames refactor preserves values
Replacing colnames(newformXDataK[cols]) with colnames(newFormModel@Data$data) yields identical results: df[cols] returns columns named exactly cols or errors on a missing name. The original ran without error, so every model column existed in newformXDataK, making the two forms equal. The data-copying site at linkedFormData was correctly left untouched.
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💡 What:
aFIPC.R내부에서 불필요하게 데이터 프레임을 부분 집합(subset)으로 추출하여 컬럼명을 조회하던 코드를, 이미 보유한 컬럼명 배열을 직접 사용하도록 수정했습니다.🎯 Why:
colnames(df[cols])패턴을 사용하면 데이터를 복사하여 부분 집합을 생성하므로, 데이터가 클 경우 O(N) 수준의 불필요한 복사 오버헤드와 메모리 낭비가 발생합니다.📊 Impact: 불필요한 메모리 복사가 제거되어, 해당 구문이 O(1) 속도로 처리되고 전체 실행 시 성능 향상 및 메모리 사용량 절감이 기대됩니다.
🔬 Measurement: 테스트 스위트를 실행하여 모든 로직이 정상적으로 동작하는지 확인 완료했습니다.
PR created automatically by Jules for task 15180973676238389688 started by @seonghobae