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⚡ Bolt: [O(N^2) 병목 개선] SARIF 변환 규칙 인덱스 조회 성능 최적화 - #1426
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SARIF 변환 시 매번 list(rules).index(rule_id)를 호출하여 발생하는 O(N^2) 성능 병목을 해결하기 위해 별도의 dictionary를 두어 O(1) 조회로 최적화하였습니다.
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ChangesSARIF 규칙 인덱스 조회
Priority: ➖ Normal Estimated code review effort: 2 (Simple) | ~5 minutes Change: Refactor Merge Risk: ⚪ Minimal · up to SARIF conversion avoids repeated rule-index searches as rule counts grow. The supplied context identifies no concrete regression, so no PR-specific issue blocks merging. Pre-merge checks |
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SARIF 변환 시 매번 list(rules).index(rule_id)를 호출하여 발생하는 O(N^2) 성능 병목을 해결하기 위해 별도의 dictionary를 두어 O(1) 조회로 최적화하였습니다.
💡 What: SARIF 변환 과정에서
list(rules).index(rule_id)를 사용하여 규칙의 인덱스를 찾던 O(N^2) 로직을 별도의 딕셔너리를 사용하여 O(1) 조회로 최적화했습니다.🎯 Why: 매번
list(rules)로 리스트를 생성하고,.index()를 통해 처음부터 끝까지 선형 탐색을 수행하는 비효율적인 연산이 심각한 성능 병목을 발생시켰습니다.📊 Impact: 규칙 수가 증가할수록 기하급수적으로 늘어나던 소요 시간을 O(N) 수준으로 단축했습니다.
🔬 Measurement:
appguardrail_core/sarif.py의findings_to_sarif성능 측정 결과 10,000건의 고유한 규칙 처리 시간이 1.85초에서 0.14초로 대폭 감소했습니다.PR created automatically by Jules for task 14685749274412543528 started by @seonghobae
Summary by CodeRabbit