⚡ Bolt: [성능 개선] DBML 임포트 컬럼 포지션 파싱 로직 최적화

[seonghobae]

💡 What: backend/app/spec/dbml_import.py 파일의 DBML 파싱 과정에서 컬럼의 위치(column_position)를 계산할 때 사용되던 O(N^2) 생성자 표현식(sum(1 for c in columns ...))을 O(1) Dictionary 카운터(col_count_by_oid)로 교체했습니다.

🎯 Why: 대량의 컬럼을 포함하는 DBML 파일을 임포트할 때, 기존 로직은 매 컬럼마다 누적된 컬럼 목록 전체를 순회하므로 2차 시간 복잡도(O(N^2)) 성능 병목을 발생시켰습니다.

📊 Impact: 컬럼 수가 많은 스키마 구조의 DBML을 파싱할 때 소요되는 시간과 자원이 획기적으로 절약되고 성능이 대폭 향상됩니다 (성능 최적화).

🔬 Measurement: backend 디렉토리 하위의 tests/test_dbml_import.py 유닛 테스트를 성공적으로 마쳤으며, 기능을 검증하였습니다.

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PR created automatically by Jules for task 955915216229282190 started by @seonghobae

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Reviewing files that changed from the base of the PR and between 4bf3968 and 926c671.

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• .jules/bolt.md
• backend/app/spec/dbml_import.py

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[seonghobae]

Closed as superseded/duplicate agent perf micro-optimization; main already has comparable Bolt export/render opts (#561/#538). Commercial-baseline drain: not uniquely required.

[google-labs-jules]

Closed as superseded/duplicate agent perf micro-optimization; main already has comparable Bolt export/render opts (#561/#538). Commercial-baseline drain: not uniquely required.

Understood. Acknowledging that this work is now obsolete and superseded by main, and stopping work on this task.