⚡ Bolt: O(N) 서브셋팅 오버헤드 최적화 - #308
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R에서 열 이름을 추출할 때 불필요한 데이터 복사를 방지하도록 데이터 프레임 서브셋팅을 제거하고 O(1)으로 직접 `colnames`를 참조하도록 최적화했습니다.
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Changes모델 열 이름 최적화
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: ⚪ Minimal · up to The change removes redundant data-frame subsetting when retrieving model column names, reducing repeated processing overhead without an identified behavior regression. No actionable merge-blocking risk remains beyond normal checks and review. 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches 💡 1🛠️ Fix failing CI checks 💡
🧪 Generate unit tests (beta)
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| newFormColNames <- colnames(newFormModel@Data$data) | ||
| oldFormColNames <- colnames(oldFormModel@Data$data) |
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🔍 Numerical equivalence lacks regression coverage
No test covers the newFormColNames and oldFormColNames substitutions. Repository rules require regression evidence for changes in this high-risk numerical path.
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seonghobae
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@opencode-agent review Re-run the bounded OpenCode review for exact current head |
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Queued @opencode-agent for PR #308 at head |
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Current repair finding — 2026-09-05
This PR is Draft at exact head
9793052ba12c3ce57f7c4f87c0f66e9d117aad08onmaster@f87c2324f1686135e57d8730c1b0b9420874f300.The proposed source change removes two data-frame projections and reads
colnames(newFormModel@Data$data)/colnames(oldFormModel@Data$data)directly. That may remove allocation work on the valid path, but the existing projection is also a data/source compatibility boundary:newformXDataK[model_columns]andoldformYDataK[model_columns]validate that every model-owned column can actually be selected from the source data before the later IPD/linking operations use those names. The direct-name replacement removes that behavior without a characterization regression.Repository
AGENTS.mdexplicitly requires preservation of historical numerical behavior inR/aFIPC.Runless a change has explicit regression evidence and maintainer intent. This PR currently changes a high-risk calibration/linking path, contains no executable test, and the claimed0.3s -> 0.003s (100x)measurement is an isolated operation count rather than representative end-to-endautoFIPCevidence. It therefore cannot be promoted as a verified commercial performance improvement.The generated
.jules/bolt.mdaddition also overgeneralizes the local transformation as an unconditional O(1) replacement despite the missing source/model compatibility contract. Do not promote that branch-specific lesson to repository-wide doctrine before the production boundary is characterized.RED / GREEN acceptance
RED must reproduce the current source/model-column contract through the maintained
autoFIPCpath (or a deliberately extracted pure boundary with direct callers): valid unique columns preserve item ordering and numerical/linking results; a model-owned column absent from the corresponding source data fails before downstream IPD/linking use; duplicate/empty-name behavior is characterized rather than guessed.GREEN may remove repeated data-frame allocation only if it preserves those behaviors. A minimal implementation can derive validated column indices/names without materializing the full data-frame projection, but it must be driven by the RED first. Any performance claim then requires representative/right-cleared calibration data and the real
autoFIPCpath, with workload dimensions, model/item counts, memory allocation, wall-clock distribution and numerical-equivalence evidence. Do not infer buyer-visible speedup from a 10,000-iteration microbenchmark ofcolnames()alone.If the optimized path becomes material enough to justify a long-lived hot-path abstraction, evaluate the repository's Rust-first psychometric/performance boundary rather than accumulating unmeasured R micro-optimizations. Until then, preserve the smallest auditable R change.
No self-approval, bypass, force update, destructive rebase, dummy/no-op retrigger, doctrine promotion, or performance overclaim.