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refactor(rollup): evaluate allocation-free object traversal - #571

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seonghobae wants to merge 3 commits into
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bolt/optimize-object-keys-4759725500259247067
Draft

refactor(rollup): evaluate allocation-free object traversal#571
seonghobae wants to merge 3 commits into
developmentalfrom
bolt/optimize-object-keys-4759725500259247067

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@seonghobae

@seonghobae seonghobae commented Sep 3, 2026

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Current exact authority

  • protected target: developmental@722fb505d384405dd5e2e757cc4bf4371a957e54
  • exact head: 4965994cebe2c8a8805493f94f454cee889d2082
  • compare: ahead-only (ahead_by=2, behind_by=0), merge base exactly the protected target
  • effective delta: daily-rollup.ts, weekly-report.ts only
  • lifecycle: open / Draft

Verified delta and evidence boundary

The implementation replaces several Object.keys(record) traversals with for...in guarded by Object.hasOwn(record, key). At the language-operation level this avoids materializing the explicit Object.keys() result array for those loops. It does not by itself prove lower total allocation, lower GC pause frequency, lower RSS/heap, or lower wall-clock latency: engine/JIT enumeration behavior and the surrounding aggregation workload still matter.

The generated PR text claimed significant GC/heap improvements and cited unit-test success plus an unspecified long-running memory observation. Those are not reproducible performance evidence. Unit tests can establish semantic parity but do not measure the claimed runtime effect.

Repair in this lineage

The generated branch also appended a repository-wide .jules/bolt.md rule prescribing for...in + Object.hasOwn() for hot object traversal. Normal descendant 4965994c... restores the protected journal blob while preserving the two production-file refactors. A data-structure traversal choice is not a universal performance invariant and must be selected from measured workload evidence. No force update or destructive rebase was used.

Required RED/GREEN before performance promotion

Use production-representative rollup/report shapes, including realistic key cardinality and nested aggregation distributions, on the supported Node/V8 runtime. Compare current Object.keys() and candidate for...in + Object.hasOwn() with identical warm-up and GC settings. Record at minimum distributional latency/throughput and allocation/heap/GC evidence; preserve exact aggregate output, own-enumerable-key semantics, empty dictionaries, null-prototype dictionaries if admitted, and dictionaries whose prototype contains enumerable properties. If the effect is negligible or regressive, restore the simpler traversal instead of keeping a performance-labeled refactor.

Buyer-facing page/path p95 remains a separate browser/API acceptance and is not inferred from a local loop benchmark.

Promotion boundary

Keep Draft until semantic parity tests and reproducible performance evidence justify the implementation on one unchanged exact head, followed by applicable typecheck/lint/build/security/dependency workflows and current review/thread admission. Do not transfer predecessor checks, use no-op retriggers, self-approve, weaken gates, or convert unit-test success into GC/latency claims.

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@seonghobae
seonghobae marked this pull request as draft September 4, 2026 01:05
@seonghobae seonghobae changed the title ⚡ Bolt: [성능 개선] 객체 순회 최적화 (for...in) refactor(rollup): evaluate allocation-free object traversal Sep 4, 2026
@seonghobae seonghobae added maintenance priority: medium Normal-priority or P2 work type: maintenance Maintenance, build, dependency, or operational upkeep labels Sep 7, 2026 — with ChatGPT Codex Connector
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