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chore(network-graph): preserve duplicate generated optimization lineage - #1580

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seonghobae wants to merge 6 commits into
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bolt-optimize-network-graph-loops-3162808867524661535
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chore(network-graph): preserve duplicate generated optimization lineage#1580
seonghobae wants to merge 6 commits into
developfrom
bolt-optimize-network-graph-loops-3162808867524661535

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@seonghobae

@seonghobae seonghobae commented Sep 6, 2026

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Lifecycle repair

This generated direct-develop PR duplicates an already-owned NetworkGraph performance contract. It is preserved as provenance but is no longer an active source writer.

  • protected base: develop@042b0c70531b229af3acbd0421a2f23098d848b3
  • generated head: 33d3af25bea8dfb07a8a22a31023cf5e2953f853
  • current exact head: b8637567b97a8548619f5ded703b474621ca79a7
  • lifecycle: open / Draft / mergeable / zero effective delta
  • current head is an ordinary non-force child of the generated commit and adopts the exact protected develop tree 8fde14381aaa430eeaaf61151dab6f6800127cd3; GitHub reports an empty PR diff.

Canonical owner path

Draft #1522 perf(network-graph): bound relationship and node option materialization already owns the useful optimization on exact head fd938c1c6ae1328fafba1959fd55c3b9037e4346. Its product source uses the same bounded early-exit iteration for relationship options, node options, and the first five non-empty node labels, and it carries a dedicated executable NetworkGraph.option-limits.test.tsx regression proving the visible limits and ordering semantics. #1560 separately owns the memoized parent-rerender boundary.

The generated #1580 changed only NetworkGraph.tsx, CHANGELOG.md, and a Jules learning note. It duplicated #1522's source intent without the dedicated option-limit regression and described rendering/memory improvement without current browser profiling or buyer-path p95 evidence. Those claims are not accepted as delivery evidence and do not justify a parallel direct-develop writer.

No generated source/CHANGELOG/guidance delta is current product authority. The historical commit remains in ancestry; no force-push, destructive rebase, self-approval, dummy/no-op requeue, or gate weakening was used.

Succession boundary

Do not close this PR merely to reduce the queue. Keep it open Draft until #1522 is protected-integrated and a fresh exact-tree/equivalence audit proves every valid source, test, fixture, contract, and evidence contribution from the generated commit is either completely inherited by #1522/#1560 or deliberately rejected with recorded rationale. Only verified complete succession may justify closure.

NetworkGraph.tsx 내부의 useMemo Hook들에서 `Array.from(map.values()).slice(0, 5)`나 `nodes.map(...).filter(...).slice(0, 5)` 등의 함수 체이닝이 거대한 중간 객체 배열을 O(N)으로 전체 생성한 후 아주 작은 N(5~8) 크기만큼만 취하고 나머지는 GC에 버리는 성능 비효율이 있었습니다.
이를 5개, 8개 등의 뷰 최대 표현 요구치에 도달하면 즉시 break로 반복을 탈출하는 Imperative `for...of` 구조로 교체해, 최악의 경우 O(N)이던 Map→Array 캐스팅과 배열 순회 비용을 O(K) 수준으로 최적화했습니다.
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NetworkGraph.tsx 내부의 useMemo Hook들에서 `Array.from(map.values()).slice(0, 5)`나 `nodes.map(...).filter(...).slice(0, 5)` 등의 함수 체이닝이 거대한 중간 객체 배열을 O(N)으로 전체 생성한 후 아주 작은 N(5~8) 크기만큼만 취하고 나머지는 GC에 버리는 성능 비효율이 있었습니다.
이를 5개, 8개 등의 뷰 최대 표현 요구치에 도달하면 즉시 break로 반복을 탈출하는 Imperative `for...of` 구조로 교체해, 최악의 경우 O(N)이던 Map→Array 캐스팅과 배열 순회 비용을 O(K) 수준으로 최적화했습니다.
@seonghobae
seonghobae marked this pull request as draft September 6, 2026 21:42
@seonghobae seonghobae changed the title ⚡ Bolt: NetworkGraph 컴포넌트의 O(N) 배열 할당 병목 제거 chore(network-graph): preserve duplicate generated optimization lineage Sep 6, 2026
NetworkGraph.tsx 내부의 useMemo Hook들에서 `Array.from(map.values()).slice(0, 5)`나 `nodes.map(...).filter(...).slice(0, 5)` 등의 함수 체이닝이 거대한 중간 객체 배열을 O(N)으로 전체 생성한 후 아주 작은 N(5~8) 크기만큼만 취하고 나머지는 GC에 버리는 성능 비효율이 있었습니다.
이를 5개, 8개 등의 뷰 최대 표현 요구치에 도달하면 즉시 break로 반복을 탈출하는 Imperative `for...of` 구조로 교체해, 최악의 경우 O(N)이던 Map→Array 캐스팅과 배열 순회 비용을 O(K) 수준으로 최적화했습니다.
@seonghobae seonghobae added priority: medium Normal-priority or P2 work status: draft Draft pull request type: maintenance Maintenance, build, dependency, or operational upkeep labels Sep 6, 2026 — with ChatGPT Codex Connector
NetworkGraph.tsx 내부의 useMemo Hook들에서 `Array.from(map.values()).slice(0, 5)`나 `nodes.map(...).filter(...).slice(0, 5)` 등의 함수 체이닝이 거대한 중간 객체 배열을 O(N)으로 전체 생성한 후 아주 작은 N(5~8) 크기만큼만 취하고 나머지는 GC에 버리는 성능 비효율이 있었습니다.
이를 5개, 8개 등의 뷰 최대 표현 요구치에 도달하면 즉시 break로 반복을 탈출하는 Imperative `for...of` 구조로 교체해, 최악의 경우 O(N)이던 Map→Array 캐스팅과 배열 순회 비용을 O(K) 수준으로 최적화했습니다.
NetworkGraph.tsx 내부의 useMemo Hook들에서 `Array.from(map.values()).slice(0, 5)`나 `nodes.map(...).filter(...).slice(0, 5)` 등의 함수 체이닝이 거대한 중간 객체 배열을 O(N)으로 전체 생성한 후 아주 작은 N(5~8) 크기만큼만 취하고 나머지는 GC에 버리는 성능 비효율이 있었습니다.
이를 5개, 8개 등의 뷰 최대 표현 요구치에 도달하면 즉시 break로 반복을 탈출하는 Imperative `for...of` 구조로 교체해, 최악의 경우 O(N)이던 Map→Array 캐스팅과 배열 순회 비용을 O(K) 수준으로 최적화했습니다.
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