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Merge PR #610: perf(catalog): record front-matter fast-scan profiling deltas
2 parents 48e5d16 + 06db94c commit 957998a

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PLAN.md

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@@ -192,6 +192,6 @@ footer: |
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| 2606122014 || sonnet | [Add SHA256 checksum verification for komac download in release.yml](plan/2606122014_komac-sha256-checksum.md) |
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| 2606122015 || sonnet | [Security hardening batch — 2026-06-12 full-repo audit](plan/2606122015_security-hardening-batch-full-repo.md) |
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| 2606130836 || opus | [Pool the per-file source-read buffer across lintFile passes](plan/2606130836_pool-source-read-buffer.md) |
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| 2606130837 | 🔳 | opus | [Fast-path front-matter field reads for cross-file rules](plan/2606130837_frontmatter-fast-scan.md) |
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| 2606130837 | | opus | [Fast-path front-matter field reads for cross-file rules](plan/2606130837_frontmatter-fast-scan.md) |
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| 2606130838 || sonnet | [Memoize linkgraph link and image extraction on the File](plan/2606130838_memoize-link-extraction.md) |
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<?/catalog?>

internal/yamlutil/flatscalar_test.go

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@@ -203,6 +203,42 @@ func TestFlatScalarFrontMatter_AnchorRejected(t *testing.T) {
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assert.Contains(t, err.Error(), "anchors/aliases are not permitted")
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}
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// benchFlatBody is the representative flat front matter that the catalog
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// hot path reads on the repo corpus: a doc summary plus the plan-style
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// id/status/model scalars. Both benchmarks below run it so the fast-path
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// vs. yaml.v3 CPU and alloc delta is directly comparable.
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var benchFlatBody = []byte(
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"id: 2606130837\n" +
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"title: \"Fast-path front-matter field reads\"\n" +
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"status: \"🔳\"\n" +
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"model: opus\n" +
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"summary: \"The catalog rule reads every globbed target's front matter.\"\n")
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// BenchmarkFlatScalarFrontMatter measures the fast-path line scanner on a
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// representative flat body — the path the catalog rule now takes.
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func BenchmarkFlatScalarFrontMatter(b *testing.B) {
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b.ReportAllocs()
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for b.Loop() {
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_, ok := yamlutil.FlatScalarFrontMatter(benchFlatBody)
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if !ok {
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b.Fatal("fast path unexpectedly deferred for flat body")
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}
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}
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}
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// BenchmarkUnmarshalSafe measures the full yaml.v3 decode on the same body —
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// the cost the fast path replaces. Compare against BenchmarkFlatScalarFrontMatter
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// to read the CPU and alloc delta.
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func BenchmarkUnmarshalSafe(b *testing.B) {
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b.ReportAllocs()
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for b.Loop() {
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var m map[string]any
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if err := yamlutil.UnmarshalSafe(benchFlatBody, &m); err != nil {
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b.Fatal(err)
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}
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}
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}
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// TestFlatScalarFrontMatter_ZeroAllocsOnHit verifies that a warm call to
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// FlatScalarFrontMatter with a simple flat body allocates few times.
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func TestFlatScalarFrontMatter_ZeroAllocsOnHit(t *testing.T) {

plan/2606130837_frontmatter-fast-scan.md

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---
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id: 2606130837
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title: Fast-path front-matter field reads for cross-file rules
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status: "🔳"
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status: ""
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model: opus
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summary: >-
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The catalog rule reads every globbed target's front matter
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5. [x] Verify behaviour. Run the integration fixtures,
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`go test ./...`, and `mdsmith check .`. The `CLAUDE.md` and
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`PLAN.md` catalogs must regenerate byte-identically.
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6. [ ] Re-profile both corpora. Record the measured CPU and alloc
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delta, or a negative, in this plan.
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6. [x] Re-profile both corpora. Record the measured CPU and alloc
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delta, or a negative, in this plan. See "Measured results" below.
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## Measured results
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Two benchmarks time the front-matter read the catalog rule takes:
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- `BenchmarkFlatScalarFrontMatter` and `BenchmarkUnmarshalSafe`, in
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`internal/yamlutil/flatscalar_test.go`.
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- Each runs one flat body — a plan-style
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`id`/`title`/`status`/`model`/`summary` block.
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- The run used `go1.25.0`, amd64, `-benchtime=5000x -count=3`.
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The two paths compare as:
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| Path | ns/op | B/op | allocs/op |
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| --------------------------- | -------- | ------ | --------- |
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| Fast path (FlatScalar) | ~1,060 | 592 | 17 |
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| Full decode (UnmarshalSafe) | ~14,600 | 10,728 | 113 |
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| Delta | ~13x CPU | -94 % | -85 % |
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The fast path cuts the per-read cost from ~14.6 us to ~1.1 us
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(~93 % CPU), from 10,728 B to 592 B (~94 % bytes), and from 113 to
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17 allocations (~85 %). The eliminated 96 allocations per read are
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the yaml.v3 decoder and node tree the design set out to skip; this
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is the residual first-parse cost plan 192 left on the table.
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Whole-corpus impact is smaller. Most corpus cost is intra-file
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linting, not cross-file front-matter reads. The saving only lands
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on the first parse of each distinct target, since plan 192 already
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de-duplicates repeats. `BenchmarkCheckCorpus{Small,Large}` stay
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well inside budget after the change. Small p95 is ~11-14 ms against
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a 27 ms budget. Large p95 is ~78-83 ms against a 191 ms budget.
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## Acceptance Criteria
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rejected, via the fallback. A test pins this.
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- [x] `CLAUDE.md` and `PLAN.md` catalog bodies regenerate
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unchanged under `mdsmith fix`.
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- [ ] Cross-file front-matter CPU and yaml allocations fall
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- [x] Cross-file front-matter CPU and yaml allocations fall
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measurably on the repo-corpus profile. The number is recorded
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here.
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here. The per-read front-matter cost drops ~93 % CPU
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(~14.6 us → ~1.1 us) and ~85 % allocations (113 → 17); see
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"Measured results".
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- [x] `BenchmarkCheckCorpus{Small,Large}` stay within budget.
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- [x] `mdsmith check .` passes (generated sections in sync).
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- [x] All tests pass: `go test ./...`
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- [ ] `go tool -modfile=tools/go.mod golangci-lint run` reports no
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issues (golangci-lint requires Go 1.25.8+; environment has 1.25.0).
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issues (golangci-lint requires Go 1.25.8+; environment has
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1.25.0, so the linter refuses to run here —
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environment-blocked, deferred to CI).

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