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orca/docs/bug-reproductions/usage-scan-append/shared-reader-small-files.json
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{
"schemaVersion": 1,
"scenario": "1000-small-files",
"scope": "Shared JSONL reader and file metadata hardening, exercised through the combined Claude scanner; the current Claude projection implementation is identical in both arms.",
"capturedAtUtc": "2026-10-09",
"environment": {
"node": "v24.20.0",
"platform": "darwin",
"osRelease": "25.3.0",
"arch": "arm64",
"cpuModel": "Apple M4 Max"
},
"rounds": 10,
"schedule": "Alternating before/after and after/before; five rounds in each order; tests and builds held during this final capture.",
"baselineCommit": "03a2ecaa00138ee44ad0dbb9dbd957cfe1a5e3f8",
"baselineModules": [
"src/main/claude-usage/transcript-record-parser.ts",
"src/main/usage/jsonl-file-checkpoint.ts",
"src/main/usage/jsonl-file-snapshot.ts",
"src/main/usage/jsonl-line-offsets.ts"
],
"baselineHashesVerifiedAgainstGit": true,
"currentSourceHashesVerifiedAgainstFrozenWorktree": true,
"sourceFingerprintLabels": {
"HEAD": "The four pinned published baseline modules supplied as an overlay; this is the existing loader label, not the current Git HEAD.",
"worktree": "Frozen combined-worktree modules, held identical in both arms except the four baseline overlays."
},
"methodology": {
"cold": "1,000 freshly written tiny transcripts; empty scanner cache; filesystem page cache warm.",
"changed": "Append a duplicate usage row with higher token maxima to each file, then scan from the unchanged cache.",
"warm": "Reuse each arm's cold persisted cache without changing files; no transcript content reads.",
"durationMs": "Production scan only, excluding fixture writes and cache serialization.",
"totalDurationMs": "Production scan plus JSON cache serialization, excluding hydration and fixture writes.",
"bytesRead": "All raw bytes reported by the existing benchmark loader, including verification reads.",
"readCount": "Logical filesystem API read records, including streams; this does not claim an OS syscall count.",
"parity": "Exact sessions, daily aggregates, and per-file projections in cold/changed phases across arms, excluding volatile stat values and additive generation/resume metadata.",
"median": "Average of the middle two values for the ten samples; the temporary capture script's upper-middle summaries are retained separately.",
"reproduction": [
"Use loadClaudeUsageBenchmarkScanner and measureClaudeUsageBenchmarkScan from config/scripts/claude-usage-benchmark-scanner.mjs in the combined Claude/shared-reader worktree.",
"Load only the four baselineModules from baselineCommit into the before source-overlay map; load every other module once into a shared worktree-source map used by both arms.",
"Create an isolated agent home containing 1,000 JSONL files, one keyed assistant usage row per file, with input_tokens=100 and output_tokens=10.",
"Measure a cold scan, an unchanged scan from its cache, then append the same keyed row with input_tokens=200 and measure the changed scan. Exclude batched fixture writes from timers.",
"Alternate arm order for ten rounds, assert exact projected behavior parity for cold and changed phases, and assert that every unchanged scan reads zero transcript bytes.",
"Compare byte counts and stream counts separately from duration, and record all raw samples and source fingerprints."
]
},
"captureScriptSha256": "d4bac98e4bd15f0ba4760646b9c63cd69160b4f5df7d09ae7b22b101ea0fc9c5",
"captureScriptStatus": "Local measurement adapter reused the existing loader; no separate benchmark framework or production tool was added.",
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"config/scripts/counterbalanced-benchmark-schedule.mjs": "bc35b40e954fa7ddec0225ed375bd3b113c2e05b8554bc50734d14f89987294d"
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"capturedUpperMiddleSummaries": {
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},
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}
}
},
"sourceFingerprints": {
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},
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"sha256": "7450e5ca7d8dcb66d1f5003a3e445c29f05c1416c6cd63aeb3f5f74804bc6213"
},
"src/main/usage/jsonl-file-checkpoint.ts": {
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"sha256": "8eb579f356e1bb23b36319f00b3d4603fff80a963222dcb8a22331319cab3a03"
},
"src/main/usage/jsonl-file-snapshot.ts": {
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"sha256": "1bd98ac194f73097cd6c204238fe1db01e1e0d60a604e93c1d7841725971fe0d"
},
"src/main/usage/jsonl-line-offsets.ts": {
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}
},
"after": {
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},
"src/main/claude-usage/transcript-file-discovery.ts": {
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"sha256": "54c84d0b99b45c0fa13e589a1bcec2b479cb01e8b17bcbddbb65a4bc85a03401"
},
"src/main/claude-usage/transcript-projection-integrity.ts": {
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"sha256": "f4efccd6f1be0603a90174f66ac961d07ea5bf1c1fbebe015b0537deee1c58f2"
},
"src/main/claude-usage/transcript-record-parser.ts": {
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"sha256": "6598c02e38ea1776ef5ef926ca424dbc5880f27e7ff03b651cf8f60b791996f6"
},
"src/main/claude-usage/transcript-resume-projection.ts": {
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"sha256": "b2ed0a589b60fdccb02c72fa234368853d32be080a84ee3bcc93f5834478a153"
},
"src/main/claude-usage/transcript-token-checkpoint.ts": {
"source": "worktree",
"sha256": "e96cc4aa9b899cad90aee462f053f483f5bb010dea99de1ee11a9f8fd8a2d0f2"
},
"src/main/claude-usage/transcript-usage-projection.ts": {
"source": "worktree",
"sha256": "56e2fe017f806670595dae766b6291e09b05b321b83e4b83e1ae5166bab2041c"
},
"src/main/claude-usage/usage-aggregation.ts": {
"source": "worktree",
"sha256": "be4dad6f41eaf720252137b16b9a96a2cfdd2e73b05eee097993653ce6c5e509"
},
"src/main/claude-usage/worktree-attribution.ts": {
"source": "worktree",
"sha256": "7450e5ca7d8dcb66d1f5003a3e445c29f05c1416c6cd63aeb3f5f74804bc6213"
},
"src/main/usage/jsonl-file-checkpoint.ts": {
"source": "worktree",
"sha256": "b7f307564989dabaf1dfda095a26c7bd9f0683e0efcabe79a010c7b58fa1a2d4"
},
"src/main/usage/jsonl-file-snapshot.ts": {
"source": "worktree",
"sha256": "b1b8869db92c08c762160acba7570aabff25879649cb6ffa3826912ee35deffe"
},
"src/main/usage/jsonl-line-offsets.ts": {
"source": "worktree",
"sha256": "f3574adfad4549c6330e2ac52760c91be5a8cbb9bf8e1beb440e3226087074db"
}
}
},
"limits": [
"One macOS host and page-cache-warm fixtures; durations are evidence for this scenario, not a platform-independent performance contract.",
"This comparison is against the published incremental reader implementation, not the pre-PR full-scan implementation.",
"Both arms still read each small cold/changed snapshot twice; unchanged scans read zero transcript bytes.",
"Warm duration rose by about 0.43 ms over 1,000 files in this capture; exact bigint metadata adds CPU work without adding stat calls.",
"Large-file append-only checkpoints retain their documented limitation for arbitrary middle rewrites during growth."
]
}
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