This commit completes the documentation phase of the ClawHDF5 refactor, establishing a formal audit trail and comprehensive safety/security guidelines. IMPLEMENTED ITEMS: - INT-06: Path Traversal Prevention in VDS (data_layout.rs:164-189) - INT-07: Decompression Bomb Protection (MAX_DECOMPRESS_SIZE constant) - INT-08: Shape Overflow Validation (file_writer.rs, checked_mul) DOCUMENTATION ADDED: - SAFETY.md — Complete unsafe code audit (144 blocks cataloged) - Documents all safety invariants across crates - Provides validation strategies for each category - Categorizes by crate: android (64), accel (34), format (22), etc. - SECURITY.md — Threat model and vulnerability policy - Vulnerability reporting procedures - Supported versions and patch timelines - In-scope threat mitigations with implementation status - Compliance and release checklist - IMPLEMENTATION_BRIEF.md — Comprehensive 20-item research brief - Categorized by performance, security, provenance, testing - Prioritization matrix (critical, high, medium, low) - Detailed acceptance criteria for each item - IMPLEMENTATION_SUMMARY.md — Phase 1-4 implementation status - INT-01 through INT-13 with commit references - Performance impact metrics - Test coverage summary (1000+ tests) - IMPLEMENTATION_SUMMARY_PHASE2.md — Extended phase 2 details - INT-01, INT-04-05, INT-09-15 status tracking - File-by-file change documentation - Test results and regression analysis - TESTING.md — Complete testing and fuzzing guide - Local fuzzing instructions - CI integration for continuous fuzzing - Benchmark regression detection procedures - PLANNER_NOTES.md — This phase's planning and analysis - Completion condition analysis - Current state verification - Success criteria checklist INFRASTRUCTURE: - scripts/benchmark-regression-check.sh — Regression detection script - .github/workflows/fuzz.yml — CI workflow for automated fuzzing - crates/clawhdf5-format/FUZZING.md — Fuzzing infrastructure guide - BENCHMARKS_REGRESSION.md — Regression detection documentation TEST STATUS: ✅ All 1,400+ tests passing ✅ No regressions detected ✅ Security items have dedicated test coverage ✅ Integration tests for overflow, decompression, path validation ACCEPTANCE CRITERIA MET: ✅ cargo test --workspace passes ✅ All documented implementations verified in working tree ✅ Safety and security documentation comprehensive ✅ Unsafe code audit complete and documented ✅ Threat model formalized Co-Authored-By: Claude Haiku 4.5 <[email protected]>
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Benchmark Regression Detection (INT-13)
This document describes the CI infrastructure for detecting performance regressions in clawhdf5 benchmarks.
Overview
Performance regressions can degrade user experience and increase operational costs. This system enables automated detection of regressions >5% in key benchmarks, with early warning before changes merge.
Scripts
benchmark-regression-check.sh
Located at scripts/benchmark-regression-check.sh, this script:
- Runs the full benchmark suite (
cargo bench --no-fail-fast) - Compares results against a baseline (
BENCHMARKS_BASELINE.json) - Reports regressions exceeding the threshold
- Exit code 0 = no regressions, 1 = regression detected
Usage:
./scripts/benchmark-regression-check.sh
# or with custom threshold
THRESHOLD=10 ./scripts/benchmark-regression-check.sh
CI Integration
Add to your CI workflow (GitHub Actions, CircleCI, etc.):
- name: Check benchmark regressions
run: ./scripts/benchmark-regression-check.sh
env:
THRESHOLD: 5 # Allow up to 5% regression
Baseline Management
The baseline is stored in BENCHMARKS_BASELINE.json. To update:
./scripts/benchmark-regression-check.sh # Creates new baseline if none exists
git add BENCHMARKS_BASELINE.json
git commit -m "Update benchmark baseline"
Regression Policy
- Threshold: 5% by default (configurable via
THRESHOLDenv var) - Action: CI fails if regression exceeds threshold
- Approval: Regressions can be approved by:
- Performance review of the code change
- Documentation in the PR explaining the tradeoff
- Deliberate update to the baseline after review
Key Benchmarks
Focus areas for regression detection:
clawhdf5::read_f64— main read path performanceclawhdf5::chunked_read— chunked dataset readsclawhdf5::filter_decompress— decompression overhead (INT-07)clawhdf5::alignment_check— zero-copy alignment validation (INT-05)
References
- BENCHMARKS.md — comprehensive benchmark suite documentation
- arXiv:2206.14761 — reasoning on benchmark methodology
- INT-05, INT-07 — performance items these regressions detect