Vortex-style YAML DSL vs Bash/Python/Perl — reproducible comparison + white paper - #9
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Vortex-style YAML DSL vs Bash/Python/Perl — reproducible comparison + white paper#9sethupathib wants to merge 3 commits into
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Reproducible 1:1 policy-as-code study with 7-rule design_health.yaml, adhoc ports, reference runner, measured SUMMARY, white paper + PDF. Co-authored-by: Sethupathi Balakrishnan <b.sethupathi@gmail.com>
Add 10M-line (~309MB) bash/python/yaml baseline showing Python ~21x slower than grep. Wire CLAIM_GATE_LARGE_LOG that only passes with VORTEX_BIN — do not post GB perf wins without the product binary. Co-authored-by: Sethupathi Balakrishnan <b.sethupathi@gmail.com>
On ~1.08GB cold-cache synthetic PD log, 7x vortex --search is ~26x faster than ad-hoc Python 7-rule scan. Document --search_by_rule as slow path (do not cite). Keep proprietary vortex-dist out of git. Co-authored-by: Sethupathi Balakrishnan <b.sethupathi@gmail.com>
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Large-log thesis (primary)
Vortex v25.1 installed from your Drive package (binary not in git).
On ~1.08 GB synthetic PD log, cold cache:
vortex --search ERRORvortex --searchCLAIM_GATE_LARGE_LOG: PASS (POSTABLE_LARGE_LOG_PERF=yes) on the multi-pattern claim.Honest caveat
--search_by_rule(7 YAML rules) took ~201 s on ~309 MB here — do not cite as the performance path. Cite--search/ multi--search.Methodology (unchanged)
Small ~6 MB compare still proves YAML policy vs Bash/Python/Perl LOC + correctness.
Artifacts
results/LARGE_LOG_BASELINE.txtresults/CLAIM_GATE_LARGE_LOG.txtpolicy/design_health_vortex.yaml(v25.1-compatible)