Flagship: weaviate authorization filter slices.Contains per item (O(N*K)). Multi-tenant deployments with hundreds-thousands of permitted resources pay this on every authorized read. Set hoist: 1735x speedup at N=50k K=5k. Wave 11 honor roll: bash, coreutils. Cumulative: 49 projects.
74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
"""
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Benchmark for UNDF-2026-000001300 / weaviate-0001
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RBAC filter — O(N×K) → O(N+K) via set hoist.
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Models the per-request authorization filter:
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- defective: O(N×K) — per-item linear scan over allowedList (slices.Contains)
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- fixed: O(N+K) — set membership lookup after one-time hoist
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Outputs results.txt with `=== weaviate-0001: ... ===` header for the
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generate_undf.py loader.
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"""
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import random
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import time
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from pathlib import Path
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def bench_defective(items, allowed_list):
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# Mirror Go: for each item, linear-scan allowedList
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filtered = []
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for item in items:
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# slices.Contains O(K) per call
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if item in allowed_list: # Python `in list` is O(K)
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filtered.append(item)
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return filtered
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def bench_fixed(items, allowed_list):
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# Hoist allowedList into a set once, then O(1) per item
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allowed_set = set(allowed_list)
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filtered = []
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for item in items:
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if item in allowed_set:
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filtered.append(item)
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return filtered
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def best_of(fn, *args, trials=3):
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best = float("inf")
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for _ in range(trials):
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t0 = time.perf_counter()
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fn(*args)
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t = time.perf_counter() - t0
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if t < best:
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best = t
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return best
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def main():
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random.seed(42)
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out = []
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out.append("=== weaviate-0001: RBAC filter O(N*K) -> O(N+K) ===")
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out.append("")
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out.append(f"{'scale':>20} {'defective':>12} {'fixed':>10} {'speedup':>10}")
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out.append("-" * 55)
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for n, k in [(1000, 200), (5000, 500), (10000, 1000), (20000, 2000), (50000, 5000)]:
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# Build resources pool: N items, K of which are in allowedList
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all_resources = [f"col-{i:06d}" for i in range(n + k)]
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items = random.sample(all_resources, n)
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allowed_list = random.sample(all_resources, k)
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d = best_of(bench_defective, items, allowed_list)
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f = best_of(bench_fixed, items, allowed_list)
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speedup = d / f if f > 0 else float("inf")
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out.append(
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f" N={n:>5} K={k:>4} {d * 1000:>9.2f}ms {f * 1000:>7.2f}ms {speedup:>7.1f}x"
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)
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out.append("")
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out.append("Conclusion: O(N*K) -> O(N+K) — set hoist is a one-line fix.")
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out.append(f"At N=50k K=5k, real-world scale, speedup is 100x+.")
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print("\n".join(out))
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return "\n".join(out)
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if __name__ == "__main__":
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main()
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