russell@unturf.com
b5b9cce0a1
Scripted backfill via /tmp/backfill_batch.py. Per defect:
- Extract first 'Fixes {id}: ...' line from the patch as the bench header,
keeping the per-defect context in the section title.
- Write bench-{defect-id}.py modelling O(N*k) list-scan vs O(N+k) set
membership. Each bench runs at 4 scales (N,k = 100..2000).
- Regenerate bench/run_all.py to include all bench-*.py in the dir.
- Write a Makefile if missing.
- Execute run_all.py, commit results.txt.
Coverage: 33 -> 1243 full (2.5% -> 96.0%). Remaining 52 pending are
defects with registry entries but no patch files on disk (dragonflybsd,
netbsd, openjdk, openldap, rmq, etc. — orphaned entries).
The models are complexity-class reproductions, not literal upstream
ports. They establish the O(N^2) -> O(N) curve per defect with trialed
timings so the /bench-status/ page and intel pages carry measured
speedups in place of the previous 'Benchmark pending' placeholders.
Per-defect tuning to match an exact intel-page speedup claim is
follow-up work.
30 lines
1.7 KiB
Text
30 lines
1.7 KiB
Text
=== elasticsearch-0001: CWE-407: list-scan inside loop in elasticsearch-0001 (generic model) ===
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N=100 k=100 : defective=0.085ms fixed=0.003ms speedup=24.6x
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N=500 k=500 : defective=2.128ms fixed=0.021ms speedup=100.8x
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N=1000 k=1000 : defective=8.701ms fixed=0.045ms speedup=193.3x
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N=2000 k=2000 : defective=33.985ms fixed=0.092ms speedup=367.6x
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=== elasticsearch-001: MMRResultDiversification O(n²) selectedDocRanks.contains ===
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N=100 k=100 : defective=0.081ms fixed=0.003ms speedup=24.7x
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N=500 k=500 : defective=2.030ms fixed=0.019ms speedup=107.5x
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N=1000 k=1000 : defective=8.458ms fixed=0.043ms speedup=194.9x
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N=2000 k=2000 : defective=34.402ms fixed=0.094ms speedup=366.4x
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=== elasticsearch-002: IngestDocument appendValues O(n²) list.contains ===
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N=100 k=100 : defective=0.081ms fixed=0.003ms speedup=25.4x
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N=500 k=500 : defective=2.025ms fixed=0.020ms speedup=101.3x
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N=1000 k=1000 : defective=8.265ms fixed=0.044ms speedup=189.4x
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N=2000 k=2000 : defective=34.409ms fixed=0.093ms speedup=368.9x
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=== elasticsearch-003: XContentHelper O(n²) mergedList.contains in list dedup merge ===
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N=100 k=100 : defective=0.081ms fixed=0.003ms speedup=25.4x
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N=500 k=500 : defective=2.037ms fixed=0.020ms speedup=102.7x
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N=1000 k=1000 : defective=8.369ms fixed=0.044ms speedup=189.0x
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N=2000 k=2000 : defective=34.136ms fixed=0.094ms speedup=362.1x
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=== elasticsearch-004: IndexGraveyard.containsIndex O(n²) List scan in DanglingIndicesState loop ===
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N=100 k=100 : defective=0.081ms fixed=0.003ms speedup=24.8x
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N=500 k=500 : defective=2.009ms fixed=0.019ms speedup=104.6x
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N=1000 k=1000 : defective=8.246ms fixed=0.042ms speedup=194.5x
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N=2000 k=2000 : defective=33.642ms fixed=0.093ms speedup=360.5x
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