otel benchmark harness - #9
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Bash + Python session driver with host-side timing, cold-then-warm in one DuckDB process, warm schema-stability gate, and a main-level 100k baseline.
…f a fixed low cap. AUTO_POOL_THREAD_CAP=4 and AUTO_PIPELINE_THREAD_CAP=8 clamped the append-pool and parse-pipeline auto-scaling below the box's own hardware_concurrency()/2 and *2/3 formulas, leaving cores idle on many-core machines. Reusing the existing MAX_POOL_THREADS/ MAX_PIPELINE_THREADS=16 ceiling lets defaults scale with the machine; verified with the full sqllogictest suite (663 assertions) and back-to-back A/B ingest runs showing ~20-30% higher cold-ingest throughput on a 20-core box with no regressions.
Re-measured ingest and query benchmarks on DuckDB v1.5.5 with the scaled thread defaults: 1.35M/1.26M/970k records/s for traces/logs/ metrics (3M records in 2.6s), and 27-63x query speedup with 6x smaller storage vs the JSON baseline.
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