turbo-benchmark

Testing & Quality

Run performance benchmarks for TurboAPI. Use when testing performance, checking for regressions, or comparing against FastAPI.

QUICK START

How to use this skill

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Source SKILL.md: https://github.com/justrach/turboAPI/blob/HEAD/.claude/skills/turbo-benchmark/SKILL.md

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Run TurboAPI Benchmarks

Steps

Determine benchmark type: $ARGUMENTS[0] — http (default), db, full, or all
Build turbonet: Run uv run --python 3.14t python zig/build_turbonet.py --install --release
Run the benchmark

HTTP benchmark (TurboAPI vs FastAPI)

uv run --python 3.14t python benchmarks/turboapi_vs_fastapi.py --duration 10 --threads 4 --connections 100

DB benchmark (pg.zig vs SQLAlchemy)

docker run -d --name bench-pg -p 5432:5432 \
  -e POSTGRES_USER=turbo -e POSTGRES_PASSWORD=turbo -e POSTGRES_DB=turbotest \
  postgres:18-alpine
sleep 3
# Seed, then:
uv run --python 3.14t python benchmarks/db_bench_ci.py
docker stop bench-pg && docker rm bench-pg

Full comparison (all query patterns)

# Needs Postgres running on :5432
uv run --python 3.14t python benchmarks/full_comparison.py

Tests: baseline, SELECT by PK, paginated list, full-text search, GROUP BY, and more.

Varying IDs benchmark (cache spread test)

wrk -t2 -c50 -d5s -s benchmarks/varying_ids.lua http://127.0.0.1:8000

Expected numbers (Apple Silicon M3 Pro)

Endpoint	TurboAPI	FastAPI+SQLAlchemy	Speedup
Baseline (no DB)	~133k req/s	~9.8k req/s	14x
SELECT by PK (cached)	~133k req/s	~2.6k req/s	48x
Full-text search	~110k req/s	~2.5k req/s	44x
GROUP BY sum/avg	~129k req/s	~1.4k req/s	96x
Auth + Depends	~116k req/s	—	—
Varying IDs (100 keys)	~126k req/s	—	—

Regression threshold

CI fails if cached PK drops below 10k req/s. See .github/workflows/db-benchmark.yml.