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fixed_qps_latency.py
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#!/usr/bin/env python3
"""Benchmark: Fixed QPS Latency Test.
This benchmark measures latency at fixed request rates (QPS) to show
how the SDK affects response times under controlled load.
Unlike throughput tests that blast requests as fast as possible, this
sends requests at a steady rate to measure realistic latency impact.
"""
from __future__ import annotations
import json
import os
import subprocess
import sys
from pathlib import Path
def run_fixed_qps_benchmark(
mode: str, target_qps: int, duration_seconds: int = 10, sampling_rate: float = 1.0
) -> dict | None:
"""Run benchmark at a fixed QPS in a subprocess."""
script = f'''
import os
import sys
import time
import shutil
import statistics
import threading
from pathlib import Path
os.environ["TUSK_DRIFT_MODE"] = "{mode}"
sys.path.insert(0, "{os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))}")
import requests
TRACE_DIR = Path("{Path(__file__).parent.parent / ".benchmark-traces-qps"}")
if TRACE_DIR.exists():
shutil.rmtree(TRACE_DIR)
if "{mode}" == "RECORD":
from drift import TuskDrift
from drift.core.tracing.adapters.filesystem import FilesystemSpanAdapter
sdk = TuskDrift.initialize(
api_key="benchmark-test-key",
env="benchmark",
sampling_rate={sampling_rate},
log_level="warn",
)
if sdk.span_exporter:
sdk.span_exporter.clear_adapters()
adapter = FilesystemSpanAdapter(base_directory=TRACE_DIR)
sdk.span_exporter.add_adapter(adapter)
sdk.mark_app_as_ready()
from benchmarks.server.test_server import TestServer
# Start server
server = TestServer()
server_info = server.start()
server_url = server_info["url"]
time.sleep(0.5)
session = requests.Session()
# Warmup
for _ in range(20):
session.post(f"{{server_url}}/api/realistic", json={{"userId": "warmup", "query": "test"}})
# Fixed QPS parameters
target_qps = {target_qps}
duration_seconds = {duration_seconds}
interval = 1.0 / target_qps # Time between requests
latencies = []
start_time = time.perf_counter()
request_count = 0
target_requests = target_qps * duration_seconds
while request_count < target_requests:
# Calculate when this request should start
expected_start = start_time + (request_count * interval)
now = time.perf_counter()
# Wait if we're ahead of schedule
if now < expected_start:
time.sleep(expected_start - now)
# Make request and measure latency
req_start = time.perf_counter_ns()
response = session.post(
f"{{server_url}}/api/realistic",
json={{"userId": f"user-{{request_count}}", "query": "search query", "email": "test@example.com"}},
)
response.json()
latencies.append(time.perf_counter_ns() - req_start)
request_count += 1
elapsed = time.perf_counter() - start_time
actual_qps = request_count / elapsed
# Calculate statistics
sorted_latencies = sorted(latencies)
results = {{
"target_qps": target_qps,
"actual_qps": round(actual_qps, 1),
"total_requests": request_count,
"duration_seconds": round(elapsed, 2),
"mean_ms": statistics.mean(latencies) / 1_000_000,
"p50_ms": sorted_latencies[len(sorted_latencies) // 2] / 1_000_000,
"p90_ms": sorted_latencies[int(len(sorted_latencies) * 0.90)] / 1_000_000,
"p99_ms": sorted_latencies[int(len(sorted_latencies) * 0.99)] / 1_000_000,
"min_ms": min(latencies) / 1_000_000,
"max_ms": max(latencies) / 1_000_000,
}}
session.close()
server.stop()
if "{mode}" == "RECORD":
sdk.shutdown()
import json
print("RESULTS_JSON:" + json.dumps(results))
'''
result = subprocess.run(
[sys.executable, "-c", script],
capture_output=True,
text=True,
cwd=os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))),
timeout=180,
)
if result.returncode != 0:
print(f"Error running benchmark ({mode}, {target_qps} QPS):")
print(result.stderr[-1000:])
return None
for line in result.stdout.split("\n"):
if line.startswith("RESULTS_JSON:"):
return json.loads(line.replace("RESULTS_JSON:", ""))
print("Could not find results in output")
return None
def main():
print("=" * 70)
print("Fixed QPS Latency Benchmark")
print("=" * 70)
print()
print("This test sends requests at a fixed rate to measure latency impact.")
print("Endpoint: POST /api/realistic (~10-15ms baseline)")
print()
# Test at multiple QPS levels (duration configurable via BENCHMARK_QPS_DURATION env var)
qps_levels = [25, 50, 75] # Requests per second
try:
duration = int(os.environ.get("BENCHMARK_QPS_DURATION", "10"))
except ValueError:
duration = 10 # Fall back to default on invalid input
results = {"baseline": {}, "sdk_100": {}, "sdk_10": {}}
for qps in qps_levels:
print(f"Testing at {qps} QPS...")
# Baseline
print(" Running baseline (SDK disabled)...")
baseline = run_fixed_qps_benchmark("DISABLED", qps, duration)
if baseline:
results["baseline"][qps] = baseline
print(f" Mean: {baseline['mean_ms']:.1f}ms, p99: {baseline['p99_ms']:.1f}ms")
# SDK 100%
print(" Running SDK (100% sampling)...")
sdk_100 = run_fixed_qps_benchmark("RECORD", qps, duration, sampling_rate=1.0)
if sdk_100:
results["sdk_100"][qps] = sdk_100
print(f" Mean: {sdk_100['mean_ms']:.1f}ms, p99: {sdk_100['p99_ms']:.1f}ms")
# SDK 10%
print(" Running SDK (10% sampling)...")
sdk_10 = run_fixed_qps_benchmark("RECORD", qps, duration, sampling_rate=0.1)
if sdk_10:
results["sdk_10"][qps] = sdk_10
print(f" Mean: {sdk_10['mean_ms']:.1f}ms, p99: {sdk_10['p99_ms']:.1f}ms")
print()
# Print summary table
print("=" * 70)
print("Results Summary: Latency at Fixed QPS")
print("=" * 70)
print()
print("### Mean Latency (ms)")
print()
print("| QPS | Baseline | SDK (100%) | Overhead | SDK (10%) | Overhead |")
print("|-----|----------|------------|----------|-----------|----------|")
for qps in qps_levels:
b = results["baseline"].get(qps, {})
s100 = results["sdk_100"].get(qps, {})
s10 = results["sdk_10"].get(qps, {})
if b and s100 and s10:
b_mean = b["mean_ms"]
s100_mean = s100["mean_ms"]
s10_mean = s10["mean_ms"]
overhead_100 = s100_mean - b_mean
overhead_10 = s10_mean - b_mean
pct_100 = (overhead_100 / b_mean) * 100 if b_mean > 0 else 0
pct_10 = (overhead_10 / b_mean) * 100 if b_mean > 0 else 0
print(
f"| {qps} | {b_mean:.1f}ms | {s100_mean:.1f}ms | +{overhead_100:.1f}ms ({pct_100:+.0f}%) | {s10_mean:.1f}ms | +{overhead_10:.1f}ms ({pct_10:+.0f}%) |"
)
print()
print("### P99 Latency (ms)")
print()
print("| QPS | Baseline | SDK (100%) | Overhead | SDK (10%) | Overhead |")
print("|-----|----------|------------|----------|-----------|----------|")
for qps in qps_levels:
b = results["baseline"].get(qps, {})
s100 = results["sdk_100"].get(qps, {})
s10 = results["sdk_10"].get(qps, {})
if b and s100 and s10:
b_p99 = b["p99_ms"]
s100_p99 = s100["p99_ms"]
s10_p99 = s10["p99_ms"]
overhead_100 = s100_p99 - b_p99
overhead_10 = s10_p99 - b_p99
pct_100 = (overhead_100 / b_p99) * 100 if b_p99 > 0 else 0
pct_10 = (overhead_10 / b_p99) * 100 if b_p99 > 0 else 0
print(
f"| {qps} | {b_p99:.1f}ms | {s100_p99:.1f}ms | +{overhead_100:.1f}ms ({pct_100:+.0f}%) | {s10_p99:.1f}ms | +{overhead_10:.1f}ms ({pct_10:+.0f}%) |"
)
print()
# Save results
results_dir = Path(__file__).parent.parent / "results"
results_dir.mkdir(exist_ok=True)
with open(results_dir / "fixed-qps-latency.json", "w") as f:
json.dump(results, f, indent=2)
print(f"Results saved to {results_dir / 'fixed-qps-latency.json'}")
if __name__ == "__main__":
main()