Spread locust.io across cores using the multiprocessing library

gistfile1.txt

import sys
import subprocess
import multiprocessing


# use htop to see the utilization rates spread across cores
# use locust --help to see all the options

# the cmd launches 500 concurrent users on each core, hatch 5 per second, issue 10k requests then stops 
# logs to results.txt, prints the summary in the terminal

cmd = "locust --no-web  --clients=500 --hatch-rate=5 --num-request=10000 \
		--logfile=results.txt --print-stats --only-summary --host=https://yourtargeturl.com"

num_workers = multiprocessing.cpu_count()


def create_worker():
   sys.exit(subprocess.call(cmd, shell=True))


if __name__ == '__main__':
	jobs = [] # multiprocess.jobs
	for i in range(num_workers):
		p = multiprocessing.Process(target=create_worker)
		jobs.append(p)
		p.start()