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cluster_start.py
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import atexit
import sys
import time
from subprocess import Popen
import ipyparallel as ipp
from benchmarks.throughput import wait_for
def start_cluster(depth, number_of_engines, path='', log_output_to_file=False):
ipcontroller_cmd = (
f'{path}ipcontroller --profile=asv --nodb '
f'--cluster-id=depth_{depth} '
f'--HubFactory.broadcast_scheduler_depth={depth} '
f'--HubFactory.db_class=NoDB'
)
print(ipcontroller_cmd)
ipengine_cmd = f'{path}ipengine --profile=asv --cluster-id=depth_{depth} '
ps = [
Popen(
ipcontroller_cmd.split(),
stdout=(
open('ipcontroller_output.log', 'a+')
if log_output_to_file
else sys.stdout
),
stderr=(
open('ipcontroller_error_output.log', 'a+')
if log_output_to_file
else sys.stdout
),
stdin=sys.stdin,
)
]
time.sleep(2)
client = ipp.Client(profile='asv', cluster_id=f'depth_{depth}')
print(ipengine_cmd)
for i in range(number_of_engines):
ps.append(
Popen(
ipengine_cmd.split(),
stdout=(
open('ipengine_output.log', 'a+')
if log_output_to_file
else sys.stdout
),
stderr=(
open('ipengine_error_output.log', 'a+')
if log_output_to_file
else sys.stdout
),
stdin=sys.stdin,
)
)
if i % 10 == 0:
wait_for(lambda: len(client) >= i - 10)
if i % 20 == 0:
time.sleep(2)
print(f'{len(client)} engines started')
return ps
if __name__ == '__main__':
if len(sys.argv) > 3:
depth = sys.argv[1]
number_of_engines = int(sys.argv[3])
else:
depth = 3
number_of_engines = 30
ps = start_cluster(depth, number_of_engines)
for p in ps:
p.wait()
def clean_up():
for p in ps:
p.kill()
atexit.register(clean_up)