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scale_test.py
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scale_test.py
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from utils import *
def scale_test(
rd_id,
runtime,
mem_size,
max_concurrent,
sleep_tm,
wait_tm,
log_file="tmp.log"):
func_prex = "scale"
aws_id, aws_key, region, roles = get_config_basic()
role = roles[0]
zipped_code_path = os.path.join(os.getcwd(), "tmp.zip")
func_handler = "index.handler"
step = 5
def worker_func(fop, **args):
para = get_default_req(sleep_tm)
res = fop.send_one_request(para)
return res
exp = Worker(log_file, rd_id, max_concurrent + 5, worker_func)
exp.init()
src_code_path = os.path.join(os.getcwd(), CODE_PATH[runtime])
zip_code(zipped_code_path, src_code_path)
for con_no in xrange(0, max_concurrent + 1, step):
if con_no == 0:
con_no = 1
para_list = []
fops = []
for i in xrange(con_no):
func_name = func_prex + str(int(time.time() * 1000))[-8:]
fop = FuncOp(
aws_id,
aws_key,
region,
role,
runtime,
mem_size,
func_name)
fop.del_function()
fop.create_function(zipped_code_path, func_handler)
para = (fop,)
para_list.append(para)
fops.append(fop)
exp.add_tasks(para_list)
exp.clear_queue()
for fop in fops:
fop.del_function()
time.sleep(wait_tm)
def main():
runtime_list = ['python2.7']
mem_list = [128]
rd_id = 1
log_file = "tmp.log"
max_concurrent = 5
sleep_tm = 10
wait_tm = 0
open(log_file, "w")
for rd_id in xrange(1):
for runtime in runtime_list:
for mem_size in mem_list:
scale_test(
rd_id,
runtime,
mem_size,
max_concurrent,
sleep_tm,
wait_tm,
log_file)
if __name__ == '__main__':
main()