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增加吞吐率测试程序

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李云帆 2 years ago
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      fe/tps/testTps.py

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fe/tps/testTps.py View File

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from fe.bench.workload import Workload
from fe.bench.workload import NewOrder
from fe.bench.workload import Payment
import matplotlib.pyplot as plt
import time
import threading
import logging
import requests
def testThroughPut():
wl = Workload()
wl.gen_database()
new_order_request = []
for i in range(0, wl.procedure_per_session):
new_order = wl.get_new_order()
new_order_request.append(new_order)
# logging.info('order loaded.')
tot_order_count = 0
ok_order_count = 0
time_order = 0
tot_payment_count = 0
ok_payment_count = 0
time_payment = 0
payment_request = []
for new_order in new_order_request:
before = time.time()
ok, order_id = new_order.run()
after = time.time()
time_order += after - before
tot_order_count += 1
if ok:
ok_order_count += 1
payment = Payment(new_order.buyer, order_id)
payment_request.append(payment)
for payment in payment_request:
before = time.time()
ok = payment.run()
after = time.time()
time_payment += after - before
tot_payment_count += 1
if ok:
ok_payment_count += 1
global s_tot_order_count, s_ok_order_count, s_time_order, s_tot_payment_count, s_ok_payment_count, s_time_payment, lock
lock.acquire()
s_tot_order_count += tot_order_count
s_ok_order_count += ok_order_count
s_time_order += time_order
s_tot_payment_count += tot_payment_count
s_ok_payment_count += ok_payment_count
s_time_payment += time_payment
lock.release()
lock = threading.Lock()
def draw_plot(threadsNum, tps_order, latency_order, tps_payment, latency_payment):
plt.style.use('seaborn')
fig, ax = plt.subplots(1,2, figsize=(14, 7))
ax[0].plot(threadsNum, tps_order, marker = 'o', label='tps_order')
ax[1].plot(threadsNum, latency_order, marker = 'o', label='latency_order')
ax[0].plot(threadsNum, tps_payment, marker = '^', label='tps_payment')
ax[1].plot(threadsNum, latency_payment, marker = '^', label='latency_payment')
ax[0].set_xlabel('Concurrency requests number')
ax[0].set_ylabel('Throughput(requests/s)')
ax[1].set_xlabel('Concurrency requests number')
ax[1].set_ylabel('latency(s)')
ax[0].legend()
ax[1].legend()
plt.savefig('fe/tps/tps_latency_pic.png')
if __name__ == '__main__':
threadsNumList = [1, 2, 5, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150]
repeatTime = 3
tps_order = []
latency_order = []
tps_payment = []
latency_payment = []
logging.basicConfig(level=logging.INFO, filename='fe/tps/testTps.log')
print('Test started.')
for threadsNum in threadsNumList:
print('Testing threads: %d' % threadsNum)
m_tps_order = 0
m_latency_order = 0
m_tps_payment = 0
m_latency_payment = 0
for _ in range(repeatTime):
s_tot_order_count = 0
s_ok_order_count = 0
s_time_order = 0
s_tot_payment_count = 0
s_ok_payment_count = 0
s_time_payment = 0
logging.info("ThreadsNum: %d" % threadsNum)
threads = []
for jk in range(threadsNum):
s = threading.Thread(target=testThroughPut)
threads.append(s)
for t in threads:
t.start()
for t in threads:
t.join()
logging.info("ok_rate_order:{:.2f}%, tps_order:{:.2f}, latency_order:{:.6f}, ok_rate_payment:{:.2f}%, tps_payment:{:.2f}, latency_payment:{:.6f}".format(
s_ok_order_count / s_tot_order_count * 100, s_ok_order_count / (s_time_order / threadsNum), s_time_order / s_tot_order_count,
s_ok_payment_count / s_tot_payment_count * 100, s_ok_payment_count / (s_time_payment / threadsNum), s_time_payment / s_tot_payment_count))
m_tps_order += s_ok_order_count / (s_time_order / threadsNum)
m_latency_order += s_time_order / s_tot_order_count
m_tps_payment += s_ok_payment_count / (s_time_payment / threadsNum)
m_latency_payment += s_time_payment / s_tot_payment_count
tps_order.append(m_tps_order / repeatTime)
latency_order.append(m_latency_order / repeatTime)
tps_payment.append(m_tps_payment / repeatTime)
latency_payment.append(m_latency_payment / repeatTime)
draw_plot(threadsNumList, tps_order, latency_order, tps_payment, latency_payment)
print('Test finished. Result: fe/tps/tps_latency_pic.png')

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