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