项目上线前必须进行压力测试，验证接口并发能力、服务器负载、数据库承压上限。结合阿里云压测平台，搭配自定义Python脚本，可快速模拟万级并发，精准定位性能瓶颈。
分享高并发自动化压测脚本，自动统计成功率、耗时、并发指标。
核心实操代码：
import threading
import requests
import time
压测配置
TEST_URL = "你的阿里云FC/ECS接口地址"
THREAD_NUM = 80 # 并发线程数
REQ_PER_THREAD = 120 # 单线程请求次数
success_count = 0
fail_count = 0
单线程请求逻辑
def press_test():
global success_count, failcount
for in range(REQ_PER_THREAD):
try:
res = requests.post(TEST_URL, json={"test": "pressure"})
if res.status_code == 200:
success_count += 1
else:
fail_count += 1
except Exception as e:
fail_count += 1
启动压测
def start_pressure_test():
start = time.time()
threadlist = []
for in range(THREAD_NUM):
t = threading.Thread(target=press_test)
thread_list.append(t)
t.start()
for t in thread_list:
t.join()
total = THREAD_NUM * REQ_PER_THREAD
cost = round(time.time() - start, 2)
print(f"总请求数：{total} | 成功：{success_count} | 失败：{fail_count}")
print(f"总耗时：{cost}s | QPS：{round(total/cost,2)}")
if name == "main":
start_pressure_test()
脚本可精准模拟线上高并发场景，配合阿里云ECS监控、RDS监控、Tair监控，可快速定位接口超时、数据库瓶颈、服务过载问题，保障项目稳定上线。
