Python uses multithreading for stress testing

#coding =utf-8

Import Urllib2

Import threading

Import time

Total = 0 #总数

SUCC = 0 #响应成功数

FAIL = 0 #响应失败数

EXCEPT = 0 #响应异常数

Maxtime=0 #最大响应时间

Mintime=100 #最小响应时间 with an initial value of 100 seconds

# Sub-class thread

Class Mythread (threading. Thread):

def __init__ (self, func, args, name= "):

Threading. Thread.__init__ (self)

Self.name = Name

Self.func = Func

Self.args = args

def getresult (self):

Return Self.res

def run (self):

Self.res = Apply (Self.func, Self.args)

def request_url (URL, R):

Global Total

Global SUCC

Global FAIL

Global EXCEPT

Try

st = Time.time ()

res = urllib2.urlopen (URL)

Status = Res.getcode ()

If status = = 200:

Total+=1

Succ+=1

Else

Total+=1

Fail+=1

Time_span = Time.time ()-st

MaxTime (Time_span)

Self.mintime (Time_span)

Except Exception, E:

Total+=1

Except+=1

def maxtime (TS):

Global MaxTime

If Ts>maxtime:

Maxtime=ts

def mintime (TS):

Global Mintime

If Ts<mintime:

Mintime=ts

def main ():

print ' ===========task start=========== '

# Time to start

Start_time = Time.time ()

# Number of concurrent threads

Thread_count = 100

i = 0

While I <= Thread_count:

t = Mythread (Request_url, ("http://www.baidu.com", "X"))

T.start ()

i + = 1

T=0

#并发数所有都完成或大于20秒就结束

While total<thread_count|t>2:

Print "total:%d,succ:%d,fail:%d,except:%d\n"% (total,succ,fail,except)

T+=1

Time.sleep (1)

print ' ===========task end=========== '

Print "total:%d,succ:%d,fail:%d,except:%d"% (total,succ,fail,except)

print ' response maxtime: ', maxtime

print ' response mintime ', mintime

s = raw_input ("Press any Key")

Print "bay!"

Pass

if __name__ = = "__main__":

Main ()

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Python uses multithreading for stress testing