python 进程池实现

import time
from multiprocessing import Pool,Process
import os


class A:
    def pp(self,i):
        n = 0
        while n < 4:
            print(self," %s  is running..." %i,os.getpid())
            time.sleep(1)
            n += 1
        return i
        
class B:
    def aa(self):
        ss = []
        n = 0
        while n < 3:
            print(self,"is running...",os.getpid())
            time.sleep(2)
            n += 1
            ss.append(n)
        return ss
        
        
p = Pool()
a = A()
b = B()
kk = {}
t1 = time.time()
for i in range(6):
    aa = p.apply_async(a.pp,args=(i,))
    kk[i] = aa
bb = p.apply_async(b.aa)
kk[6] = bb
p.close()
p.join()
t2 = time.time()
rr = []
for i in kk:
    rr.append(kk[i].get())
print(rr)
print("use time %s" % int(t2-t1))

得到的结果:

<__main__.A object at 0x11bb5af10>  0  is running... 70565
<__main__.A object at 0x11bb5af10>  2  is running... 70567
<__main__.A object at 0x11bb5af10>  3  is running... 70568
<__main__.A object at 0x11daaf4d0>  4  is running... 70566
<__main__.A object at 0x11daaf4d0>  5  is running... 70565
<__main__.B object at 0x11da93c90> is running... 70567
<__main__.A object at 0x11daaf4d0>  4  is running... 70566
<__main__.A object at 0x11daaf4d0>  5  is running... 70565
<__main__.A object at 0x11daaf4d0>  4  is running... 70566
<__main__.B object at 0x11da93c90> is running... 70567
<__main__.A object at 0x11daaf4d0>  5  is running... 70565
<__main__.A object at 0x11daaf4d0>  4  is running... 70566
<__main__.A object at 0x11daaf4d0>  5  is running... 70565
<__main__.B object at 0x11da93c90> is running... 70567
[0, 1, 2, 3, 4, 5, [1, 2, 3]]
use time 10

你可能感兴趣的:(python 进程池实现)