python并发编程-进程池的返回值

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p = Pool()
p.map(funcname,iterable)     默认异步的执行任务,且自带close和join
p.apply   同步调用的
p.apply_async 异步调用 和主进程完全异步 需要手动close 和 join
from multiprocessing import Pool
def func(i):
    return i*i

if __name__ == '__main__':
    p = Pool(5)
    for i in range(10):
        res = p.apply(func,args=(i,))   # apply的结果就是func的返回值
        print(res)

import time
from multiprocessing import Pool
def func(i):
    time.sleep(0.5)
    return i*i

if __name__ == '__main__':
    p = Pool(5)
    res_l = []
    for i in range(10):
        res = p.apply_async(func,args=(i,))   # apply的结果就是func的返回值
        res_l.append(res)
    for res in res_l:print(res.get())# 等着 func的计算结果

import time
from multiprocessing import Pool
def func(i):
    time.sleep(0.5)
    return i*i

if __name__ == '__main__':
    p = Pool(5)
    ret = p.map(func,range(100))
    print(ret)