process_进程池

from multiprocessing import Pool
import os,time
import multiprocessing
def func(msg):
    print("msg:", msg)
    time.sleep(3)
    print("end")
    return "done" + msg
#使用进程池，异步调用
# if __name__ == "__main__":
#     pool = multiprocessing.Pool(processes = 3)
#     result=[]
#     for i in range(6):
#         msg = "hello %d" %(i)
#         result.append(pool.apply_async(func, (msg, )))
#
#     print("Mark~ Mark~ Mark~~~~~~~~~~~~~~~~~~~~~~")
#     pool.close()
#     pool.join()
#     print(result)#<multiprocessing.pool.ApplyResult object at 0x0000027826D1F160>
#     for res in result:
#         print(res.get())
#     print("Sub-process(es) done.")

'''
Mark~ Mark~ Mark~~~~~~~~~~~~~~~~~~~~~~
msg: hello 0
msg: hello 1
msg: hello 2
end
msg: hello 3
end
end
msg: hello 4
msg: hello 5
end
end
end
[<multiprocessing.pool.ApplyResult object at 0x0000027826D1F160>]
donehello 0
donehello 1
donehello 2
donehello 3
donehello 4
donehello 5
Sub-process(es) done.
'''

#使用进程池，同步调用
if __name__ == "__main__":
    pool = multiprocessing.Pool(processes = 3)
    result=[]
    for i in range(6):
        msg = "hello %d" %(i)
        result.append(pool.apply(func, (msg, )))

    print("Mark~ Mark~ Mark~~~~~~~~~~~~~~~~~~~~~~")
    pool.close()
    pool.join()
    print(result)#

    print("Sub-process(es) done.")
'''
msg: hello 0
end
msg: hello 1
end
msg: hello 2
end
msg: hello 3
end
msg: hello 4
end
msg: hello 5
end
Mark~ Mark~ Mark~~~~~~~~~~~~~~~~~~~~~~
['donehello 0', 'donehello 1', 'donehello 2', 'donehello 3', 'donehello 4', 'donehello 5']
Sub-process(es) done.
'''