上篇部落格協程asyncio+aiohttp模組非同步採集資料，效率比多執行緒或多程序高很多。是否還能再優化，利用多程序+協程將效率翻倍呢？

程式碼：

（參照 L瑜的文章：<python中多程序+協程的使用以及為什麼要用它>寫了如下測試，非同步部分沒有用gevent而是asyncio)

import asyncio
import threading
import multiprocessing
from multiprocessing import Queue ,Pool,Process
#import aiohttp

import os

async def hello(name):
    print
 
('hello {}{}**********{}'.format(name,os.getpid(),threading.current_thread()))
    #await asyncio.sleep(int(name))
await asyncio.sleep(1)
    print('end:{}{}'.format(name,os.getpid()))

def process_start(*namelist):
    tasks=[]
    loop=asyncio.get_event_loop()
    for name in namelist:
        tasks.append(asyncio.ensure_future(hello(name)))
    loop.run_until_complete(asyncio.wait(tasks))

def 
 
task_start(namelist):
    i=0
lst=[]
    flag=10
while namelist:
        i+=1
l=namelist.pop()
        lst.append(l)
        if i==flag:
            p=Process(target=process_start,args=lst)
            p.start()
            #p.join()
lst=[]
            i=0
if namelist!=[]:
        p=Process(target=process_start,args
 
=lst)
        p.start()
        #p.join()
if __name__=='__main__':
    namelist=list('0123456789'*10)
    task_start(namelist)
'''
loop=asyncio.get_event_loop()
tasks=[]
namelist=list('0123456789'*10)
for i in namelist:
    tasks.append(asyncio.ensure_future(hello(i)))
loop.run_until_complete(asyncio.wait(tasks))'''

誰有多核的電腦執行下哈 我這單核的跑不出來效率