Python多进程 | 易学教程

multiprocessing

多进程multiprocessing模块和多线程threading模块的使用方式很类似，在CPU密集型的程序中多线程并不能达到高效运转的效果，为了发挥多核CPU的优势使用多进程更有效果

# -*- coding: utf-8 -*-
import multiprocessing
import requests
from time import ctime
import json



def syc_email(userID, userName):
    """syc_email"""

    print("Start synchronizing %s %s" % ("email", ctime()))
    parameter = {"userId":userID,"userName":userName,"enterpriseId":"10330","flag":"sended"}
    request_own = requests.put("https://xxxxxx.leadscloud.com/mail/receiveSendedAndRubbishMail", data=parameter)
    data = request_own.json()
    print(json.dumps(data, indent=4, sort_keys=True, ensure_ascii=False) )
    print("接口调用已经返回结果，本次同步结束")


dicts = {'1263':'13810078954','1294':'13810327625','1223':'18515934978','1295':'13911154792'}
threads = []
files = range(len(dicts))

for userID, userName in dicts.items():
    mp = multiprocessing.Process(target = syc_email, args = (userID, userName))
    threads.append(mp)

if __name__ == '__main__':
    for p in files:
        threads[p].start()
    for p in files:
        threads[p].join()
    print('all end: %s' % ctime())

执行结果

PS C:\Users\Administrator\Desktop> python .\multipreocess.py
Start synchronizing email Thu Mar 21 13:54:26 2019
Start synchronizing email Thu Mar 21 13:54:26 2019
Start synchronizing email Thu Mar 21 13:54:26 2019
Start synchronizing email Thu Mar 21 13:54:26 2019
{
    "code": 1,
    "data": 0,
    "msg": "成功"
}
接口调用已经返回结果，本次同步结束
{
    "code": 1,
    "data": 0,
    "msg": "成功"
}
接口调用已经返回结果，本次同步结束
{
    "code": 1,
    "data": 0,
    "msg": "成功"
}
接口调用已经返回结果，本次同步结束
{
    "code": 1,
    "data": 0,
    "msg": "成功"
}
接口调用已经返回结果，本次同步结束
all end: Thu Mar 21 14:03:22 2019

# -*- coding: utf-8 -*-
from selenium import webdriver
from time import sleep
from time import ctime
import multiprocessing


def start_browser(browser, time):
    if browser == "chrome":
        print("starting chrome browser now! %s" % ctime())  # 控制台打印当前时间 
        chrome_driver = webdriver.Chrome()
        chrome_driver.get("http://www.baidu.com")
        sleep(time)
        chrome_driver.quit()
    elif browser == "firefox":
        print("starting firefox browser now! %s" % ctime())  # 控制台打印当前时间
        fire_driver = webdriver.Firefox()
        fire_driver.get("http://www.baidu.com")
        sleep(time)
        fire_driver.quit()
    else: 
        print("starting ie browser now! %s" %ctime())  # 控制台打印当前时间
        ie_driver = webdriver.Ie()
        ie_driver.get("http://www.baidu.com")
        sleep(time)
        ie_driver.quit()


#  定义字典参数        
browser_dict = {"chrome": 3, "firefox": 4}
#  定义空List用于存储进程
start_browser_processing = []
#  循环字典Key-Value，创建进程并加入到List中
for browser, time in browser_dict.items():
    processing_browser = multiprocessing.Process(target=start_browser, args=(browser, time))
    start_browser_processing.append(processing_browser)

if __name__ == '__main__':
    for processing_browser in range(len(browser_dict)):
        start_browser_processing[processing_browser].start()
    for processing_browser in range(len(browser_dict)):
        start_browser_processing[processing_browser].join()
    print(u"全部结束 %s" % ctime())

来源：https://www.cnblogs.com/davieyang/p/11684334.html

标签

多进程

data

python