python进程池和队列_Python 线程池?

多线程简单使用案例：

from threading import Thread
import time

def crawl(url,page):
    time.sleep(3)
    print("n抓取第"+str(page)+"网页内容。抓取网页链接："+url)


threads = []

for page in range(1,11):
    threads.append(Thread(target=crawl, args=(f"http://www.zuowen.com/sucai/diangu/index_{str(page)}.shtml",str(page))))

for thread in threads:
    thread.start()

# 等待所有线程结束
for thread in threads:
    thread.join()

print("所有线程执行完毕！&^&")

线程池简单使用案例：

from concurrent.futures import ThreadPoolExecutor
import time

def crawl(url,page):
    time.sleep(3)
    print("n抓取第"+str(page)+"网页内容。抓取网页链接："+url)


with ThreadPoolExecutor(max_workers=3) as t:

    for page in range(1, 11):
        args = [f"http://www.zuowen.com/xiezuozd/xiezuofa/index_{str(page)}.shtml", str(page)]
        t.submit(lambda p: crawl(*p), args)

print("所有线程执行完毕！&^&")

多进程简单使用案例：

import time

def crawl(url,page):
    time.sleep(3)
    print("n抓取第"+str(page)+"网页内容。抓取网页链接："+url)


if __name__ == '__main__':

    processes = []

    for page in range(1, 11):
        processes.append(
            Process(target=crawl, args=(f"http://www.zuowen.com/sucai/diangu/index_{str(page)}.shtml", str(page))))

    for process in processes:
        process.start()

    for process in processes:
        process.join()

    print("所有进程执行完毕！&^&")

进程池简单使用案例：

# from concurrent.futures import ProcessPoolExecutor
import time
from concurrent.futures import ProcessPoolExecutor, as_completed
import random

def crawl(url,page):
    time.sleep(3)
    print("n抓取第"+str(page)+"网页内容。抓取网页链接："+url)


if __name__ == '__main__':

    with ProcessPoolExecutor(max_workers=3) as t:

        for page in range(1, 11):
            # args = [f"http://www.zuowen.com/xiezuozd/xiezuofa/index_{str(page)}.shtml", str(page)]
            t.submit(crawl,f"http://www.zuowen.com/xiezuozd/xiezuofa/index_{str(page)}.shtml",str(page))

    print("所有进程执行完毕！&^&")