PYTHON：多线程创建加速

原创于 2024-02-02 18:11:35 发布 · 508 阅读

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本文介绍了如何在Python中使用多线程技术来加速程序执行，通过对比单线程和多线程爬取网页示例，展示了多线程在减少资源消耗上的优势。

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一般的程序都是顺序执行，资源消耗开销大，我们可使用多线程方式加速，以下为例，仅供参考研究：

"python创建多线程"
import requests
import threading
import time

urls = [
    f'https://www.cnblogs.com/#p{page}'
    for page in range(1,50+1)
]

def craw(url):
    response = requests.get(url)
    print(url,len(response.text))


def single_thread():
    print("single_thread begin!")
    for url in urls:
        craw(url)
    print("single_thread end!")


def multi_thread():
    print("multi_thread begin!")
    threads = []
    for url in urls:
        threads.append(
            threading.Thread(target=craw,args=(url,))
        )
    # 线程开始
    for thread in threads:
        thread.start()

    # 线程等待
    for thread in threads:
        thread.join()
    print("multi_thread end!")

if __name__ =="__main__":
    start = time.time()
    single_thread()
    end = time.time()
    print("single thread:",end - start)
    start = time.time()
    multi_thread()
    end = time.time()
    print("multi_thread:", end - start)

单线程时间结果