1.Python创建多线程的方法
①准备一个函数:
def my_func(a,b):
do_craw(a,b)
②创建一个线程:
import threading
t=threading.Thread(target=my_func,args=(100,200))
③启动线程:
t.start()
④等待结束:
t.join
例如:
import threading
def work():
print("working")
for i in range(5):
t = threading.Thread(target=work)
t.start()
print("please wait!")
t.join()
输出结果:
please wait!
working
please wait!
working
please wait!
working
please wait!
working
please wait!
working
Process finished with exit code 0
也可以传递参数:
import threading
def work(i):
print("%i is working" % i)
for i in range(5):
t = threading.Thread(target=work, args=(i,))
t.start()
print("please wait!")
t.join()
输出结果:
0 is workingplease wait!
1 is workingplease wait!
2 is workingplease wait!
3 is workingplease wait!
4 is workingplease wait!
每个Thread实例都有一个带有默认值的名字,也可以传入name参数更改。
import threading
import time
def work():
print(threading.current_thread().getName(), "starting!")
time.sleep(0.5)
print(threading.current_thread().getName(), "end!")
t = threading.Thread(name="worker", target=work)
t.start()
print("please wait!")
t.join()
输出结果:
worker starting!
please wait!
worker end!
2.改写爬虫程序,变成多线程爬取
import requests
urls=[
f"http://www.cnblogs.com/#p{page}"
for page in range(1,50+1)
]
def craw(url):
r=requests.get(url)
print(url,len(r.text))
craw(urls[0])
输出结果:
raise ValueError("check_hostname requires server_hostname")
ValueError: check_hostname requires server_hostname
单线程和多线程的对比:
import blog_spider
import threading
def single_thread():
for url in blog_spider.urls:
blog_spider.craw(url)
def multi_thread():
threads=[]
for url in blog_spider.urls:
threads.append(
threading.Thread(target=blog_spider.craw,args=(url,))
)
for thread in threads:
thread.start()
for thread in threads:
thread.join()
if __name__=="__main__":
start=time.time()
single_thread()
end=time.time()
print("single thread cost:",end-start,"seconds")
3.速度对比:单线程爬虫VS多线程爬虫
在这个例子中,代码改写后,代码快了16倍。
参考资料:
B站《使用多线程,Pyhton爬虫被加速10倍》
本文介绍了Python创建多线程的方法,并通过示例展示了如何将爬虫程序改写为多线程版本。在速度对比中,多线程爬虫比单线程快了16倍,凸显了多线程在爬虫效率上的优势。
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