解决方法:
把代码加到main中执行,有时能加速6倍左右
改之前:
p = ProcessPoolExecutor(max_workers=3)
results = p.map(task, URLS,range(3))
p.shutdown(wait=True)
for ret,url in results:
print(ret,url)
改之后:
if __name__ == "__main__":
p = ProcessPoolExecutor(max_workers=3)
results = p.map(task, URLS,range(3))
p.shutdown(wait=True)
for ret,url in results:
print(ret,url)
二.使用ProcessPoolExecutor
在concurrent.futures 库中有ThreadPoolExecutor(多线程),ProcessPoolExecutor(多进程)
ThreadPoolExecutor,ProcessPoolExecutor的区别:
ThreadPoolExecutor:
ThreadPoolExecutor多线程并行执行任务,可以