Python 3.x Python多处理池:如何获取当前运行的所有进程
使用Python3的多处理,如何获得工作进程当前执行的作业。在下面的简化示例中,我将变量Python 3.x Python多处理池:如何获取当前运行的所有进程,python-3.x,python-multiprocessing,Python 3.x,Python Multiprocessing,使用Python3的多处理,如何获得工作进程当前执行的作业。在下面的简化示例中,我将变量x也定义为特定进程的ID,这就是我要寻找的 from multiprocessing import Pool done_tasks = [] def f(x): return x*x def on_task_done(x): done_tasks.append(x) if __name__ == '__main__': pool = multiprocessing.Pool(p
x
也定义为特定进程的ID,这就是我要寻找的
from multiprocessing import Pool
done_tasks = []
def f(x):
return x*x
def on_task_done(x):
done_tasks.append(x)
if __name__ == '__main__':
pool = multiprocessing.Pool(processes=3)
ids = [0, 1, 2, 3, 4, ...]
for id in ids:
pool.apply_async(start_worker, id, callback=on_task_done)
# wait and print currently running processes
while True:
# TODO print currently running processes
if len(done_tasks) >= len(ids):
break
具体来说,我如何找到工作进程在任何给定时间点(例如,在循环中等待提交到池的所有作业完成时)当前正在执行的进程的ID 您可以使用实例创建一个dict
,该dict可用于存储当前正在运行的作业的ID。以下是如何做到这一点:
import uuid
import time
import random
from multiprocessing import Pool, Manager
done_tasks = []
def square(x, procs):
pid = uuid.uuid4().hex
procs[pid] = True
# Simulate a long-running task:
time.sleep(random.randint(1, 3))
procs[pid] = False
return x * x
def on_task_done(results):
done_tasks.append(results)
def main():
m = Manager()
procs = m.dict()
pool = Pool(processes=2)
for x in range(10):
pool.apply_async(square, args=(x, procs), callback=on_task_done)
while len(done_tasks) < 10:
pids = [pid for pid, running in procs.items() if running]
print('running jobs:', pids)
time.sleep(1)
print('results:', done_tasks)
pool.close()
pool.join()
if __name__ == '__main__':
main()
嗨,非常感谢你的回答!您确定
任务\u done
为空吗?我的非简化示例运行得很好,根据文档,回调函数(在简化示例中on_task_done)
在主进程中执行(因此每个工作进程都不会调用),因此每当调用on_task_done
时,它都会看到相同的列表。
running jobs: []
running jobs: ['949784a09e1d4f09b647cae584e86277', 'de3c23dd3c174e9a8d7f5c2a7d89a183']
running jobs: ['de3c23dd3c174e9a8d7f5c2a7d89a183']
running jobs: ['47f536e9e3584e808bd7475ad43ee49a']
running jobs: ['e06d73341d774f86a8a00d0bb2914642', '874b194b548e4f47b02859b4f704a4f2']
running jobs: ['874b194b548e4f47b02859b4f704a4f2', 'cb95a6bcc8ff47bba271cb845a919245']
running jobs: ['3c9fbf7e4c604dedae033b7ef93c3523', '4863c18062504a8190b415bc42874bb7']
running jobs: ['3c9fbf7e4c604dedae033b7ef93c3523', '4863c18062504a8190b415bc42874bb7']
running jobs: ['3c9fbf7e4c604dedae033b7ef93c3523', '4863c18062504a8190b415bc42874bb7']
running jobs: ['2f896b86aa1647fea63c522fb2c67684', 'aba21db1b1af4fd8896a6b59534a254f']
running jobs: ['2f896b86aa1647fea63c522fb2c67684']
running jobs: ['2f896b86aa1647fea63c522fb2c67684']
results: [0, 1, 4, 9, 16, 25, 36, 49, 81, 64]