我试图运行的想法是这样的:
运行 3 进程进行计算一旦 3 个进程中的一个完成任务立即杀死其他人并继续执行主要任务,我不能让它再运行一秒钟了
我尝试过的事情是: 将全局变量通过multiprocessing.manager,但这仍然允许进程完成其循环。 引发异常
操作系统:视窗蟒蛇:2.7
def f(name):
Doing = True
try:
while Doing:
print 'DOING',name
somecodethatmarksDoingAsFalse()
except Exception as error:
print 'bye'
print error
Doing = False
return True
if __name__ == '__main__':
p = multiprocessing.Process(target=f, args=('bob',))
p2 = multiprocessing.Process(target=f, args=('tom',))
p.start()
p2.start()
p.join()
p2.join()
raise Exception('I know Python!')
sys.exit()
我希望当我将 do 标记为 false 时能够杀死所有进程,在其中一个进程上完成计算时引发异常或以任何方式
编辑:它不是重复的,因为它仍然完成执行代码,例如请求模块仍然发送数据
如果需要即时终止,可以使用multiprocessing.Event
通知父进程满足的条件,并让它立即终止工作进程。管理器进程对于所需的少量同步来说太重量级了。
import os
from datetime import datetime
from multiprocessing import Process, Event
def worker(range_, target, found_event):
print('{} | pid: {} started'.format(datetime.now(), os.getpid()))
for x in range_:
if x == target:
print('{} | pid: {} found target'.format(
datetime.now(), os.getpid())
)
found_event.set()
if __name__ == "__main__":
N_WORKERS = 4
step = int(200e6)
ranges = [range(x, x + step) # change `range` to `xrange` for Python 2
for x in range(0, N_WORKERS * step, step)]
# range(0, 200000000), ..., range(800000000, 1000000000)]
target = int(150e6) # <-- worker finding this value triggers massacre
found_event = Event()
pool = [Process(target=worker, args=(range_, target, found_event))
for range_ in ranges]
for p in pool:
p.start()
found_event.wait() # <- blocks until condition met
print('{} | terminating processes'.format(datetime.now()))
for p in pool:
p.terminate()
for p in pool:
p.join()
print('{} | all processes joined'.format(datetime.now()))
示例输出:
2019-01-17 01:55:33.781884 | pid: 28376 started
2019-01-17 01:55:33.782333 | pid: 28377 started
2019-01-17 01:55:33.782851 | pid: 28378 started
2019-01-17 01:55:33.783484 | pid: 28379 started
2019-01-17 01:55:54.715425 | pid: 28376 found target
2019-01-17 01:55:54.715613 | terminating processes
2019-01-17 01:55:54.716326 | all processes joined
Process finished with exit code 0