python AsyncResult.successful()不返回
我正在尝试python多处理。我希望两个相互独立的进程并行运行,当它们返回时,使用ApplyAsync.successful实用程序检查该进程是否成功。但是,当我在对子进程的回调中调用successful时,脚本挂起python AsyncResult.successful()不返回,python,parallel-processing,deadlock,python-multiprocessing,Python,Parallel Processing,Deadlock,Python Multiprocessing,我正在尝试python多处理。我希望两个相互独立的进程并行运行,当它们返回时,使用ApplyAsync.successful实用程序检查该进程是否成功。但是,当我在对子进程的回调中调用successful时,脚本挂起 import multiprocessing as mp import time result_map = {} def foo_pool(x): time.sleep(2) print x return x result_list = [] def
import multiprocessing as mp
import time
result_map = {}
def foo_pool(x):
time.sleep(2)
print x
return x
result_list = []
def log_result(result):
print result_map[result].successful() #hangs
result_list.append(result)
def apply_async_with_callback():
pool = mp.Pool()
for i in range(10):
result_map[i] = pool.apply_async(foo_pool, args = (i, ), callback = log_result)
pool.close()
pool.join()
print(result_list)
if __name__ == '__main__':
apply_async_with_callback()
您不需要检查successful,因为只有在结果成功时才会调用回调
以下是相关代码multiprocessing/pool.py-AsyncResult
可以非常感谢。我面临着另一个类似的问题,如果我让子进程休眠100秒,同时使用sudo kill-9杀死子进程,子进程将永远不会返回。由于资源耗尽或任何其他问题,我想注册一个子进程被终止事件。@ishu,作为一个单独的问题发布怎么样?
def _set(self, i, obj):
self._success, self._value = obj
if self._callback and self._success: # <-----
self._callback(self._value) # <-----
self._cond.acquire()
try:
self._ready = True
self._cond.notify()
finally:
self._cond.release()
del self._cache[self._job]