我正在尝试使用一组计算机集群来运行数百万个小型模拟。为此，我尝试在我的主要计算机上设置了两个“服务器”，一个用于将输入变量添加到网络中的队列中，另一个用于处理结果。
以下是将内容放入模拟变量队列的代码：
"""This script reads start parameters and calls on run_sim to run the
simulations"""
import time
from multiprocessing import Process, freeze_support, Manager, Value, Queue, current_process
from multiprocessing.managers import BaseManager
class QueueManager(BaseManager):
pass
class MultiComputers(Process):
def __init__(self, sim_name, queue):
self.sim_name = sim_name
self.queue = queue
super(MultiComputers, self).__init__()
def get_sim_obj(self, offset, db):
"""returns a list of lists from a database query"""
def handle_queue(self):
self.sim_nr = 0
sims = self.get_sim_obj()
self.total = len(sims)
while len(sims) > 0:
if self.queue.qsize() > 100:
self.queue.put(sims[0])
self.sim_nr += 1
print(self.sim_nr, round(self.sim_nr/self.total * 100, 2), self.queue.qsize())
del sims[0]
def run(self):
self.handle_queue()
if __name__ == '__main__':
freeze_support()
queue = Queue()
w = MultiComputers('seed_1_hundred', queue)
w.start()
QueueManager.register('get_queue', callable=lambda: queue)
m = QueueManager(address=('', 8001), authkey=b'abracadabra')
s = m.get_server()
s.serve_forever()
接下来，这个队列被运行以处理模拟结果：
__author__ = 'axa'
from multiprocessing import Process, freeze_support, Queue
from multiprocessing.managers import BaseManager
import time
class QueueManager(BaseManager):
pass
class SaveFromMultiComp(Process):
def __init__(self, sim_name, queue):
self.sim_name = sim_name
self.queue = queue
super(SaveFromMultiComp, self).__init__()
def run(self):
res_got = 0
with open('sim_type1_' + self.sim_name, 'a') as f_1:
with open('sim_type2_' + self.sim_name, 'a') as f_2:
while True:
if self.queue.qsize() > 0:
while self.queue.qsize() > 0:
res = self.queue.get()
res_got += 1
if res[0] == 1:
f_1.write(str(res[1]) + '\n')
elif res[0] == 2:
f_2.write(str(res[1]) + '\n')
print(res_got)
time.sleep(0.5)
if __name__ == '__main__':
queue = Queue()
w = SaveFromMultiComp('seed_1_hundred', queue)
w.start()
m = QueueManager(address=('', 8002), authkey=b'abracadabra')
s = m.get_server()
s.serve_forever()
这些脚本在处理前7-800个模拟时按预期工作，但在那之后，我在运行接收结果脚本的终端中遇到了以下错误：
Exception in thread Thread-1:
Traceback (most recent call last):
File "C:\Python35\lib\threading.py", line 914, in _bootstrap_inner
self.run()
File "C:\Python35\lib\threading.py", line 862, in run
self._target(*self._args, **self._kwargs)
File "C:\Python35\lib\multiprocessing\managers.py", line 177, in accepter
t.start()
File "C:\Python35\lib\threading.py", line 844, in start
_start_new_thread(self._bootstrap, ())
RuntimeError: can't start new thread
有人能解释一下线程是在哪里和如何生成的吗？每次调用queue.get()时是否会生成新的线程，或者它是如何工作的？
如果有人知道我应该怎么做来避免这种失败，我将非常高兴。（我正在使用Python3.5-32运行脚本）
with multiprocessing.Manager() as manager:块中使用从调用queue = manager.Queue()返回的队列实例？ - Booboo