有没有办法杀死一个线程? [英] Is there any way to kill a Thread?
问题描述
是否可以在不设置/检查任何标志/信号量/等的情况下终止正在运行的线程?
Is it possible to terminate a running thread without setting/checking any flags/semaphores/etc.?
推荐答案
在 Python 和任何语言中,突然终止线程通常是一种糟糕的模式.考虑以下情况:
It is generally a bad pattern to kill a thread abruptly, in Python, and in any language. Think of the following cases:
- 线程持有必须正确关闭的关键资源
- 该线程创建了其他几个必须终止的线程.
如果你负担得起(如果你管理自己的线程),处理这个问题的好方法是有一个 exit_request 标志,每个线程定期检查它是否是退出的时间.
The nice way of handling this, if you can afford it (if you are managing your own threads), is to have an exit_request flag that each thread checks on a regular interval to see if it is time for it to exit.
例如:
import threading
class StoppableThread(threading.Thread):
"""Thread class with a stop() method. The thread itself has to check
regularly for the stopped() condition."""
def __init__(self, *args, **kwargs):
super(StoppableThread, self).__init__(*args, **kwargs)
self._stop_event = threading.Event()
def stop(self):
self._stop_event.set()
def stopped(self):
return self._stop_event.is_set()
在这段代码中,您应该在线程退出时调用stop()
,并使用join()
等待线程正确退出.线程应该定期检查停止标志.
In this code, you should call stop()
on the thread when you want it to exit, and wait for the thread to exit properly using join()
. The thread should check the stop flag at regular intervals.
然而,在某些情况下,您确实需要终止线程.一个例子是当你包装一个忙于长时间调用的外部库时,你想中断它.
There are cases, however, when you really need to kill a thread. An example is when you are wrapping an external library that is busy for long calls, and you want to interrupt it.
以下代码允许(有一些限制)在 Python 线程中引发异常:
The following code allows (with some restrictions) to raise an Exception in a Python thread:
def _async_raise(tid, exctype):
'''Raises an exception in the threads with id tid'''
if not inspect.isclass(exctype):
raise TypeError("Only types can be raised (not instances)")
res = ctypes.pythonapi.PyThreadState_SetAsyncExc(ctypes.c_long(tid),
ctypes.py_object(exctype))
if res == 0:
raise ValueError("invalid thread id")
elif res != 1:
# "if it returns a number greater than one, you're in trouble,
# and you should call it again with exc=NULL to revert the effect"
ctypes.pythonapi.PyThreadState_SetAsyncExc(ctypes.c_long(tid), None)
raise SystemError("PyThreadState_SetAsyncExc failed")
class ThreadWithExc(threading.Thread):
'''A thread class that supports raising an exception in the thread from
another thread.
'''
def _get_my_tid(self):
"""determines this (self's) thread id
CAREFUL: this function is executed in the context of the caller
thread, to get the identity of the thread represented by this
instance.
"""
if not self.isAlive():
raise threading.ThreadError("the thread is not active")
# do we have it cached?
if hasattr(self, "_thread_id"):
return self._thread_id
# no, look for it in the _active dict
for tid, tobj in threading._active.items():
if tobj is self:
self._thread_id = tid
return tid
# TODO: in python 2.6, there's a simpler way to do: self.ident
raise AssertionError("could not determine the thread's id")
def raiseExc(self, exctype):
"""Raises the given exception type in the context of this thread.
If the thread is busy in a system call (time.sleep(),
socket.accept(), ...), the exception is simply ignored.
If you are sure that your exception should terminate the thread,
one way to ensure that it works is:
t = ThreadWithExc( ... )
...
t.raiseExc( SomeException )
while t.isAlive():
time.sleep( 0.1 )
t.raiseExc( SomeException )
If the exception is to be caught by the thread, you need a way to
check that your thread has caught it.
CAREFUL: this function is executed in the context of the
caller thread, to raise an exception in the context of the
thread represented by this instance.
"""
_async_raise( self._get_my_tid(), exctype )
(基于 Tomer Filiba 的 Killable Threads.关于 返回值的引用PyThreadState_SetAsyncExc
似乎来自 旧Python 版本.)
(Based on Killable Threads by Tomer Filiba. The quote about the return value of PyThreadState_SetAsyncExc
appears to be from an old version of Python.)
正如文档中所指出的,这不是灵丹妙药,因为如果线程在 Python 解释器之外很忙,它就不会捕捉到中断.
As noted in the documentation, this is not a magic bullet because if the thread is busy outside the Python interpreter, it will not catch the interruption.
这段代码的一个很好的使用模式是让线程捕获特定的异常并执行清理.这样,您就可以中断任务并仍然进行适当的清理.
A good usage pattern of this code is to have the thread catch a specific exception and perform the cleanup. That way, you can interrupt a task and still have proper cleanup.
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