threading + multiprocessing + logging = 死锁 ?

前段时间有个程序忽然出现了子进程不工做的状况。html

后来经过调查发现是由于程序中同时使用了多线程,多进程以及 logging 模块,致使子进程中出现了死锁的状况。python

当建立子进程的时候,后台线程中的 logging 模块正好获取了一个锁(threading.RLock)在记录日志信息。因为在 unix/linux 平台下 Python 是经过 fork 来建立子进程的,所以建立子进程的时候会把 logging 中的锁也复制了一份,当子进程中须要记录日志的时候发现 logging 的锁一直处于被占用的状态,从而出现了死锁(复制的这个锁永远也不会被释放,由于它的全部者是父进程的某个线程,可是这个线程释放锁的时候又不会影响子进程里的这个锁)。linux

复现问题的代码以下:segmentfault

import os
import sys
import threading
import time


class ThreadWorker(threading.Thread):
    def __init__(self):
        print('ThreadWorker: init')
        super().__init__()

    def run(self):
        print('ThreadWorker: running (rlock = {0})'.format(global_rlock))

        global_rlock.acquire()
        print('ThreadWorker: i got lock {0}'.format(global_rlock))
        time.sleep(5)
        global_rlock.release()
        print('ThreadWorker: release lock {0} and '
              'sleeping forever'.format(global_rlock))

        time.sleep(600000)

global_rlock = threading.RLock(verbose=True)
worker = ThreadWorker()
worker.start()

time.sleep(1)
print('forking')
pid = os.fork()
if pid != 0:    # pid != 0 当前处于父进程
    print('parent: running (rlock = {0})'.format(global_rlock))
else:      # pid = 0 当前处于子进程
    print('child: running (rlock = {0}), '
          'getting the lock...'.format(global_rlock))
    global_rlock.acquire()
    print('child: got the lock {0}'.format(global_rlock))
    sys.exit(0)

time.sleep(10)

上面代码的执行结果以下:多线程

$ python fork.py
ThreadWorker: init
ThreadWorker: running (rlock = <unlocked _thread.RLock object owner=0 count=0 at 0x10116cb40>)
ThreadWorker: i got lock <locked _thread.RLock object owner=123145307557888 count=1 at 0x10116cb40>
forking
parent: running (rlock = <locked _thread.RLock object owner=123145307557888 count=1 at 0x10116cb40>)
child: running (rlock = <locked _thread.RLock object owner=123145307557888 count=1 at 0x10116cb40>), getting the lock...
ThreadWorker: release lock <unlocked _thread.RLock object owner=0 count=0 at 0x10116cb40> and sleeping forever

从上面的结果中能够看出来:虽然线程随后释放了得到的锁,可是子进程却永远的卡在了获取锁的地方。app

那么, 应该如何解决这个问题呢?至少有三种解决办法:ui

  • 先建立子进程,而后再建立线程:线程

import os
import sys
import threading
import time


class ThreadWorker(threading.Thread):
    def __init__(self):
        print('ThreadWorker: init')
        super().__init__()

    def run(self):
        print('ThreadWorker: running (rlock = {0})'.format(global_rlock))

        global_rlock.acquire()
        print('ThreadWorker: i got lock {0}'.format(global_rlock))
        time.sleep(5)
        global_rlock.release()
        print('ThreadWorker: release lock {0} and '
              'sleeping forever'.format(global_rlock))

        time.sleep(600000)

global_rlock = threading.RLock(verbose=True)
worker = ThreadWorker()

print('forking')
pid = os.fork()
if pid != 0:    # pid != 0 当前处于父进程
    print('parent: running (rlock = {0})'.format(global_rlock))
    worker.start()
else:      # pid = 0 当前处于子进程
    time.sleep(1)
    print('child: running (rlock = {0}), '
          'getting the lock...'.format(global_rlock))
    global_rlock.acquire()
    print('child: got the lock {0}'.format(global_rlock))
    global_rlock.release()
    print('child: release the lock {0}'.format(global_rlock))
    sys.exit(0)

time.sleep(10)

结果:unix

$ python fork2.py
ThreadWorker: init
forking
parent: running (rlock = <unlocked _thread.RLock object owner=0 count=0 at 0x10f24cb70>)
ThreadWorker: running (rlock = <unlocked _thread.RLock object owner=0 count=0 at 0x10f24cb70>)
ThreadWorker: i got lock <locked _thread.RLock object owner=123145307557888 count=1 at 0x10f24cb70>
child: running (rlock = <unlocked _thread.RLock object owner=0 count=0 at 0x10f24cb70>), getting the lock...
child: got the lock <locked _thread.RLock object owner=140735162044416 count=1 at 0x10f24cb70>
child: release the lock <unlocked _thread.RLock object owner=0 count=0 at 0x10f24cb70>
ThreadWorker: release lock <unlocked _thread.RLock object owner=0 count=0 at 0x10f24cb70> and sleeping forever

能够看到子进程和线程都可以正常获取锁。日志

  • 不要混合使用 threading, multiprocessing, logging/其余使用了线程锁的模块。 要么都是多线程,要么都是多进程。

  • 另外一个办法就是配置 logging 使用无锁的 handler 来记录日志信息。

参考资料

原文地址: https://mozillazg.com/2016/09...

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