每 x 分钟执行一次函数:sched 还是 threading.Timer? [英] To execute a function every x minutes: sched or threading.Timer?

问题描述

我需要每 x 分钟编写一次给定方法的执行.

I need to program the execution of a give method every x minutes.

我找到了两种方法:第一种是使用 sched 模块，第二种是使用 Threading.Timer.

I found two ways to do it: the first is using the sched module, and the second is using Threading.Timer.

第一种方法:

import sched, time
s = sched.scheduler(time.time, time.sleep)
def do_something(sc): 
    print "Doing stuff..."
    # do your stuff
    sc.enter(60, 1, do_something, (sc,))

s.enter(60, 1, do_something, (s,))
s.run()

第二个:

import threading

def do_something(sc): 
    print "Doing stuff..."
    # do your stuff
   t = threading.Timer(0.5,do_something).start()

do_something(sc)

有什么区别，如果有一个比另一个更好，哪个更好?

What's the difference and if there is one better than the other, which one?

推荐答案

Python 2 - Python 3.2 不安全:

It's not safe in Python 2 - Python 3.2:

来自 Python 2.7 sched文档:

在多线程环境中，scheduler 类在线程安全方面存在局限性，无法在正在运行的调度程序中当前挂起的任务之前插入新任务，并且会阻塞主线程直到事件队列为空.相反，首选方法是使用 threading.Timer 类.

In multi-threaded environments, the scheduler class has limitations with respect to thread-safety, inability to insert a new task before the one currently pending in a running scheduler, and holding up the main thread until the event queue is empty. Instead, the preferred approach is to use the threading.Timer class instead.

来自 最新的 Python 3 sched 文档

在 3.3 版中更改: scheduler 类可以在多线程环境中安全使用.

Changed in version 3.3: scheduler class can be safely used in multi-threaded environments.

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