Python:ulimit非常适合subprocess.call/subprocess.Popen吗? [英] Python: ulimit and nice for subprocess.call / subprocess.Popen?

问题描述

我需要限制我使用subprocess.call从python进程生成的外部命令行应用程序占用的时间和cpu的数量，主要是因为有时生成的进程会卡住并将cpu固定为99％.

I need to limit the amount of time and cpu taken by external command line apps I spawn from a python process using subprocess.call , mainly because sometimes the spawned process gets stuck and pins the cpu at 99%.

好的和ulimit似乎是执行此操作的合理方法，但是我不确定它们如何与子流程进行交互.

nice and ulimit seem like reasonable ways to do this, but I'm not sure how they'd interact with subprocess.

• 限制看起来像:
  • 杀死过程超过60秒
  • 将其限制为cpu的20％
  • The limits look something like:
    • Kill the process if it's taking more than 60 seconds
    • Limit it to 20% of cpu

    是否有一种方法可以将nice和ulimit应用于subprocess.call生成的进程?是否有更好的python-native替代品?

    Is there a way to apply nice and ulimit to the subprocess.call spawned process? Are there better python-native alternatives?

    这是在linux(ubuntu)系统上.

    This is on a linux (ubuntu) system.

    推荐答案

    您可以使用ulimit和nice shell命令为子进程设置限制，如下所示:

    You can set limits for subprocesses with the ulimit and nice shell commands like this:

    import subprocess
    subprocess.Popen('ulimit -t 60; nice -n 15 cpuhog', shell=True)
    

    此命令运行cpuhog时，CPU时间限制为60秒，精细度调整为15.请注意，没有简单的方法可以这样设置20％的CPU油门.除非另一个(不太好的)进程也需要CPU，否则该进程将使用100％的CPU.

    This runs cpuhog with a limit of 60 seconds of CPU time and a niceness adjustment of 15. Note that there is no simple way to set a 20% CPU throttle as such. The process will use 100% CPU unless another (less nice) process also needs the CPU.

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