织物跑叉

发布于 2024-11-05 20:00:03 字数 592 浏览 1 评论 0原文

我想使用 Fabric.api.run 直接启动远程框中的应用程序。由于应用程序需要很长时间才能完成，因此我希望能够分叉一个子进程，这样我就不需要等待很长时间。

代码如下：

from fabric.api import run
....

run("python ./myApp.py --fork=True >myApp.log 2>&1")

我使用以下代码来启用分叉端代码：

if settings.fork:
    child_pid = os.fork()
    if child_pid == 0:
        print "Starting Child Process: PID# %s" % os.getpid()
    else:
        print "Terminating Parent Process: PID# %s" % os.getpid()
        os._exit(0)

问题是在我执行运行命令后，我进入远程框，发现程序已因某种未知原因退出，我检查了日志文件，里面什么都没有。

有人可以让我知道如何解决这个问题吗？非常感谢！

原文

I want to use Fabric.api.run to directly start an application in a remote box. Since the application takes really a long to finish, I wish to be able to fork a child process, such that I don't need to wait for a long time.

The code is like:

from fabric.api import run
....

run("python ./myApp.py --fork=True >myApp.log 2>&1")

I used the following code to enable forking side the code:

if settings.fork:
    child_pid = os.fork()
    if child_pid == 0:
        print "Starting Child Process: PID# %s" % os.getpid()
    else:
        print "Terminating Parent Process: PID# %s" % os.getpid()
        os._exit(0)

The problem is after I do the run command, I sshed into the remote box, and found out the program has been quit for some unknown reason, I check the log file, there is nothing there.

Somebody could let me know how I can work this around? Many thanks!!

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夜夜流光相皎洁 2024-11-12 20:00:03

说到分叉，除了许多其他改进之外，Fabric 有一个分叉可以实现并行执行。

http://tav.espians.com /fabric-python-with-cleaner-api-and-parallel-deployment-support.html

根据您正在做的事情，您可能需要考虑这一点。

除此之外，我认为您想使用multiprocessing：

from multiprocessing import Process

def f(name):
    print 'hello', name

if __name__ == '__main__':
    p = Process(target=f, args=('bob',))
    p.start()
    #p.join()

http:// docs.python.org/library/multiprocessing.html

Talking of forks, there is a fork of Fabric that enables parallel execution, apart from lots of other improvements.

http://tav.espians.com/fabric-python-with-cleaner-api-and-parallel-deployment-support.html

Depending on what you are doing, you may want to consider that.

Apart from that, I think you want to use multiprocessing:

from multiprocessing import Process

def f(name):
    print 'hello', name

if __name__ == '__main__':
    p = Process(target=f, args=('bob',))
    p.start()
    #p.join()

http://docs.python.org/library/multiprocessing.html

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