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pythonmultiprocessingwith-statement

Can I acquire multiprocessing's Lock in a with statement?


Horrible things can happen if a process fails to unlock a multiprocessing lock. To minimize the chance of that happening, I want to acquire the lock in a with block. Is there any built in way I can do this or do I need to roll my own?


Solution

  • Yes, you can just do:

    mylock = multiprocessing.Lock()
    
    with mylock:
        ...
    

    as Lock is a context manager. So is RLock, and Lock and RLock from threading.

    The documentation does state that it is "a clone of threading.Lock", so you can refer to "Using locks, conditions, and semaphores in the with statement"

    [edit 2020: The documentation now mentions this explicitly]