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Programs that use the multiprocessing module can perform message passing with other processes running on the same machine or with processes located on remote systemsThis can be useful if you want to take a program written to work on a single system and expand it work on a computing clusterThe multiprocessingconnection submodule has functions and classes for this purpose:
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connectionsClient(address [, family [, authenticate [, authkey]]])
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Connects to another process which must already be listening at address address address is a tuple (hostname , port) representing a network address, a file name representing a UNIX domain socket, or a string of the form r'\\servername\pipe\pipename' representing a Windows named pipe on a remote system servername (use a servername of '' for the local machine) family is a string representing the addess format and is typically one of 'AF_INET', 'AF_UNIX', or 'AF_PIPE' If omitted, the family is inferred from the format of address authentication is a Boolean flag that specifies whether digest authentication is to be used authkey is a string containing the authentication key If omitted, then the value of current_process()authkey is usedThe return value from this function is a Connection object, which was previously described in the pipes section of Interprocess Communication
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connectionsListener([address [, family [, backlog [, authenticate [, authkey]]]]])
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A class that implements a server for listening for and handling connections made by the Client() functionThe address, family, authenticate, and authkey arguments have the same meaning as for Client() backlog is an integer corresponding to the value passed to the listen() method of sockets if the address parameter specifies a network connection By default, backlog is 1 If address is omitted, then a default address is chosen If both address and family are omitted, then the fastest available communications scheme on the local system is chosen An instance s of Listener supports the following methods and attributes:
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saccept()
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Accepts a new connection and returns a Connection object Raises AuthenticationError if authentication fails
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saddress
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The address that the listener is using
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sclose()
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Closes the pipe or socket being used by the listener
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slast_accepted
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The address of the last client that was accepted Here is an example of a server program that listens for clients and implements a simple remote operation (adding):
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from multiprocessingconnection import Listener serv = Listener(('',15000),authkey='12345') while True: conn = servaccept() while True: try: x,y = connrecv() except EOFError: break result = x + y connsend(result) connclose()
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Here is a simple client program that connects to this server and sends some messages:
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from multiprocessingconnection import Client conn = Client(('localhost',15000), authkey="12345") connsend((3,4)) r = connrecv() print(r)
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connsend(("Hello","World")) r = connrecv() print(r) # Prints 'HelloWorld' connclose()
Miscellaneous Utility Functions
The following utility functions are also defined:
active_children()
Returns a list of Process objects for all active child processes
cpu_count()
Returns the number of CPUs on the system if it can be determined
current_process()
Returns the Process object for the current process
freeze_support()
A function that should be included as the first statement of the main program in an application that will be frozen using various packaging tools such as py2exeThis is needed to prevent runtime errors associated with launching subprocesses in a frozen application
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multiprocessing
get_logger()
Returns the logging object associated with the multiprocessing module, creating it if it doesn t already existThe returned logger does not propagate messages to the root logger, has a level of loggingNOTSET, and prints all logging messages to standard error
set_executable(executable)
Sets the name of the Python executable used to execute subprocessesThis is only defined on Windows
General Advice on Multiprocessing
The multiprocessing module is one of the most advanced and powerful modules in the Python library Here are some general tips for keeping your head from exploding: n Carefully read the online documentation before building a large application Although this section has covered the essential basics, the official documentation covers some of the more sneaky issues that can arise n Make sure that all data passed between processes is compatible with pickle n Avoid shared data and learn to love message passing and queuesWith message passing, you don t have to worry so much about synchronization, locking, and other issues It also tends to provide better scaling as the number of processes increases n Don t use global variables inside functions that are meant to run in separate processes It is better to explicitly pass parameters instead n Try not to mix threads and multiprocessing together in the same program unless you re vastly trying to improve your job security (or to have it reduced depending on who is doing the code review) n Pay very careful attention to how processes get shut down As a general rule, you will want to explicitly close processes and have a well-defined termination scheme in place as opposed to just relying on garbage collection or having to forcefully terminate children using the terminate() operation n The use of managers and proxies is closely related to a variety of concepts in distributed computing (eg, distributed objects) A good distributed computing book might be a useful reference n The multiprocessing module originated from a third-party library known as pyprocessing Searching for usage tips and information on this library may be a useful resource n Although this module works on Windows, you should carefully read the official documentation for a variety of subtle details For example, to launch a new process on Windows, the multiprocessing module implements its own clone of the UNIX fork() operation, in which process state is copied to the child process over a pipe As a general rule, this module is much more tuned to UNIX systems n Above all else, try to keep things as simple as possible