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billiard 3.3.0.3

Python multiprocessing fork with improvements and bugfixes

Latest Version: 3.3.0.17

billiard

version:3.3.0.3

About

billiard is a fork of the Python 2.7 multiprocessing package. The multiprocessing package itself is a renamed and updated version of R Oudkerk's pyprocessing package. This standalone variant is intended to be compatible with Python 2.4 and 2.5, and will draw it's fixes/improvements from python-trunk.

  • This package would not be possible if not for the contributions of not only the current maintainers but all of the contributors to the original pyprocessing package listed here
  • Also it is a fork of the multiprocessin backport package by Christian Heims.
  • It includes the no-execv patch contributed by R. Oudkerk.
  • And the Pool improvements previously located in Celery.

Bug reporting

Please report bugs related to multiprocessing at the Python bug tracker. Issues related to billiard should be reported at http://github.com/celery/billiard/issues.

Changes

3.3.0.3 - 2013-11-09

  • Now works on Windows again.

3.3.0.2 - 2013-11-08

  • ApplyResult.terminate() may be set to signify that the job must not be executed. It can be used in combination with Pool.terminate_job.
  • Pipe/_SimpleQueue: Now supports rnonblock/wnonblock arguments to set the read or write end of the pipe to be nonblocking.
  • Pool: Log message included exception info but exception happened in another process so the resulting traceback was wrong.
  • Pool: Worker process can now prepare results before they are sent back to the main process (using Worker.prepare_result).

3.3.0.1 - 2013-11-04

  • Pool: New correlation_id argument to apply_async can be used to set a related id for the ApplyResult object returned:

    >>> r = pool.apply_async(target, args, kwargs, correlation_id='foo')
    >>> r.correlation_id
    'foo'
    
  • Pool: New callback on_process_exit is called when a pool process exits, with signature (pid, exitcode).

    Contributed by Daniel M. Taub.

  • Pool: Improved the too many restarts detection.

3.3.0.0 - 2013-10-14

  • Dual code base now runs on Python 2.6+ and Python 3.

  • No longer compatible with Python 2.5

  • Includes many changes from multiprocessing in 3.4.

  • Now uses time.monotonic when available, also including fallback implementations for Linux and OS X.

  • No longer cleans up after receiving SIGILL, SIGSEGV or SIGFPE

    Contributed by Kevin Blackham

  • Finalize and register_after_fork is now aliases to multiprocessing.

    It's better to import these from multiprocessing directly now so that there aren't multiple registries.

  • New billiard.queues._SimpleQueue that does not use semaphores.

  • Pool: Can now be extended to support using multiple IPC queues.

  • Pool: Can now use async I/O to write to pool IPC queues.

  • Pool: New Worker.on_loop_stop handler can be used to add actions at pool worker process shutdown.

    Note that, like all finalization handlers, there is no guarantee that this will be executed.

    Contributed by dmtaub.

2.7.3.30 - 2013-06-28

  • Fixed ImportError in billiard._ext

2.7.3.29 - 2013-06-28

  • Compilation: Fixed improper handling of HAVE_SEM_OPEN (Issue #55)

    Fix contributed by Krzysztof Jagiello.

  • Process now releases logging locks after fork.

    This previously happened in Pool, but it was done too late as processes logs when they bootstrap.

  • Pool.terminate_job now ignores No such process errors.

  • billiard.Pool entrypoint did not support new arguments to billiard.pool.Pool

  • Connection inbound buffer size increased from 1kb to 128kb.

  • C extension cleaned up by properly adding a namespace to symbols.

  • _exit_function now works even if thread wakes up after gc collect.

2.7.3.28 - 2013-04-16

  • Pool: Fixed regression that disabled the deadlock fix in 2.7.3.24
  • Pool: RestartFreqExceeded could be raised prematurely.
  • Process: Include pid in startup and process INFO logs.

2.7.3.27 - 2013-04-12

  • Manager now works again.

  • Python 3 fixes for billiard.connection.

  • Fixed invalid argument bug when running on Python 3.3

    Fix contributed by Nathan Wan.

  • Ignore OSError when setting up signal handlers.

2.7.3.26 - 2013-04-09

  • Pool: Child processes must ignore SIGINT.

2.7.3.25 - 2013-04-09

  • Pool: 2.7.3.24 broke support for subprocesses (Issue #48).

    Signals that should be ignored were instead handled by terminating.

2.7.3.24 - 2013-04-08

  • Pool: Make sure finally blocks are called when process exits due to a signal.

    This fixes a deadlock problem when the process is killed while having acquired the shared semaphore. However, this solution does not protect against the processes being killed, a more elaborate solution is required for that. Hopefully this will be fixed soon in a later version.

  • Pool: Can now use GDB to debug pool child processes.

  • Fixes Python 3 compatibility problems.

    Contributed by Albertas Agejevas.

2.7.3.23 - 2013-03-22

  • Windows: Now catches SystemExit from setuptools while trying to build the C extension (Issue #41).

2.7.3.22 - 2013-03-08

  • Pool: apply_async now supports a callbacks_propagate keyword argument that can be a tuple of exceptions to propagate in callbacks. (callback, errback, accept_callback, timeout_callback).

  • Errors are no longer logged for OK and recycle exit codes.

    This would cause normal maxtasksperchild recycled process to log an error.

  • Fixed Python 2.5 compatibility problem (Issue #33).

  • FreeBSD: Compilation now disables semaphores if Python was built without it (Issue #40).

    Contributed by William Grzybowski

2.7.3.21 - 2013-02-11

  • Fixed typo EX_REUSE -> EX_RECYCLE
  • Code now conforms to new pep8.py rules.

2.7.3.20 - 2013-02-08

  • Pool: Disable restart limit if maxR is not set.

  • Pool: Now uses os.kill instead of signal.signal.

    Contributed by Lukasz Langa

  • Fixed name error in process.py

  • Pool: ApplyResult.get now properly raises exceptions.

    Fix contributed by xentac.

2.7.3.19 - 2012-11-30

  • Fixes problem at shutdown when gc has collected symbols.
  • Pool now always uses _kill for Py2.5 compatibility on Windows (Issue #32).
  • Fixes Python 3 compatibility issues

2.7.3.18 - 2012-11-05

  • [Pool] Fix for check_timeouts if not set.

    Fix contributed by Dmitry Sukhov

  • Fixed pickle problem with Traceback.

    Code.frame.__loader__ is now ignored as it may be set to an unpickleable object.

  • The Django old-layout warning was always showing.

2.7.3.17 - 2012-09-26

  • Fixes typo

2.7.3.16 - 2012-09-26

  • Windows: Fixes for SemLock._rebuild (Issue #24).
  • Pool: Job terminated with terminate_job now raises billiard.exceptions.Terminated.

2.7.3.15 - 2012-09-21

  • Windows: Fixes unpickling of SemLock when using fallback.
  • Windows: Fixes installation when no C compiler.

2.7.3.14 - 2012-09-20

  • Installation now works again for Python 3.

2.7.3.13 - 2012-09-14

  • Merged with Python trunk (many authors, many fixes: see Python changelog in trunk).

  • Using execv now also works with older Django projects using setup_environ (Issue #10).

  • Billiard now installs with a warning that the C extension could not be built if a compiler is not installed or the build fails in some other way.

    It really is recommended to have the C extension installed when running with force execv, but this change also makes it easier to install.

  • Pool: Hard timeouts now sends KILL shortly after TERM so that C extensions cannot block the signal.

    Python signal handlers are called in the interpreter, so they cannot be called while a C extension is blocking the interpreter from running.

  • Now uses a timeout value for Thread.join that doesn't exceed the maximum on some platforms.

  • Fixed bug in the SemLock fallback used when C extensions not installed.

    Fix contributed by Mher Movsisyan.

  • Pool: Now sets a Process.index attribute for every process in the pool.

    This number will always be between 0 and concurrency-1, and can be used to e.g. create a logfile for each process in the pool without creating a new logfile whenever a process is replaced.

2.7.3.12 - 2012-08-05

  • Fixed Python 2.5 compatibility issue.
  • New Pool.terminate_job(pid) to terminate a job without raising WorkerLostError

2.7.3.11 - 2012-08-01

  • Adds support for FreeBSD 7+

    Fix contributed by koobs.

  • Pool: New argument allow_restart is now required to enable the pool process sentinel that is required to restart the pool.

    It's disabled by default, which reduces the number of file descriptors/semaphores required to run the pool.

  • Pool: Now emits a warning if a worker process exited with error-code.

    But not if the error code is 155, which is now returned if the worker process was recycled (maxtasksperchild).

  • Python 3 compatibility fixes.

  • Python 2.5 compatibility fixes.

2.7.3.10 - 2012-06-26

  • The TimeLimitExceeded exception string representation only included the seconds as a number, it now gives a more human friendly description.
  • Fixed typo in LaxBoundedSemaphore.shrink.
  • Pool: ResultHandler.handle_event no longer requires any arguments.
  • setup.py bdist now works

2.7.3.9 - 2012-06-03

  • Environment variable MP_MAIN_FILE envvar is now set to the path of the __main__ module when execv is enabled.
  • Pool: Errors occurring in the TaskHandler are now reported.

2.7.3.8 - 2012-06-01

  • Can now be installed on Py 3.2

  • Issue #12091: simplify ApplyResult and MapResult with threading.Event

    Patch by Charles-Francois Natali

  • Pool: Support running without TimeoutHandler thread.

    • The with_*_thread arguments has also been replaced with a single threads=True argument.

    • Two new pool callbacks:

      • on_timeout_set(job, soft, hard)

        Applied when a task is executed with a timeout.

      • on_timeout_cancel(job)

        Applied when a timeout is cancelled (the job completed)

2.7.3.7 - 2012-05-21

  • Fixes Python 2.5 support.

2.7.3.6 - 2012-05-21

  • Pool: Can now be used in an event loop, without starting the supporting threads (TimeoutHandler still not supported)

    To facilitate this the pool has gained the following keyword arguments:

    • with_task_thread

    • with_result_thread

    • with_supervisor_thread

    • on_process_up

      Callback called with Process instance as argument whenever a new worker process is added.

      Used to add new process fds to the eventloop:

      def on_process_up(proc):
          hub.add_reader(proc.sentinel, pool.maintain_pool)
      
    • on_process_down

      Callback called with Process instance as argument whenever a new worker process is found dead.

      Used to remove process fds from the eventloop:

      def on_process_down(proc):
          hub.remove(proc.sentinel)
      
    • semaphore

      Sets the semaphore used to protect from adding new items to the pool when no processes available. The default is a threaded one, so this can be used to change to an async semaphore.

    And the following attributes:

    - ``readers``
    
        A map of ``fd`` -> ``callback``, to be registered in an eventloop.
        Currently this is only the result outqueue with a callback
        that processes all currently incoming results.
    

    And the following methods:

    - ``did_start_ok``
    
        To be called after starting the pool, and after setting up the
        eventloop with the pool fds, to ensure that the worker processes
        didn't immediately exit caused by an error (internal/memory).
    
    - ``maintain_pool``
    
        Public version of ``_maintain_pool`` that handles max restarts.
    
  • Pool: Process too frequent restart protection now only counts if the process had a non-successful exit-code.

    This to take into account the maxtasksperchild option, and allowing processes to exit cleanly on their own.

  • Pool: New options max_restart + max_restart_freq

    This means that the supervisor can't restart processes faster than max_restart' times per max_restart_freq seconds (like the Erlang supervisor maxR & maxT settings).

    The pool is closed and joined if the max restart frequency is exceeded, where previously it would keep restarting at an unlimited rate, possibly crashing the system.

    The current default value is to stop if it exceeds 100 * process_count restarts in 1 seconds. This may change later.

    It will only count processes with an unsuccessful exit code, this is to take into account the maxtasksperchild setting and code that voluntarily exits.

  • Pool: The WorkerLostError message now includes the exit-code of the process that disappeared.

2.7.3.5 - 2012-05-09

  • Now always cleans up after sys.exc_info() to avoid cyclic references.

  • ExceptionInfo without arguments now defaults to sys.exc_info.

  • Forking can now be disabled using the MULTIPROCESSING_FORKING_DISABLE environment variable.

    Also this envvar is set so that the behavior is inherited after execv.

  • The semaphore cleanup process started when execv is used now sets a useful process name if the setproctitle module is installed.

  • Sets the FORKED_BY_MULTIPROCESSING environment variable if forking is disabled.

2.7.3.4 - 2012-04-27

  • Added billiard.ensure_multiprocessing()

    Raises NotImplementedError if the platform does not support multiprocessing (e.g. Jython).

2.7.3.3 - 2012-04-23

  • PyPy now falls back to using its internal _multiprocessing module, so everything works except for forking_enable(False) (which silently degrades).
  • Fixed Python 2.5 compat. issues.
  • Uses more with statements
  • Merged some of the changes from the Python 3 branch.

2.7.3.2 - 2012-04-20

  • Now installs on PyPy/Jython (but does not work).

2.7.3.1 - 2012-04-20

  • Python 2.5 support added.

2.7.3.0 - 2012-04-20

  • Updated from Python 2.7.3
  • Python 2.4 support removed, now only supports 2.5, 2.6 and 2.7. (may consider py3k support at some point).
  • Pool improvements from Celery.
  • no-execv patch added (http://bugs.python.org/issue8713)
 
File Type Py Version Uploaded on Size
billiard-3.3.0.3-py2.7-macosx-10.6-intel.egg (md5, pgp) Python Egg 2.7 2013-11-09 256KB
billiard-3.3.0.3-py2.7.egg (md5) Python Egg 2.7 2013-11-09 251KB
billiard-3.3.0.3.tar.gz (md5, pgp) Source 2013-11-09 142KB
billiard-3.3.0.3.win-amd64-py2.7.exe (md5) MS Windows installer 2.7 2013-11-09 348KB
billiard-3.3.0.3.win-amd64.exe (md5) MS Windows installer any 2013-11-09 334KB
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