cpython/Doc/library/concurrent.futures.rst

:mod:`concurrent.futures` --- Launching parallel tasks
======================================================

.. module:: concurrent.futures
   :synopsis: Execute computations concurrently using threads or processes.

.. versionadded:: 3.2

**Source code:** :source:`Lib/concurrent/futures/thread.py`
and :source:`Lib/concurrent/futures/process.py`

--------------

The :mod:`concurrent.futures` module provides a high-level interface for
asynchronously executing callables.

The asynchronous execution can be performed with threads, using
:class:`ThreadPoolExecutor`, or separate processes, using
:class:`ProcessPoolExecutor`.  Both implement the same interface, which is
defined by the abstract :class:`Executor` class.

.. include:: ../includes/wasm-notavail.rst

Executor Objects
----------------

.. class:: Executor

   An abstract class that provides methods to execute calls asynchronously.  It
   should not be used directly, but through its concrete subclasses.

    .. method:: submit(fn, /, *args, **kwargs)

       Schedules the callable, *fn*, to be executed as ``fn(*args, **kwargs)``
       and returns a :class:`Future` object representing the execution of the
       callable. ::

          with ThreadPoolExecutor(max_workers=1) as executor:
              future = executor.submit(pow, 323, 1235)
              print(future.result())

    .. method:: map(func, *iterables, timeout=None, chunksize=1)

       Similar to :func:`map(func, *iterables) <map>` except:

       * the *iterables* are collected immediately rather than lazily;

       * *func* is executed asynchronously and several calls to
         *func* may be made concurrently.

       The returned iterator raises a :exc:`TimeoutError`
       if :meth:`~iterator.__next__` is called and the result isn't available
       after *timeout* seconds from the original call to :meth:`Executor.map`.
       *timeout* can be an int or a float.  If *timeout* is not specified or
       ``None``, there is no limit to the wait time.

       If a *func* call raises an exception, then that exception will be
       raised when its value is retrieved from the iterator.

       When using :class:`ProcessPoolExecutor`, this method chops *iterables*
       into a number of chunks which it submits to the pool as separate
       tasks.  The (approximate) size of these chunks can be specified by
       setting *chunksize* to a positive integer.  For very long iterables,
       using a large value for *chunksize* can significantly improve
       performance compared to the default size of 1.  With
       :class:`ThreadPoolExecutor`, *chunksize* has no effect.

       .. versionchanged:: 3.5
          Added the *chunksize* argument.

    .. method:: shutdown(wait=True, *, cancel_futures=False)

       Signal the executor that it should free any resources that it is using
       when the currently pending futures are done executing.  Calls to
       :meth:`Executor.submit` and :meth:`Executor.map` made after shutdown will
       raise :exc:`RuntimeError`.

       If *wait* is ``True`` then this method will not return until all the
       pending futures are done executing and the resources associated with the
       executor have been freed.  If *wait* is ``False`` then this method will
       return immediately and the resources associated with the executor will be
       freed when all pending futures are done executing.  Regardless of the
       value of *wait*, the entire Python program will not exit until all
       pending futures are done executing.

       If *cancel_futures* is ``True``, this method will cancel all pending
       futures that the executor has not started running. Any futures that
       are completed or running won't be cancelled, regardless of the value
       of *cancel_futures*.

       If both *cancel_futures* and *wait* are ``True``, all futures that the
       executor has started running will be completed prior to this method
       returning. The remaining futures are cancelled.

       You can avoid having to call this method explicitly if you use the
       :keyword:`with` statement, which will shutdown the :class:`Executor`
       (waiting as if :meth:`Executor.shutdown` were called with *wait* set to
       ``True``)::

          import shutil
          with ThreadPoolExecutor(max_workers=4) as e:
              e.submit(shutil.copy, 'src1.txt', 'dest1.txt')
              e.submit(shutil.copy, 'src2.txt', 'dest2.txt')
              e.submit(shutil.copy, 'src3.txt', 'dest3.txt')
              e.submit(shutil.copy, 'src4.txt', 'dest4.txt')

       .. versionchanged:: 3.9
          Added *cancel_futures*.


ThreadPoolExecutor
------------------

:class:`ThreadPoolExecutor` is an :class:`Executor` subclass that uses a pool of
threads to execute calls asynchronously.

Deadlocks can occur when the callable associated with a :class:`Future` waits on
the results of another :class:`Future`.  For example::

   import time
   def wait_on_b():
       time.sleep(5)
       print(b.result())  # b will never complete because it is waiting on a.
       return 5

   def wait_on_a():
       time.sleep(5)
       print(a.result())  # a will never complete because it is waiting on b.
       return 6


   executor = ThreadPoolExecutor(max_workers=2)
   a = executor.submit(wait_on_b)
   b = executor.submit(wait_on_a)

And::

   def wait_on_future():
       f = executor.submit(pow, 5, 2)
       # This will never complete because there is only one worker thread and
       # it is executing this function.
       print(f.result())

   executor = ThreadPoolExecutor(max_workers=1)
   executor.submit(wait_on_future)


.. class:: ThreadPoolExecutor(max_workers=None, thread_name_prefix='', initializer=None, initargs=())

   An :class:`Executor` subclass that uses a pool of at most *max_workers*
   threads to execute calls asynchronously.

   All threads enqueued to ``ThreadPoolExecutor`` will be joined before the
   interpreter can exit. Note that the exit handler which does this is
   executed *before* any exit handlers added using ``atexit``. This means
   exceptions in the main thread must be caught and handled in order to
   signal threads to exit gracefully. For this reason, it is recommended
   that ``ThreadPoolExecutor`` not be used for long-running tasks.

   *initializer* is an optional callable that is called at the start of
   each worker thread; *initargs* is a tuple of arguments passed to the
   initializer.  Should *initializer* raise an exception, all currently
   pending jobs will raise a :exc:`~concurrent.futures.thread.BrokenThreadPool`,
   as well as any attempt to submit more jobs to the pool.

   .. versionchanged:: 3.5
      If *max_workers* is ``None`` or
      not given, it will default to the number of processors on the machine,
      multiplied by ``5``, assuming that :class:`ThreadPoolExecutor` is often
      used to overlap I/O instead of CPU work and the number of workers
      should be higher than the number of workers
      for :class:`ProcessPoolExecutor`.

   .. versionadded:: 3.6
      The *thread_name_prefix* argument was added to allow users to
      control the :class:`threading.Thread` names for worker threads created by
      the pool for easier debugging.

   .. versionchanged:: 3.7
      Added the *initializer* and *initargs* arguments.

   .. versionchanged:: 3.8
      Default value of *max_workers* is changed to ``min(32, os.cpu_count() + 4)``.
      This default value preserves at least 5 workers for I/O bound tasks.
      It utilizes at most 32 CPU cores for CPU bound tasks which release the GIL.
      And it avoids using very large resources implicitly on many-core machines.

      ThreadPoolExecutor now reuses idle worker threads before starting
      *max_workers* worker threads too.


.. _threadpoolexecutor-example:

ThreadPoolExecutor Example
~~~~~~~~~~~~~~~~~~~~~~~~~~
::

   import concurrent.futures
   import urllib.request

   URLS = ['http://www.foxnews.com/',
           'http://www.cnn.com/',
           'http://europe.wsj.com/',
           'http://www.bbc.co.uk/',
           'http://nonexistant-subdomain.python.org/']

   # Retrieve a single page and report the URL and contents
   def load_url(url, timeout):
       with urllib.request.urlopen(url, timeout=timeout) as conn:
           return conn.read()

   # We can use a with statement to ensure threads are cleaned up promptly
   with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor:
       # Start the load operations and mark each future with its URL
       future_to_url = {executor.submit(load_url, url, 60): url for url in URLS}
       for future in concurrent.futures.as_completed(future_to_url):
           url = future_to_url[future]
           try:
               data = future.result()
           except Exception as exc:
               print('%r generated an exception: %s' % (url, exc))
           else:
               print('%r page is %d bytes' % (url, len(data)))


ProcessPoolExecutor
-------------------

The :class:`ProcessPoolExecutor` class is an :class:`Executor` subclass that
uses a pool of processes to execute calls asynchronously.
:class:`ProcessPoolExecutor` uses the :mod:`multiprocessing` module, which
allows it to side-step the :term:`Global Interpreter Lock
<global interpreter lock>` but also means that
only picklable objects can be executed and returned.

The ``__main__`` module must be importable by worker subprocesses. This means
that :class:`ProcessPoolExecutor` will not work in the interactive interpreter.

Calling :class:`Executor` or :class:`Future` methods from a callable submitted
to a :class:`ProcessPoolExecutor` will result in deadlock.

.. class:: ProcessPoolExecutor(max_workers=None, mp_context=None, initializer=None, initargs=(), max_tasks_per_child=None)

   An :class:`Executor` subclass that executes calls asynchronously using a pool
   of at most *max_workers* processes.  If *max_workers* is ``None`` or not
   given, it will default to the number of processors on the machine.
   If *max_workers* is less than or equal to ``0``, then a :exc:`ValueError`
   will be raised.
   On Windows, *max_workers* must be less than or equal to ``61``. If it is not
   then :exc:`ValueError` will be raised. If *max_workers* is ``None``, then
   the default chosen will be at most ``61``, even if more processors are
   available.
   *mp_context* can be a :mod:`multiprocessing` context or ``None``. It will be
   used to launch the workers. If *mp_context* is ``None`` or not given, the
   default :mod:`multiprocessing` context is used.
   See :ref:`multiprocessing-start-methods`.

   *initializer* is an optional callable that is called at the start of
   each worker process; *initargs* is a tuple of arguments passed to the
   initializer.  Should *initializer* raise an exception, all currently
   pending jobs will raise a :exc:`~concurrent.futures.process.BrokenProcessPool`,
   as well as any attempt to submit more jobs to the pool.

   *max_tasks_per_child* is an optional argument that specifies the maximum
   number of tasks a single process can execute before it will exit and be
   replaced with a fresh worker process. By default *max_tasks_per_child* is
   ``None`` which means worker processes will live as long as the pool. When
   a max is specified, the "spawn" multiprocessing start method will be used by
   default in absence of a *mp_context* parameter. This feature is incompatible
   with the "fork" start method.

   .. versionchanged:: 3.3
      When one of the worker processes terminates abruptly, a
      :exc:`BrokenProcessPool` error is now raised.  Previously, behaviour
      was undefined but operations on the executor or its futures would often
      freeze or deadlock.

   .. versionchanged:: 3.7
      The *mp_context* argument was added to allow users to control the
      start_method for worker processes created by the pool.

      Added the *initializer* and *initargs* arguments.

      .. note::
         The default :mod:`multiprocessing` start method
         (see :ref:`multiprocessing-start-methods`) will change away from
         *fork* in Python 3.14.  Code that requires *fork* be used for their
         :class:`ProcessPoolExecutor` should explicitly specify that by
         passing a ``mp_context=multiprocessing.get_context("fork")``
         parameter.

   .. versionchanged:: 3.11
      The *max_tasks_per_child* argument was added to allow users to
      control the lifetime of workers in the pool.

.. _processpoolexecutor-example:

ProcessPoolExecutor Example
~~~~~~~~~~~~~~~~~~~~~~~~~~~
::

   import concurrent.futures
   import math

   PRIMES = [
       112272535095293,
       112582705942171,
       112272535095293,
       115280095190773,
       115797848077099,
       1099726899285419]

   def is_prime(n):
       if n < 2:
           return False
       if n == 2:
           return True
       if n % 2 == 0:
           return False

       sqrt_n = int(math.floor(math.sqrt(n)))
       for i in range(3, sqrt_n + 1, 2):
           if n % i == 0:
               return False
       return True

   def main():
       with concurrent.futures.ProcessPoolExecutor() as executor:
           for number, prime in zip(PRIMES, executor.map(is_prime, PRIMES)):
               print('%d is prime: %s' % (number, prime))

   if __name__ == '__main__':
       main()


Future Objects
--------------

The :class:`Future` class encapsulates the asynchronous execution of a callable.
:class:`Future` instances are created by :meth:`Executor.submit`.

.. class:: Future

   Encapsulates the asynchronous execution of a callable.  :class:`Future`
   instances are created by :meth:`Executor.submit` and should not be created
   directly except for testing.

    .. method:: cancel()

       Attempt to cancel the call.  If the call is currently being executed or
       finished running and cannot be cancelled then the method will return
       ``False``, otherwise the call will be cancelled and the method will
       return ``True``.

    .. method:: cancelled()

       Return ``True`` if the call was successfully cancelled.

    .. method:: running()

       Return ``True`` if the call is currently being executed and cannot be
       cancelled.

    .. method:: done()

       Return ``True`` if the call was successfully cancelled or finished
       running.

    .. method:: result(timeout=None)

       Return the value returned by the call. If the call hasn't yet completed
       then this method will wait up to *timeout* seconds.  If the call hasn't
       completed in *timeout* seconds, then a
       :exc:`TimeoutError` will be raised. *timeout* can be
       an int or float.  If *timeout* is not specified or ``None``, there is no
       limit to the wait time.

       If the future is cancelled before completing then :exc:`.CancelledError`
       will be raised.

       If the call raised an exception, this method will raise the same exception.

    .. method:: exception(timeout=None)

       Return the exception raised by the call.  If the call hasn't yet
       completed then this method will wait up to *timeout* seconds.  If the
       call hasn't completed in *timeout* seconds, then a
       :exc:`TimeoutError` will be raised.  *timeout* can be
       an int or float.  If *timeout* is not specified or ``None``, there is no
       limit to the wait time.

       If the future is cancelled before completing then :exc:`.CancelledError`
       will be raised.

       If the call completed without raising, ``None`` is returned.

    .. method:: add_done_callback(fn)

       Attaches the callable *fn* to the future.  *fn* will be called, with the
       future as its only argument, when the future is cancelled or finishes
       running.

       Added callables are called in the order that they were added and are
       always called in a thread belonging to the process that added them.  If
       the callable raises an :exc:`Exception` subclass, it will be logged and
       ignored.  If the callable raises a :exc:`BaseException` subclass, the
       behavior is undefined.

       If the future has already completed or been cancelled, *fn* will be
       called immediately.

   The following :class:`Future` methods are meant for use in unit tests and
   :class:`Executor` implementations.

    .. method:: set_running_or_notify_cancel()

       This method should only be called by :class:`Executor` implementations
       before executing the work associated with the :class:`Future` and by unit
       tests.

       If the method returns ``False`` then the :class:`Future` was cancelled,
       i.e. :meth:`Future.cancel` was called and returned ``True``.  Any threads
       waiting on the :class:`Future` completing (i.e. through
       :func:`as_completed` or :func:`wait`) will be woken up.

       If the method returns ``True`` then the :class:`Future` was not cancelled
       and has been put in the running state, i.e. calls to
       :meth:`Future.running` will return ``True``.

       This method can only be called once and cannot be called after
       :meth:`Future.set_result` or :meth:`Future.set_exception` have been
       called.

    .. method:: set_result(result)

       Sets the result of the work associated with the :class:`Future` to
       *result*.

       This method should only be used by :class:`Executor` implementations and
       unit tests.

       .. versionchanged:: 3.8
          This method raises
          :exc:`concurrent.futures.InvalidStateError` if the :class:`Future` is
          already done.

    .. method:: set_exception(exception)

       Sets the result of the work associated with the :class:`Future` to the
       :class:`Exception` *exception*.

       This method should only be used by :class:`Executor` implementations and
       unit tests.

       .. versionchanged:: 3.8
          This method raises
          :exc:`concurrent.futures.InvalidStateError` if the :class:`Future` is
          already done.

Module Functions
----------------

.. function:: wait(fs, timeout=None, return_when=ALL_COMPLETED)

   Wait for the :class:`Future` instances (possibly created by different
   :class:`Executor` instances) given by *fs* to complete. Duplicate futures
   given to *fs* are removed and will be returned only once. Returns a named
   2-tuple of sets.  The first set, named ``done``, contains the futures that
   completed (finished or cancelled futures) before the wait completed.  The
   second set, named ``not_done``, contains the futures that did not complete
   (pending or running futures).

   *timeout* can be used to control the maximum number of seconds to wait before
   returning.  *timeout* can be an int or float.  If *timeout* is not specified
   or ``None``, there is no limit to the wait time.

   *return_when* indicates when this function should return.  It must be one of
   the following constants:

   .. tabularcolumns:: |l|L|

   +-----------------------------+----------------------------------------+
   | Constant                    | Description                            |
   +=============================+========================================+
   | :const:`FIRST_COMPLETED`    | The function will return when any      |
   |                             | future finishes or is cancelled.       |
   +-----------------------------+----------------------------------------+
   | :const:`FIRST_EXCEPTION`    | The function will return when any      |
   |                             | future finishes by raising an          |
   |                             | exception.  If no future raises an     |
   |                             | exception then it is equivalent to     |
   |                             | :const:`ALL_COMPLETED`.                |
   +-----------------------------+----------------------------------------+
   | :const:`ALL_COMPLETED`      | The function will return when all      |
   |                             | futures finish or are cancelled.       |
   +-----------------------------+----------------------------------------+

.. function:: as_completed(fs, timeout=None)

   Returns an iterator over the :class:`Future` instances (possibly created by
   different :class:`Executor` instances) given by *fs* that yields futures as
   they complete (finished or cancelled futures). Any futures given by *fs* that
   are duplicated will be returned once. Any futures that completed before
   :func:`as_completed` is called will be yielded first.  The returned iterator
   raises a :exc:`TimeoutError` if :meth:`~iterator.__next__`
   is called and the result isn't available after *timeout* seconds from the
   original call to :func:`as_completed`.  *timeout* can be an int or float. If
   *timeout* is not specified or ``None``, there is no limit to the wait time.


.. seealso::

   :pep:`3148` -- futures - execute computations asynchronously
      The proposal which described this feature for inclusion in the Python
      standard library.


Exception classes
-----------------

.. currentmodule:: concurrent.futures

.. exception:: CancelledError

   Raised when a future is cancelled.

.. exception:: TimeoutError

   A deprecated alias of :exc:`TimeoutError`,
   raised when a future operation exceeds the given timeout.

   .. versionchanged:: 3.11

      This class was made an alias of :exc:`TimeoutError`.


.. exception:: BrokenExecutor

   Derived from :exc:`RuntimeError`, this exception class is raised
   when an executor is broken for some reason, and cannot be used
   to submit or execute new tasks.

   .. versionadded:: 3.7

.. exception:: InvalidStateError

   Raised when an operation is performed on a future that is not allowed
   in the current state.

   .. versionadded:: 3.8

.. currentmodule:: concurrent.futures.thread

.. exception:: BrokenThreadPool

   Derived from :exc:`~concurrent.futures.BrokenExecutor`, this exception
   class is raised when one of the workers of a :class:`ThreadPoolExecutor`
   has failed initializing.

   .. versionadded:: 3.7

.. currentmodule:: concurrent.futures.process

.. exception:: BrokenProcessPool

   Derived from :exc:`~concurrent.futures.BrokenExecutor` (formerly
   :exc:`RuntimeError`), this exception class is raised when one of the
   workers of a :class:`ProcessPoolExecutor` has terminated in a non-clean
   fashion (for example, if it was killed from the outside).

   .. versionadded:: 3.3