Python中并发future模块的介绍（代码）

concurrent.futures模块

该模块主要特色在于ThreadPoolExecutor 和 ProcessPoolExecutor 类，这两个类都继承自concurrent.futures._base.Executor类，它们实现的接口能分别在不同的线程或进程中执行可调用的对象，它们都在内部维护着一个工作线程或者进程池。

ThreadPoolExecutor 和 ProcessPoolExecutor 类是高级类，大部分情况下只要学会使用即可，无需关注其实现细节。

####ProcessPoolExecutor 类

>class ThreadPoolExecutor(concurrent.futures._base.Executor)

>|  This is an abstract base class for concrete asynchronous executors.

>|  Method resolution order:

>|      ThreadPoolExecutor

 |      concurrent.futures._base.Executor

 |      builtins.object

 |

 |  Methods defined here:

 |

 |  init(self, max_workers=None, thread_name_prefix='')

 |      Initializes a new ThreadPoolExecutor instance.

 |

 |      Args:

 |          max_workers: The maximum number of threads that can be used to

 |              execute the given calls.

 |          thread_name_prefix: An optional name prefix to give our threads.

 |

 |  shutdown(self, wait=True)

 |      Clean-up the resources associated with the Executor.

 |

 |      It is safe to call this method several times. Otherwise, no other

 |      methods can be called after this one.

 |

 |      Args:

 |          wait: If True then shutdown will not return until all running

 |              futures have finished executing and the resources used by the

 |              executor have been reclaimed.

 |

 |  submit(self, fn, *args, **kwargs)

 |      Submits a callable to be executed with the given arguments.

 |

 |      Schedules the callable to be executed as fn(*args, **kwargs) and returns

 |      a Future instance representing the execution of the callable.

 |

 |      Returns:

 |          A Future representing the given call.

 |

 |  ----------------------------------------------------------------------

 |  Methods inherited from concurrent.futures._base.Executor:

 |

 |  enter(self)

 |

 |  exit(self, exc_type, exc_val, exc_tb)

 |

 |  map(self, fn, *iterables, timeout=None, chunksize=1)

 |      Returns an iterator equivalent to map(fn, iter).

 |

 |      Args:

 |          fn: A callable that will take as many arguments as there are

 |              passed iterables.

 |          timeout: The maximum number of seconds to wait. If None, then there

 |              is no limit on the wait time.

 |          chunksize: The size of the chunks the iterable will be broken into

 |              before being passed to a child process. This argument is only

 |              used by ProcessPoolExecutor; it is ignored by

 |              ThreadPoolExecutor.

 |

 |      Returns:

 |          An iterator equivalent to: map(func, *iterables) but the calls may

 |          be evaluated out-of-order.

 |

 |      Raises:

 |          TimeoutError: If the entire result iterator could not be generated

 |              before the given timeout.

 |          Exception: If fn(*args) raises for any values.

初始化可以指定一个最大进程数作为其参数 max_workers 的值，该值一般无需指定，默认为当前运行机器的核心数，可以由os.cpu_count()获取；类中含有方法：

1. map()方法，与python内置方法map() 功能类似，也就是映射，参数为：

• 一个可调用函数 fn

• 一个迭代器 iterables

• 超时时长 timeout

• 块数chuncksize 如果大于1, 迭代器会被分块处理

---->> 该函数有一个特性：其返回结果与调用开始的顺序是一致的；在调用过程中不会产生阻塞，也就是说可能前者被调用执行结束之前，后者被调用已经执行结束了。

如果一定要获取到所有结果后再处理，可以选择采用submit()方法和futures.as_completed函数结合使用。

1. shutdown()方法，清理所有与当前执行器（executor)相关的资源

2. submit() 方法，提交一个可调用对象给fn使用

3. 从concurrent.futures._base.Executor继承了__enter__() 和 __exit__()方法，这意味着ProcessPoolExecutor 对象可以用于with 语句。

from concurrent import futures
with futures.ProcessPoolExecutor(max_works=3) as executor:
     executor.map()

ThreadPoolExecutor类

class ThreadPoolExecutor(concurrent.futures._base.Executor)

 |  This is an abstract base class for concrete asynchronous executors.

 |

 |  Method resolution order:

 |      ThreadPoolExecutor

 |      concurrent.futures._base.Executor

 |      builtins.object

 |

 |  Methods defined here:

 |

 |  init(self, max_workers=None, thread_name_prefix='')

 |      Initializes a new ThreadPoolExecutor instance.

 |

 |      Args:

 |          max_workers: The maximum number of threads that can be used to

 |              execute the given calls.

 |          thread_name_prefix: An optional name prefix to give our threads.

 |

 |  shutdown(self, wait=True)

 |      Clean-up the resources associated with the Executor.

 |

 |      It is safe to call this method several times. Otherwise, no other

 |      methods can be called after this one.

 |

 |      Args:

 |          wait: If True then shutdown will not return until all running

 |              futures have finished executing and the resources used by the

 |              executor have been reclaimed.

 |

 |  submit(self, fn, *args, **kwargs)

 |      Submits a callable to be executed with the given arguments.

 |

 |      Schedules the callable to be executed as fn(*args, **kwargs) and returns

 |      a Future instance representing the execution of the callable.

 |

 |      Returns:

 |          A Future representing the given call.

 |

 |  ----------------------------------------------------------------------

 |  Methods inherited from concurrent.futures._base.Executor:

 |

 |  enter(self)

 |

 |  exit(self, exc_type, exc_val, exc_tb)

 |

 |  map(self, fn, *iterables, timeout=None, chunksize=1)

 |      Returns an iterator equivalent to map(fn, iter).

 |

 |      Args:

 |          fn: A callable that will take as many arguments as there are

 |              passed iterables.

 |          timeout: The maximum number of seconds to wait. If None, then there

 |              is no limit on the wait time.

 |          chunksize: The size of the chunks the iterable will be broken into

 |              before being passed to a child process. This argument is only

 |              used by ProcessPoolExecutor; it is ignored by

 |              ThreadPoolExecutor.

 |

 |      Returns:

 |          An iterator equivalent to: map(func, *iterables) but the calls may

 |          be evaluated out-of-order.

 |

 |      Raises:

 |          TimeoutError: If the entire result iterator could not be generated

 |              before the given timeout.

 |          Exception: If fn(*args) raises for any values.

与ProcessPoolExecutor 类十分相似，只不过一个是处理进程，一个是处理线程，可根据实际需要选择。

示例

from time import sleep, strftime
from concurrent import futures


def display(*args):
    print(strftime('[%H:%M:%S]'), end="")
    print(*args)


def loiter(n):
    msg = '{}loiter({}): doing nothing for {}s'
    display(msg.format('\t'*n, n, n))
    sleep(n)
    msg = '{}loiter({}): done.'
    display(msg.format('\t'*n, n))
    return n*10


def main():
    display('Script starting')
    executor = futures.ThreadPoolExecutor(max_workers=3)
    results = executor.map(loiter, range(5))
    display('results:', results)
    display('Waiting for inpidual results:')
    for i, result in enumerate(results):
        display('result {} : {}'.format(i, result))


if __name__ == '__main__':
    main()

运行结果：

[20:32:12]Script starting
[20:32:12]loiter(0): doing nothing for 0s
[20:32:12]loiter(0): done.
[20:32:12]      loiter(1): doing nothing for 1s
[20:32:12]              loiter(2): doing nothing for 2s
[20:32:12]results: <generator object Executor.map.<locals>.result_iterator at 0x00000246DB21BC50>
[20:32:12]Waiting for inpidual results:
[20:32:12]                      loiter(3): doing nothing for 3s
[20:32:12]result 0 : 0
[20:32:13]      loiter(1): done.
[20:32:13]                              loiter(4): doing nothing for 4s
[20:32:13]result 1 : 10
[20:32:14]              loiter(2): done.
[20:32:14]result 2 : 20
[20:32:15]                      loiter(3): done.
[20:32:15]result 3 : 30
[20:32:17]                              loiter(4): done.
[20:32:17]result 4 : 40

不同机器运行结果可能不同。

示例中设置max_workers=3，所以代码一开始运行，则有三个对象（0,1,2）被执行loiter() 操作; 三秒后，对象0运行结束，得到结果result 0之后，对象3才开始被执行，同理，对象4的执行时间在对象1执行结果result 1打印结束之后。

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