相关疑难解决方法(0)

我有以下错误:

$ sudo chmod a+rwxt /dev/shm/
$ ls -ld /dev/shm/
drwxrwxrwt 2 root root 4096 Feb  4 06:56 /dev/shm/
$ python
Python 2.6.6 (r266:84292, Dec 26 2010, 22:31:48) 
[GCC 4.4.5] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import multiprocessing
>>> mp = multiprocessing.Pool(2)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/lib/python2.6/multiprocessing/__init__.py", line 227, in Pool
    return Pool(processes, initializer, initargs)
  File "/usr/lib/python2.6/multiprocessing/pool.py", line 84, in __init__
    self._setup_queues()
  File "/usr/lib/python2.6/multiprocessing/pool.py", line 131, …

AWS Lambda 上的 Python 不支持multiprocessing.Pool.map()，如另一个问题中所述。请注意，另一个问题是问为什么它不起作用。这个问题不同，我问的是在缺乏底层支持的情况下如何模拟功能。

另一个问题的答案之一为我们提供了以下代码：

# Python 3.6
from multiprocessing import Pipe, Process

def myWorkFunc(data, connection):
    result = None

    # Do some work and store it in result

    if result:
        connection.send([result])
    else:
        connection.send([None])


def myPipedMultiProcessFunc():

    # Get number of available logical cores
    plimit = multiprocessing.cpu_count()

    # Setup management variables
    results = []
    parent_conns = []
    processes = []
    pcount = 0
    pactive = []
    i = 0

    for data in iterable:
        # Create the pipe …