Do multiprocessing pools give every process the same number of tasks, or are they assigned as available?

Question

When you map an iterable to a multiprocessing.Pool are the iterations divided into a queue for each process in the pool at the start, or is there a

Answer 1

http://docs.python.org/2/library/multiprocessing.html#multiprocessing.pool.multiprocessing.Pool.map

map(func, iterable[, chunksize])

This method chops the iterable into a number of chunks which it submits to the process pool as separate tasks. The (approximate) size of these chunks can be specified by setting chunksize to a positive integer.

I presume a process picks up the next chunk from a queue when done with previous chunk.

The default chunksize depends on the length of iterable and is chosen so that the number of chunks is approximately four times the number of processes. (source)