Unfortunately after lots of experimentation I wasn't able to get the multiprocessing module to work with web2py. What I did find however was that I could use subprocess.check_output to launch a Python script containing the multiprocessing module and a pool of workers, and I can get data to the script by passing it command line arguments. The check_output function returns script results "print"ed to stdout which I could then parse back in the web2py process and use to update my database. So it looks like multiprocessing can work as long as you use it in an external script running in its own instance of python. Hope this helps someone!
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