问题
Getting extended processing times inside web2py when running clustering algorithms.
Tried running the algorithm on a standalone python instance and it finishes in 4-5s, in web2py, it takes over 10 minutes.
How do I pass the parameters from web2py user input to run the algorithm on a separate python instance, finish in 4-5s and return the results to web2py user view?
回答1:
You should use http://docs.python.org/2/library/subprocess.html#module-subprocess to a brand new Python instance and passing parameter through stdin / stdou using pickling (serialization).
来源：https://stackoverflow.com/questions/17808815/how-to-run-a-task-outside-web2py-and-retrieve-the-output