Hello everyone,
From what I understood, the Python tool has to load a virtual environment in Alteryx everytime the tool is run, which causes an incompressible initial loading time for each instance of its use.
We expect to run over a hundred workflows daily using the Python tool.
Is there a way to load the environment once and for all at the start of/upstream of execution to ensure better performance for all workflows?
Things that we've tried so far to boost performance:
- Putting all Python tools in Production mode
- Disabling Auto Configure
- Putting the Python tool outside of a macro and running the whole dataset through the tool (instead of reiterating the loading time with every line being ran through the macro)
Thank you all in advance, :)
