Is there a way to 'reload' meltano.yml in between airflow orchestration? For example, if I change some configurations on the extractor, how do I make it being reflected on the next run? Or is just restarting the scheduler only way? Is there a good command to restart the scheduler then?

the scheduler should be executing

orchestrate/meltano.py

periodically, which should be parsing

meltano.yml

on each execution - I don’t know what the default is, but in MWAA it was executing

meltano.py

every minute I believe