I have a module utils/load_data.py where multiple files are being read from the cloud and stored in-memory.
I then import these in each page as required, e.g. from utils.load_data import variable_1.
Sometimes the underlying data has to be updated - how do I make that update apply to each page? Using the importlib module and its .reload() method has not been successful so far.
Hello @nikok!
Please check my reply on similiar question here:
If you will have more questions please state more details and we will try to answer.
These are datasets that are too big to store on the user-side, 300mb in total approx. Basically, only the user (and subsequently its user-specific filters) are currently stored in dcc.stores. Rn, since we are still experimenting a lot these get updated a couple of times a day, in production it will be approx. weekly.
Yeah I understand the hurdle @nikok . I am dealing with the same issue and I described my solution here: Automated Dashboard Python Dash - #5 by martin2097
I understand that updating global variables is not optimal but I did not come with any better solution (I work even with bigger data few gigabites big). I use scheduler for around a year in our internal setup with about 10-20 user and for last year there was no problem with it.
I will be glad if somebody will come with better and architecturally better solution 