Need to refine this questions but here the main idea.
How does an analysis determine if they need to rerun all function and push an updated resource to the public site.
Two means
-1. test for updates on all individual sources
-
- run the processes and test for difference between current and previous output
I only want to apply option one for datasets that are updated manually. When you do that just rerun the process and update data on the application
If the data processing is fast enough, I'd suggest running the data processing code once every month and using something described here
https://stackoverflow.com/questions/43081791/in-r-find-whether-two-files-differ/53333988 answer by stephanmg
to determine if the new output file is different from the previous, if so the new file is save if not the previous file remains and now updates are needed.
Need to refine this questions but here the main idea.
How does an analysis determine if they need to rerun all function and push an updated resource to the public site.
Two means
-1. test for updates on all individual sources
I only want to apply option one for datasets that are updated manually. When you do that just rerun the process and update data on the application
If the data processing is fast enough, I'd suggest running the data processing code once every month and using something described here
https://stackoverflow.com/questions/43081791/in-r-find-whether-two-files-differ/53333988 answer by stephanmg
to determine if the new output file is different from the previous, if so the new file is save if not the previous file remains and now updates are needed.