When setting up a search it would be great to see how much data this search would need to download to display all the items for that particular search.
I know this might not be something that a lot of users find useful when first building with an empty database, but for those who have databases filled with data from the outset it would greatly help to improve not only our search parameters and therefore page load speed, but could also trigger creative ideas in our database structure and page structure to increase load speeds.
As of now when building a search I am in the dark on how much data is going to be downloaded for the search to return all results in the database, so no idea how to improve my page performance which is negatively impacted by the searches. I also have no way of knowing how much data is attributed to images, texts and database related tables.
For example, if I have a list of national retailers who all have images stored directly on the image retailer data type as a data field list of images, I don’t know if that would be better constructed to instead have a related table of retailer images which is related on the retailer listing data type as a data field. These differences in the database structure I assume could have an impact on the amount of data that is downloaded when performing a search for retailer listings.
Ultimately at this point it seems bubble would have the capability to analyze the amount of data needed to downloaded when performing a search. Maybe there could be a button on the RG element editor that says “analyze this search” and we can basically perform the search and see how much data is downloaded. That way we can really optimize our searches with page performance in mind, especially when we get these type of warning messages in the debugger to ‘simplify our search’
