Database schemas being perfect out-of-the gate was replaced by reliable migrations.
If it's not data that's essential to serving the current functionality, just add a column later. `updated_at` doesn't have to be accurate for your entire dataset; just set it to `NOW()` when you run the migration.
In C#-land, we just have it as a standard that ~every table inherits from `ITrackable`, and we wrote a little EF plugin to automatically update the appropriate columns.
public interface ITrackable { DateTime CreatedOn {get; set;} DateTime ModifiedOn {get; set;} }
Saves so much time and hassle.
“Reliable migrations” almost seems like an oxymoron. Migrations are complicated, difficult and error prone. I think there’s a good takeaway here around good initial schema design practices. The less you have to morph your schema overtime, the less of those risky migrations need to run.
Still depends on what the data represent: you could get yourself in a storm of phone calls from customers if after your latest release there's now a weird note saying their saved document was last updated today.
"HOW DARE YOU MODIFY MY DOCUMENTS WITHOUT MY..."
Sure, migrations are bearable (especially ones that only add columns).
But for the example of the "updated_at" column, or "soft delete" functionality, you only find out you need it because the operations team suddenly discovered they needed that functionality on existing production rows because something weird happened.