8 points snikolaev 3 days ago 11 comments
gregw2 3 days ago | parent
I did it with production Scala apps over a decade ago. I even built sproc TDD test suites.
joeblubaugh 23 minutes ago | parent
murphomatic 8 minutes ago | parent
joeblubaugh 24 minutes ago | parent
saxenaabhi 16 minutes ago | parent
> So what does a stored procedure get us? >Absolutely nothing! Well, I mean, headache for one. > ... we have to deploy migrations to update our queries, and we have to run diff migration_for_my_sproc migration_for_my_sproc_n to see how things changed
1) You can version sql functions in your repo alongside your code and deploy sql function alongside your db migrations(even in the same transaction).
Have one file per sql function and you can also compute checksums to speed it up if like me you have a repo with 600 stored procedures.
2) With stored procedures you have no need to to db.startTransaction on server when executing multiple statements and wait for db round trips. That's often the biggest reason for preferring stored procedures.
3) I have seen systems in healthcare/finance where different teams have no access to underlying tables and the db only exposes sql procedures. Every-time a procedure is called it also adds a log entry to an audit table.
Databases are a great piece of technology! Learning how to use them properly can have huge payoff in terms of business value generation.
EDIT: not mentioned in this article but people often mention testing difficulties with stored procedures.
You can have normal vitest tests testing your postgres functions with in-memory pglite.
jeremyjh 10 minutes ago | parent
For a large system that has many different teams working on it, it is better to have a core API layer with clear ownership, than to not have one. But why would you choose to build that with database stored procedures? If this was built 25+ years ago, then that is all the answer that is needed.
saxenaabhi 2 minutes ago | parent
I can see usecases in which API could make sense, but it doesn't matter in most cases.
SQL already has authorization/authentication built in. For rate limiting you can use something like planetscale's traffic control.
jeremyjh 8 minutes ago | parent
calvinmorrison 7 minutes ago | parent
additionally the logic is very far away from the data in many cases, obfuscated through layers of data modelling.
If there was a way to bring these closer, that would be nice.
est 5 minutes ago | parent