[anonzzzies]

That seems due to the leaky abstractions that ORMs invite; they appear to be just 'normal code'; just working with structures, objects and variables like you would normally do in code. In reality you have to really know the insides, performance characteristics etc of the db you are using. We encounter a massive amount of codebases from the last ~10 years that are built like there is no database to account for, so there are usually not even indices, there are indeed loops doing inserts etc.

Stored procs might be considered evil; they did make the developer acutely aware of the innards of the database instead of just not even knowing how a db works and which things are expensive. To know that you need to look past the leaky abstraction of ORMs and that's distracting from making features.

I have heard tech leads in this situation claim that because everything runs fine in the cloud without knowing anything about postgres/mysql/dynamo etc, and those extra costs are cheaper than people, it's fine. But our team wasn't hired because it was fine; we were hired because hosting costs were eclipsing the developer costs. It's not that hard to do when stuff is just incredibly badly built...

[happymellon]

They don't even need to be stored procedures, just having proper queries in the code to perform the database actions would be preferable to ORM.

Another big issue I have with ORMs is that a lot of them are hostile to you writing queries in the first place. Network IO is the worst, please stop trying to force us to use your terrible overlay.

[foobiekr]

I’m going to start having a seizure if I keep reading this thread because I agree so strongly.

It is painful looking at modern software development. They don’t know the basics and the whole Agile/TDD thing I think was the start of the end because table schema (and every other kind of planning) is not really compatible with agile.