rust-magic-function-params VS atlas

Yes! https://github.com/alexpusch/rust-magic-function-params

An approach similar to https://github.com/alexpusch/rust-magic-function-params can be used here. Basically, define a trait and implement it on FnOnce(A) -> R, then do function.trait_method(args).

I don't know what it is called but this helped me understand how they worked a little bit. https://github.com/alexpusch/rust-magic-function-params

I've written a few backend APIs with rust and I have to disagree. Not only have the frameworks managed to get the ergonomics similar to your popular GC lang[0][1], the natural lack of shared mutable state of HTTP handlers means you very rarely have to encounter lifetimes and a lot of the language's advanced features. What's more, now when I go back to work with other languages, I can't help but notice the significant number of unit tests I'd not have had to write in Rust. It doesn't have a Rails and Django but it's an easy pick over anything at the language level.

A note on performance, Rust's the only langauge where I haven't had the need to update my unit test harnesses to `TRUNCATE` data base data instead of creating a separate db per test on PostgresSQL.

I'll also like to mention the gem that is SQLx[1]. As someone who's never been satisfied with ORMs, type checked SQL queries that auto-populate your custom types is revolutionary. With the error-prone langauge-SQL boundary covered, I was surprised just how good it can get making use of the builtin PostgreSQL features. Almost to the point that amount of effort the community's put to building great tools like Prisma.js and feel like a fool's errand (at least so for PosgreSQL).

[0]: https://github.com/alexpusch/rust-magic-function-params

[1]: https://github.com/juhaku/utoipa

[3]: lib.rs/crates/sqlx

I saw this recently. Besides that, take a look at some Axum examples particularly at Extensions and Extractors.

Check out: https://github.com/ariga/atlas

(I'm one of the authors of this project).

fwiw, I personally am interested in this approach too[0]. I keep running into roadblocks around the ordering of events and some of the hairy issues around "destructive" actions (eg: renaming columns). i think we can get there, especially once we make progress with this LSP.

There are other notable mentions in this space:

Reshape: https://fabianlindfors.se/blog/schema-migrations-in-postgres...

Atlas: https://atlasgo.io/

[0] https://github.com/kiwicopple/declarative-schemas

Atlas: https://github.com/ariga/atlas. It can be integrated with any ORM, but also has an official one for GORM: https://atlasgo.io/guides/orms/gorm

Run the queryx db:create command to create a PostgreSQL database, and then run queryx db:migrate to automatically create the database migration files and database structure. Queryx’s database schema management is built upon Atlas.

One of https://atlasgo.io's creators here.

In this case, I'd recommend you to check Atlas: https://github.com/ariga/atlas

My name is Rotem, I'm one of the creators of Atlas (https://atlasgo.io) a modern open-source schema management tool. Recently one of our engineers created a cool Django plugin that creates beautiful (in my eyes at least ;-)) and shareable ERDs from your Django data models.

Yes, there is: Atlas! https://atlasgo.io / https://github.com/ariga/atlas.

Hi there You should take a look at Atlas - https://atlasgo.io which can help your team in many aspects of CI/ CD for databases : * CI - detect (and prevent) risky / incorrect migrations automatically * CD - support for modern deployment infrastructure (terraform, helm, etc)

You might want to check out Atlas. It provides automatic migration planning for GORM, and has various guides on how deploying schema migration on the popular platform and tools, such as Helm, Kubernetes and ECS.