rules_nixpkgs VS ent

I have spent a little bit of time working on a prototype of a setup like this, and have needed to write a lot of (hacky) glue and BUILD files.

I take it you have departed quite a bit from https://github.com/tweag/rules_nixpkgs ? Are you generating BUILD.bazel files for nixpkgs, or are you doing that by hand?

I'm a fan of Tweag's rules_nixpkgs for bazel: https://github.com/tweag/rules_nixpkgs

Check out rules_nixpkgs as another way to get hermetic python. It does require that you install Nix, but everything else is driven from the Bazel side. Works for us on Linux and macos.

Cool, thanks for the link.

For what it's worth, we use rules_nixpkgs to source Postgres (for Linux and Darwin) as well as things such as C and Python toolchains, and it's been working really well. It does require that the machine have Nix installed, though, but that opens up access to Nix's wide array of prebuilt packages.

https://github.com/tweag/rules_nixpkgs

In this article, we'll delve into the world of concurrency control in Go, specifically focusing on the optimistic locking approach. We'll explore its implementation using Ent ORM to illustrate how to manage data consistency when multiple users interact with the same resource. Keep in mind that this example serves as a simplified illustration, and real-world booking systems involve a many of additional complexities. However, the core concepts presented here provide a solid foundation for understanding optimistic locking in Go applications. Feel free to explore the complete source code in my GitHub repository for a more in-depth look at the implementation.

ent is a fairly recent ORM that uses a code-first approach where you define your schema in Go code. Ent is popular thanks to its ability to handle complex data models and relationships elegantly. It's statically typed, which can help catch errors at compile time. However, the learning curve might be steeper compared to more straightforward ORMs like GORM. It's a good fit for applications where complex data models and type safety are priorities.

If you found this article, than you are probably similar to how I was a few months ago. I started a project in Go that required a SQL backend and I wanted to use any tool that would help me build this backend quickly. I stumbled upon entgo (an ORM for Go) and decided to give it a try.

The ent orm for golang actually does some useful work for you. https://github.com/ent/ent

Backend Database interaction with entgo

You can use entgo.io for ORM stuff, it also has entgql extension that integrated with GQLGen. See more at the document: https://entgo.io/docs/tutorial-todo-gql