ent VS awesome-go-orms

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

> we'd see the same problem everywhere at the same scale

we do. Every C app implements its own linked list or hash table library. The entire Scheme community is nothing but toy interpreters of various stages of completeness (you can tell a project is serious when they implement call/cc). How many game engines do you think exist? It's a meme that game devs like to spend more time on their pet game engine than actually making their game. How many ORMs do you think exist for ? At least half a dozen. At least. For any given language. Python, Ruby, Go[1]. ORMs, in particular, seem to get created over and over again. Probably because they are trivial to implement and allows one to voice their opinions on SQL abstraction (bike shedding).

[1] https://github.com/d-tsuji/awesome-go-orms

I created a PR to add Ent to the list. See https://github.com/d-tsuji/awesome-go-orms/pull/8