go-patterns VS ent

3). GO Patterns

Re Go, there are a lot of lot of good patterns available available, but a lot of them aren’t OOP specific. In fact, both Go and Rust have been influenced by multiple paradigms, including OOP. Like the FAQ says,

What's great is there are really great patterns to follow out there on github (both code patterns https://github.com/tmrts/go-patterns and examples https://github.com/avelino/awesome-go https://github.com/go-kit/kit and for the app itself, https://github.com/golang-standards/project-layout )... and for me a really naggy mentor who insists everything be "idiomatic go"

So I am trying to write a simple generator based on this pattern and the results are a little counter-intuitive. My goal is to create a generator like the above that takes a net.IPNet object and ranges over all net.IP`'s contained in that network. When printing results, I am seeing the same values show up in subsequent executions of the loop and am not sure why. Code follows:

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