ent VS mux

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

This attention to detail also can mean that for key abstractions in a tool or framework, what concretely goes on doesn't go unexplained. For example, when I was learning Go for web development, my first stumbling block was understanding how interfaces worked, particularly http.Handler, which is key to doing web development with Go's powerful net/http package and the fits-like-a-glove package built on top of it, the Gorilla Mux router. My way of finding out how that worked, and seeing the elegance of that interface, was pretty unorthodox - I figured out how Handlers worked by looking directly at Go's source code (which also is a demonstration of Go's readability, if you're interested in joining the Gophers!). And coming out of that was my very first tech talk at in 2015, on learning Gorilla from its Node.js counterpart, Express.js!

In this ApiGateway implementation, we've employed the Gorilla Mux router for enhanced route handling. Let's break down the key components:

Now that we have set up the Go environment, we can start building our API. The first step is to choose a framework. There are several popular frameworks for building APIs in Go, such as Gorilla mux, Echo, and Gin. For this article, we'll use Gorilla mux.

Mir is a toolkit to develop RESTful API backend service like develop service of gRPC. It adapt some HTTP framework sush as Gin, Chi, Hertz, Echo, Iris, Fiber, Macaron, Mux, httprouter。

My personal favorite tools: - https://github.com/go-kit/ for building services (although it's not necessary a great tool for prototyping) - https://github.com/gorilla/mux router (although it's been recently deprecated, so I'm looking for a similar, maintained library) - https://entgo.io/ ORM - https://watermill.io/ for messaging

We will be using Gorilla Mux to create the APIs locally. Gorilla Mux implements a request router and dispatcher to match the incoming requests.

FYI, Gorilla Mux has been archived. It’s easy to write this without it.