SQLBoiler VS mux

SQLBoiler takes a database-first approach, generating Go code from your database schema. This means it creates highly optimized and custom-tailored code for your specific database schema. SQLBoiler is great for applications where the database schema is well-defined and changes infrequently. However, like sqlc, it requires regenerating the code when the database schema changes. It's well-suited for projects where performance is a key concern and the database design is stable​.

Moved all my projects to https://github.com/volatiletech/sqlboiler.

sqlboiler

My current ORM of choice is Bob [GitHub Link] which I created based on my experience using and maintaining SQLBoiler [GitHub Link].

You mean like ORMs? * sqlboiler: generates Go ORM using database schema.

SQL code generator (aka inspect a database or SQL files to generate data models). You have the option of using something like volatiletech/sqlboiler which looks at the a physical database and generates code based on the schema. Or SQLC which is an amazing and fast project.

After trying a half dozen migration engines for NodeJS, I was pleased to see Prisma and its excellent documentation. As a golang developer I am partial to SQLBoiler and its database-first approach, though perhaps this is a condition of our community where we want all the knobs. Prisma was code-first but still gave me enough control to feel confident.

I use sqlboiler which generates an ORM from your database, and sql-migrate which is a tool for managing SQL migrations. Although you have to write your migrations in SQL, which IMHO is a plus.

FWIW, the other posts point to https://gobuffalo.io/ and https://github.com/volatiletech/sqlboiler as possibilities.

This is not a disproval, but gorilla/mux has comparatively poor benchmark results among popular (many stars) third-party HTTP routers. , used by many users.

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.