Fiber VS sqlc

To make my life easier, I added Fiber, a popular lightweight framework. Regardless of which package you use, the process and most of the code will remain unchanged.

Since you're from Nodejs just like me, I use fiber https://gofiber.io/ it's easier to understand from a Nodejs background (express, etc) and there's nothing wrong using it if you know it, your casual application wont need all the performance in the world Go provides

I think u should try Fiber it's the fastest according to the benchmarks and imo it's the best I love it!!!

Boneless is a powerful tool that offers a wide range of features to facilitate application development. In this blog post, we will explore some essential tools that can be used in conjunction with Boneless: Service Weaver, Go Migrate, SQLC, and Fiber. Let's discover how these tools can boost productivity and efficiency in application development.

Fiber

Fibber is web framework written in Go. It is very easy to learn. https://gofiber.io

don’t have an API at all - it’s a security vulnerability and unless you already know how to secure an API suite it’s very likely to increase risk for a dependent project. if you’re set on an API, use a well known routing package (e.g I love gofiber), and add an optional .withMiddleware() to your start func to allow clients to extend and secure the API themselves

I have loved using fiber. Very nice API with lots of configurability and it scales very well compared to echo, gin, etc.

"Is there a way to get sqlc to use pointers for nullable columns instead of the sql.Null types?"

I came across this yesterday for golang: https://sqlc.dev which is somewhat like what you want, maybe.

Not sure it allows you to parameterize table names but the basic idea is codegen from sql queries so you are working with go code (autocompletion etc).

Agreed, but tools like https://sqlc.dev, which I mention in the article, are a good trade-off that allows you to have verified, testable, SQL in your code.

sqlc is not strictly a conventional ORM. It offers a unique approach by generating Go code from SQL queries. This allows developers to write SQL, which sqlc then converts into type-safe Go code, reducing the boilerplate significantly. It ensures that your queries are syntactically correct and type-safe. sqlc is ideal for those who prefer writing SQL and are looking for an efficient way to integrate it into a Go application.

I was browsing awesome-go for ideas on how to setup my data access layer when I stumbled on sqlc. It seemed like a great option. Code generation is a strategy often used in the Go ecosystem and making my queries safe at compile time was an idea I really liked. Knex was great, but it required of me that I test thoroughly my queries at runtime and that I sanitize my query results to ensure type safety within my application.

Now, we are going to generate the code. For this purpose, we are going to use sqlc.

https://github.com/sqlc-dev/sqlc — for use with //go:generate