kelseyhightower/envconfig VS GORM

To configure the app I'd take a look at https://github.com/kelseyhightower/envconfig

envconfig

- Having one way of configuring the app is excellent. You can either prefer environment variables, a file, or flags. You can do what Viper does by reading the file and unmarshalling it. The built-in flag package is enough for your flag-based config needs. If you want to prefer environment variables, I prefer https://github.com/kelseyhightower/envconfig

To extract values from the system environment, I utilize envconfig, a Go package. Envconfig facilitates mapping system environment variables to a Go struct. These Go structs are exposed through a config package, enabling other parts of the application to access them.

You could prefix your env vars and use this package. https://github.com/kelseyhightower/envconfig

kelseyhightower/envconfig

Pretty much all of our services and pkgs use https://github.com/kelseyhightower/envconfig. It’s dead simple, gets out of your way, and is battle tested

https://github.com/kelseyhightower/envconfig (read config from environment variables, more succinct than viper)

GORM is a comprehensive ORM tool in Go, offering a code-first approach which allows defining database schemas using struct tags in Go. It's known for its developer-friendly nature, making it suitable for both beginners and experienced users. GORM supports a variety of SQL databases like MySQL, PostgreSQL, and SQLite. It's designed to be flexible, allowing developers to drop down to raw SQL when necessary. However, it's important to be cautious about its performance implications in large-scale applications.

Homepage: https://gorm.io/

Since most of these APIs will be simple CRUD (Create/Read/Update/Delete) endpoints, let's build this service using GORM, an ORM library that makes building CRUD endpoints really simple.

After successfully configuring the application, it's time to delve into integrating the data layer. For this purpose, I will utilize gorm, a powerful SQL ORM that facilitates rapid development of the data layer using model structs.

For basic INSERT ... VALUES ... or SELECT ... WHERE ... JOIN ..., use a library such as GORM. For INSERT .... SELECT ... statements where one combines two round trips (SELECT and INSERT) into one, ORMs have a hard time performing this query. Particularly when you start doing joins. Joins are the heart of Relational database theory (they denote relationships). So get to know what an INNER, LEFT, RIGHT and OUTER join is and why you would use them. Also learn INSERT ... SELECT ...

I have never hated gorm and it serves me well. However I tend to feed it raw SQL very often.

Array of values with embedded value all pointed to the last value, reflect code was broken: https://github.com/go-gorm/gorm/pull/5901 data corruption