go-pg VS sqlc

Might have been this one but I can't be sure https://github.com/go-pg/pg

I usually work with PostgreSQL and have used https://github.com/go-pg/pg. https://github.com/uptrace/bun is its successor.

And it is go-pg. I personally really like it as a query builder (rather than an ORM) and it has good performance. It has one feature which I'll tell you about next, without which I would have struggled to implement what I had in mind. But this feature is available in other libraries too, so don't rush to rewrite your code.

bun and go-pg both seem to work fairly well for these kind of purposes.

For database communication we will use go-pg module. You can install it by running go get github.com/go-pg/pg/v10. This will install version 10 of go-pg module, which is latest version at the time of writing this guide. Now create new directory internal/database/ and file database.go inside of it.

gorm.io/gorm`, or `github.com/go-pg/pg` if you need something more feature-rich. I would avoid using `go-kit` and `go-micro` "frameworks" unless you have some special requirement for it. But you can take a look to have an idea of what Go "framework" may look like.

This one is mostly excellent: https://github.com/go-pg/pg

"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