tern VS GORM

We have a repo with migrations written in SQL, and we use tern[1] to apply them.

[1]: https://github.com/jackc/tern

If you are using postgres and pgx you may want to use tern.

Recently i started using turn its more fun (IMPO) compared to others tool available https://github.com/jackc/tern

We use https://github.com/jackc/tern library (from the author of the pgx driver). We run migrations in k8s init containers and we do not do rollbacks (only up). Advantages over other popular solutions are:

I’ve been happy with https://github.com/jackc/tern .

I use tern for migrations. It’s from the same Author as pgx so everything in that ecosystem plays well.

Now my next issue is I'm trying to install tern using the "go versions 1.17 and higher" instructions in the docs here https://github.com/jackc/tern

I use https://github.com/jackc/tern + .env files which interpolate with its config for various environments.

Tern is a great language and framework agnostic solution for SQL migrations https://github.com/jackc/tern

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