tern VS ent

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

In this article, we'll delve into the world of concurrency control in Go, specifically focusing on the optimistic locking approach. We'll explore its implementation using Ent ORM to illustrate how to manage data consistency when multiple users interact with the same resource. Keep in mind that this example serves as a simplified illustration, and real-world booking systems involve a many of additional complexities. However, the core concepts presented here provide a solid foundation for understanding optimistic locking in Go applications. Feel free to explore the complete source code in my GitHub repository for a more in-depth look at the implementation.

ent is a fairly recent ORM that uses a code-first approach where you define your schema in Go code. Ent is popular thanks to its ability to handle complex data models and relationships elegantly. It's statically typed, which can help catch errors at compile time. However, the learning curve might be steeper compared to more straightforward ORMs like GORM. It's a good fit for applications where complex data models and type safety are priorities.

If you found this article, than you are probably similar to how I was a few months ago. I started a project in Go that required a SQL backend and I wanted to use any tool that would help me build this backend quickly. I stumbled upon entgo (an ORM for Go) and decided to give it a try.

The ent orm for golang actually does some useful work for you. https://github.com/ent/ent

Backend Database interaction with entgo

You can use entgo.io for ORM stuff, it also has entgql extension that integrated with GQLGen. See more at the document: https://entgo.io/docs/tutorial-todo-gql