hertz-examples VS GORM

The main content of this post is to introduce a bizdemo hertz_session. The link to the demo is here.

cloudwego/hertz-examples

The previous post briefly introduced a high-performance Go HTTP framework - Hertz. This article is based on a demo from the Hertz open-source repository. tree/main/bizdemo/hertz_jwt), which describes how to use Hertz to complete the JWT authentication and authorization process.

Shell git clone https://github.com/cloudwego/hertz-examples.git cd bizdemo/hertz_gorm

In this post, you'll learn more about using the Hertz framework with an official demo.

Go doesn't support migrations natively for that propuso we can use the popular golang-migrate package also if you use an ORM like GORM you can use it for that.

I never understood why people are so stubborn about hating on orm.

For example I'm familiar with https://gorm.io and it does save me a lot of time and useless boilerplate.

And guess what, if I ever need to make a complex query, I also happen to know SQL, and I'm just going to make a "raw" query https://gorm.io/docs/sql_builder.html#Raw-SQL and be done with it.

It's not all that hard.

SQL database: PostgreSQL Object Relation Mapping using Gorm

The previous post demonstrated receiving the raw data and unmarshalling it into a struct that was already annotated with gorm tags. Gorm is a popular ORM for Go. If you are not familiar with it, you can for more information here.

GORM is a, quite conveniently named, ORM for GO

Written in GIN framework and uses GORM as ORM.

There are ORMs like gorm that supports some kind of documentation with files, but they mainly focus on converting the database to "things" in the code to be used by the ORM, and not as documentation only/documentation-first.

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/