twirp VS GORM

The next time I want to build an API, I will probably make use of https://github.com/twitchtv/twirp. I like working with Protobuf and having strongly-typed and well-defined messages, but gRPC is way, way too much. It's obviously a Google product, built for what Google needs.

Use Protobuf for messages, but just use HTTP for transport.

- Twirp (Twitch light version of gRPC, with optional JSON encoding, HTTP1 support and without streaming) - https://github.com/twitchtv/twirp

There is another: twirp

And addition to what was mentioned there are also webrpc and twirp.

If you find one, you maybe also interested in twirp.

Twitch has a great framework for it https://twitchtv.github.io/twirp/docs/intro.html

We have better experience with https://goa.design/ than with https://github.com/twitchtv/twirp

Take a look at Twirp (https://github.com/twitchtv/twirp) open sourced by TwitchTv. It's a lot lighter weight than gRPC. It does use Protobufs but addresses some of the concerns you mentioned, such as being able to test with JSON payloads, works over HTTP 1.1 and HTTP/2, good client libraries, and doesn't require a proxy.

They address your concerns in more detail in the Twirp release announcement (2018) - https://blog.twitch.tv/en/2018/01/16/twirp-a-sweet-new-rpc-f...

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