goqu VS GORM

For SQL, I'd probably go with goqu http://doug-martin.github.io/goqu/

I use goqu (https://github.com/doug-martin/goqu)

SQL Builders (think squirrel or goqu)

I've been looking for a package that allows me to build Postgres DDL statements in Golang. I'm currently using Goqu (https://github.com/doug-martin/goqu) for building statements and it works great, however it does not have support for building schemas. Basic things like creating tables, creating indexes. A great one in JavaScript can be found here: (https://knexjs.org/guide/schema-builder.html#essentials) I have been unable to find anything in Go, does anyone know of any packages like this?

Then use something like https://github.com/doug-martin/goqu to build the SQL.

Try this

We've been using goqu and it's super nice! although there are a ton of other query builders that could better fit your use-case.

If the statement is too dynamic to use query parameters I'd ideally use a dynamic query builder rather than concatenating strings. Goqu is a lib like that but I haven't yet used it personally https://github.com/doug-martin/goqu

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