sqlx VS SQLBoiler

sqlx for the database driver.

We've always used https://github.com/jmoiron/sqlx which is just the standard package + mapping to/from structs.

You can use this https://github.com/jmoiron/sqlx

I will be using sqlx to execute queries and map columns to struct fields and vice versa, sqlx is a library which provides a set of extensions on go's standard database/sql library.

sqlx + squirrel ftw

I'd rather suggest the use of tools more aligned with the core concepts of the language such as sqlx, which is an extension of the database/sql standard library. It allows you to use models/structs to map your tables but you have more control over the SQL statements you use to perform queries and the like. You can combine sqlx with Squirrel to build queries from composable parts.

IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here

This is the same situation I saw 20 years ago. Back then, all the managers were pushing development in Oracle tools. Those managers grew up on Oracle and Java was too modern for them. Now the situation is similar. Managers used to do things in Java and now they are still pushing Java. In fact, today Java brings nothing but problems. When I see a new project starting on Java it is always some big desperation. For a comparison of Java and Go, just look at the documentation for SQL. For go: https://pkg.go.dev/database/sql (31 pages) and maybe https://jmoiron.github.io/sqlx/ (12 pages). In Java only one class is 59 pages (https://docs.oracle.com/javase/8/docs/api/java/sql/ResultSet.html) and look how many of those documents there are: https://docs.oracle.com/en/java/javase/13/docs/api/java.sql/java/sql/package-summary.html and on top of that we have javax.sql - https://docs.oracle.com/javase/8/docs/api/javax/sql/package-summary.html And even then you use Hibernate for example, where the documentation has 11 manuals and of those the User Guide has 353 pages - https://docs.jboss.org/hibernate/orm/6.2/userguide/html\_single/Hibernate\_User\_Guide.html

If you're using Go, sqlboiler can do this for you in most common cases (e.g., fetch all the Users matching this filter, and for each User, fetch the related Company)

https://github.com/volatiletech/sqlboiler

SQLBoiler takes a database-first approach, generating Go code from your database schema. This means it creates highly optimized and custom-tailored code for your specific database schema. SQLBoiler is great for applications where the database schema is well-defined and changes infrequently. However, like sqlc, it requires regenerating the code when the database schema changes. It's well-suited for projects where performance is a key concern and the database design is stable​.

Moved all my projects to https://github.com/volatiletech/sqlboiler.

sqlboiler

My current ORM of choice is Bob [GitHub Link] which I created based on my experience using and maintaining SQLBoiler [GitHub Link].

You mean like ORMs? * sqlboiler: generates Go ORM using database schema.

SQL code generator (aka inspect a database or SQL files to generate data models). You have the option of using something like volatiletech/sqlboiler which looks at the a physical database and generates code based on the schema. Or SQLC which is an amazing and fast project.

After trying a half dozen migration engines for NodeJS, I was pleased to see Prisma and its excellent documentation. As a golang developer I am partial to SQLBoiler and its database-first approach, though perhaps this is a condition of our community where we want all the knobs. Prisma was code-first but still gave me enough control to feel confident.

I use sqlboiler which generates an ORM from your database, and sql-migrate which is a tool for managing SQL migrations. Although you have to write your migrations in SQL, which IMHO is a plus.