goose
sqlx
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goose | sqlx | |
---|---|---|
28 | 70 | |
5,637 | 15,365 | |
6.4% | - | |
8.9 | 0.0 | |
2 days ago | 2 days ago | |
Go | Go | |
GNU General Public License v3.0 or later | MIT License |
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goose
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Recent improvements to the pressly/goose migration tool
In v3.16.0 we added a new Provider feature that unlocks the ability to implement a lot of highly requested features. More details in the blog post:
- How are y'all that are using raw sql doing DB Migrations?
- Why elixir over Golang
- Is there a similar tool or alternative in Go like strong_migrations?
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How do you handle migrations ?
Next try https://github.com/pressly/goose We have this setup to be run by the CI-CD pipeline to be run before the application is started. BTW, this utility is compatible with https://sqlc.dev , so they work good together.
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Does this project structure make sense?
For database migration I recommend https://github.com/pressly/goose As it works with sqlc and is a powerful tool for complex migrations. This is something a lot of ORMs are really weak with. I was on a large project with Gorm as the ORM and what a nightmare when we pushed to production!
- Are there any decent ORMs in Golang?
- Don't Mock the Database
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Writing tests for APIs
goose https://github.com/pressly/goose - data migration and seed data creation
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A beginner's guide to creating a web-app in Go using Ent
I'm using .sql migration files with tooling similar to https://github.com/pressly/goose . Is there a way to manage my schema with my pre-existing tooling and my queries/CRUD operations with Ent/Atlas?
sqlx
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Python: Just Write SQL
We've always used https://github.com/jmoiron/sqlx which is just the standard package + mapping to/from structs.
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Golang equivalent of MyBatis/iBatis
You can use this https://github.com/jmoiron/sqlx
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REST API with Go, Chi, MySQL and 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.
- PHP to Golang
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Best sqlc alternative for dynamic queries?
sqlx + squirrel ftw
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Does Go, has something similar to Laravel eloquent (ORM) ?
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.
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Tools besides Go for a newbie
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
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Where Is the Spring Framework for Go?
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
- Is sqlx still maintained?
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Golang tech stack
sqlx
What are some alternatives?
migrate - Database migrations. CLI and Golang library.
pgx - PostgreSQL driver and toolkit for Go
dbmate - :rocket: A lightweight, framework-agnostic database migration tool.
sqlc - Generate type-safe code from SQL
go-migrate - Abstract task migration tool written in Go for Golang services. Database and non database migration management brought to the CLI. [Moved to: https://github.com/g14a/metana]
Squirrel - Fluent SQL generation for golang
liquibase - Main Liquibase Source
go-sql-driver/mysql - Go MySQL Driver is a MySQL driver for Go's (golang) database/sql package
alembic - A database migrations tool for SQLAlchemy.
gomock - GoMock is a mocking framework for the Go programming language.
pig - Simple pgx wrapper to execute and scan query results
SQLBoiler - Generate a Go ORM tailored to your database schema.