powderkeg
Live-coding the cluster! (by HCADatalab)
sqlx
general purpose extensions to golang's database/sql (by jmoiron)
powderkeg | sqlx | |
---|---|---|
1 | 71 | |
158 | 15,586 | |
0.0% | - | |
10.0 | 4.1 | |
over 5 years ago | 3 days ago | |
Clojure | Go | |
Eclipse Public License 1.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
powderkeg
Posts with mentions or reviews of powderkeg.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-14.
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Python: Just Write SQL
As a data engineer, the pattern the OP shares is very familiar. I find it much preferable to use of ORMs for wide variety of reasons. However, I view implementing with SQL as an antiquated problem rather than a pragmatic feature. The evolution of this pattern would be to integrate database querying into languages more directly and eliminate SQL entirely. While this could be achieved in Python, I find that a language like Clojure, via functional programming (FP) primitives and transducers, is a natural candidate, particularly for JVM implemented databases. Rather than encapsulating SQL via query building or ORM based APIs, an FP core could be integrated into database engines to allow, via transducers, complex native forms to be executed directly across database clusters. Apache Spark is an analog of this. In particular the Clojure project, powderkeg (https://github.com/HCADatalab/powderkeg) demonstrates the potential of utilizing transducers in a database cluster context.
sqlx
Posts with mentions or reviews of sqlx.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-05-05.
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Migrating Next.js App to GO + Templ & HTMX
sqlx for the database driver.
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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?
What are some alternatives?
When comparing powderkeg and sqlx you can also consider the following projects:
pugsql - A HugSQL-inspired database library for Python
pgx - PostgreSQL driver and toolkit for Go
typed-sql
sqlc - Generate type-safe code from SQL
squiller - Generate boilerplate from annotated SQL queries
Squirrel - Fluent SQL generation for golang
sql-template-tag - ES2015 tagged template string for preparing SQL statements, works with `pg`, `mysql`, and `sqlite`
go-sql-driver/mysql - Go MySQL Driver is a MySQL driver for Go's (golang) database/sql package
sqlz - Simple struct/slice/chan mapper for SQL rows.
gomock - GoMock is a mocking framework for the Go programming language.
yesql - A Clojure library for using SQL.
SQLBoiler - Generate a Go ORM tailored to your database schema.