gnorm
upper.io/db
gnorm | upper.io/db | |
---|---|---|
3 | 6 | |
482 | 3,479 | |
0.0% | 0.1% | |
0.0 | 5.1 | |
almost 2 years ago | about 2 months ago | |
JavaScript | Go | |
GNU General Public License v3.0 or later | MIT License |
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.
gnorm
-
Architecture Pitfalls: Don’t use your ORM entities for everything — embrace the SQL!
Furthermore, there can be a lot of boilerplate queries we do that it's nice to not have to write, say, the same kind of delete query over and over. In the past I've used gnorm as one way of generating all that boilerplate code based on the actual database design, and it works reasonably well, but again it plays a similar role to an ORM.
-
Is it just me who doesn't agree with db first ORM model?
I've used gnorm for that in the past for some code generation, and I had absolute control. Gnorm took care of the database inspection side of things, and I created the templates it used to generate the code. I had full control over generated models and code.
-
We Went All in on Sqlc/Pgx for Postgres and Go
I'm a big fan of the database first code generator approach to talking to an SQL database, so much so that I wrote pggen[1] (not to be confused with pggen[2], as far as I can tell a sqlc fork, which I just recently learned about).
I'm a really big partisan of this approach, but I think I'd like to play the devil's advocate here and lay out some of the weaknesses of both a database first approach in general and sqlc in particular.
All database first approaches struggle with SQL metaprogramming when compared with a query builder library or an ORM. For the most part, this isn't an issue. Just writing SQL and using parameters correctly can get you very far, but there are a few times when you really need it. In particular, faceted search and pagination are both most naturally expressed via runtime metaprogramming of the SQL queries that you want to execute.
Another drawback is poor support from the database for this kind of approach. I only really know how postgres does here, and I'm not sure how well other databases expose their queries. When writing one of these tools you have to resort to tricks like creating temporary views in order infer the argument and return types of a query. This is mostly opaque to the user, but results in weird stuff bubbling up to the API like the tool not being able to infer nullability of arguments and return values well and not being able to support stuff like RETURNING in statements. sqlc is pretty brilliant because it works around this by reimplementing the whole parser and type checker for postgres in go, which is awesome, but also a lot of work to maintain and potentially subtlety wrong.
A minor drawback is that you have to retrain your users to write `x = ANY($1)` instead of `x IN ?`. Most ORMs and query builders seem to lean on their metaprogramming abilities to auto-convert array arguments in the host language into tuples. This is terrible and makes it really annoying when you want to actually pass an array into a query with an ORM/query builder, but it's the convention that everyone is used to.
There are some other issues that most of these tools seem to get wrong, but are not impossible in principle to deal with for a database first code generator. The biggest one is correct handling of migrations. Most of these tools, sqlc included, spit out the straight line "obvious" go code that most people would write to scan some data out of a db. They make a struct, then pass each of the field into Scan by reference to get filled in. This works great until you have a query like `SELECT * FROM foos WHERE field = $1` and then run `ALTER TABLE foos ADD COLUMN new_field text`. Now the deployed server is broken and you need to redeploy really fast as soon as you've run migrations. opendoor/pggen handles this, but I'm not aware of other database first code generators that do (though I could definitely have missed one).
Also the article is missing a few more tools in this space. https://github.com/xo/xo. https://github.com/gnormal/gnorm.
[1]: https://github.com/opendoor/pggen
upper.io/db
-
[Hiring] Remote Golang job: Senior Backend Engineer (Go) at Horizon (Toronto, Canada)
You will be joining the expert Go team at Horizon, previously who in our spare time + for fun, authored OSS projects like chi (https://github.com/go-chi/chi), upper/db (https://github.com/upper/db), webrpc (https://github.com/webrpc/webrpc), goware (https://github.com/goware), and much more. Our Go codebases are extremely clean and the patterns we've built have been shaped over 7 years of writing production Go systems and open source projects. These are the patterns which we apply to our infrastructure at Horizon in our products Skyweaver and Sequence.
-
Looking for some ORM/db access layer suggestions
You might want to give https://upper.io/ a try
-
Migrating from PHP to Go
upper.io is a viable alternative to GORM. Just a suggestion.
-
We Went All in on Sqlc/Pgx for Postgres and Go
this is the reason why I chose upper/db over pgx/sqlc for my current cockroachdb side project
while upper/db is not as type safe, with proper testing infrastructure, it's the closest to django due to its simplicity/composability/query building support
i'm also excited to see how upper/db grows after generics land in Go later this year
https://github.com/upper/db
https://upper.io/
-
Has anybody moved from Django (python) to any of the Go backend frameworks?
So far, I've enjoyed using https://github.com/upper/db for raw query building.
- New advanced, CGo-free SQLite package
What are some alternatives?
pggen - A database first code generator focused on postgres
GORM - The fantastic ORM library for Golang, aims to be developer friendly
sqlparser-rs - Extensible SQL Lexer and Parser for Rust
ent - An entity framework for Go
proteus - A simple tool for generating an application's data access layer.
SQLBoiler - Generate a Go ORM tailored to your database schema.
jet - Type safe SQL builder with code generation and automatic query result data mapping
xorm - xorm是一个简单而强大的Go语言ORM库,通过它可以使数据库操作非常简便。本库是基于原版xorm的定制增强版本,为xorm提供类似ibatis的配置文件及动态SQL支持,支持AcitveRecord操作
pike - Generate CRUD gRPC backends from single YAML description.
Xorm
ccgo
gorp - Go Relational Persistence - an ORM-ish library for Go