upper.io/db
pggen
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upper.io/db | pggen | |
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6 | 11 | |
3,479 | 268 | |
0.9% | - | |
5.1 | 6.6 | |
about 1 month ago | 3 months ago | |
Go | Go | |
MIT License | MIT License |
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upper.io/db
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[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.
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Looking for some ORM/db access layer suggestions
You might want to give https://upper.io/ a try
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Migrating from PHP to Go
upper.io is a viable alternative to GORM. Just a suggestion.
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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/
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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
pggen
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Ask HN: ORM or Native SQL?
Cornucopia is neat. I wrote a similar library in Go [1] so I'm very interested in comparing design decisions.
The pros of the generated code per query approach:
- App code is coupled to query outputs and inputs (an API of sorts), not database tables. Therefore, you can refactor your DB without changing app code.
- Real SQL with the full breadth of DB features.
- Real type-checking with what the DB supports.
The cons:
- Type mapping is surprisingly hard to get right, especially with composite types and arrays and custom type converters. For example, a query might return multiple jsonb columns but the app code wants to parse them into different structs.
- Dynamic queries don't work with prepared statements. Prepared statements only support values, not identifiers or scalar SQL sub-queries, so the codegen layer needs a mechanism to template SQL. I haven't built this out yet but would like to.
[1]: https://github.com/jschaf/pggen
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What are the things with Go that have made you wish you were back in Spring/.NET/Django etc?
pggen is another fantastic library in this genre, which specifically targets postgres. It is driven by pgx. Can not recommend enough.
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Exiting the Vietnam of Programming: Our Journey in Dropping the ORM (In Golang)
> Do you write out 120 "INSERT" statements, 120 "UPDATE" statements, 120 "DELETE" statements as raw strings
Yes. For example: https://github.com/jschaf/pggen/blob/main/example/erp/order/....
> that is also using an ORM
ORM as a term covers a wide swathe of usage. In the smallest definition, an ORM converts DB tuples to Go structs. In common usage, most folks use ORM to mean a generic query builder plus the type conversion from tuples to structs. For other usages, I prefer the Patterns of Enterprise Application Architecture terms [1] like data-mapper, active record, and table-data gateway.
[1]: https://martinfowler.com/eaaCatalog/
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Back to basics: Writing an application using Go and PostgreSQL
You might like pggen (I’m the author) which only supports Postgres and pgx. https://github.com/jschaf/pggen
pggen occupies the same design space as sqlc but the implementations are quite different. Sqlc figures out the query types using type inference in Go which is nice because you don’t need Postgres at build time. Pggen asks Postgres what the query types are which is nice because it works with any extensions and arbitrarily complex queries.
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How We Went All In on sqlc/pgx for Postgres + Go
Any reason to use sqlc over pggen ? If you use Postgres, it seems like the superior option.
- We Went All in on Sqlc/Pgx for Postgres and Go
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What are your favorite packages to use?
Agree with your choices, except go-json which I never tried. pggen is fantastic. Love that library. The underlying driver, pgx, is also really well written.
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I don't want to learn your garbage query language
You might like the approach I took with pggen[1] which was inspired by sqlc[2]. You write a SQL query in regular SQL and the tool generates a type-safe Go querier struct with a method for each query.
The primary benefit of pggen and sqlc is that you don't need a different query model; it's just SQL and the tools automate the mapping between database rows and Go structs.
[1]: https://github.com/jschaf/pggen
[2]: https://github.com/kyleconroy/sqlc
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What is the best way to use PostgreSQL with Go?
I created pggen a few weeks ago to create my preferred method of database interaction: I write real SQL queries and I use generated, type-safe Go interfaces to the queries. https://github.com/jschaf/pggen
What are some alternatives?
GORM - The fantastic ORM library for Golang, aims to be developer friendly
sqlc - Generate type-safe code from SQL
ent - An entity framework for Go
SQLBoiler - Generate a Go ORM tailored to your database schema.
sqlpp11 - A type safe SQL template library for C++
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
SqlKata Query Builder - SQL query builder, written in c#, helps you build complex queries easily, supports SqlServer, MySql, PostgreSql, Oracle, Sqlite and Firebird
Xorm
pggen - A database first code generator focused on postgres
gorp - Go Relational Persistence - an ORM-ish library for Go
honeysql - Turn Clojure data structures into SQL