pggen
GORM
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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
GORM
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Go ORMs Compared
GORM is a comprehensive ORM tool in Go, offering a code-first approach which allows defining database schemas using struct tags in Go. It's known for its developer-friendly nature, making it suitable for both beginners and experienced users. GORM supports a variety of SQL databases like MySQL, PostgreSQL, and SQLite. It's designed to be flexible, allowing developers to drop down to raw SQL when necessary. However, it's important to be cautious about its performance implications in large-scale applications.
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6 🔥 Awesome Golang packages (web devs)
Homepage: https://gorm.io/
- Tenha controle sobre seu SQL com Golang e SQLC
- Não use funções puras com Go
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Build an Event-Driven Uptime Monitor in Go 🚀
Since most of these APIs will be simple CRUD (Create/Read/Update/Delete) endpoints, let's build this service using GORM, an ORM library that makes building CRUD endpoints really simple.
- [OpenSource] I am building high performance Plex alternative in Go for Movies and TV Show
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Building Robust Applications in Go: Integrating Envconfig, Gorm, and OpenSearch
After successfully configuring the application, it's time to delve into integrating the data layer. For this purpose, I will utilize gorm, a powerful SQL ORM that facilitates rapid development of the data layer using model structs.
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ORM or no ORM that is the question
For basic INSERT ... VALUES ... or SELECT ... WHERE ... JOIN ..., use a library such as GORM. For INSERT .... SELECT ... statements where one combines two round trips (SELECT and INSERT) into one, ORMs have a hard time performing this query. Particularly when you start doing joins. Joins are the heart of Relational database theory (they denote relationships). So get to know what an INNER, LEFT, RIGHT and OUTER join is and why you would use them. Also learn INSERT ... SELECT ...
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Why ORMs are so hated?
I have never hated gorm and it serves me well. However I tend to feed it raw SQL very often.
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Golang RESTAPI boilerplate repository
Array of values with embedded value all pointed to the last value, reflect code was broken: https://github.com/go-gorm/gorm/pull/5901 data corruption
What are some alternatives?
sqlc - Generate type-safe code from SQL
ent - An entity framework for Go
SQLBoiler - Generate a Go ORM tailored to your database schema.
Xorm
sqlpp11 - A type safe SQL template library for C++
SqlKata Query Builder - SQL query builder, written in c#, helps you build complex queries easily, supports SqlServer, MySql, PostgreSql, Oracle, Sqlite and Firebird
go-pg - Golang ORM with focus on PostgreSQL features and performance
pggen - A database first code generator focused on postgres
pgx - PostgreSQL driver and toolkit for Go
honeysql - Turn Clojure data structures into SQL
beego orm