pggen
Gin
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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
Gin
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How to Build and Document a Go REST API with Gin and Go-Swagger
Now let’s define the functions that will be called whenever a request hits our API. All the functions will be referencing the context provided by the Gin web framework. Paste the following code below the sample slice we just added to api.go:
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Password-less Login in Go from Scratch
We will be using Gorilla Mux. As per their last update, they have a new group of maintainers, and their repos have shown activity to confirm that. The tutorial can be easily replicated in any other framework or library as well. So, while we will be using Gorilla Mux, you can try to replicate it in Gin or Fiber as well.
- Autenticação com Golang e AWS Cognito
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Implementing JWT Authentication in a Golang Application
Now, let's dive into the fun part – creating our basic ToDo application using the powerful Gin framework. This section will walk you through the steps, breaking down the code into manageable snippets.
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Build a Serverless GenAI solution with Lambda, DynamoDB, LangChain and Amazon Bedrock
Thanks to the AWS Lambda Web Adapter, the application built as a (good old) REST/HTTP API using a familiar library (in this case, Gin.
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From Django or Flask to Sponge: How to Easily Develop High-Performance Web Services with Golang
Excellent Performance: Sponge is built on the gin framework, providing outstanding performance for web service development.
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Uploading and Serving Images from MongoDB in Golang
In this blog, we will delve into the fascinating realm of handling images in a Golang application, leveraging the power of the Gin framework for RESTful API development, MongoDB as a robust NoSQL database, and the mongo-driver library for seamless interaction with MongoDB. To store images efficiently, we'll explore the intricacies of GridFS, a specification within MongoDB for storing large files as separate chunks.
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Building RESTful API with Hexagonal Architecture in Go
It uses Gin as the HTTP framework and PostgreSQL as the database with pgx as the driver and Squirrel as the query builder. It also utilizes Redis as the caching layer with go-redis as the client.
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Different CORS settings for different paths?
I have created an application with Go in Gin-Gonic. In my frontend (Nuxt3/TypeScript) I always get a CORS error:
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Rapid Prototyping of Design-First APIs in Go
We use Gin web framework https://gin-gonic.com for the routing, Gin provides a balance between performance, ease of use and extensibility making it a preferred choice for building and running web applications in Go.
What are some alternatives?
sqlc - Generate type-safe code from SQL
Fiber - ⚡️ Express inspired web framework written in Go
SQLBoiler - Generate a Go ORM tailored to your database schema.
mux - A powerful HTTP router and URL matcher for building Go web servers with 🦍
sqlpp11 - A type safe SQL template library for C++
chi - lightweight, idiomatic and composable router for building Go HTTP services
pggen - A database first code generator focused on postgres
Echo - High performance, minimalist Go web framework
SqlKata Query Builder - SQL query builder, written in c#, helps you build complex queries easily, supports SqlServer, MySql, PostgreSql, Oracle, Sqlite and Firebird
Beego - beego is an open-source, high-performance web framework for the Go programming language.
honeysql - Turn Clojure data structures into SQL
Iris - The fastest HTTP/2 Go Web Framework. New, modern and easy to learn. Fast development with Code you control. Unbeatable cost-performance ratio :rocket: