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Squirrel
logo | Squirrel | |
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24 | 52 | |
5 | 6,522 | |
- | 0.8% | |
0.0 | 2.4 | |
almost 3 years ago | 10 days ago | |
Go | ||
Creative Commons Attribution 4.0 | GNU General Public License v3.0 or later |
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Ask HN: Good examples of Go back ends?
Most golang backends I've seen meanwhile use or switched to using the "gin" framework to build their APIs.
A lot of them also have conventions for the frontend, where the assets usually are stored in /public, so they can be go:embed later as an embed.FS instance into the binary.
Having said that, there's plenty of examples on github. I'd recommend to take a look at bigger projects or templates and understand how they structured their packages and abstraction levels. E.g. go-admin comes to mind [1]
[1] https://github.com/GoAdminGroup/go-admin
[2] https://github.com/gin-gonic/gin
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From Laravel to Sponge: How to Easily Develop Web Services with Golang
Excellent Performance: Sponge is built on the gin framework, providing outstanding performance for web service development.
- 6 🔥 Awesome Golang packages (web devs)
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Generate project code for a general web service(gin) to increase your development efficiency by 10 times
The web framework uses gin. It also includes swagger documents, common service governance function codes, and build and deployment scripts. You can choose which database to use.
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Gin - HTTP web framework written in GO.
GIN
- How to run background functions in go
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Fundamentals to Learn
When it comes to Web Development I would recommend taking a closer look at some standard library packages like net and encoding. Looking at some Web Development open-source frameworks / libraries might be helpful as well. Gin is one of them.
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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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Looking to build a small team for a start-up idea
The back-end is going to be written in Golang, using a Gin, Gorm, and a Postgres DB, so bonus points if you are familiar with Go!
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Can an API be merely a server that has post requests sent to it, rather than something that is installed?
Here's Express for Node.js, Flask for Python, Alfred for Dart, and Gin for Go; that's four different software packages for four completely different programming languages that all do very similar things. Take a look and see which one feels best, and start from there!
Squirrel
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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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Working with postgres in GO.
I would add Squirrel to PGX https://github.com/Masterminds/squirrel
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how to avoid writing dreadful SQL statements
I have written about this before, and my thoughts always settle on using a query builder. I've built a simple one, which works for what I need, but there are more feature complete ones out there such as squirrel. I've also written about how you can implement a simple CRUD library for database interactions using generics and query building to have that nice middle-ground between an ORM and query building.
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How do I enable filters for the user without writing redundant SQL?
Now for the dynamic queries you have to be really careful to prevent SQL injections, there are bunch of different ways to do it but I typically recommend using a package such as squirrel that lets you do this easily, you use it to generate the plain SQL you need (and then use sqlx, database/sql, pgx or whatever you prefer) or use it directly querying the database directly.
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Best sqlc alternative for dynamic queries?
Here are 2 options for you * https://github.com/huandu/go-sqlbuilder * https://github.com/Masterminds/squirrel
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Golang RESTAPI boilerplate repository
https://www.reddit.com/r/golang/comments/vq98ud/what_sql_library_are_you_using/ Jet havn't used but is one that looks promising! Otherwise I'm one of the purests, db/sql and https://github.com/Masterminds/squirrel
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Why is Raw SQL preferred over ORM in go?
I think he means an sql builder like squirrel. This allows dynamic queries, but more important you can reuse function that build a where clause so you can get a count and query with that.
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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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Are there any decent ORMs in Golang?
But using a query builder, something like squirrel or (plug) bqb, allows you to actually write SQL (or something close to it) when you need it but also handles the nasty string building bits. Though I agree that ORMs are not always bad, especially for small projects with well-defined scope.
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GORM
Plug for bqb as a query builder, but there's also squirrel which works pretty well too.
What are some alternatives?
recipe-gin-postgres-api - Example of a go HTTP api using gin in zerops.io
goqu - SQL builder and query library for golang
viper - Go configuration with fangs
sqlx - general purpose extensions to golang's database/sql
todo-api-microservice-example - Go microservice tutorial project using Domain Driven Design and Onion Architecture!
GORM - The fantastic ORM library for Golang, aims to be developer friendly
yaml - YAML support for the Go language.
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
Express - Fast, unopinionated, minimalist web framework for node.
sqlc - Generate type-safe code from SQL
zerolog - Zero Allocation JSON Logger
sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.