fasthttp
GORM
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fasthttp | GORM | |
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36 | 74 | |
21,049 | 35,416 | |
- | 1.5% | |
8.6 | 8.4 | |
3 days ago | 6 days ago | |
Go | Go | |
MIT License | 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.
fasthttp
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Rob Pike: Gobs of data (2011)
Someone made a benchmark of serialization libraries in go [1], and I was surprised to see gobs is one of the slowest ones, specially for decoding. I suspect part of the reason is that the API doesn't not allow reusing decoders [2]. From my explorations it seems like both JSON [3], message-pack [4] and CBOR [5] are better alternatives.
By the way, in Go there are a like a million JSON encoders because a lot of things in the std library are not really coded for maximum performance but more for easy of usage, it seems. Perhaps this is the right balance for certain things (ex: the http library, see [6]).
There are also a bunch of libraries that allow you to modify a JSON file "in place", without having to fully deserialize into structs (ex: GJSON/SJSON [7] [8]). This sounds very convenient and more efficient that fully de/serializing if we just need to change the data a little.
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1: https://github.com/alecthomas/go_serialization_benchmarks
2: https://github.com/golang/go/issues/29766#issuecomment-45492...
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3: https://github.com/goccy/go-json
4: https://github.com/vmihailenco/msgpack
5: https://github.com/fxamacker/cbor
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6: https://github.com/valyala/fasthttp#faq
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7: https://github.com/tidwall/gjson
8: https://github.com/tidwall/sjson
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FastHttp for Python (64k requests/s)
Fasthttp is one of the most powerful webservers written in Go, I'm working on a project that makes it possible to use it as a webserver for Python.
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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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fasthttp VS Don - a user suggested alternative
2 projects | 15 Mar 2023
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Beginner ~ Intermediate Go programmer, how can I get better in go and get out of the "beginner" phase?
The best example I can give you is https://github.com/nutsdb/nutsdb it’s great project that got me started, one thing one should know is Go is different “yep” so there’re some coding habits that may bite you in Go and the Go compiler won’t correct you, you wanna learn about optimizations, unsafe usage check out https://github.com/valyala/fasthttp (note this is deep the rabbit hole), wanna learn concurrency check out ants https://github.com/panjf2000/ants with a little aid from “Go by example” you’re good to go
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Log: A minimal, colorful Go logging library 🪵
As I said in another comment, I think net/http is a good cautionary tale here. It was designed to be easy to use, and then grew organically, but performance never seems to have been a goal. fasthttp solves this, but bifurcates the ecosystem and passes on those costs to everyone who uses it. If net/http had been designed with performance in mind, this could have been avoided. net/http can't be removed or optimized, so this is a situation the Go ecosystem is effectively stuck with forever. At best, a faster version may end up in the std lib, just like netip is more modern and faster than net but the ecosystem is still bifurcated and adoption of the new package has been slow.
- Anyone looking for developer to co-work on non-trivial opensource?
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my office want to migrate to go programming language, what framework is recommended between chi or fiber?
Fiber, while has a lot of batteries included and decent for many use cases, is known for having corner cases (because of internals like fasthttp) like https://github.com/valyala/fasthttp/issues/622
- Ask HN: Slimvoice Alternative?
- Mongogram - Social media backend api using golang and mongodb
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?
Gin - Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
ent - An entity framework for Go
Fiber - ⚡️ Express inspired web framework written in Go
Xorm
gnet - 🚀 gnet is a high-performance, lightweight, non-blocking, event-driven networking framework written in pure Go./ gnet 是一个高性能、轻量级、非阻塞的事件驱动 Go 网络框架。
SQLBoiler - Generate a Go ORM tailored to your database schema.
quic-go - A QUIC implementation in pure Go
go-pg - Golang ORM with focus on PostgreSQL features and performance
mux - A powerful HTTP router and URL matcher for building Go web servers with 🦍
pgx - PostgreSQL driver and toolkit for Go
httprouter - A high performance HTTP request router that scales well
beego orm