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GJSON
logo | GJSON | |
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24 | 34 | |
5 | 13,636 | |
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0.0 | 5.1 | |
almost 3 years ago | 11 days ago | |
Go | ||
Creative Commons Attribution 4.0 | MIT License |
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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!
GJSON
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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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Jj: JSON Stream Editor
```
I don't think there is a way to sort an array, though. However, there is an option to have keys sorted. Personally, I don't think there is much annoyance in that. One could just pipe `jj` output to `sort | uniq -c`.
[0]: https://github.com/tidwall/gjson/blob/master/SYNTAX.md
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Library to analyze an arbitrary JSON string
I’m using GJSON, so far so good!
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Mapping json fields in api calls to a struct to store them in a database or cache
If the fields you need are just a small subset of the whole json, maybe https://github.com/tidwall/gjson might be of use to read only those (using jsonpath) without needing to create complete corresponding structs.
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Which CPU to buy based on profiling
Thank you for the reminder, it's never too much of it :) Didn't say it, but the code was pprof-iled many times and i can really say it's well optimized. I use own libraries with on-the-fly equations (sums, avgs, emas, stds, ...) wherever possible and also made custom json parser as json messages are in fixed format, so the parser is about 10x faster than gjson. I optimized it to the point that I avoided using maps, and rather iterate via slice where ever possible.
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Jetro - transform and query JSON format
You are right, for learning purposes this fit my needs, but I can imagine an approach similar to this repo: https://github.com/tidwall/gjson
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Any way to convert unknown/dynamic json to generic object structure
https://github.com/tidwall/gjson is a relatively sensible library if this is something you need to deal with and the structure is actually unknowable.
- Need help with getting the grandchild in nested JSON
- Double down on python or learn Go
- Ad hoc JSON parsing
What are some alternatives?
recipe-gin-postgres-api - Example of a go HTTP api using gin in zerops.io
jsoniter - A high-performance 100% compatible drop-in replacement of "encoding/json"
viper - Go configuration with fangs
go-json - Fast JSON encoder/decoder compatible with encoding/json for Go
todo-api-microservice-example - Go microservice tutorial project using Domain Driven Design and Onion Architecture!
intrinsic
yaml - YAML support for the Go language.
gojson - Automatically generate Go (golang) struct definitions from example JSON
Express - Fast, unopinionated, minimalist web framework for node.
hub - A command-line tool that makes git easier to use with GitHub.
Squirrel - Fluent SQL generation for golang
ngrok - Unified ingress for developers