GJSON
logrus
GJSON | logrus | |
---|---|---|
34 | 32 | |
13,636 | 24,078 | |
- | - | |
5.1 | 3.0 | |
11 days ago | about 1 month ago | |
Go | Go | |
MIT License | MIT License |
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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
logrus
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Authentication system using Golang and Sveltekit - Initialization and setup
It's some sort of logging system well explained by Alex Edwards in Let’s Go Further. As stated, we could have used logrus or any other popular logging system in Go.
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Renaming public Go modules
Option 2, please. You may not have been around for the logrus debacle, but it was a giant pain.
- What is the common log library which is industry standard that is used in server applications?
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Observing AWS Lambda with Golang and Datadog
For the example I’m using the very popular logrus library and then I’m setting the log formatter to be JSON
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Best Logging Library for Golang
For choosing the candidates for the poll, I didn't do any thorough research. I was looking for a library to use in my project at work, and I ended up at sirupsen/logrus which was already being used by one of the dependencies in that project.
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Follow up to previous post: I contributed to an open source project outside working hours despite being asked not to. I was fired. No legal action.
I contribute to OSS as part of my job on the regular. The company is good about contributing upstream, signing CLAs, and all that. We still work against private forks for two main reasons: 1. Some changes that we need are not accepted by maintainers based on philosophical or architectural reasons that we can’t otherwise work around. You’re beholden to then unless you publicly fork the repo which has other legal/PR overhead for the company and OSS political implications. 2. Maintainers in the past have taken down repos, renamed repos, or changed the licensing on repos that have left us in a lurch. We always build against our own private forks because we need predictability and can’t be beholden to some other party for business continuity. We sync them down from the public upstream at our leisure.
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Sourcehut will blacklist the Go module mirror
If they change the case on their username on the other hand, the Go ecosystem explodes: https://github.com/sirupsen/logrus/issues/570#issuecomment-3...
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Lies we tell ourselves to keep using Golang
Like, for example, some projects importing logrus with a capital L and some with a lowercase L, and go modules having no way to reconcile the two: https://github.com/sirupsen/logrus/issues/553
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go-coffeeshop - A practical coffee shop application event-driven microservices built with Golang
Ugh. Wish people would stop using logrus. It’s in maintenance mode and slow, especially its stack tracing.
- Criando uma API Rest com Fiber - Uma história pessoal de aprendizado
What are some alternatives?
jsoniter - A high-performance 100% compatible drop-in replacement of "encoding/json"
zap - Blazing fast, structured, leveled logging in Go.
go-json - Fast JSON encoder/decoder compatible with encoding/json for Go
zerolog - Zero Allocation JSON Logger
intrinsic
glog - Leveled execution logs for Go
gojson - Automatically generate Go (golang) struct definitions from example JSON
lumberjack - lumberjack is a log rolling package for Go
hub - A command-line tool that makes git easier to use with GitHub.
slog
ngrok - Unified ingress for developers
log15 - Structured, composable logging for Go