jsoniter VS logrus

Since most of the time would be spent decoding json, you could try to cut this time using https://github.com/bytedance/sonic or https://github.com/json-iterator/go, both are drop-in replacements for the stdlib, sonic is faster.

We all know the builtin golang JSON parser is slow.

How about doing comparisons against other implementations?

Like this one: https://github.com/json-iterator/go

Json-iterator (https://github.com/json-iterator/go), you can replace all of encoding/json with this. It does the same thing but it's faster.

Do you want to look at every field all at the same time? If not, you can pick out individual fields. There's other packages such as https://github.com/tidwall/gjson or https://github.com/json-iterator/go that let you pass in paths such as "a.b.c" to extract single fields.

For each Go type used within the config, we generate a separate unmarshaller function. The unmarshallers use json-iterator to process the output from CUE, while tracking the path within the config to the unmarshalled value. This path tracking will allow the function to check if live overrides have been provided on that path and return the override instead.

https://github.com/json-iterator/go an alternative JSON encoding package which allows to stream (flush out) encoded data as soon as it's able to (which is in contrast with the stock package which buffers everything until the encoding is known to be complete and OK).

What to use Easyjson is about the top of the pack and it's straightforward. The downside of efficient tools is that they use code generation to create the code required to turn your structs into json to minimise allocations. This is a manual build step which is annoying. Interestingly json-iterator also uses reflection but it's significantly faster. I suspect black magic.

jsoniter for low level access to JSON encode and decode

Takes like 10 minutes to write and parses very efficiently. https://github.com/json-iterator/go looks like it can provide such simple parsing

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.

Option 2, please. You may not have been around for the logrus debacle, but it was a giant pain.

For the example I’m using the very popular logrus library and then I’m setting the log formatter to be JSON

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.

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.

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...

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

Ugh. Wish people would stop using logrus. It’s in maintenance mode and slow, especially its stack tracing.