concise-encoding VS FrameworkBenchmarks

"Local time" is time zone metadata. I've written a fair bit about timekeeping, because the context of what you're capturing becomes very important: https://github.com/kstenerud/concise-encoding/blob/master/ce...

This is basically why I ended up rolling my own text date format for Concise Encoding: https://github.com/kstenerud/concise-encoding/blob/master/ct...

ISO 8601 and RFC 3339 are fine for dates in the past, but they're not great as a general time format.

This looks similar to https://concise-encoding.org/

Dogma was developed as a consequence of trying to describe Concise Binary Encoding. The CBE spec used to look like the preserves binary spec, full of hex values, tables and various ad-hoc illustrations: https://preserves.dev/preserves-binary.html

Now the CBE formal description looks like this: https://github.com/kstenerud/concise-encoding/blob/master/cb...

And the regular documentation looks like this: https://github.com/kstenerud/concise-encoding/blob/master/cb...

Dogma also does text formats (Concise Encoding has a text and binary format, so I needed a metalanguage that could do both in order to make it less jarring for a reader):

https://github.com/kstenerud/concise-encoding/blob/master/ct...

https://github.com/kstenerud/concise-encoding/blob/master/ct...

Hey thanks for taking the time to critique!

I actually do have an ANTLR file that is about 90% of the way there ( https://github.com/kstenerud/concise-encoding/tree/master/an... ), so I could use those as a basis...

One thing I'm not sure about is how to define a BNF rule that says for example: "An identifier is a series of characters from unicode categories Cf, L, M, N, and these specific symbol characters". BNF feels very ASCII-centric...

It's still in the prerelease stage, but v1 will be released later this year. I'm mostly getting hits from China since they tend to be a lot more worried about security. I expect the rest of the world to catch on to the gaping security holes of JSON and friends in the next few years as the more sophisticated actors start taking advantage of them. For example https://github.com/kstenerud/concise-encoding/blob/master/ce...

There are still a few things to do:

- Update enctool (https://github.com/kstenerud/enctool) to integrate https://cuelang.org so that there's at least a command line schema validator for CE.

- Update the grammar file (https://github.com/kstenerud/concise-encoding/tree/master/an...) because it's a bit out of date.

- Revamp the compliance tests to be themselves written in Concise Encoding (for example https://github.com/kstenerud/go-concise-encoding/blob/master... but I'll be simplifying the format some more). That way, we can run the same tests on all CE implementations instead of everyone coming up with their own. I'll move the test definitions to their own repo when they're done and then you can just submodule it.

I'm thinking that they should look more like:

    c1

Ugh Unicode has been the bane of my existence trying to write a text format spec. I started by trying to forbid certain characters to keep files editable and avoid Unicode rendering exploits (like hiding text, or making structured text behave differently than it looks), but in the end it became so much like herding cats that I had to just settle on https://github.com/kstenerud/concise-encoding/blob/master/ct...

Basically allow everything except some separators, most control chars, and some lookalike characters (which have to be updated as more characters are added to Unicode). It's not as clean as I'd like, but it's at least manageable this way.

You might get a kick out of Concise Encoding then (shameless plug). It focuses on security and consistency of behavior.

https://concise-encoding.org/

In particular:

* How to deal with unrepresentable values: https://github.com/kstenerud/concise-encoding/blob/master/ce...

* Mandatory limits and security considerations: https://github.com/kstenerud/concise-encoding/blob/master/ce...

* Consistent error classification and processing: https://github.com/kstenerud/concise-encoding/blob/master/ce...

In the above example, `&a:` means mark the next object and give it symbolic identifier "a". `$a` means look up the reference to symbolic identifier "a". So this is a map whose "recusive link" key is a pointer to the map itself. How this data is represented internally by the receiver of such a document (a table, a struct, etc) is up to the implementation.

> - Time zones: ASN.1 supports ISO 8601 time types, including specification of local or UTC time.

Yes, this is the major failing of ISO 8601: They don't have true time zones. It only uses UTC offsets, which are a bad idea for so many reasons. https://github.com/kstenerud/concise-encoding/blob/master/ce...

> - Bin + txt: Again, I'm unclear on what you mean here, but ASN.1 has both binary and text-based encodings

Ah cool, didn't know about those.

> - Versioned: Also a little unclear to me

The intent is to specify the exact document formatting that the decoder can expect. For example we could in theory decide make CBE version 2 a bit-oriented format instead of byte-oriented in order to save space at the cost of processing time. It would be completely unreadable to a CBE 1 decoder, but since the document starts with 0x83 0x02 instead of 0x83 0x01, a CBE 1 decoder would say "I can't decode this" and a CBE 2 decoder would say "I can decode this".

With documents versioned to the spec, we can change even the fundamental structure of the format to deal with ANYTHING that might come up in future. Maybe a new security flaw in CBE 1 is discovered. Maybe a new data type becomes so popular that it would be crazy not to include it, etc. This avoids polluting the simpler encodings with deprecated types and bloating the format.

Neat. Thanks for sharing!

Interestingly, may-minihttp is faring very well in the TechEmpower benchmark [1], for whatever those benchmarks are worth. The code is also surprisingly straightforward [2].

[1] https://www.techempower.com/benchmarks/

[2] https://github.com/TechEmpower/FrameworkBenchmarks/blob/mast...

ntex was formed after a schism in actix-web and Rust safety/unsafety, with ntex allowing more unsafe code for better performance.

ntex is at the top of the TechEmpower benchmarks, although those benchmarks are not apples-to-apples since each uses its own tricks: https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s...

Ruby is slow. Very slow. How much you may ask? https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s... fastest Ruby entry is at 272th place. Sure, top entries tend to have questionable benchmark-golfing implementations, but it gives you a good primer on the overhead imposed by Ruby.

It is also not early 00s anymore, when you pick an interpreted language, you are not getting "better productivity and tooling". In fact, most interpreted languages lag behind other major languages significantly in the form of JS/TS, Python and Ruby suffering from different woes when it comes to package management and publishing. I would say only TS/JS manages to stand apart with being tolerable, and Python sometimes too by a virtue of its popularity and the amount of information out there whenever you need to troubleshoot.

If you liked Go but felt it being a too verbose to your liking, give .NET a try. I am advocating for it here on HN mostly for fun but it is, in fact, highly underappreciated, considered unsexy and boring while it's anything but after a complete change of trajectory in the last 3-5 years. It is actually the* stack people secretly want but simply don't know about because it is bundled together with Java in the public perception.

*productive CLI tooling, high performance, works well in a really wide range of workloads from low to high level, by far the best ORM across all languages and back-end framework that is easier to work with than Node.JS while consuming 0.1x resources

Although that seems to have improved in recent years.

https://www.techempower.com/benchmarks/#hw=ph&test=json§...

RoR and whatever C++ based web backend there is count as a valid comparison in my book. But comparing the languages itself is maybe a bit off.

On a side note, you can actually compare their performance here if you’re really curious. But take it with a grain of salt since these are synthetic benchmarks.

https://www.techempower.com/benchmarks

Most benchmarks you'll find essentially have someone's thumb on the scale (intentionally or unintentionally). Most people won't know the different languages well enough to create comparable implementations and if you let different people create the implementations, cheating happens. The TechEmpower benchmarks aren't bad, but many implementations put their thumb on the scale (https://www.techempower.com/benchmarks). For example, a lot of the Go implementations avoid the GC by pre-allocating/reusing structs or allocate arrays knowing how big they need to be in advance (despite that being against the rules). At some point, it becomes "how many features have you turned off." Some Go http routers (like fasthttp and those built off it like Atreugo and Fiber) aren't actually correct and a lot of people in the Go community discourage their use, but they certainly top the benchmarks. Gin and Echo are usually the ones that are well-respected in the Go community.

There is certainly a lot of speculation in Techempower benchmarks and top entries can utilize questionable techniques like simply writing a byte array literal to output stream instead of constructing a response, or (in the past) DB query coalescing to work around inherent limitations of the DB in case of Fortunes or DB quries.

And yet, the fastest Ruby entry is at 274th place while Rails is at 427th.

https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s...

oh what machine? with how many workers? doing what?

search for "node" on this page: https://www.techempower.com/benchmarks/#section=data-r21

JustJS would like a word https://www.techempower.com/benchmarks/#section=data-r20&tes...

In terms of RPS, this web service is more-or-less the fortunes benchmark in the techempower benchmarks, once the data hits the cache: https://www.techempower.com/benchmarks/#section=data-r21

Or, at least, they would be after applying optimizations to them.

In short, both of these would serve more rps than you will likely ever need on even the lowest end virtual machines. The underlying API provider will probably cut you off from querying them before you run out of RPS.