Fastest JSON parser in the world is a D project

[Sönke Ludwig via Digitalmars-d-announce]

Am 14.10.2015 um 09:01 schrieb Marco Leise:
> JSON parsing in D has come a long way, especially when you
> look at it from the efficiency angle as a popular benchmark
> does that has been forked by well known D contributers like
> Martin Nowak or Sönke Ludwig.
>
> The test is pretty simple: Parse a JSON object, containing an
> array of 1_000_000 3D coordinates in the range [0..1) and
> average them.
>
> The performance of std.json in parsing those was horrible
> still in the DMD 2.066 days*:
>
> DMD     : 41.44s,  934.9Mb
> Gdc     : 29.64s,  929.7Mb
> Python  : 12.30s, 1410.2Mb
> Ruby    : 13.80s, 2101.2Mb
>
> Then with 2.067 std.json got a major 3x speed improvement and
> rivaled the popular dynamic languages Ruby and Python:
>
> DMD     : 13.02s, 1324.2Mb
>
> In the mean time several other D JSON libraries appeared with
> varying focus on performance or API:
>
> Medea         : 56.75s, 1753.6Mb  (GDC)
> libdjson      : 24.47s, 1060.7Mb  (GDC)
> stdx.data.json:  2.76s,  207.1Mb  (LDC)
>
> Yep, that's right. stdx.data.json's pull parser finally beats
> the dynamic languages with native efficiency. (I used the
> default options here that provide you with an Exception and
> line number on errors.)
>

 From when are the numbers for stdx.data.json? The latest results for 
the pull parser that I know of were faster than RapidJson:
http://forum.dlang.org/post/wlczkjcawyteowjbbcpo@forum.dlang.org

Judging by the relative numbers, your "fast" result is still a bit 
faster, but if that doesn't validate, it's hard to make an objective 
comparison.