hipjson 1.0.0

HipJSON

A high performance implementation of JSON parser with std.json syntax. Used by Redub and Hipreme Engine.

Usage

///Parsing
void main()
{

    import hip.data.json;
    enum jsonSource = q{
    {
        "unicode": "こんいちは",
        "こんにちは": "using unicode key",
        "hello": "oii",
        "test": "teste",
        "com,ma": "val,ue",
        "integer": -5345,
        "floating": -54.23,
        "array": [1,2],
        "strArr":  ["hello", "friend"],
        "mixedArr":  ["hello", 523, -53.23],
        "arrInArr": ["hello", [1, -2, -52.23], "again"],
        "emptyObj": {

        },
        "simpleObj": {
            "path": "sound.wav",
            "data": [1, 2, 3, 4, 5, 6]
        },
        "testObj": {
            "simpleObj": {
                "path": "sound.wav",
                "data": [1, 2, 3, 4, 5, 6]
            },
            "anotherObj": {
                "key": "balanced"
            }
        }
    }};

    JSONValue v = parseJSON(jsonSource);
}

///Mutating and creating the DOM

void main()
{
    JSONValue m = JSONValue.emptyObject;
    m["someKey] = JSONValue(500);
    m["here"] = 500;
    import std.stdio;
    writeln = m.toString;
}

Testing

With dub -c test -b release-debug --compiler=ldc2:

STD JSON: 336 ms, 836 μs, and 6 hnsecs (50000 Tests)
JSONPIPE: 206 ms and 571 μs (50000 Tests)
MIR JSON: 266 ms, 770 μs, and 7 hnsecs (50000 Tests)
HipJSON: 86 ms, 881 μs, and 8 hnsecs (50000 Tests)

HipJSON is currently optimized with d-segmented-hashmap, which makes it get a much faster parsing speed as it never rehashes its dictionaries. It also has a string buffer performance optimization which makes it even faster when you're dealing with mostly strings.

Using the Javascript large object generation

Call node genLargeObject.js first to generate testJson.json

• JS performance of the parseJSON: Parsed: 50.00 MB in 0.7036 s Speed: 71.06 MB/s
• HipJSON parsing that same file Call with dub test -b release-debug --compiler=ldc2

Took: 606ms MB per Second: 86.5162 Allocated: 739.969 MB Free: 68.7608 MB Used: 739.962 MB Collection Count: 7 Collection Time: 273 ms, 757 μs, and 5 hnsecs