Fastest JSON parser in the world is a D project

[Marco Leise via Digitalmars-d-announce]

fast.json usage:

UTF-8 and JSON validation of used portions by default:

    auto json = parseJSONFile("data.json");

Known good file input:

    auto json = parseTrustedJSONFile("data.json");
    auto json = parseTrustedJSON(`{"x":123}`);

Work with a single key from an object:

    json.singleKey!"someKey"
    json.someKey

Iteration:

    foreach (key; json.byKey)  // object by key
    foreach (idx; json)        // array by index

Remap member names:

    @JsonRemap(["clazz", "class"])
    struct S { string clazz; }

    @JsonRemap(["clazz", "class"])
    enum E { clazz; }

Example:

    double x = 0, y = 0, z = 0;
    auto json = parseTrustedJSON(`{ "coordinates": [ { "x": 1, "y": 2, "z": 3 }, … ] }`);

    foreach (idx; json.coordinates)
    {
        // Provide one function for each key you are interested in
        json.keySwitch!("x", "y", "z")(
                { x += json.read!double; },
                { y += json.read!double; },
                { z += json.read!double; }
            );
    }

Features:
  - Loads double values in compliance with IEEE round-to-nearest
    (no precision loss in serialization->deserialization round trips)
  - UTF-8 validation of non-string input (file, ubyte[])
  - Currently fastest JSON parser money can buy
  - Reads strings, enums, integral types, double, bool, POD
    structs consisting of those and pointers to such structs

Shortcomings:
  - Rejects numbers with exponents of huge magnitude (>=10^28)
  - Only works on Posix x86/amd64 systems
  - No write capabilities
  - Data size limited by available contiguous virtual memory

-- 
Marco