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Posted on 2/21/2012 Today I am proud to present to you the new Json Toolkit v3.0. This version brings
significant performance improvement by using a completely redesigned parsing
algorithm. The algorithm is much faster and has a speed up of more
than 900% (i.e. 10 times faster) than the previous version.
Here are some of the performance comparisons between v2.1 and v3.0 using real
JSON data. The
running time is measured by looping the parse operation from 1000 to 100000 times
(depending on length and complexity of the data).
|
Sample Data |
v2.1 |
v3.0 |
Speed up |
|
Sample JSON from wiki |
11684 ms |
1654 ms |
606% |
|
Serialized
Java servlet |
84115 ms |
10125 ms |
731% |
|
Bing Api object |
29296 ms |
3260 ms |
798% |
|
Facebook Graph object |
8030 ms |
793 ms |
913% |
The new algorithm removes unnecessary function calls and also take into
consideration the fact that most data in real world scenarios are either string
or integer data. Data from Facebook Graph Api are often wrapped in many layers
of JSON objects and arrays, which explains why it has the highest speed up among
all test data.
Json Toolkit v3.0 is available for download at CodePlex:
http://jsontoolkit.codeplex.com/
. The library is fully compatible with the old version as no functionality has
changed; simply replace the dll file and recompile the application. The new
library is also tested against 50 different test cases with 100% pass.
Posted on 1/27/2012 The Json Toolkit has been updated to version 2.1 to fix a bug about deserializing data containing null values as reported by developers. The new library and the
source code can be downloaded at CodePlex: http://jsontoolkit.codeplex.com/ . Since Facebook Graph Toolkit does not use the
deserialize feature at the moment, this fix does not affect applications that use FGT.
Posted on 1/23/2012 Many web services today return data in JSON format instead of XML format because of the reduced overhead. APIs of Facebook and Bing are two examples. The new
JSON Toolkit 2.0 supports an easy to use model for deserializing JSON data to C# classes, and can be used directly to convert JSON data to strongly typed data
types. Consider the following JSON:
{
"Height":1080,
"Width":1920,
"Name":"HD Frame"
}
Together with a C# class that corresponds to this data:
class ImageInfo{
[JsonElement]
public int Height { get; set; }
[JsonElement]
public int Width { get; set; }
[JsonElement]
public string Name { get; set; }
public ImageInfo() { }
}
We can easily convert the JSON object to an ImageInfo object with two lines of code:
JsonObject JO = new JsonObject("{\"Height\":1080,\"Width\":1920,\"Name\":\"HD
Frame\"}");
ImageInfo II = JO.Deserialize<ImageInfo>(true);
The class that is deserialized to must have a public parameterless constructor.
Note the [JsonElement] attribute. The name of the property in the class must match that in the JSON data. The names are case sensitive. The boolean parameter
specifies whether only those properties marked with a [JsonElement] attribute should be processed. For example, if the [JsonElement] attribute of the Name
property does not exist, and the deserialize code is written this way:
ImageInfo II =JO.Deserialize<ImageInfo>(true);
Then the Name property will not be set, even though there is a matching set of values in the original JSON data.
However, if the parameter is passed as false, then the value of all properties with a matching name in the JSON data will be specified, and the
[JsonElement] attribute is ignored.
Naming JSON elements
If you do not wish to use the same name for the properties in the class as those in the JSON data, you can specify the Name of [JsonElement] attribute.
class ImageInfoSpecial{
[JsonElement(Name="Height")]
public int H { get; set; }
[JsonElement(Name="Width")]
public int W { get; set; }
[JsonElement]
public string Name { get; set; }
public ImageInfoSpecial() { }
}
In this ImageInfoSpecial class we renamed the "Height" property to "H" property, and the "Width" property to the "W" property. After deserializing, the value of
the "H" property will be 1080, and the value of the "W" property will be 1920.
Deserializing JSON array
JSON Array are always deserialized to an List<T> object. The type T is specified as a generic argument to the JsonArray's Deserialize method. Below are
some examples.
JsonArray JA = new JsonArray("[1,20,3000]");
List<int> Items = JA.Deserialize<int>();
JsonArray JA = new JsonArray("[\"String\",\"Value\",\"Key\"]");
List<string> Items = JA.Deserialize<string>();
JsonArray JA = new JsonArray("[[7,8,9],[4,5,6],[1,2,3],[0],[]]");
List<List<int>> Items = JA.Deserialize<List<int>>();
Note that in the third example we have a nested JSON array. Nested arrays, or JSON objects nested inside JSON arrays also work. The JSON library will recursively
deserialize the items inside the array until the value is not encapsulated in a JSON array or JSON object anymore.
Mixing JSON arrays with JSON object
Besides having a JSON object inside a JSON array, it is also possible to have a JSON array as one of the values inside a JSON object.
{
"Height":1080,
"Width":1920,
"Name":"HD Frame",
"Ratings":[
1,
2,
3,
4,
5
]
}
class ImageInfoComplete{
[JsonElement]
public int Height { get; set; }
[JsonElement]
public int Width { get; set; }
[JsonElement]
public string Name { get; set; }
[JsonElement]
public List<int> Ratings { get; set;
}
public ImageInfoComplete() { }
}
The deserializing steps are the same as before.
JsonObject JO = new JsonObject("{\"Height\":1080,\"Width\":1920,\"Name\":\"HD
Frame\",\"Ratings\":[1,2,3,4,5]}");
ImageInfoComplete II = JO.Deserialize<ImageInfoComplete>(true);