对比

准备数据

实体类：

    [DataContract]public class Person{[DataMember(Order = 0, IsRequired = true)]public string Name { get; set; }[DataMember(Order = 1)]public int Age { get; set; }[DataMember(Order = 2)]public bool Alive { get; set; }[DataMember(Order = 3)]public string[] FavoriteFilms { get; set; }[DataMember(Order = 4)]public Person Child { get; set; }}

定义：

Action<object> log = o => Console.WriteLine(o);
Func<int, int, int> add = (x, y) => x + y;var p1 = new Person {Age = 12,Alive = true,Name = "lj",FavoriteFilms = new[] { "Up", "Avatar" }
};
var p2 = new Person() { Age = 28, Name = "cy", Child = p1 };

使用DataContractJsonSerializer

帮助类：

  // using System.Runtime.Serialization.Json;/// <summary>/// 解析JSON，仿Javascript风格/// </summary>public static class JSON{public static T parse<T>(string jsonString){using (var ms = new MemoryStream(Encoding.UTF8.GetBytes(jsonString))){return (T)new DataContractJsonSerializer(typeof(T)).ReadObject(ms);}}public static string stringify(object jsonObject){using (var ms = new MemoryStream()){new DataContractJsonSerializer(jsonObject.GetType()).WriteObject(ms, jsonObject);return Encoding.UTF8.GetString(ms.ToArray());}}}

用法：

    // 序列化var jsonString = JSON.stringify(new[] { p1, p2 });log(jsonString == JSON.stringify(new List<Person>() { p1, p2 }));   //truelog(jsonString);// 反序列化，泛型集合JSON.parse<List<Person>>(jsonString);// 数组转换            JSON.parse<Person[]>(jsonString);

输出：

[{"Name":"lj","Age":12,"Alive":true,"FavoriteFilms":["Up","Avatar"],"Child":null
},{"Name":"cy","Age":28,"Alive":false,"FavoriteFilms":null,"Child":{"Name":"lj",
"Age":12,"Alive":true,"FavoriteFilms":["Up","Avatar"],"Child":null}}]

使用JavaScriptSerializer

  // using System.Web.Script.Serialization;var jser    = new JavaScriptSerializer();var json    = jser.Serialize(new List<Person>() { p1, p2 });var persons = jser.Deserialize<List<Person>>(json);

使用Silverlight

  // using System.Jsonvar css = "{ \"#header\" : {background:\"red\"}, layout : [5,4,1],color:\"cyan\" }";var style = JsonObject.Parse(css) as JsonObject;    (from s in stylewhere s.Key == "color"select (string)s.Value).First().ToString();   // "cyan"// 更多操作style["layout"][0] = 22;var hd = style["#header"];style["body>div+p"] = hd;style.Remove("#header");var bd = new JsonObject();bd["border"] = "1px solid cyan";style["body>div+p"]["#meta"] = bd;style.ToString();    // {"layout":[22,4,1],"color":"cyan","body>div+p":{"background":"red","#meta":{"border":"1px solid cyan"}}}

使用JSON.NET

  // using Newtonsoft.Json;var json = JsonConvert.SerializeObject(new[] { p1, p2 });var persons = JsonConvert.DeserializeObject<List<Person>>(json);var ja = JArray.Parse(jsonString);            log(ja);  //注意，格式化过的输出

输出：

[{"Name": "lj","Age": 12,"Alive": true,"FavoriteFilms": ["Up","Avatar"],"Child": null},{"Name": "cy","Age": 28,"Alive": false,"FavoriteFilms": null,"Child": {"Name": "lj","Age": 12,"Alive": true,"FavoriteFilms": ["Up","Avatar"],"Child": null}}
]

LINQ：

    var ageCount = ja.Select(j => (int)j["Age"]).Aggregate(add);    var q = from j in jawhere !j["Name"].Value<string>().Equals("lj")select (int)j["Age"];log(q.Aggregate(add) == ageCount);  //false

其他：

  // 与Linq to XML 相似的嵌套构造函数：var jo = new JObject(new JProperty("age", persons.Select( p => p.Age)),new JProperty("funny", true),new JProperty("array", new JArray(new[] { 2, 4, 1 })));log(jo);// JObject 操作var css = "{ \"#header\" : {background:\"red\"}, layout : [5,4,1] }";var style = JObject.Parse(css);var bd = new JObject();bd["color"] = "1px solid cyan";style["border"] = bd;var hd = style["#header"];style["body>div+p"] = hd;hd.Parent.Remove();style["layout"][0] = 22;log(style);

输出：

    {"age": [12,28],"funny": true,"array": [2,4,1]}{"layout": [22,4,1],"border": {"color": "1px solid cyan"},"body>div+p": {"background": "red"}}

几个链接：

• 独立 JSON 序列化
• 如何：对 JSON 数据进行序列化和反序列化
• Json.NET
• JSONLint
• BSON