c# 解析JSON的几种办法

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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

使用DataContractJsonSerializer

帮助类：

    // using System.Runtime.Serialization.Json;
    
    /// 

    /// 解析JSON，仿Javascript风格
    /// 
    public static class JSON
    {

        public static T parse(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() { p1, p2 }));   //true
    log(jsonString);
    // 反序列化，泛型集合
    JSON.parse>(jsonString);
    // 数组转换            
    JSON.parse(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() { p1, p2 });
    var persons = jser.Deserialize>(json);

使用Silverlight

    // using System.Json
    
    var css = "{ \"#header\" : {background:\"red\"}, layout : [5,4,1],color:\"cyan\" }";
    
    var style = JsonObject.Parse(css) as JsonObject;    
    
    (
    from s in style
    where 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>(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
    }
  }
]

c# 解析JSON的几种办法

标签：data   remove   使用   select   反序列化   fun   jar   准备   对比   

原文地址：https://www.cnblogs.com/chxl800/p/10387220.html