Json格式其实就是Key-Value，只不过这个Value还可能是一个Key-Value，如果将外面的当成一个json对象，那么这个key可能就是一个新的json对象。在C#中，较难解析的可能是后面的这个Value是一个数组，而这个数据里面又有新的数组，因为我是搞GIS的，和点，线，面这样的数据打交道，所以对此深有体会，因为一个线可以有多个path构成，而一个path可以由多个point构成，了解这些其实也就是一个高级对象的形成过程，对象就是真实世界的抽象，对象和对象之间的关系就如json格式一样，看来这些东西都是相通的呀，好了言归正传。
我自己写的将会在测试后分享，现在分享一个比较好的博客：
以下代码来自：
JSON解析类 Code highlighting produced by Actipro CodeHighlighter (freeware) http: // www.CodeHighlighter.com/ --> // using System.Collections.Generic; // using System.Text; // using System.Text.RegularExpressions; /// <summary> /// 类 名：JSONConvert /// 描 述：JSON解析类 /// 编 写：dnawo /// 站 点： http://www.mzwu.com/ /// 日 期：2010-01-06 /// 版 本：1.1.0 /// </summary> public static class JSONConvert { #region 全局变量 private static JSONObject _json = new JSONObject(); // 寄存器 private static readonly string _SEMICOLON = " @semicolon "; // 分号转义符 private static readonly string _COMMA = " @comma "; // 逗号转义符 #endregion #region 字符串转义 /// <summary> /// 字符串转义,将双引号内的:和,分别转成_SEMICOLON和_COMMA /// </summary> /// <param name="text"></param> /// <returns></returns> private static string StrEncode( string text) { MatchCollection matches = Regex.Matches(text, " \\\"[^\\\"]+\\\" "); foreach (Match match in matches) { text = text.Replace(match.Value, match.Value.Replace( " : ", _SEMICOLON).Replace( " , ", _COMMA)); } return text; } /// <summary> /// 字符串转义,将_SEMICOLON和_COMMA分别转成:和, /// </summary> /// <param name="text"></param> /// <returns></returns> private static string StrDecode( string text) { return text.Replace(_SEMICOLON, " : ").Replace(_COMMA, " , "); } #endregion #region JSON最小单元解析 /// <summary> /// 最小对象转为JSONObject /// </summary> /// <param name="text"></param> /// <returns></returns> private static JSONObject DeserializeSingletonObject( string text) { JSONObject jsonObject = new JSONObject(); MatchCollection matches = Regex.Matches(text, " (\\\"(?<key>[^\\\"]+)\\\":\\\"(?<value>[^,\\\"]+)\\\")|(\\\"(?<key>[^\\\"]+)\\\":(?<value>[^,\\\"\\}]+)) "); foreach (Match match in matches) { string value = match.Groups[ " value "].Value; jsonObject.Add(match.Groups[ " key "].Value, _json.ContainsKey(value) ? _json[value] : StrDecode(value)); } return jsonObject; } /// <summary> /// 最小数组转为JSONArray /// </summary> /// <param name="text"></param> /// <returns></returns> private static JSONArray DeserializeSingletonArray( string text) { JSONArray jsonArray = new JSONArray(); MatchCollection matches = Regex.Matches(text, " (\\\"(?<value>[^,\\\"]+)\")|(?<value>[^,\\[\\]]+) "); foreach (Match match in matches) { string value = match.Groups[ " value "].Value; jsonArray.Add(_json.ContainsKey(value) ? _json[value] : StrDecode(value)); } return jsonArray; } /// <summary> /// 反序列化 /// </summary> /// <param name="text"></param> /// <returns></returns> private static string Deserialize( string text) { text = StrEncode(text); // 转义;和, int count = 0; string key = string.Empty; string pattern = " (\\{[^\\[\\]\\{\\}]+\\})|(\\[[^\\[\\]\\{\\}]+\\]) "; while (Regex.IsMatch(text, pattern)) { MatchCollection matches = Regex.Matches(text, pattern); foreach (Match match in matches) { key = " ___key " + count + " ___ "; if (match.Value.Substring( 0, 1) == " { ") _json.Add(key, DeserializeSingletonObject(match.Value)); else _json.Add(key, DeserializeSingletonArray(match.Value)); text = text.Replace(match.Value, key); count++; } } return text; } #endregion #region 公共接口 /// <summary> /// 序列化JSONObject对象 /// </summary> /// <param name="text"></param> /// <returns></returns> public static JSONObject DeserializeObject( string text) { return _json[Deserialize(text)] as JSONObject; } /// <summary> /// 序列化JSONArray对象 /// </summary> /// <param name="text"></param> /// <returns></returns> public static JSONArray DeserializeArray( string text) { return _json[Deserialize(text)] as JSONArray; } /// <summary> /// 反序列化JSONObject对象 /// </summary> /// <param name="jsonObject"></param> /// <returns></returns> public static string SerializeObject(JSONObject jsonObject) { StringBuilder sb = new StringBuilder(); sb.Append( " { "); foreach (KeyValuePair< string, object> kvp in jsonObject) { if (kvp.Value is JSONObject) { sb.Append( string.Format( " \"{0}\":{1}, ", kvp.Key, SerializeObject((JSONObject)kvp.Value))); } else if (kvp.Value is JSONArray) { sb.Append( string.Format( " \"{0}\":{1}, ", kvp.Key, SerializeArray((JSONArray)kvp.Value))); } else if (kvp.Value is String) { sb.Append( string.Format( " \"{0}\":\"{1}\", ", kvp.Key, kvp.Value)); } else { sb.Append( string.Format( " \"{0}\":\"{1}\", ", kvp.Key, "")); } } if (sb.Length > 1) sb.Remove(sb.Length - 1, 1); sb.Append( " } "); return sb.ToString(); } /// <summary> /// 反序列化JSONArray对象 /// </summary> /// <param name="jsonArray"></param> /// <returns></returns> public static string SerializeArray(JSONArray jsonArray) { StringBuilder sb = new StringBuilder(); sb.Append( " [ "); for ( int i = 0; i < jsonArray.Count; i++) { if (jsonArray[i] is JSONObject) { sb.Append( string.Format( " {0}, ", SerializeObject((JSONObject)jsonArray[i]))); } else if (jsonArray[i] is JSONArray) { sb.Append( string.Format( " {0}, ", SerializeArray((JSONArray)jsonArray[i]))); } else if (jsonArray[i] is String) { sb.Append( string.Format( " \"{0}\", ", jsonArray[i])); } else { sb.Append( string.Format( " \"{0}\", ", "")); } } if (sb.Length > 1) sb.Remove(sb.Length - 1, 1); sb.Append( " ] "); return sb.ToString(); } #endregion } /// <summary> /// 类 名：JSONObject /// 描 述：JSON对象类 /// 编 写：dnawo /// 站 点： http://www.mzwu.com/ /// 日 期：2010-01-06 /// 版 本：1.1.0 /// 更新历史： /// 2010-01-06 继承Dictionary <TKey, TValue> 代替this[] /// </summary> public class JSONObject : Dictionary< string, object> {} /// <summary> /// 类 名：JSONArray /// 描 述：JSON数组类 /// 编 写：dnawo /// 站 点： http://www.mzwu.com/ /// 日 期：2010-01-06 /// 版 本：1.1.0 /// 更新历史： /// 2010-01-06 继承List <T> 代替this[] /// </summary> public class JSONArray : List< object> {}