#region 將 Json 解析成 DateTable ///  
/// 將 Json 解析成 DateTable。 
/// Json 數據格式如: ///
 {table:[{column1:1,column2:2,column3:3},{column1:1,column2:2,column3:3}]} 
///  
///要解析的 Json 字符串
 /// 返回 DateTable public DataTable JsonToDataTable(string strJson) 
{ 
// 
取出表名 var rg = new Regex(@(?<={)[^:]+(?=:[), RegexOptions.IgnoreCase);
 string strName = rg.Match(strJson).Value; DataTable tb = null;
 // 去除表名 strJson = strJson.Substring(strJson.IndexOf([) + 1);
 strJson = strJson.Substring(0, strJson.IndexOf(]));
 // 獲取數據
 rg = new Regex(@(?<={)[^}]+(?=})); MatchCollection mc = rg.Matches(strJson);
 for (int i = 0; i < mc.Count; i++) { 
string strRow = mc[i].Value; string[] strRows = strRow.Split(','); 
// 創建表 if (tb == null) { tb = new DataTable();
 tb.TableName = strName; foreach (string str in strRows) 
{ var dc = new DataColumn(); 
string[] strCell = str.Split(':'); 
dc.ColumnName = strCell[0].Replace(, );
 tb.Columns.Add(dc); }
 tb.AcceptChanges();
 } // 增加內容 DataRow dr = tb.NewRow(); 
for (int j = 0; j < strRows.Length; j++) 
{ dr[j] = strRows[j].Split(':')[1].Replace(, 
); 
} tb.Rows.Add(dr); 
tb.AcceptChanges();
 } 
return tb; }
 #endregion

{
    table: [
        {
            column1: 1, 
            column2: 2, 
            column3: 3
        }, 
        {
            column1: 1, 
            column2: 2, 
            column3: 3
        }
    ]
}

[{Code:MetaDataId,Name:MetaDataId},{Code:MetadataCode,Name:編號},{Code:SolutionName,Name:名稱}]

[
    {
        Code: MetaDataId, 
        Name: MetaDataId
    }, 
    {
        Code: MetadataCode, 
        Name: 編號
    }, 
    {
        Code: SolutionName, 
        Name: 名稱
    }
]