#region 將 Json 解析成 DateTable /// 
/// 將 Json 解析成 DateTable。
/// Json 數(shù)據(jù)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(shù)據(jù)
 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(chuàng)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(nèi)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
    }
]