#region 将 Json 解析成 DateTable ///  /// 将 Json 解析成 DateTable。 /// Json 数据格式如: ///  {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(]));  // 获取数据  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(','); // 创建表 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();  } // 增加内容 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:编号},{Code:SolutionName,Name:名称}]

[     {         Code: MetaDataId,         Name: MetaDataId     },     {         Code: MetadataCode,         Name: 编号     },     {         Code: SolutionName,         Name: 名称     } ]