Datatbel和 string之间的相互转换

 Datatable 到 string

        public static string DataTableToString(DataTable dt)
        {
            //!@&,#$%,^&*为字段的拼接字符串
            //为了防止连接字符串不在DataTable数据中存在，特意将拼接字符串写成特殊的字符！
            StringBuilder strData = new StringBuilder();
            StringWriter sw = new StringWriter();

             //DataTable 的当前数据结构以 XML 架构形式写入指定的流
            dt.WriteXmlSchema(sw);
            strData.Append(sw.ToString());
            sw.Close();
            strData.Append("@&@");
            for (int i = 0; i < dt.Rows.Count;i++)             //遍历dt的行
            {
                DataRow row = dt.Rows[i];
                if (i > 0)                                    //从第二行数据开始，加上行的连接字符串
                {
                    strData.Append("#$%");
                }
                for (int j = 0; j < dt.Columns.Count; j++)    //遍历row的列
                {
                    if (j > 0)                                //从第二个字段开始，加上字段的连接字符串
                    {
                        strData.Append("^&*");
                    }
                    strData.Append(Convert.ToString(row[j])); //取数据
                }
            }

            return strData.ToString();
        }

string 到Datatable

        public static DataTable StringToDataTable(string strdata)
        {
            if (string.IsNullOrEmpty(strdata))
            {
                return null;
            }
            DataTable dt = new DataTable();
            string[] strSplit = {"@&@"};
            string[] strRow = {"#$%"}; //分解行的字符串
            string[] strColumn = {"^&*"}; //分解字段的字符串

            string[] strArr = strdata.Split(strSplit, StringSplitOptions.None);
            StringReader sr = new StringReader(strArr[0]);
            dt.ReadXmlSchema(sr);
            sr.Close();

            string   strTable = strArr[1]; //取表的数据
            if (!string.IsNullOrEmpty(strTable))
            {
                string[] strRows = strTable.Split(strRow, StringSplitOptions.None); //解析成行的字符串数组
                for (int rowIndex = 0; rowIndex < strRows.Length; rowIndex++) //行的字符串数组遍历
                {
                    string vsRow = strRows[rowIndex]; //取行的字符串
                    string[] vsColumns = vsRow.Split(strColumn, StringSplitOptions.None); //解析成字段数组
                    dt.Rows.Add(vsColumns);
                }
            }
            return dt;
        }