class="csharp FocusMe">#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
? 1 ? 1
格式如下:
? 1 2 3 4 5 6 7 8 9 10 11 12 13 14monospace !important; font-size: 1em !important; font-style: normal !important; font-weight: normal !important; vertical-align: baseline !important; float: none !important; position: static !important; min-height: inherit !important; box-sizing: content-box !important;">{
table: [
{
column1:
1
,
column2:
2
,
column3:
3
},
{
column1:
1
,
column2:
2
,
column3:
3
}
]
}
例如:
? 1[{Code:MetaDataId,Name:MetaDataId},{Code:MetadataCode,Name:编号},{Code:SolutionName,Name:名称}]
格式化后:
? 1 2 3 4 5 6 7 8 9 10 11 12 13 14[
{
Code: MetaDataId,
Name: MetaDataId
},
{
Code: MetadataCode,
Name: 编号
},
{
Code: SolutionName,
Name: 名称
}
]