如果下面的select语句中有多个Fieldname(Turnover和NetProfit),当我将mySqlDataAdapter填充到datatable时会发生错误。然后我将它放入datagridview。如何解决?
数据:
FieldName | Ticker| Value| Year
--
Turnover | APPL | 1555 | 2010
Turnover | APPL | 1688 | 2011
Turnover | APPL | 1900 | 2012
Turnover | APPL | 1989 | 2013
NetProfit | APPL | 123 | 2010
NetProfit | APPL | 158 | 2011
NetProfit | APPL | 200 | 2012
NetProfit | APPL | 300 | 2013
代码:
Dim da As New MySqlDataAdapter(strSQL, cn)
Dim dt As New DataTable
da.Fill(dt) 'error occurred here!!! if more than 1 distinct fieldname
dgv1.DataSource = dt
查询:
SELECT
(SELECT format(Value,0) from Data WHERE Ticker = 'APPL' AND Year = 2010) As 'Y2010' ,
(SELECT format(Value,0) from Data WHERE Ticker = 'APPL' AND Year = 2011) As 'Y2011' ,
(SELECT format(Value,0) from Data WHERE Ticker = 'APPL' AND Year = 2012) As 'Y2012' ,
(SELECT format(Value,0) from Data WHERE Ticker = 'APPL' AND Year = 2013) As 'Y2013'
输出:( DATA表中的净利润) (如果数据表只包含一个FieldName,比如Turnover,那么输出下面就是营业额)
Y2010| Y2011| Y2012| Y2013
--
1555 | 1688 | 1900 | 1989
输出:(数据表中的2个字段名称,即营业额和净利润
(不成功)
我想要的输出:(目前,我已添加标准“WHERE Ticker =”)
FieldName | Y2010 | Y2011 | Y2012 | Y2013
--
Turnover | 1555 | 1688 | 1900 | 1989
NetProfit | 123 | 158 | 200 | 300
下一步所需输出:(适用于所有代码)
Ticker| FieldName | Y2010| Y2011| Y2012| Y2013
--
APPL | Turnover | 1555 | 1688 | 1900 | 1989
APPL | NetProfit | 123 | 158 | 200 | 300
MSFT | Turnover | 2555 | 2688 | 1600 | 3489
MSFT | NetProfit | 133 | 248 | 205 | 300
答案 0 :(得分:0)
这可以得到你想要的结果
select distinct
cast(data.Ticker as char(20)),
cast(data.FieldName as char(20)),
d2010.Value as 'Y2010' ,
d2011.Value as 'Y2011' ,
d2012.Value as 'Y2012' ,
d2013.Value as 'Y2013'
from data
inner join data as d2010 on data.FieldName like d2010.FieldName and d2010.Year = 2010
inner join data as d2011 on data.FieldName like d2011.FieldName and d2011.Year = 2011
inner join data as d2012 on data.FieldName like d2012.FieldName and d2012.Year = 2012
inner join data as d2013 on data.FieldName like d2013.FieldName and d2013.Year = 2013
注意:如果文本字段是文本类型,则distinct
需要强制转换。我在MSSQL中对此进行了测试,并在MySQL验证器中检查了语法。