基于你的previous question was tagged with sql server,我猜你需要sql server 语法。
为了获得结果,您需要同时使用UNPIVOT 和PIVOT 函数。 unpivot 将采用TCount 和Count 列并将它们转换为行,然后PIVOT 将采用dates 并将它们转换为列。
如果您提前知道这些值,那么您可以对查询进行硬编码:
select *
from
(
select date, value, col
from yourtable
unpivot
(
value
for col in (tcount, count)
) unpiv
) src
pivot
(
max(value)
for date in ([2013-02-06], [2013-02-12],
[2013-02-21], [2013-02-27])
) piv;
见SQL Fiddle with Demo
但是,如果您有未知数量的日期,那么您将需要动态 SQL:
DECLARE @cols AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX)
select @cols = STUFF((SELECT distinct ',' + QUOTENAME(convert(varchar(10), Date, 120))
from yourtable
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set @query = 'SELECT col, ' + @cols + ' from
(
select convert(varchar(10), Date, 120) date,
value, col
from yourtable
unpivot
(
value
for col in (tcount, count)
) unpiv
) src
pivot
(
max(value)
for date in (' + @cols + ')
) p '
execute(@query)
见SQL Fiddle with Demo
两者的结果是:
| COL | 2013-02-06 | 2013-02-12 | 2013-02-21 | 2013-02-27 |
--------------------------------------------------------------
| COUNT | 35 | 23 | 54 | 12 |
| TCOUNT | 3500 | 4000 | 1000 | 5000 |