表格中的当前数据
id AA BB CC DD EE FF
1 a b c d e f
2 a1 b2 c3 d2 e4 f2
我想:
Colx 1 2
AA a a1
BB b b2
CC c c3
DD d d2
EE e e4
FF f f2
请帮助我。
答案 0 :(得分:2)
好吧,在仔细查看您的问题后,我认为这不重复,您不仅要将列转换为行,还要将行同时转换为列。
因此,您必须组合两个解决方案 - 将列拆分为行并将行旋转到列,例如:
select
c.name as ColX,
max(case when t.id = 1 then c.value else null end) as [1],
max(case when t.id = 2 then c.value else null end) as [2]
from Table1 as t
cross apply (values
('AA', t.AA),
('BB', t.BB),
('CC', t.CC),
('DD', t.EE)
) as c(name, value)
group by c.name
您也可以使用SQL Server中的standard pivot and unpivot:
select *
from Table1 as t
unpivot (
value for
colx in (AA, BB, CC, DD, EE, FF)
) as unpiv
pivot (
max(unpiv.value)
for id in ([1], [2])
) as piv
如果您不想指定id和列的值,请尝试动态SQL:
declare @stmt1 nvarchar(max), @stmt2 nvarchar(max), @stmt nvarchar(max)
select @stmt1 =
isnull(@stmt1 + ', ', '') +
'(''' + c.column_name + ''', t.' + c.column_name + ')'
from information_schema.columns as c
where c.table_name = 'Table1' and c.column_name <> 'id'
select @stmt2 =
isnull(@stmt2 + ', ', '') + 'max(case when t.id = ' + t.id + ' then c.value end) as [' + t.id + ']'
from (select distinct cast(id as nvarchar(max)) as id from Table1) as t
select @stmt = '
select
c.name as ColX, ' + @stmt2 + '
from Table1 as t
cross apply (values ' + @stmt1 + ') as c(name, value)
group by c.name'
exec sp_executesql @stmt = @stmt