我有两张桌子。
答案 0 :(得分:3)
您需要先UNPIVOT
Student
个列,才能将一列中的列(属性名称)作为行。然后使用基于属性名称的join
表Property
,如下所示:
WITH UnPivoted
AS
(
SELECT ID, value,col
FROM
(
SELECT ID,
CAST(Name AS NVARCHAR(50)) AS Name,
CAST(Class AS NVARCHAR(50)) AS Class,
CAST(ENG AS NVARCHAR(50)) AS ENG,
CAST(TAM AS NVARCHAR(50)) AS TAM,
CAST(HIN AS NVARCHAR(50)) AS HIN,
CAST(MAT AS NVARCHAR(50)) AS MAT,
CAST(PHY AS NVARCHAR(50)) AS PHY
FROM Student
) AS s
UNPIVOT
(value FOR col IN
([Name], [class], [ENG], [TAM], [HIN], [MAT], [PHY])
)AS unpvt
)
SELECT
ROW_NUMBER() OVER(ORDER BY u.ID,PropertyID) AS ID,
p.PropertyID,
u.Value,
u.ID AS StudID
FROM Property AS p
INNER JOIN UnPivoted AS u ON p.PropertyName = u.col;
对于第一个ID
,我使用排名函数ROW_NUMBER()
来生成此序列ID。
这将给出您正在寻找的确切结果。
<强> Results 强>:
| ID | PropertyID | Value | StudID |
|----|------------|--------|--------|
| 1 | 1 | Jack | 1 |
| 2 | 2 | 10 | 1 |
| 3 | 3 | 89 | 1 |
| 4 | 4 | 88 | 1 |
| 5 | 5 | 45 | 1 |
| 6 | 6 | 100 | 1 |
| 7 | 7 | 98 | 1 |
| 8 | 1 | Jill | 2 |
| 9 | 2 | 10 | 2 |
| 10 | 3 | 89 | 2 |
| 11 | 4 | 99 | 2 |
| 12 | 5 | 100 | 2 |
| 13 | 6 | 78 | 2 |
| 14 | 7 | 91 | 2 |
| 15 | 1 | Trevor | 3 |
| 16 | 2 | 12 | 3 |
| 17 | 3 | 100 | 3 |
| 18 | 4 | 50 | 3 |
| 19 | 5 | 49 | 3 |
| 20 | 6 | 94 | 3 |
| 21 | 7 | 100 | 3 |
| 22 | 1 | Jim | 4 |
| 23 | 2 | 8 | 4 |
| 24 | 3 | 100 | 4 |
| 25 | 4 | 91 | 4 |
| 26 | 5 | 92 | 4 |
| 27 | 6 | 100 | 4 |
| 28 | 7 | 100 | 4 |
答案 1 :(得分:0)
其他选项是使用apply
如果您不想unpivot
方式
select row_number() over (order by (select 1)) ID, p.PropertyID [PropID], a.Value, a.StuID
from Student s
cross apply
(
values (s.ID, 'Name', s.Name),
(s.ID, 'Class', cast(s.Class as varchar)),
(s.ID, 'ENG', cast(s.ENG as varchar)),
(s.ID, 'TAM', cast(s.TAM as varchar)),
(s.ID, 'HIN', cast(s.HIN as varchar)),
(s.ID, 'MAT', cast(s.MAT as varchar)),
(s.ID, 'PHY', cast(s.PHY as varchar))
) as a(StuID, Property, Value)
join Property p on p.PropertyName = a.Property