我需要帮助修复查询，以便返回正确的行数。我有下表，每个ProductID有12行。我想要的是将这12行转换为1行，每个产品ID有12个设置列。
生成的动态代码仅创建1行
--Table this belongs to
Create table #Attributes
(
ProductID uniqueIdentifier,
PAID Varchar(48),
Label nvarchar(50),
AttrValue nvarchar(3072),
unit nvarchar(50)
)
. . . . . . .
select *
from
(
select col + cast(rn as varchar(10)) new_col, val
from
(
select
Cast(PAID as NVarchar(3072)) PAID
,Cast (ProductID as NVarchar(3072)) ProductID
,Cast (Label as NVarchar(3072)) Label
,Cast (Value as NVarchar(3072)) Value
,Cast (unit as NVarchar(3072)) unit
,row_number() over(partition by ProductID order by ProductID) rn
from #Attributes
) x
unpivot
(
val
for col in ([ProductID],[PAID],[Label],[Value],[unit])
) u
) x1
pivot
(
max(val)
for new_col in
([ProductID1],[PAID1],[Label1],[Value1],[unit1],[ProductID2],[PAID2],[Label2],[Value2],[unit2],[ProductID3],[PAID3],[Label3],[Value3],[unit3],[ProductID4],[PAID4],[Label4],[Value4],[unit4],[ProductID5],[PAID5],[Label5],[Value5],[unit5],[ProductID6],[PAID6],[Label6],[Value6],[unit6],[ProductID7],[PAID7],[Label7],[Value7],[unit7],[ProductID8],[PAID8],[Label8],[Value8],[unit8],[ProductID9],[PAID9],[Label9],[Value9],[unit9],[ProductID10],[PAID10],[Label10],[Value10],[unit10],[ProductID11],[PAID11],[Label11],[Value11],[unit11],[ProductID12],[PAID12],[Label12],[Value12],[unit12],[ProductID13],[PAID13],[Label13],[Value13],[unit13],[ProductID14],[PAID14],[Label14],[Value14],[unit14],[ProductID15],[PAID15],[Label15],[Value15],[unit15],[ProductID16],[PAID16],[Label16],[Value16],[unit16],[ProductID17],[PAID17],[Label17],[Value17],[unit17],[ProductID18],[PAID18],[Label18],[Value18],[unit18],[ProductID19],[PAID19],[Label19],[Value19],[unit19],[ProductID20],[PAID20],[Label20],[Value20],[unit20],[ProductID21],[PAID21],[Label21],[Value21],[unit21])
) p
当前代码只生成1行数据并忽略我表中的其他ProductID。我将非常感谢帮助解决这个问题。谢谢。
下面是一个表（想想没有列分隔线的Excel。产品ID字段有值，但PAID，LABEL，VALUE和UNIT列中没有值。这就是它们在表中显示为空白的原因。 / p>
PRODUCTID PAID LABEL VALUE UNIT
--------------------------------------------------------------------------------------
F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
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F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
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F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
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F4D58DCE-8EED-40E3-BF4C-07349BEC0A3E
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ACF57CF7-7206-46F5-A341-16E1B9828DBC
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ACF57CF7-7206-46F5-A341-16E1B9828DBC
ACF57CF7-7206-46F5-A341-16E1B9828DBC
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A5A24B87-E4E7-4282-8BB1-7413198A7D1A
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A5A24B87-E4E7-4282-8BB1-7413198A7D1A
A5A24B87-E4E7-4282-8BB1-7413198A7D1A
A5A24B87-E4E7-4282-8BB1-7413198A7D1A
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60B1AB86-E0EB-41AE-858C-AAD4744FD49C
60B1AB86-E0EB-41AE-858C-AAD4744FD49C
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答案 0 :(得分：1)
从UNPIVOT列列表中排除ProductID，并相应地从PIVOT列列表中排除所有ProductID*列。另外，在子查询的SELECT中包含ProductID：
select *
from
(
select [ProductID], col + cast(rn as varchar(10)) new_col, val
from
(
select
Cast(PAID as NVarchar(3072)) PAID
,Cast (ProductID as NVarchar(3072)) ProductID
,Cast (Label as NVarchar(3072)) Label
,Cast (Value as NVarchar(3072)) Value
,Cast (unit as NVarchar(3072)) unit
,row_number() over(partition by ProductID order by ProductID) rn
from #Attributes
) x
unpivot
(
val
for col in ([ProductID],[PAID],[Label],[Value],[unit])
) u
) x1
pivot
(
max(val)
for new_col in
([ProductID1],[PAID1],[Label1],[Value1],[unit1],
[ProductID2],[PAID2],[Label2],[Value2],[unit2],
[ProductID3],[PAID3],[Label3],[Value3],[unit3],
[ProductID4],[PAID4],[Label4],[Value4],[unit4],
[ProductID5],[PAID5],[Label5],[Value5],[unit5],
[ProductID6],[PAID6],[Label6],[Value6],[unit6],
[ProductID7],[PAID7],[Label7],[Value7],[unit7],
[ProductID8],[PAID8],[Label8],[Value8],[unit8],
[ProductID9],[PAID9],[Label9],[Value9],[unit9],
[ProductID10],[PAID10],[Label10],[Value10],[unit10],
[ProductID11],[PAID11],[Label11],[Value11],[unit11],
[ProductID12],[PAID12],[Label12],[Value12],[unit12],
[ProductID13],[PAID13],[Label13],[Value13],[unit13],
[ProductID14],[PAID14],[Label14],[Value14],[unit14],
[ProductID15],[PAID15],[Label15],[Value15],[unit15],
[ProductID16],[PAID16],[Label16],[Value16],[unit16],
[ProductID17],[PAID17],[Label17],[Value17],[unit17],
[ProductID18],[PAID18],[Label18],[Value18],[unit18],
[ProductID19],[PAID19],[Label19],[Value19],[unit19],
[ProductID20],[PAID20],[Label20],[Value20],[unit20],
[ProductID21],[PAID21],[Label21],[Value21],[unit21])
) p
更新：解释上述解决方案。
在您的查询中，x子查询返回如下数据：
ProductID PAID Label Value unit rn
--------- ----- ------ ------ ----- ---
A ... ... ... ... 1
A ... ... ... ... 2
... ... ... ... ... ...
B ... ... ... ... 1
... ... ... ... ... ...
UNPIVOT子句将其转换为：
rn col val
--- --------- -----
1 ProductID A
1 PAID ...
1 Label ...
1 Value ...
1 unit ...
2 ProductID A
2 PAID ...
2 Label ...
2 Value ...
2 unit ...
... ... ...
1 ProductID B
1 PAID ...
1 Label ...
1 Value ...
1 unit ...
SELECT子句连接前两列以返回以下内容：
new_col val
---------- -----
ProductID1 A
PAID1 ...
Label1 ...
Value1 ...
unit1 ...
ProductID2 A
PAID2 ...
Label2 ...
Value2 ...
unit2 ...
... ...
ProductID1 B
PAID1 ...
Label1 ...
Value1 ...
unit1 ...
... ...
这是最终被转动的行集。请注意，此时SQL Server无法告诉产品A的产品B的属性。 PIVOT子句的行为类似于GROUP BY，通过将new_col应用于它们，将具有相同MAX()值的所有值折叠为一个。如果存在非旋转列，则会根据该列中的值将行拆分为组。但是上面的行集中没有人，因此， all 行被折叠成一行。
你需要的是让你的最终但是一个行集看起来像这样：
ProductID new_col val
--------- ------- -----
A PAID1 ...
A Label1 ...
A Value1 ...
A unit1 ...
A PAID2 ...
A Label2 ...
A Value2 ...
A unit2 ...
... ... ...
B PAID1 ...
B Label1 ...
B Value1 ...
B unit1 ...
... ... ...
也就是说，ProductID列允许SQL Server区分属于产品PAID1的{{1}}和属于A的{{1}}。
要获取该行集，您只需要从B子句中排除ProductID，然后将其与不透明的列一起拉出来。由于UNPIVOT被排除在UNPIVOT列列表之外，所有ProductID，ProductID1等也应从PIVOT列表中排除，您可以在上面的查询中看到。< / p>