Question

我有一张这样的桌子......

CustomerID   DBColumnName   Data
--------------------------------------
1            FirstName      Joe
1            MiddleName     S
1            LastName       Smith
1            Date           12/12/2009
2            FirstName      Sam
2            MiddleName     S
2            LastName       Freddrick
2            Date           1/12/2009
3            FirstName      Jaime
3            MiddleName     S
3            LastName       Carol
3            Date           12/1/2009

我想要这个......

这可以使用PIVOT吗？

CustomerID  FirstName   MiddleName          LastName        Date
----------------------------------------------------------------------
1           Joe             S               Smith           12/12/2009
2           Sam             S               Freddrick       1/12/2009
3           Jaime           S               Carol           12/1/2009

Answer 1

是的，但为什么!! ??

   Select CustomerID,
     Min(Case DBColumnName When 'FirstName' Then Data End) FirstName,
     Min(Case DBColumnName When 'MiddleName' Then Data End) MiddleName,
     Min(Case DBColumnName When 'LastName' Then Data End) LastName,
     Min(Case DBColumnName When 'Date' Then Data End) Date
   From table
   Group By CustomerId

Answer 2

你可以使用MAX聚合，它仍然可以工作。一个值的MAX =该值..

在这种情况下，您还可以在customerid上自行加入5次，按每个表引用按dbColumnName过滤。它可能会更好。

Answer 3

WITH pivot_data AS
(
SELECT customerid, -- Grouping Column
dbcolumnname, -- Spreading Column
data -- Aggregate Column
FROM pivot2 
)
SELECT customerid, [firstname], [middlename], [lastname]
FROM pivot_data
PIVOT (max(data) FOR dbcolumnname IN ([firstname],[middlename],[lastname])) AS p;

Answer 4

好的，抱歉这个糟糕的问题。 gbn让我走上正轨。这就是我在答案中寻找的内容。

SELECT [FirstName], [MiddleName], [LastName], [Date] 
FROM #temp 
PIVOT
(   MIN([Data]) 
    FOR [DBColumnName] IN ([FirstName], [MiddleName], [LastName], [Date]) 
)AS p

然后我不得不使用while语句并将上述语句构建为varchar并使用dynmaic sql。

使用类似的东西

SET @fullsql = @fullsql + 'SELECT ' + REPLACE(REPLACE(@fulltext,'(',''),')','')
SET @fullsql = @fullsql + 'FROM #temp '
SET @fullsql = @fullsql + 'PIVOT'
SET @fullsql = @fullsql + '('
SET @fullsql = @fullsql + ' MIN([Data])'
SET @fullsql = @fullsql + ' FOR [DBColumnName] IN '+@fulltext
SET @fullsql = @fullsql + ')'
SET @fullsql = @fullsql + 'AS p'

EXEC (@fullsql)

使用while循环构建@fulltext并从表中选择不同的列名。谢谢你的回答。

Answer 5

SELECT
main.CustomerID,
f.Data AS FirstName,
m.Data AS MiddleName,
l.Data AS LastName,
d.Data AS Date
FROM table main
INNER JOIN table f on f.CustomerID = main.CustomerID
INNER JOIN table m on m.CustomerID = main.CustomerID
INNER JOIN table l on l.CustomerID = main.CustomerID
INNER JOIN table d on d.CustomerID = main.CustomerID
WHERE f.DBColumnName = 'FirstName' 
AND m.DBColumnName = 'MiddleName' 
AND l.DBColumnName = 'LastName' 
AND d.DBColumnName = 'Date'

编辑：我没有编辑和编写这篇文章。没有运行SQL。我希望，你明白了。

Answer 6

OP实际上并不需要在没有聚合的情况下进行转动，但对于那些来到这里的人来说，知道如何看待：

sql parameterised cte query

该问题的答案涉及需要无需聚合的数据透视的情况，因此执行此操作的示例是解决方案的一部分。

Answer 7

试试这个：

SELECT CUSTOMER_ID, MAX(FIRSTNAME) AS FIRSTNAME, MAX(LASTNAME) AS LASTNAME ...

FROM
(

SELECT CUSTOMER_ID, 
       CASE WHEN DBCOLUMNNAME='FirstName' then DATA ELSE NULL END AS FIRSTNAME,
       CASE WHEN DBCOLUMNNAME='LastName' then DATA ELSE NULL END AS LASTNAME,
        ... and so on ...
GROUP BY CUSTOMER_ID

) TEMP

GROUP BY CUSTOMER_ID

Answer 8

这应该有效：

select * from (select [CustomerID]  ,[Demographic] ,[Data]
from [dbo].[pivot]
) as Ter

pivot (max(Data) for  Demographic in (FirstName, MiddleName, LastName, [Date]))as bro

Answer 9

以下是为数据透视查询构建动态字段的好方法：

- 将值汇总到tmp表

declare @STR varchar(1000)
SELECT  @STr =  COALESCE(@STr +', ', '') 
+ QUOTENAME(DateRange) 
from (select distinct DateRange, ID from ##pivot)d order by ID

---查看生成的字段

print @STr

exec('  .... pivot code ...
pivot (avg(SalesAmt) for DateRange IN (' + @Str +')) AS P
order by Decile')

TSQL Pivot没有聚合函数

9 个答案: