查询根据两个唯一维度返回聚合？

Question

我有以下表格,其中包含SQL Server 2008 R2中的客户和购买数据:

顾客

CustId   Last    First    Phone
   1     Doe     John    555-5555  
   2     Smith   Sally   444-4444
   3     Smith   Greg    222-1212

Order_Header

OrderId  CustId  Date  
 1001       3   07/08/2011
 1002       2   07/19/2011
 1003       2   03/12/2012
 1004       1   03/14/2012
 1005       3   03/20/2012
 1006       1   04/17/2012
 1007       2   06/04/2012
 1008       1   08/04/2011

ORDER_LINES

OrderId     Sequence    Item      Type    Manufacturer   Price
 1001          1        WIDGET     C         WidgCo      12.00
 1001          2        SWITCH     C        SwitchCo     10.00
 1002          1        RADIO      A        RadSupply    30.00
 1002          2        CRT        A        CRT&More     31.00
 1002          3        NCARD      G        iNetwork      5.00
 1003          1        SENSOR     E        Sensora       7.50
 1004          1        SENSOR     D        Sensora       6.00
 1005          1        WIDGET     C         WidgInc     11.50
 1006          1        RADIO      A        RadSupply    30.00
 1006          2        SCREEN     A        ScreensInc    2.00
 1007          1        ANTENNA    G       AntennasPlus   5.50
 1008          1        SWITCH     B       SwitchOutlet   6.00

我正在尝试创建一个查询,列出每个客户,他们的联系信息,他们在每个类型上花费的总额以及他们与每个制造商花费的总额.到目前为止,我已经尝试了各种不同的JOINS,但我似乎无法让它工作.
我想找回这样的东西:

CustomerId  Last  First  Phone     TYPE  TOT_TYPE  
   1        Doe   John  555-5555    A      32.00
   1        Doe   John  555-5555    B      6.00  
   1        Doe   John  555-5555    D      6.00    

我也不确定如何合并制造商总数.如何在同一查询中返回两个数据集？

Answer 1

听起来有点像你想要PIVOT的数据.这可以得到type每个总数的总和manufacturer.PIVOT静态或动态有两种方法.

静态(参见SQL小提琴演示)

SELECT custid, last, first, phone, type,
    IsNull([AntennaPlus], 0) as [AntennaPlus],
    IsNull([CRT&More], 0) as [CRT&More],
    IsNull([iNetwork], 0) as [iNetwork],
    IsNull([RadSupply], 0) as [RadSupply],
    IsNull([ScreensInc], 0) as [ScreensInc],
    IsNull([Sensora], 0) as [Sensora],
    IsNull([SwitchCo], 0) as [SwitchCo],
    IsNull([SwitchOutlet], 0) as [SwitchOutlet],
    IsNull([WidgCo], 0) as [WidgCo],  
    IsNull([AntennaPlus], 0)+ 
    IsNull([CRT&More], 0)+ 
    IsNull([iNetwork], 0)+ 
    IsNull([RadSupply], 0)+ 
    IsNull([ScreensInc], 0)+ 
    IsNull([Sensora], 0)+ 
    IsNull([SwitchCo], 0)+ 
    IsNull([SwitchOutlet], 0)+ 
    IsNull([WidgCo], 0) Total 
from 
 (
    SELECT c.custid, c.last, c.first, c.phone,
        ol1.type, 
        ol1.manufacturer,
        ol1.price
    from customers c
    inner join Order_Header oh
        on c.custid = oh.custid
    inner join Order_Lines ol1
        on oh.orderid = ol1.orderid
 ) x
 pivot 
 (
    sum(price)
    for manufacturer in ( [AntennaPlus], [CRT&More], [iNetwork], [RadSupply], [ScreensInc], [Sensora], [SwitchCo], [SwitchOutlet], [WidgCo])
 ) p 

Dynamic Pivot(参见SQL小提琴演示)

DECLARE @cols AS NVARCHAR(MAX),
    @query  AS NVARCHAR(MAX),
    @colsPivot AS NVARCHAR(MAX),
    @colsTotal AS NVARCHAR(MAX)

select @cols = STUFF((SELECT distinct ', ' + QUOTENAME(manufacturer)
                    from Order_Lines
            FOR XML PATH(''), TYPE
            ).value('.', 'NVARCHAR(MAX)') 
        ,1,1,'')

select @colsPivot = STUFF((SELECT distinct ',IsNull(' + QUOTENAME(manufacturer)+', 0) as ['+ manufacturer+ ']'
                    from Order_Lines
            FOR XML PATH(''), TYPE
            ).value('.', 'NVARCHAR(MAX)') 
        ,1,1,'')

select @colsTotal = STUFF((SELECT distinct '+ IsNull(' + QUOTENAME(manufacturer)+', 0)'
                    from Order_Lines
            FOR XML PATH(''), TYPE
            ).value('.', 'NVARCHAR(MAX)') 
        ,1,1,'')

set @query 
      = 'SELECT custid, last, first, phone, type,' + @colsPivot + ', '+ @colsTotal+' Total from 
         (
            SELECT c.custid, c.last, c.first, c.phone,
                ol1.type, 
                ol1.manufacturer,
                ol1.price
            from customers c
            inner join Order_Header oh
                on c.custid = oh.custid
            inner join Order_Lines ol1
                on oh.orderid = ol1.orderid
         ) x
         pivot 
         (
            sum(price)
            for manufacturer in (' + @cols + ')
         ) p '
execute(@query)

两者都应该提供相同的结果.区别在于您必须对所需的值进行硬编码的静态版本.动态版本在运行时获取列的值,因此如果制造商更改它将自动调整.