SQL Server在2个(或多个)聚合上枢转

问题描述

是否可以在SQL Server中对多个聚合的列进行数据透视?我有以下订单表:

Is it possible to pivot on multiple aggregated columns in SQL Server? I have the following order table:

[ORDERS]
| CustName | OrderedProduct | QtyOrdered | UnitCost | UnitPrice |  OrderDate
  Bob      | Canned Tuna    |          6 |       11 |        14 | 21-12-2016 13:11:00
  Steve    | Canned Salmon  |          2 |       15 |        19 | 03-11-2016 11:03:00
  Bob      | Canned Tuna    |         10 |       10 |        13 | 22-12-2016 10:43:00
  Bob      | Canned Tuna    |          4 |        9 |        10 | 13-11-2016 17:22:00

我有以下数据查询，该查询为我提供了11月/12月每个客户每个产品的订购数量:

I have the following pivot query which gives me an order quantity per product per customer for months Nov/Dec:

SELECT CustName, OrderedProduct, [VOL Dec 2016], [VOL Nov 2016] FROM
(
    SELECT CustName, OrderedProduct, QtyOrdered,
    'VOL ' + CONVERT(CHAR(4), OrderDate, 100) + CONVERT(CHAR(4), OrderDate, 120) AS YearMonthVol
    FROM [ORDERS]
) src
PIVOT
(
    SUM(QtyOrdered)
    FOR YearMonthVol IN ([VOL Dec 2016], [VOL Nov 2016])
) pvtvol
WHERE CustName='Bob'

这给出了预期的结果

CustName | OrderedProduct | VOL Dec 2016 | VOL Nov 2016
Bob      | Canned Tuna    |           16 |            4

我还希望以边距为中心，因此将 src 查询更改为:

What I want is to also pivot on margin so changing the src query to:

    SELECT CustName, OrderedProduct, QtyOrdered,
    ((UnitPrice-UnitCost)*QtyOrdered) AS Margin,
    'VOL ' + CONVERT(CHAR(4), OrderDate, 100) + CONVERT(CHAR(4), OrderDate, 120) AS YearMonthVol
    'MAR ' + CONVERT(CHAR(4), OrderDate, 100) + CONVERT(CHAR(4), OrderDate, 120) AS YearMonthMar
    FROM [ORDERS]

我尝试了以下修改后的查询，添加了第二个枢轴

I have tried the following modified query adding a second pivot

SELECT CustName, OrderedProduct, [VOL Dec 2016], [VOL Nov 2016], [MAR Dec 2016], [MAR Nov 2016] FROM
(
    SELECT CustName, OrderedProduct, QtyOrdered,
    ((UnitPrice-UnitCost)*QtyOrdered) AS Margin,
    'VOL ' + CONVERT(CHAR(4), OrderDate, 100) + CONVERT(CHAR(4), OrderDate, 120) AS YearMonthVol
    'MAR ' + CONVERT(CHAR(4), OrderDate, 100) + CONVERT(CHAR(4), OrderDate, 120) AS YearMonthMar
    FROM [ORDERS]
) src
PIVOT
(
    SUM(QtyOrdered)
    FOR YearMonthVol IN ([VOL Dec 2016], [VOL Nov 2016])
) pvtvol
PIVOT
(
    SUM(Margin)
    FOR YearMonthMar IN ([MAR Dec 2016], [MAR Nov 2016])
) pvtmar
WHERE CustName='Bob'

我会期望看到的表是

CustName | OrderedProduct | VOL Dec 2016 | VOL Nov 2016 | MAR Dec 2016 | MAR Nov 2016
Bob      | Canned Tuna    |           16 |            4 |           48 |            4

我实际上看到的表是

CustName | OrderedProduct | VOL Dec 2016 | VOL Nov 2016 | MAR Dec 2016 | MAR Nov 2016
Bob      | Canned Tuna    |           16 |         NULL |           48 |         NULL
Bob      | Canned Tuna    |         NULL |            4 |         NULL |            4

因此，似乎没有应用保证金的枢纽，每个订单我都会得到一行.我尝试使用的方法实际上是否可以实现目标?或者，将交叉表查询用于VOL和MAR还是将透视表和交叉表混合使用(VOL的透视表，MAR的交叉表?)会更好? )

So, the pivot on margin does not seem to be applied, and I get a row for each order. Is what I'm trying to achieve actually possible with the method I'm trying to use, or would I be better to use a crosstab query for VOL and MAR or a mixture of pivot and crosstab (pivot for VOL, crosstab for MAR?)

任何建议，我们将不胜感激.

Any advice greatly appreciated.

推荐答案

您可以稍微简化查询

示例

Select *
 From (
        Select A.CustName 
              ,A.OrderedProduct
              ,B.*
         From  ORDERS A
         Cross Apply ( values ('VOL '+left(DateName(Month,OrderDate),3)+' '+DateName(Year,OrderDate), QtyOrdered )
                             ,('MAR '+left(DateName(Month,OrderDate),3)+' '+DateName(Year,OrderDate),((UnitPrice-UnitCost)*QtyOrdered) )
                     ) B (Item,Value)
         Where CustName='Bob'
      ) A
 Pivot (sum([Value]) For [Item] in ([VOL Dec 2016], [VOL Nov 2016],[MAR Dec 2016], [MAR Nov 2016]) ) p

返回

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