将复杂的数据透视到行和列

Question

我有下面要在 SQL Server 中透视的数据：

CREATE TABLE #TBL  
(
     Country VARCHAR(50),
     Category VARCHAR(50),
     Staff VARCHAR(50), 
     Quantity INT,
     Amount MONEY
)

INSERT INTO #TBL VALUES
('Australia ','Dairy Products ','Buchanan ',6,14),('Italy ','Cereals ','Peacock ',6,22),('Japan ','Cereals ','Suyama ',9,3),
('Japan ','Produce ','Peacock ',16,38),('Spain ','Cereals ','Peacock ',25,44),('Australia ','Produce ','Buchanan ',14,27),
('Italy ','Produce ','Suyama ',11,15),('Spain ','Cereals ','Leverling ',28,32),('Singapore ','Cereals ','Peacock ',2,43),
('Spain ','Cereals ','Suyama ',1,2),('Spain ','Produce ','Suyama ',25,50),('Spain ','Dairy Products ','Buchanan ',22,45),
('Australia ','Produce ','Suyama ',10,22),('Spain ','Dairy Products ','Leverling ',27,12),('Italy ','Produce ','Peacock ',16,7),
('Australia ','Cereals ','Peacock ',12,35),('Japan ','Dairy Products ','Buchanan ',13,17),('Australia ','Cereals ','Peacock ',29,37),
('Spain ','Cereals ','Leverling ',9,8),('Japan ','Cereals ','Peacock ',13,35);

我写了下面的查询来旋转它。 注意我需要两个支点，因此我的查询中有两个支点

WITH Cat AS
(
SELECT Country  ,Category,  Amount FROM #TBL
) ,
 Staffs AS
(
SELECT Country  ,Staff, Quantity FROM #TBL
)  
SELECT * FROM Cat
PIVOT
(SUM(Amount) FOR Category IN (Cereals,[Dairy Products],[Produce]
)) p1

SELECT * FROM Staffs
PIVOT
(SUM(Quantity) FOR Staff IN ([Buchanan],[Leverling],[Peacock],[Suyama])
) pv2 

当我执行报告时，我只有一部分数据透视和错误消息

消息 208，级别 16，状态 1，第 24 行
无效的对象名称“员工”。

带电流输出

Country    Cereals  Dairy_Products  Produce
--------------------------------------------
Australia   72.00   14.00           49.00
Italy       22.00   NULL            22.00
Japan       38.00   17.00           38.00
Singapore   43.00   NULL            NULL
Spain       86.00   57.00           50.00

我希望它看起来像这样：

期望的输出

有什么问题，请问？

谢谢

Answer 1

SQL无法实现您的预​​期结果，但您可以接近您正在寻找的内容：

SELECT Country,
       SUM(CASE WHEN Category = 'Dairy Products' THEN Quantity ELSE 0 END) AS [Category - Dairy Products],
       SUM(CASE WHEN Category = 'Cereals' THEN Quantity ELSE 0 END) AS [Category - Cereals],
       SUM(CASE WHEN Category = 'Produce' THEN Quantity ELSE 0 END) AS [Category - Produce],
       SUM(CASE WHEN staff = 'Buchanan' THEN Quantity ELSE 0 END) AS [Staff - Buchanan],
       SUM(CASE WHEN staff = 'Leverling' THEN Quantity ELSE 0 END) AS [Staff - Leverling],
       SUM(CASE WHEN staff = 'Peacock' THEN Quantity ELSE 0 END) AS [Staff - Peacock],
       SUM(CASE WHEN staff = 'Suyama' THEN Quantity ELSE 0 END) AS [Staff - Suyama]
FROM #TBL T
GROUP BY Country;

数据形成应该在表示层而不是在SQL 。

Answer 2

另一种选择是使用CROSS APPLY UNPIVOT数据CROSS APPLY ，然后使用单个PIVOT

例子

Select *
 From  (
        Select Country
              ,B.*
         From  #TBL A
         Cross Apply ( values (Category,Amount) 
                             ,(Staff   ,Quantity)   -- >>> Corrected <<<
                     ) B (Item,Value)
       ) src
 Pivot (sum(value) for Item in ([Cereals],[Dairy Products],[Produce],[Buchanan],[Leverling],[Peacock],[Suyama]) ) pvt

退货

Answer 3

  CREATE TABLE #TBL  (Country VARCHAR(50),Category VARCHAR(50),Staff VARCHAR(50), Quantity INT,Amount MONEY)
        INSERT INTO #TBL VALUES
        ('Australia ','Dairy Products ','Buchanan ',6,14),('Italy ','Cereals ','Peacock ',6,22),('Japan ','Cereals ','Suyama ',9,3),
        ('Japan ','Produce ','Peacock ',16,38),('Spain ','Cereals ','Peacock ',25,44),('Australia ','Produce ','Buchanan ',14,27),
        ('Italy ','Produce ','Suyama ',11,15),('Spain ','Cereals ','Leverling ',28,32),('Singapore ','Cereals ','Peacock ',2,43),
        ('Spain ','Cereals ','Suyama ',1,2),('Spain ','Produce ','Suyama ',25,50),('Spain ','Dairy Products ','Buchanan ',22,45),
        ('Australia ','Produce ','Suyama ',10,22),('Spain ','Dairy Products ','Leverling ',27,12),('Italy ','Produce ','Peacock ',16,7),
        ('Australia ','Cereals ','Peacock ',12,35),('Japan ','Dairy Products ','Buchanan ',13,17),('Australia ','Cereals ','Peacock ',29,37),
        ('Spain ','Cereals ','Leverling ',9,8),('Japan ','Cereals ','Peacock ',13,35);

        --SELECT * FROM #TBL

        SELECT Country  ,Category,  Amount,Staff, Quantity INTO #Cat FROM #TBL  --- create temp table for catgory data and insert cat data

        SELECT Country  ,Staff, Quantity INTO #Staffs FROM #TBL --- create temp table for staff data and insert staff data

        SELECT * INTO #CATEGORY FROM #Cat   --Create Pivot based on Catgories from #Cat table and insert data into #CATEGORY Data
        PIVOT
        (SUM(Amount) FOR Category IN (Cereals,[Dairy Products],[Produce]
        )) p1

        SELECT * INTO #STF FROM #Staffs --Create Pivot based on Staff from #Staffs table and insert data into #STF Data
        PIVOT
        (SUM(Quantity) FOR STAFF IN ([Buchanan],[Leverling],[Peacock],[Suyama]
        )) p2

        --- and final query here is your result 
        SELECT C.Country,SUM(C.Cereals) Cereals,SUM(C.[Dairy Products]) [Dairy Products],SUM(C.Produce) Produce,SUM(S.Buchanan) Buchanan,SUM(S.Leverling) Leverling,SUM(S.Peacock) Peacock,SUM(S.Suyama) Suyama FROM #CATEGORY C
        LEFT JOIN #STF S ON C.Country = S.Country
        GROUP BY C.Country

        drop table #TBL,#Cat,#Staffs,#CATEGORY,#STF