PIVOT SQL - 指导

Posted 2021-04-07

我有以下代码：

    SELECT * 
    FROM
        (   
        SELECT p.ProductID, pc.Name, ISNULL(p.Color, 'Uncolored') AS Color
        FROM SalesLT.ProductCategory AS pc
        INNER JOIN SalesLT.Product AS p ON pc.ProductCategoryID = p.ProductCategoryID
        )
    AS PPC
    PIVOT (COUNT(ProductID) FOR COLOR IN ([Red], [Blue], [Black], [Silver], [Yellow], [Grey], [Multi], [Uncolored]))
    AS ColorPivotTable

这给出了以下输出：

我想知道将Total columns应用于此的最佳方法

期望的输出

非常感谢任何反馈。

答案

这是一个很好的例子，CUBE() (or GROUPING SETS) calculation，加上PIVOT representation，I had to write a blog post about it。

这是解决方案，可以准确地生成您正在寻找的内容：

WITH Bikes(Name, Colour) AS (
  SELECT * FROM (
    VALUES ('Mountain Bikes', 'Black'), 
           ('Mountain Bikes', 'Black'),
           ('Mountain Bikes', 'Silver'),
           ('Road Bikes', 'Red'),
           ('Road Bikes', 'Red'),
           ('Road Bikes', 'Red'),
           ('Road Bikes', 'Black'),
           ('Road Bikes', 'Yellow') 
  ) AS Bikes(Name, Colour)
)
SELECT
  Name, 
  COALESCE(Red, 0) AS Red, 
  COALESCE(Blue, 0) AS Blue, 
  COALESCE(Black, 0) AS Black, 
  COALESCE(Silver, 0) AS Silver, 
  COALESCE(Yellow, 0) AS Yellow, 
  COALESCE(Grey, 0) AS Grey, 
  COALESCE(Multi, 0) AS Multi, 
  COALESCE(Uncoloured, 0) AS Uncoloured, 
  Total
FROM (
  SELECT 
    Coalesce(Name, 'Total') Name, 
    COALESCE(Colour, 'Total') Colour, 
    COUNT(*) Count
  FROM Bikes
  GROUP BY CUBE (Name, Colour)
) AS t
PIVOT (
  MAX(Count) FOR Colour IN (
    Red, Blue, Black, Silver, Yellow, Grey, Multi, Uncoloured, Total
  )
) AS p
ORDER BY CASE Name WHEN 'Total' THEN 1 ELSE 0 END, Name

SQLFiddle here

另一答案

你可以在这里找到一个类似的问题：

Using pivot table with column and row totals in sql server 2008

使用CUBE，解决方案可能是

WITH SalesLT_ProductCategory as (
    SELECT * FROM (
        VALUES 
            (1, 'Mountain Bikes'),
            (2, 'Road Bikes'),
            (3, 'Touring Bikes'),
            (4, 'Brakes')
            -- etc...
        ) AS a (ProductCategoryID, Name)
), SalesLT_Product AS (
    SELECT * FROM (
        VALUES 
            (1, 1, 'Red'),
            (1, 1, 'Blue'),
            (1, 1, 'Blue'),
            (1, 1, 'Blue'),

            (1, 2, 'Red'),
            (1, 2, 'Red'),
            (1, 2, 'Blue'),
            (1, 2, 'Black'),

            (1, 3, 'Black'),
            (1, 3, 'Yellow'),
            (1, 3, 'Grey'),
            (1, 3, 'Grey'),
            (1, 3, 'Grey'),

            (1, 4, 'Red'),
            (1, 4, 'Multi'),
            (1, 4, 'Multi'),
            (1, 4, 'Uncolored'),
            (1, 4, 'Uncolored'),
            (1, 4, 'Uncolored')
            -- etc...
        ) AS a (ProductID, ProductCategoryID, Color)
), BaseData AS (
        SELECT p.ProductID, pc.Name, ISNULL(p.Color, 'Uncolored') AS Color
        FROM SalesLT_ProductCategory AS pc
        INNER JOIN SalesLT_Product AS p ON pc.ProductCategoryID = p.ProductCategoryID
)
SELECT
  Name, 
  COALESCE(Red, 0) AS Red, 
  COALESCE(Blue, 0) AS Blue, 
  COALESCE(Black, 0) AS Black, 
  COALESCE(Silver, 0) AS Silver, 
  COALESCE(Yellow, 0) AS Yellow, 
  COALESCE(Grey, 0) AS Grey, 
  COALESCE(Multi, 0) AS Multi, 
  COALESCE(Uncoloured, 0) AS Uncoloured, 
  Total
FROM (
  SELECT
    COALESCE(Name, 'Total') AS Name, 
    COALESCE(Color, 'Total') AS Color, 
    COUNT(*) AS Count
  FROM BaseData
  GROUP BY CUBE (Name, Color)
) AS t
PIVOT (
  SUM(Count) FOR Color IN (
    Red, Blue, Black, Silver, Yellow, 
    Grey, Multi, Uncoloured, Total
  )
) AS p
ORDER BY CASE Name WHEN 'Total' THEN 1 ELSE 0 END, Name

使用CTE，可以采用替代解决方案

WITH SalesLT_ProductCategory as (
    SELECT * FROM (
        VALUES 
            (1, 'Mountain Bikes'),
            (2, 'Road Bikes'),
            (3, 'Touring Bikes'),
            (4, 'Brakes')
            -- etc...
        ) AS a (ProductCategoryID, Name)
), SalesLT_Product as (
    SELECT * FROM (
        VALUES 
            (1, 1, 'Red'),
            (1, 1, 'Blue'),
            (1, 1, 'Blue'),
            (1, 1, 'Blue'),

            (1, 2, 'Red'),
            (1, 2, 'Red'),
            (1, 2, 'Blue'),
            (1, 2, 'Black'),

            (1, 3, 'Black'),
            (1, 3, 'Yellow'),
            (1, 3, 'Grey'),
            (1, 3, 'Grey'),
            (1, 3, 'Grey'),

            (1, 4, 'Red'),
            (1, 4, 'Multi'),
            (1, 4, 'Multi'),
            (1, 4, 'Uncolored'),
            (1, 4, 'Uncolored'),
            (1, 4, 'Uncolored')
            -- etc...
        ) AS a (ProductID, ProductCategoryID, Color)
), PivotData AS (
    -- your query
    SELECT * 
    FROM
        (   
        SELECT p.ProductID, pc.Name, ISNULL(p.Color, 'Uncolored') AS Color
        FROM SalesLT_ProductCategory AS pc
        INNER JOIN SalesLT_Product AS p ON pc.ProductCategoryID = p.ProductCategoryID
        )
    AS PPC
    PIVOT (COUNT(ProductID) FOR COLOR IN ([Red], [Blue], [Black], [Silver], [Yellow], [Grey], [Multi], [Uncolored]))
    AS ColorPivotTable
), ColumnTotals AS (
    -- column totals
    SELECT
          'Total' AS Name
        , SUM(Red) AS Red
        , SUM(Blue) AS Blue
        , SUM(Black) AS Black
        , SUM(Silver) AS Silver
        , SUM(Yellow) AS Yellow
        , SUM(Grey) AS Grey
        , SUM(Multi) AS Multi
        , SUM(Uncolored )AS Uncolored
    FROM PivotData
), PivotDataWithRowTotals AS (
SELECT * FROM PivotData
UNION ALL 
SELECT * FROM ColumnTotals
)
SELECT P.*
    -- row totals
    , P.Red + P.Blue + P.Black + P.Silver + P.Yellow + P.Grey + P.Multi + P.Uncolored as Total
FROM PivotDataWithRowTotals AS P