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 0 :(得分:3)
这是CUBE()
(or GROUPING SETS
) calculation的一个很好的例子,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
答案 1 :(得分:0)
你可以在这里找到类似的问题:
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,替代解决方案可能是
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)
), 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