如何在多个列上进行旋转？

Question

我正在尝试以多个列为中心，并且我正在使用 SQL Server 2014，但是，我无法弄清楚如何做到这一点。到目前为止，这是我尝试过的：

DECLARE @Table TABLE (
    Name NVARCHAR(MAX),
    TypeId INT,
    TotalOrders INT,
    GrandTotal MONEY
)

INSERT INTO @Table
    (Name, TypeId, TotalOrders, GrandTotal)
VALUES
    ('This Month', 1, 10, 1),
    ('This Month', 2, 5, 7),
    ('This Week', 1, 8, 3),
    ('Last Week', 1, 8, 12),
    ('Yesterday', 1, 10, 1),
    ('Yesterday', 2, 1, 5)

这会产生以下结果：

Name                             TypeId      TotalOrders GrandTotal
-------------------------------- ----------- ----------- ---------------------
This Month                       1           10          1.00
This Month                       2           5           7.00
This Week                        1           8           3.00
Last Week                        1           8           12.00
Yesterday                        1           10          1.00
Yesterday                        2           1           5.00

要将这些行放入列中，我已经尝试过：

SELECT
    TypeId,
    ISNULL([Yesterday], 0) AS YesterdayTotalOrders,
    ISNULL([This Week], 0) AS ThisWeekTotalOrders,
    ISNULL([Last Week], 0) AS LastWeekTotalOrders,
    ISNULL([This Month], 0) AS ThisMonthTotalOrders
FROM
    (SELECT Name, TypeId, TotalOrders FROM @Table) AS src
PIVOT (
    SUM(TotalOrders) FOR Name IN (
        [Yesterday],
        [This Week],
        [Last Week],
        [This Month]
    )
) AS p1

这会产生以下结果集：

TypeId      YesterdayTotalOrders ThisWeekTotalOrders LastWeekTotalOrders ThisMonthTotalOrders
----------- -------------------- ------------------- ------------------- --------------------
1           10                   8                   8                   10
2           1                    0                   0                   5

现在，我需要为GrandTotal 提供一些其他列，例如YesterdayGrandTotal、ThisWeekGrandTotal 等等，但我不知道如何实现这一点。

任何帮助将不胜感激。

更新#1：这是预期的结果集：

TypeId      YesterdayTotalOrders ThisWeekTotalOrders LastWeekTotalOrders ThisMonthTotalOrders YesterdayGrandTotal   ThisWeekGrandTotal    LastWeekGrandTotal    ThisMonthGrandTotal
----------- -------------------- ------------------- ------------------- -------------------- --------------------- --------------------- --------------------- ---------------------
1           10                   8                   8                   10                   1.00                  3.00                  12.00                 1.00
2           1                    0                   0                   5                    5.00                  0.00                  0.00                  7.00

Answer 1

条件聚合可能是一个解决方案：

select typeID,
    SUM(case when name = 'Yesterday' then totalOrders else 0 end) as YesterdayTotalOrders,
    SUM(case when name = 'This Week' then totalOrders else 0 end) as ThisWeekTotalOrders,
    SUM(case when name = 'Last Week' then totalOrders else 0 end) as LastWeekTotalOrders,
    SUM(case when name = 'This Month' then totalOrders else 0 end) as ThisMonthTotalOrders,
    SUM(case when name = 'Yesterday' then GrandTotal else 0 end) as YesterdayGrandTotal,
    SUM(case when name = 'This Week' then GrandTotal else 0 end) as ThisWeekGrandTotal,
    SUM(case when name = 'Last Week' then GrandTotal else 0 end) as LastWeekGrandTotal,
    SUM(case when name = 'This Month' then GrandTotal else 0 end) as ThisMonthGrandTotal    
from @table
group by typeID

或者，您可以像这样使用CROSS APPLY 和PIVOT

SELECT
    TypeId,
    ISNULL([Yesterday], 0) AS YesterdayTotalOrders,
    ISNULL([This Week], 0) AS ThisWeekTotalOrders,
    ISNULL([Last Week], 0) AS LastWeekTotalOrders,
    ISNULL([This Month], 0) AS ThisMonthTotalOrders,
    ISNULL([grant Yesterday], 0) AS YesterdayGrandTotal,
    ISNULL([grant This Week], 0) AS ThisWeekGrandTotal,
    ISNULL([grant Last Week], 0) AS LastWeekGrandTotal,
    ISNULL([grant This Month], 0) AS ThisMonthGrandTotal
FROM
    (
      SELECT t.* 
      FROM @Table
      CROSS APPLY (values(Name, TypeId, TotalOrders),
                     ('grant ' + Name, TypeId, GrandTotal)) 
                     t(Name, TypeId, TotalOrders)
    ) AS src
PIVOT (
    SUM(TotalOrders) FOR Name IN (
        [Yesterday],
        [This Week],
        [Last Week],
        [This Month],
        [grant Yesterday],
        [grant This Week],
        [grant Last Week],
        [grant This Month]
    )
) AS p1

demo

两种解决方案都只会扫描输入表一次，并且它们的查询计划非常相似。这两种解决方案都优于两个枢轴的JOIN（我最初提供的解决方案），因为两个枢轴需要扫描输入表两次。

Answer 2

您还可以使用CTE，将pivots..P1 与TotalOrders 分开，P2 与GrandTotal 分开

;WITH CTE AS 
   (
     SELECT
    P1.TypeId,
    ISNULL(P1.[Yesterday], 0) AS YesterdayTotalOrders,
    ISNULL(P1.[This Week], 0) AS ThisWeekTotalOrders,
    ISNULL(P1.[Last Week], 0) AS LastWeekTotalOrders,
    ISNULL(P1.[This Month], 0) AS ThisMonthTotalOrders
FROM
    (SELECT Name, TypeId, TotalOrders FROM @Table) AS src
PIVOT (SUM(TotalOrders) FOR src.Name IN (
        [Yesterday],
        [This Week],
        [Last Week],
        [This Month])) AS P1
   ), CTE1 AS 
   (

SELECT
    P1.TypeId,
    ISNULL(P1.[Yesterday], 0) AS YesterdayGrandTotal,
    ISNULL(P1.[This Week], 0) AS ThisWeekTGrandTotal,
    ISNULL(P1.[Last Week], 0) AS LastWeekGrandTotal,
    ISNULL(P1.[This Month], 0) AS ThisMonthGrandTotal
FROM
    (SELECT Name, TypeId, GrandTotal FROM @Table) AS src
PIVOT (SUM(GrandTotal) FOR src.Name IN (
        [Yesterday],
        [This Week],
        [Last Week],
        [This Month])) AS P1 
       )

       SELECT C.TypeId  ,    C.YesterdayTotalOrders, C.ThisWeekTotalOrders, C.LastWeekTotalOrders, C.ThisMonthTotalOrders , C1.YesterdayGrandTotal  , C1.ThisWeekTGrandTotal ,C1.LastWeekGrandTotal , C1.ThisMonthGrandTotal FROM CTE C 
       INNER JOIN CTE1 C1 ON C1.TypeId = C.TypeId

结果：

TypeId      YesterdayTotalOrders ThisWeekTotalOrders LastWeekTotalOrders ThisMonthTotalOrders YesterdayGrandTotal   ThisWeekGrandTotal    LastWeekGrandTotal    ThisMonthGrandTotal
----------- -------------------- ------------------- ------------------- -------------------- --------------------- --------------------- --------------------- ---------------------
1           10                   8                   8                   10                   1.00                  3.00                  12.00                 1.00
2           1                    0                   0                   5                    5.00                  0.00                  0.00                  7.00

Answer 3

在 oracle 中，我会做类似 tihs 的事情。对我来说很好用

select * from (
SELECT   Name, TypeId,TotalOrders
--hier
,GrandTotal 
FROM test_b )
PIVOT (  SUM(TotalOrders)TotalOrders, 
--hier
SUM(grandtotal) grandtotal FOR Name IN 
('Yesterday'Yesterday,'This Week'ThisWeek,'Last Week'LastWeek,'This 
Month'ThisMonth )
) ;

所以在 sql server 中试试这个

SELECT *
   /* TypeId,
    ISNULL([Yesterday], 0) AS YesterdayTotalOrders,
    ISNULL([This Week], 0) AS ThisWeekTotalOrders,
   ISNULL([Last Week], 0) AS LastWeekTotalOrders,
   ISNULL([This Month], 0) AS ThisMonthTotalOrders*/
FROM
   (SELECT Name, TypeId, TotalOrders
   ,grandtotal 
  FROM @Table) AS src
PIVOT (
    SUM(TotalOrders)TotalOrders, SUM(grandtotal)grandtotal FOR Name IN (
    [Yesterday]Yesterday,
    [This Week]ThisWeek,
    [Last Week]LastWeek,
    [This Month]ThisMonth
   )
 ) AS p1