是否可以使用 SQL Server 使用相同的数据透视列来拥有多个数据透视

问题描述 投票:0回答:4

我面临以下挑战。我需要在同一列上旋转表数据两次。 这是数据截图。

A list of items with a purchasing and a selling value for each year the items were sold

我希望每个项目 ID 各占一行,其中包含每年的购买价值和销售价值。 我尝试通过选择“年份”列两次,对其进行一些格式化,以便每个销售年份都以“S”为前缀,每个购买年份以“P”开头,并使用 2 个枢轴围绕 2 年列旋转。这是 SQL 查询(在 SQL Server 2008 中使用):

SELECT [Item ID], 
        [P2000],[P2001],[P2002],[P2003],
        [S2000],[S2001],[S2002],[S2003]
FROM 
(

SELECT [Item ID]
      ,'P' + [Year] AS YearOfPurchase
      ,'S' + [Year] AS YearOfSelling

  ,[Purchasing value]
  ,[Selling value]
  FROM [ItemPrices]
) AS ALIAS

PIVOT 
(
MIN ([Purchasing value]) FOR [YearOfPurchase] in ([P2000],[P2001],[P2002],[P2003])
)
AS pvt

PIVOT 
(
MIN ([Selling value]) FOR [YearOfSelling] in ([S2000],[S2001],[S2002],[S2003])
)
AS pvt2

结果并不完全是我所希望的(见下图):

Actual situation: Too many rows

如您所见,每个项目 ID 仍然有多于一行。有没有办法将行数减少到每个项目只有一个行数?这样看起来有点像下面的 Excel 截图?

Desired situation: One row for each item ID

sql sql-server pivot unpivot
4个回答
36
投票

我的建议是应用

UNPIVOT
PIVOT
函数来获得结果。

UNPIVOT
会将
PurchasingValue
SellingValue
列变成行。完成此操作后,您就可以将数据转换为结果。

代码为:

select *
from
(
  select itemid, 
    case 
      when col = 'PurchasingValue' then 'P'
      when col = 'SellingValue' then 'S'
    end + cast(year as varchar(4)) new_col,
    value
  from yourtable
  unpivot
  (
    value
    for col in ([PurchasingValue], [SellingValue])
  ) unpiv
) src
pivot
(
  max(value)
  for new_col in (P2000, P2001, P2002, P2003,
                  S2000, S2001, S2002, S2003)
) piv;

请参阅SQL Fiddle with Demo。结果是:

| ITEMID | P2000 | P2001 | P2002 | P2003 | S2000 | S2001 | S2002 | S2003 |
--------------------------------------------------------------------------
|      1 |  1000 |  1100 |  1200 |  1300 |   900 |   990 |  1080 |  1170 |
|      2 |   500 |   550 |   600 |   650 |   450 |   495 |   540 |   585 |

在 SQL Server 2008+ 中,您可以将

CROSS APPLY
VALUES
以及
PIVOT
函数一起使用:

select *
from
(
  select itemid,
    col+cast(year as varchar(4)) new_col,
    value
  from yourtable
  cross apply
  (
    VALUES
        (PurchasingValue, 'P'),
        (SellingValue, 'S')
   ) x (value, col)
) src
pivot
(
  max(value)
  for new_col in (P2000, P2001, P2002, P2003,
                  S2000, S2001, S2002, S2003)
) piv

参见 SQL Fiddle 演示


11
投票

旋转多个列的一种简单方法是仅使用聚合(Case)表达式。

SELECT  [Item ID],
        [P2000] = SUM(CASE WHEN [Year] = 2000 THEN [Purchasing value] END),
        [P2001] = SUM(CASE WHEN [Year] = 2001 THEN [Purchasing value] END),
        [P2002] = SUM(CASE WHEN [Year] = 2002 THEN [Purchasing value] END),
        [P2003] = SUM(CASE WHEN [Year] = 2003 THEN [Purchasing value] END),
        [S2000] = SUM(CASE WHEN [Year] = 2000 THEN [Selling value] END),
        [S2001] = SUM(CASE WHEN [Year] = 2001 THEN [Selling value] END),
        [S2002] = SUM(CASE WHEN [Year] = 2002 THEN [Selling value] END),
        [S2003] = SUM(CASE WHEN [Year] = 2003 THEN [Selling value] END)
FROM    ItemPrices
GROUP BY [Item ID]

5
投票

使用 GROUP BY ItemID,并对每个结果列使用聚合函数 SUM(isnull(value,0))。


0
投票

我通过旋转已经旋转的数据集(基本上旋转两次)实现了类似的效果,然后按必要的属性进行分组以获得我之后的结果。仍然可以在几秒钟内执行数千行。

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