However, if you do not have access to those functions this can be replicated using UNION ALL to UNPIVOT and then an aggregate function with a CASE statement to PIVOT:

创建表:

CREATE TABLE yourTable([color] varchar(5), [Paul] int, [John] int, [Tim] int, [Eric] int);

INSERT INTO yourTable
    ([color], [Paul], [John], [Tim], [Eric])
VALUES
    ('Red', 1, 5, 1, 3),
    ('Green', 8, 4, 3, 5),
    ('Blue', 2, 2, 9, 1);

Union All、Aggregate 和 CASE 版本:

select name,
  sum(case when color = 'Red' then value else 0 end) Red,
  sum(case when color = 'Green' then value else 0 end) Green,
  sum(case when color = 'Blue' then value else 0 end) Blue
from
(
  select color, Paul value, 'Paul' name
  from yourTable
  union all
  select color, John value, 'John' name
  from yourTable
  union all
  select color, Tim value, 'Tim' name
  from yourTable
  union all
  select color, Eric value, 'Eric' name
  from yourTable
) src
group by name

参见SQL Fiddle with Demo

UNION ALL 通过将列 Paul、John、Tim、Eric 转换为单独的行来执行数据的 UNPIVOT.然后应用聚合函数 sum() 和 case 语句来获取每个 color 的新列.

The UNION ALL performs the UNPIVOT of the data by transforming the columns Paul, John, Tim, Eric into separate rows. Then you apply the aggregate function sum() with the case statement to get the new columns for each color.

Unpivot 和 Pivot 静态版本:

SQL Server 中的 UNPIVOT 和 PIVOT 函数使这种转换变得更加容易.如果您知道要转换的所有值，则可以将它们硬编码为静态版本以获得结果:

Both the UNPIVOT and PIVOT functions in SQL server make this transformation much easier. If you know all of the values that you want to transform, you can hard-code them into a static version to get the result:

select name, [Red], [Green], [Blue]
from
(
  select color, name, value
  from yourtable
  unpivot
  (
    value for name in (Paul, John, Tim, Eric)
  ) unpiv
) src
pivot
(
  sum(value)
  for color in ([Red], [Green], [Blue])
) piv

参见SQL Fiddle with Demo

带有UNPIVOT 的内部查询执行与UNION ALL 相同的功能.它获取列列表并将其转换为行，PIVOT 然后执行最终转换为列.

The inner query with the UNPIVOT performs the same function as the UNION ALL. It takes the list of columns and turns it into rows, the PIVOT then performs the final transformation into columns.

动态枢轴版本:

如果您有未知数量的列(在您的示例中为Paul、John、Tim、Eric)，然后有未知数量的颜色进行转换，您可以使用动态 sql 将列表生成为 UNPIVOT 然后 PIVOT:

If you have an unknown number of columns (Paul, John, Tim, Eric in your example) and then an unknown number of colors to transform you can use dynamic sql to generate the list to UNPIVOT and then PIVOT:

DECLARE @colsUnpivot AS NVARCHAR(MAX),
    @query  AS NVARCHAR(MAX),
    @colsPivot as  NVARCHAR(MAX)

select @colsUnpivot = stuff((select ','+quotename(C.name)
         from sys.columns as C
         where C.object_id = object_id('yourtable') and
               C.name <> 'color'
         for xml path('')), 1, 1, '')

select @colsPivot = STUFF((SELECT  ',' 
                      + quotename(color)
                    from yourtable t
            FOR XML PATH(''), TYPE
            ).value('.', 'NVARCHAR(MAX)') 
        ,1,1,'')


set @query 
  = 'select name, '+@colsPivot+'
      from
      (
        select color, name, value
        from yourtable
        unpivot
        (
          value for name in ('+@colsUnpivot+')
        ) unpiv
      ) src
      pivot
      (
        sum(value)
        for color in ('+@colsPivot+')
      ) piv'

exec(@query)

参见SQL Fiddle with Demo

动态版本查询yourtable 和sys.columns 表以生成UNPIVOT 和PIVOT 的项目列表.然后将其添加到要执行的查询字符串中.动态版本的优点是，如果您有 colors 和/或 names 的变化列表，这将在运行时生成列表.

| NAME | RED | GREEN | BLUE |
-----------------------------
| Eric |   3 |     5 |    1 |
| John |   5 |     4 |    2 |
| Paul |   1 |     8 |    2 |
|  Tim |   1 |     3 |    9 |