如何在 SQL 中简单地切换列与行?有没有简单的转置命令?
How do I simply switch columns with rows in SQL? Is there any simple command to transpose?
即转这个结果:
Paul | John | Tim | Eric
Red 1 5 1 3
Green 8 4 3 5
Blue 2 2 9 1
进入这个:
Red | Green | Blue
Paul 1 8 2
John 5 4 2
Tim 1 3 9
Eric 3 5 1
PIVOT
对于这个场景来说似乎太复杂了.
PIVOT
seems too complex for this scenario.
有多种方法可以转换此数据.在您的原始帖子中,您表示 PIVOT
对于这种情况来说似乎太复杂了,但是使用 UNPIVOT
和 PIVOT
函数服务器.
There are several ways that you can transform this data. In your original post, you stated that PIVOT
seems too complex for this scenario, but it can be applied very easily using both the UNPIVOT
and PIVOT
functions in SQL Server.
但是,如果您无权访问这些函数,则可以使用 UNION ALL
复制到 UNPIVOT
,然后使用带有 CASE的聚合函数code> 语句到
PIVOT
:
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 的项目列表代码>.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.
The dynamic version queries both yourtable
and then the sys.columns
table to generate the list of items to UNPIVOT
and PIVOT
. This is then added to a query string to be executed. The plus of the dynamic version is if you have a changing list of colors
and/or names
this will generate the list at run-time.
所有三个查询都会产生相同的结果:
All three queries will produce the same result:
| NAME | RED | GREEN | BLUE |
-----------------------------
| Eric | 3 | 5 | 1 |
| John | 5 | 4 | 2 |
| Paul | 1 | 8 | 2 |
| Tim | 1 | 3 | 9 |
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