SQL SERVER 行转列 (转载)

 

(1)首先创建测试表

IF  EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[dbo].[TestRows2Columns]') AND type in (N'U'))
DROP TABLE [dbo].[TestRows2Columns]
GO
CREATE TABLE [dbo].[TestRows2Columns](
    [Id] [int] IDENTITY(1,1) NOT NULL,
    [UserName] [nvarchar](50) NULL,
    [Subject] [nvarchar](50) NULL,
    [Source] [numeric](18, 0) NULL
) ON [PRIMARY]
GO

--插入测试数据
INSERT INTO [TestRows2Columns] ([UserName],[Subject],[Source]) 
    SELECT N'张三',N'语文',60  UNION ALL
    SELECT N'李四',N'数学',70  UNION ALL
    SELECT N'王五',N'英语',80  UNION ALL
    SELECT N'王五',N'数学',75  UNION ALL
    SELECT N'王五',N'语文',57  UNION ALL
    SELECT N'李四',N'语文',80  UNION ALL
    SELECT N'张三',N'英语',100
GO

(2)静态行转列 

select username ,
MAX(case SubJect when '语文' then source else 0 end ) as '语文',
MAX(case SubJect when '数学' then source else 0 end ) as '数学',
MAX(case SubJect when '英语' then source else 0 end ) as '英语'

from [TestRows2Columns] group by username

结果:

 

(3)QUOTENAME() 函数主要是确保参数成为有效的标识符,比如下面Subject的值如果是:数学 洒水,中间存在空格,这时候就会出现异常,所以使用QUOTENAME就会
将其变为有效标识符

DECLARE @sql VARCHAR(8000)
SET @sql = 'SELECT [UserName],'   
SELECT @sql = @sql + 'SUM(CASE [Subject] WHEN '''+[Subject]+''' THEN [Source] ELSE 0 END) AS '''+QUOTENAME([Subject])+''','   
FROM (SELECT DISTINCT [Subject] FROM [TestRows2Columns]) AS a  
 
SELECT @sql = LEFT(@sql,LEN(@sql)-1) + ' FROM [TestRows2Columns] GROUP BY [UserName]'   
PRINT(@sql) --可以打印出来看看具体SQL
EXEC(@sql)  --执行
GO

 

 (4)还可以使用PIVOT关系运算符来进行行转列  静态

SELECT  *
FROM    ( SELECT    [UserName] ,
                    [Subject] ,
                    [Source]
          FROM      [TestRows2Columns]
        ) p PIVOT
( SUM([Source]) FOR [Subject] IN ( [数学],[英语],[语文] ) ) AS pvt
ORDER BY pvt.[UserName];
GO

(5)动态行转列

 

DECLARE @sql_str VARCHAR(8000)
DECLARE @sql_col VARCHAR(8000)
SELECT @sql_col = ISNULL(@sql_col+',','') + QUOTENAME([Subject]) FROM [TestRows2Columns] GROUP BY [Subject]  
SET @sql_str = '
SELECT * FROM (
    SELECT [UserName],[Subject],[Source] FROM [TestRows2Columns]) p PIVOT 
    (SUM([Source]) FOR [Subject] IN ( '+ @sql_col +') ) AS pvt 
ORDER BY pvt.[UserName]'
PRINT (@sql_str)
EXEC (@sql_str)

 

(6)带条件查询的参数化动态PIVOT行转列

DECLARE @sql_str NVARCHAR(MAX)
DECLARE @sql_col NVARCHAR(MAX)
DECLARE @sql_where NVARCHAR(MAX)
DECLARE @tableName SYSNAME --行转列表
DECLARE @groupColumn SYSNAME --分组字段
DECLARE @row2column SYSNAME --行变列的字段
DECLARE @row2columnValue SYSNAME --行变列值的字段
SET @tableName = 'TestRows2Columns'
SET @groupColumn = 'UserName'
SET @row2column = 'Subject'
SET @row2columnValue = 'Source'
SET @sql_where = 'WHERE UserName = ''王五''' 
--从行数据中获取可能存在的列
SET @sql_str = N'
SELECT @sql_col_out = ISNULL(@sql_col_out + '','','''') + QUOTENAME(['+@row2column+']) 
    FROM ['+@tableName+'] '+@sql_where+' GROUP BY ['+@row2column+']'
--PRINT @sql_str
EXEC sp_executesql @sql_str,N'@sql_col_out NVARCHAR(MAX) OUTPUT',@sql_col_out=@sql_col OUTPUT
--PRINT @sql_col

SET @sql_str = N'
SELECT * FROM (
    SELECT ['+@groupColumn+'],['+@row2column+'],['+@row2columnValue+'] FROM ['+@tableName+']'+@sql_where+') p PIVOT 
    (SUM(['+@row2columnValue+']) FOR ['+@row2column+'] IN ( '+ @sql_col +') ) AS pvt 
ORDER BY pvt.['+@groupColumn+']'
--PRINT (@sql_str)
EXEC (@sql_str)

 

posted @ 2021-07-06 18:09  安静点--  阅读(1007)  评论(0编辑  收藏  举报