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DECLARE @sql_str NVARCHAR(MAX)
DECLARE @sql_col 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'
--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+'] 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+']) p PIVOT
(SUM(['+@row2columnValue+']) FOR ['+@row2column+'] IN ( '+ @sql_col +') ) AS pvt
ORDER BY pvt.['+@groupColumn+']'
--PRINT (@sql_str)
EXEC (@sql_str)
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(七) 在实际的运用中，我经常遇到需要对基础表的数据进行筛选后再进行行转列，那么下面的脚本将满足你这个需求，效果如图6所示：
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--6：带条件查询的参数化动态PIVOT行转列
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-- =============================================
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-- Author: <听风吹雨>
-- Create date: <2014.05.26>
-- Description: <参数化动态PIVOT行转列，带条件查询的参数化动态PIVOT行转列>
-- Blog:
-- =============================================
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)
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