行列互转,是一个经常遇到的需求。实现的方法,有case when方式和2005之后的内置pivot和unpivot方法来实现。
在读了技术内幕那一节后,虽说这些解决方案早就用过了,却没有系统性的认识和总结过。为了加深认识,再总结一次。
行列互转,可以分为静态互转,即事先就知道要处理多少行(列);动态互转,事先不知道处理多少行(列)。
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--创建测试环境
USE tempdb;
GO
IF OBJECT_ID( 'dbo.Orders' ) IS NOT NULL
DROP TABLE dbo.Orders;
GO
CREATE TABLE dbo.Orders
(
orderid int NOT NULL PRIMARY KEY NONCLUSTERED,
orderdate datetime NOT NULL ,
empid int NOT NULL ,
custid varchar (5) NOT NULL ,
qty int NOT NULL
);
CREATE UNIQUE CLUSTERED INDEX idx_orderdate_orderid
ON dbo.Orders(orderdate, orderid);
INSERT INTO dbo.Orders(orderid, orderdate, empid, custid, qty)
VALUES (30001, '20020802' , 3, 'A' , 10);
INSERT INTO dbo.Orders(orderid, orderdate, empid, custid, qty)
VALUES (10001, '20021224' , 1, 'A' , 12);
INSERT INTO dbo.Orders(orderid, orderdate, empid, custid, qty)
VALUES (10005, '20021224' , 1, 'B' , 20);
INSERT INTO dbo.Orders(orderid, orderdate, empid, custid, qty)
VALUES (40001, '20030109' , 4, 'A' , 40);
INSERT INTO dbo.Orders(orderid, orderdate, empid, custid, qty)
VALUES (10006, '20030118' , 1, 'C' , 14);
INSERT INTO dbo.Orders(orderid, orderdate, empid, custid, qty)
VALUES (20001, '20030212' , 2, 'B' , 12);
INSERT INTO dbo.Orders(orderid, orderdate, empid, custid, qty)
VALUES (40005, '20040212' , 4, 'A' , 10);
INSERT INTO dbo.Orders(orderid, orderdate, empid, custid, qty)
VALUES (20002, '20040216' , 2, 'C' , 20);
INSERT INTO dbo.Orders(orderid, orderdate, empid, custid, qty)
VALUES (30003, '20040418' , 3, 'B' , 15);
INSERT INTO dbo.Orders(orderid, orderdate, empid, custid, qty)
VALUES (30004, '20020418' , 3, 'C' , 22);
INSERT INTO dbo.Orders(orderid, orderdate, empid, custid, qty)
VALUES (30007, '20020907' , 3, 'D' , 30);
GO
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行转列-静态方案:
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--行转列的静态方案一:CASE WHEN,兼容sql2000
select custid,
sum ( case when YEAR (orderdate)=2002 then qty end ) as [2002],
sum ( case when YEAR (orderdate)=2003 then qty end ) as [2003],
sum ( case when YEAR (orderdate)=2004 then qty end ) as [2004]
from orders
group by custid;
GO
--行转列的静态方案二:PIVOT,sql2005及以后版本
select *
from ( select custid, YEAR (orderdate) as years,qty from orders) as ord
pivot( sum (qty) for years in ([2002],[2003],[2004])) as p
GO
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行转列-动态方案:加入了xml处理和SQL注入预防判断
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--既然是用到了动态SQL,就有一个老话题:SQL注入。建一个注入性字符的判断函数。
CREATE FUNCTION [dbo].[fn_CheckSQLInjection]
(
@Col nvarchar(4000)
)
RETURNS BIT --如果存在可能的注入字符返回true,反之返回false
AS
BEGIN
DECLARE @result bit ;
IF
UPPER (@Col) LIKE UPPER (N '%0x%' )
OR UPPER (@Col) LIKE UPPER (N '%;%' )
OR UPPER (@Col) LIKE UPPER (N '%' '%' )
OR UPPER (@Col) LIKE UPPER (N '%--%' )
OR UPPER (@Col) LIKE UPPER (N '%/*%*/%' )
OR UPPER (@Col) LIKE UPPER (N '%EXEC%' )
OR UPPER (@Col) LIKE UPPER (N '%xp_%' )
OR UPPER (@Col) LIKE UPPER (N '%sp_%' )
OR UPPER (@Col) LIKE UPPER (N '%SELECT%' )
OR UPPER (@Col) LIKE UPPER (N '%INSERT%' )
OR UPPER (@Col) LIKE UPPER (N '%UPDATE%' )
OR UPPER (@Col) LIKE UPPER (N '%DELETE%' )
OR UPPER (@Col) LIKE UPPER (N '%TRUNCATE%' )
OR UPPER (@Col) LIKE UPPER (N '%CREATE%' )
OR UPPER (@Col) LIKE UPPER (N '%ALTER%' )
OR UPPER (@Col) LIKE UPPER (N '%DROP%' )
SET @result=1
ELSE
SET @result=0
return @result
END
GO
--行转列的动态方案一:CASE WHEN,兼容sql2000
DECLARE @T TABLE (years INT NOT NULL PRIMARY KEY );
INSERT INTO @T
SELECT DISTINCT YEAR (orderdate) from orders;
DECLARE @Y INT ;
SET @Y=( SELECT MIN (years) from @T);
DECLARE @SQL NVARCHAR(4000)=N '' ;
WHILE @Y IS NOT NULL
BEGIN
SET @SQL=@SQL+N ',sum(case when YEAR(orderdate)=' + CAST (@Y AS NVARCHAR(4)) +N ' then qty end) as ' +QUOTENAME(@Y);
SET @Y=( SELECT MIN (years) from @T where years>@Y);
END
IF dbo.fn_CheckSQLInjection(@SQL)=0
SET @SQL=N 'SELECT custid' +@SQL+N ' FROM orders group by custid'
PRINT @SQL
EXEC sp_executesql @SQL
GO
--行转列的动态方案二:PIVOT,sql2005及以后版本
DECLARE @T TABLE (years INT NOT NULL PRIMARY KEY );
INSERT INTO @T
SELECT DISTINCT YEAR (orderdate) from orders;
DECLARE @Y INT ;
SET @Y=( SELECT MIN (years) from @T);
DECLARE @SQL NVARCHAR(4000)=N '' ;
--这里使用了xml处理来处理类组字符串
SET @SQL=STUFF(( SELECT N ',' +QUOTENAME(years) FROM @T
FOR XML PATH( '' )),1,1,N '' );
IF dbo.fn_CheckSQLInjection(@SQL)=0
SET @SQL=N 'select * from (select DISTINCT custid,YEAR(orderdate) as years,qty from orders) as ord
pivot(sum(qty) for years in(' +@SQL+N '))as p' ;
PRINT @SQL;
EXEC SP_EXECUTESQL @SQL;
GO
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列转行:
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--列转行的静态方案:UNPIVOT,sql2005及以后版本
SELECT * FROM dbo.pvtCustOrders
SELECT custid,years,qty
from dbo.pvtCustOrders
unpivot(qty for years in ([2002],[2003],[2004])) as up
GO
--列转行的动态方案:UNPIVOT,sql2005及以后版本
--因为行是动态所以这里就从INFORMATION_SCHEMA.COLUMNS视图中获取列来构造行,同样也使用了XML处理。
DECLARE @SQL NVARCHAR(4000)=N '' ;
SET @SQL=STUFF(( SELECT N ',' +QUOTENAME(COLUMN_NAME ) FROM INFORMATION_SCHEMA.COLUMNS
WHERE ORDINAL_POSITION>1 AND TABLE_NAME= 'PvtCustOrders'
FOR XML PATH( '' )),1,1,N '' )
SET @SQL=N 'SELECT custid,years,qty
from dbo.pvtCustOrders
unpivot(qty for years in(' +@SQL+ '))as up' ;
PRINT @SQL;
EXEC SP_EXECUTESQL @SQL;
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总结
以上就是本文关于SQL行转列和列转行代码详解的全部内容,希望对大家有所帮助。有什么问题可以随时留言,小编会及时回复大家的。感谢朋友们对服务器之家网站的支持!
原文链接:http://www.cnblogs.com/cpcpc/archive/2013/04/08/3009021.html