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)。

--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

行转列-静态方案:

--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

行转列-动态方案:加入了xml处理和SQL注入预防判断

--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

列转行:

--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;

最新文章

  1. 介绍DSA数字签名,非对称加密的另一种实现
  2. ApplicationContext更强的功能-学习笔记
  3. PHP微信支付开发实例
  4. android笔记:ViewPager实现界面的滑动
  5. 2014.7.12 敏捷个人奥森健步走&敏友分享会.活动报道
  6. codeforces A. Table 解题报告
  7. iOS  Emoji表情编码/解码
  8. Codeforces Round #266 (Div. 2) D
  9. maven 多套环境 配置(开发、测试、预发、正式)
  10. javascript第八课匿名函数的使用
  11. installation - How to install Synaptic Package Manager? - Ask Ubuntu
  12. [置顶] 浅谈Android的资源编译过程
  13. python的面向对象和面向过程
  14. ODI基于源表时间戳字段获取增量数据
  15. 运维案例 | Exchange2010数据库损坏的紧急修复思路
  16. rsync同步目录
  17. ZJOI2019爆蛋记
  18. C#写的window服务内存溢出
  19. 关于Java_Web连接Oracle数据库
  20. Windows 内核漏洞学习—空指针解引用

热门文章

  1. Jmeter之随机变量元件与用户自定义变量元件区别及使用
  2. YonBuilder移动开发平台功能大盘点
  3. 如何使用 Blackbox Exporter 监控 URL?
  4. [编程基础] Python装饰器入门总结
  5. S2-009 CVE-2011-3923
  6. Zabbix与乐维监控对比分析(八)——其他功能篇
  7. Python导入Excel表格数据并以字典dict格式保存
  8. ionic+vue+capacitor系列笔记--01项目初始化
  9. 电脑微信小程序抓包
  10. windows消息处理机制