SQL Server 2008 R2——使用FULL OUTER JOIN实现多表信息汇总
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本文链接：http://www.cnblogs.com/wlsandwho/p/5071967.html
耻辱墙：http://www.cnblogs.com/wlsandwho/p/4206472.html
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没啥说的，鄙视那些无视版权随意抓取博文的爬虫小网站站长，圣诞了，祝你们见到上帝。
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“为什么会写这么一些无聊又浅显的小博客呢？”
“因为这些都是我在企鹅群里回答的问题呀。把有代表性的写出来、记录一下，以后再遇到这些问题就不用回答了。多省事呀。”
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上问题。
看起来是年底了，要把不同的表里的数据进行汇总。可以猜测下是出库和入库的两个表，或者其他类似双生的东西。
既然事主敢打包票说不重复而且一一对应，那就按最简单的方法来吧。
事主没有提供主键，下文代码中的主键是我自己加的。
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--by WLS
--
--网络代码有风险复制粘贴须谨慎
USE tempdb
GO IF OBJECT_ID (N't_AbyWLS', N'U') IS NOT NULL
DROP TABLE t_AbyWLS;
CREATE TABLE t_AbyWLS(id INTEGER PRIMARY KEY,MC NVARCHAR(5),S1 INTEGER)
GO IF OBJECT_ID (N't_BbyWLS', N'U') IS NOT NULL
DROP TABLE t_BbyWLS;
CREATE TABLE t_BbyWLS(id INTEGER PRIMARY KEY,MC NVARCHAR(5),S2 INTEGER)
GO GO INSERT INTO t_AbyWLS
SELECT 1,'A',23
UNION
SELECT 2,'B',34
UNION
SELECT 3,'C',56
GO INSERT INTO t_BbyWLS
SELECT 1,'A',11
UNION
SELECT 2,'B',12
UNION
SELECT 3,'C',13
UNION
SELECT 4,'D',NULL
UNION
SELECT 5,'E',14
GO SELECT * FROM t_AbyWLS
GO SELECT * FROM t_BbyWLS
GO SELECT a.id AS f1,a.mc AS f2,a.s1 AS f3,b.id AS f4,b.mc AS f5,b.s2 AS f6 FROM t_AbyWLS a FULL JOIN t_BbyWLS b ON a.id=b.id
GO WITH TempFull
AS
(
SELECT a.id AS f1,a.mc AS f2,b.id AS f4,b.mc AS f5,a.s1 AS f3,b.s2 AS f6 FROM t_AbyWLS a FULL JOIN t_BbyWLS b ON a.id=b.id
)
SELECT CASE WHEN f1 IS NULL THEN f4 ELSE f1 END AS A,
CASE WHEN f2 IS NULL THEN f5 ELSE f2 END AS MC,
f3 AS S1,
f6 AS S2
FROM TempFull
GO
没啥说的，基本上就是一个Full Outer Join。
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执行效果
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" alt="" />
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