1． 判断a表中有而b表中没有的记录
select a.* from tbl1 a
left join tbl2 b
on a.key = b.key
where b.key is null
虽然使用in也可以实现，但是这种方法的效率更高一些
2． 新建一个与某个表相同结构的表
select * into b
from a where 1<>1
3．between的用法,between限制查询数据范围时包括了边界值,not between不包括
select * from table1 where time between time1 and time2
select a,b,c, from table1 where a not between 数值1 and 数值2
4. 说明：包括所有在 TableA 中但不在 TableB和TableC 中的行并消除所有重复行而派生出一个结果表
(select a from tableA ) except (select a from tableB) except (select a from tableC)
5. 初始化表，可以将自增长表的字增长字段置为1
TRUNCATE TABLE table1
6．多语言设置数据库或者表或者order by的排序规则
--修改用户数据库的排序规则
ater database dbname collate SQL_Latin1_General_CP1_CI_AS
--修改字段的排序规则
alter table a alter column c2 varchar(50) collate SQL_Latin1_General_CP1_CI_AS
--按姓氏笔画排序
select * from 表名 order by 列名 Collate Chinese_PRC_Stroke_ci_as
--按拼音首字母排序
select * from 表名 order by 列名 Collate Chinese_PRC_CS_AS_KS_WS
7．列出所有的用户数据表：
SELECT TOP 100 PERCENT o.name AS 表名
FROM dbo.syscolumns c INNER JOIN
dbo.sysobjects o ON o.id = c.id AND objectproperty(o.id, N'IsUserTable') = 1 AND
o.name <> 'dtproperties' LEFT OUTER JOIN
dbo.sysproperties m ON m.id = o.id AND m.smallid = c.colorder
WHERE (c.colid = 1)
ORDER BY o.name, c.colid
8．列出所有的用户数据表及其字段信息：
SELECT TOP 100 PERCENT c.colid AS 序号, o.name AS 表名, c.name AS 列名,
t.name AS 类型, c.length AS 长度, c.isnullable AS 允许空,
CAST(m.[value] AS Varchar(100)) AS 说明
FROM dbo.syscolumns c INNER JOIN
dbo.sysobjects o ON o.id = c.id AND objectproperty(o.id, N'IsUserTable') = 1 AND
o.name <> 'dtproperties' INNER JOIN
dbo.systypes t ON t.xusertype = c.xusertype LEFT OUTER JOIN
dbo.sysproperties m ON m.id = o.id AND m.smallid = c.colorder
ORDER BY o.name, c.colid
9．Left，right Join的另外一种简洁的写法
select * from a,b where a.id *= b.id --（*= 相当于 LEFT JOIN）
select * from a,b where a.id =* b.id --（=* 相当于 Right JOIN）
11．得到表中最小的未使用的ID号
SELECT (CASE WHEN EXISTS(SELECT * FROM Handle b WHERE b.HandleID = 1)
THEN MIN(HandleID) + 1 ELSE 1 END) as HandleID
FROM Handle
WHERE NOT HandleID IN (SELECT a.HandleID - 1 FROM Handle a)
12．随机取得记录
SELECT TOP 10 * FROM T1 ORDER BY NEWID()
转载自：http://www.cnblogs.com/yukaizhao/archive/2007/03/27/essential_sql.html