For SQL Server2008:
http://www.microsoft.com/downloads/details.aspx?FamilyID=0e6168b0-2d0c-4076-96c2-60bd25294a8e&displaylang=en
For SQL Server2005:
http://www.microsoft.com/downloads/details.aspx?familyid=C6F14640-DA22-4604-AAAA-A45DE4A0CD4A&displaylang=en ......

For SQL Server2008:
http://www.microsoft.com/downloads/details.aspx?FamilyID=0e6168b0-2d0c-4076-96c2-60bd25294a8e&displaylang=en
For SQL Server2005:
http://www.microsoft.com/downloads/details.aspx?familyid=C6F14640-DA22-4604-AAAA-A45DE4A0CD4A&displaylang=en ......

总用户表:select count(*) 总表数 from sysobjects where xtype='u'
总用户表和系统表:select count(*) 总表数 from sysobjects where xtype in('u','s')
总视图数:select count(*) 总视图数 from sysobjects where xtype='v'
总存储过程数:select count(*) 总存储过程数 from sysobjects where xtype='p'
总触发器数:select count(*) 总触发器数 from sysobjects where xtype='tr'
关于SQL Server数据库的一切信息都保存在它的系统表格里。我怀疑你是否花过比较多的时间来检查系统表格，因为你总是忙于用户表格。但是，你可能需要偶尔做一点不同寻常的事，例如数据库所有的触发器。你可以一个一个地检查表格，但是如果你有500个表格的话，这可能会消耗相当大的人工。
这就让Sysobjects表格有了用武之地。虽然我不建议你更新这个表格，但是你当然有权对其进行审查。
在大多数情况下，对你最有用的两个列是Sysobjects.name和Sysobjects.xtype。前面一个用来列出待考察对象的名字，而后一个用来定义对象的类型
type 类型枚举值如下：
AF = 聚合函数(CLR)
C = 检查约束
D = 默认值或 DEFAULT 约束
F = FOREIGN KEY 约束
PK = PRIMARY KEY 约束（类型是 K）
P = S ......

--结合sys.indexes和sys.index_columns,sys.objects,sys.columns查询索引所属的表或视图的信息
select
  o.name as 表名,
  i.name as 索引名,
  c.name as 列名,
  i.type_desc as 类型描述,
  is_primary_key as 主键约束,
  is_unique_constraint as 唯一约束,
  is_disabled as 禁用
from
  sys.objects o
inner join
  sys.indexes i
on
  i.object_id=o.object_id
inner join
  sys.index_columns ic
on
  ic.index_id=i.index_id and ic.object_id=i.object_id
inner join
  sys.columns c
on
  ic.column_id=c.column_id and ic.object_id=c.object_id
go
--查询索引的键和列信息
select
  o.name as 表名,
  i.name as 索引名,
  c.name as 字段编号,
from
  sysindexes i inner join sysobjects o
on
  i.id=o.id
inner join
  sysindexkeys k
on
  o.id=k.id and i.indid=k.indid
inner join
  syscolumns c
on
  c.id=i.id and k.colid=c.colid
where
  o.name='表名'
--查询数据库 ......

选择自 CSDN
SQL语句导入导出大全
/*******  导出到excel
EXEC master..xp_cmdshell 'bcp SettleDB.dbo.shanghu out c:\temp1.xls -c -q -S"GNETDATA/GNETDATA" -U"sa" -P""'
/***********  导入Excel
SELECT *
from OpenDataSource( 'Microsoft.Jet.OLEDB.4.0',
  'Data Source="c:\test.xls";User ID=Admin;Password=;Extended properties=Excel 5.0')...xactions
SELECT cast(cast(科目编号 as numeric(10,2)) as nvarchar(255))+'　' 转换后的别名
from OpenDataSource( 'Microsoft.Jet.OLEDB.4.0',
  'Data Source="c:\test.xls";User ID=Admin;Password=;Extended properties=Excel 5.0')...xactions
/** 导入文本文件
EXEC master..xp_cmdshell 'bcp "dbname..tablename" in c:\DT.txt -c -Sservername -Usa -Ppassword'
/** 导出文本文件
EXEC master..xp_cmdshell 'bcp "dbname..tablename" out c:\DT.txt -c -Sservername -Usa -Ppassword'
或
EXEC master..xp_cmdshell 'bcp "Select * from dbname..tablename" queryout c:\DT.txt -c -Sservername -Usa -Ppassword'
导出到TXT文本，用逗号分开
exe ......

SQL SERVER的分类汇总
SQL SERVER中使用GROUP BY对数据进行分类汇总，我们也可以使用WITH ROLLUP和WITH CUBE配合GROUP BY进行“增强”了的分类汇总，那么他们两个是如何增强GROUP BY的汇总能力的呢？
一.功能增强
1.使用WITH ROLLUP
用下面的例子说明,GROUP使用了3个分组字段：GROUP BY A, B, C WITH ROLLUP就相当于
GROUP BY A, B, C UNION ALL
GROUP BY A, B    UNION ALL
GROUP BY A       UNION ALL
GROUP BY NULL
2.使用WITH CUBE
用下面的例子说明，GROUP使用了3个分组字段：GROUP BY A, B, C WITH CUBE就相当于
GROUP BY A, B, C UNION ALL
GROUP BY A, B    UNION ALL
GROUP BY A, C    UNION ALL
GROUP BY B, C    UNION ALL
GROUP BY A       UNION ALL
GROUP BY B       UNION ALL
GROUP BY C       UNION ALL
GROUP BY NULL  
二.说明：
1.WITH ROLLUP和CUBE可以使用HAVING和GROUPING对产生的汇总行进行再次过滤。
2.GROUP ......

SQL Server的行列转换功能非常实用，但是由于其语法不好懂，使很多初学者都不愿意使用它。下面我就用示例的形式，逐一展现Pivot和UnPivot的魅力。如下图
 
1.从Wide Table of Months 转换到 Narrow Table的示例
select [Year],[Month],[Sales] from
(
select * from MonthsTable
)p
unpivot
(
[Sales] for [Year] in ([2001],[2002],[2003])
)t
order by [Year]
2.从Narrow Table 转换到 Wide Table of Years的示例
select * from
(
select * from NarrowTable
)p
pivot
(
Sum(Sales) for [Month] in ([Jan],[Feb],[Mar])
)t  
3.从Wide Table of Months 转换到 Wide Table of Years的示例
with d as
(
select [Year],[Month],[Sales] from
(
select * from MonthsTable
)p
unpivot
(
[Sales] for [Year] in ([2001],[2002],[2003])
)t
)
select * from
(
select * from d
)p
pivot
(
Sum(Sales) for [Month] in ([Jan],[Feb],[Mar])
)t  
4.从Wide Table of Years 转换到 Narrow Table的示例
select [Year],[Month],[Sales] from
(
select * from YearTable
)p
unpivot
(
Sales for [Month] in ......