Sqlserver2005 Sqlcmd查看数据库/表/字段的命令

Sqlcmd是sqlserver自带的命令行工具，可以在不打开企业管理器的时候访问本地或者远程的数据库，对数据库进行管理。 Sqlcmd连接数据库：sqlcmd -S 10.78.1.99 -U sa -P sa C:/Users/1232sqlcmd -S 10.78.1.99 -U sa -P sa 1 1.查询数据库 select name from ma

Sqlcmd是sqlserver自带的命令行工具，可以在不打开企业管理器的时候访问本地或者远程的数据库，对数据库进行管理。

Sqlcmd连接数据库：sqlcmd -S 10.78.1.99 -U sa -P sa

C:/Users/1232>sqlcmd -S 10.78.1.99 -U sa -P sa
1>

 

1.查询数据库
select name from master.dbo.sysdatabases

1> select name from master.dbo.sysdatabases
2> go
name
---------------------------------------------------------
master
tempdb
model
msdb
pubs
Northwind
COMMON_SECURITY
FlowEng
LTS
SUNDB
UTL
(11 行受影响)

 

2.查询数据库中的表
select name from sysobjects where xtype='U'

1> use master
2> go
已将数据库上下文改为 'master'。
1> select name from sysobjects where xtype='U'
2> go
name
------------------------------------------------------
spt_monitor
spt_values
spt_fallback_db
spt_fallback_dev
spt_fallback_usg
dtproperties
spt_provider_types
aofax_send_task
aofax_recv_task
FAXRECV
Pboc
spt_datatype_info_ext
MSreplication_options
spt_datatype_info
spt_server_info

(15 行受影响)

3.查询表中的列
select c.name,c.length from syscolumns c inner join sysobjects t on c.id = t.id and t.name='spt_monitor'

1> select c.name,c.length from syscolumns c inner join sysobjects t on c.id = t.id and t.name='spt_monitor'
2> go
name                                                                                                                             length
-------------------------------------------------------------------------------------------------------------------------------- ------
lastrun                                                                                                                               8
cpu_busy                                                                                                                              4
io_busy                                                                                                                               4
idle                                                                                                                                  4
pack_received                                                                                                                         4
pack_sent                                                                                                                             4
connections                                                                                                                           4
pack_errors                                                                                                                           4
total_read                                                                                                                            4
total_write                                                                                                                           4
total_errors                                                                                                                          4

(11 行受影响)

 

至于怎么打印出表字段的类型这个可以连查systypes表。