SQL Server 数据库部分常用语句小结
1. 查询某存储过程的访问情况
select top 1000 db_name(d.database_id) as dbname, s.name as 存储名字, s.type_desc as 存储类型,
d.cached_time as sp添加到缓存的时间, d.last_execution_time as 上次执行sp的时间,
d.last_elapsed_time as [上次执行sp所用的时间(微秒)], d.total_elapsed_time [完成此sp的执行所用的总时间(微秒)],
d.total_elapsed_time/d.execution_count as [平均执行时间(微秒)], d.execution_count as 自上次编译以来所执行的次数
from sys.procedures s inner join sys.dm_exec_procedure_stats d
on s.object_id = d.object_id where s.name='存储过程的名称' ----请在此处替换要统计的sp
order by d.total_elapsed_time/d.execution_count desc
2. 查询包含关键字(字符串)的存储过程 sp
select distinct o.* from sysobjects o, syscomments s
where o.xtype='p' and s.id=o.id and text like '%关键字%' order by o.name
3. 查询包含关键字(字符串)的job
select * from msdb.dbo.sysjobs
where job_id in(select job_id from msdb.dbo.sysjobsteps where command like '%xxxxxx%' )
4. 查询哪些sql语句占用cpu的频率高
select top 10 [cpu_time],
[session_id],
[request_id],
[start_time] as '开始时间',
[status] as '状态',
[command] as '命令',
dest.[text] as 'sql语句',
db_name([database_id]) as '数据库名',
[blocking_session_id] as '正在阻塞其他会话的会话id',
[wait_type] as '等待资源类型',
[wait_time] as '等待时间',
[wait_resource] as '等待的资源',
[reads] as '物理读次数',
[writes] as '写次数',
[logical_reads] as '逻辑读次数',
[row_count] as '返回结果行数'
from sys.[dm_exec_requests] as der
cross apply
sys.[dm_exec_sql_text](der.[sql_handle]) as dest
where [session_id]>50 and db_name(der.[database_id])='数据库名字' ----请在此处输入要统计的数据库名字
order by [cpu_time] desc
5. db的单用户模式更新成多用户模式
alter database 数据库名字 set multi_user;
6. 查询某表的列的详情
select * from syscolumns where id=object_id('要统计的表') ---请替换
7. 查询当前sql server日志信息
exec xp_readerrorlog 0
其实 xp_readerrorlog 一共有7个参数
(1) 存档编号;
(2) 日志类型(1为sql server日志,2为sql agent日志);
(3) 查询包含的字符串;
(4) 查询包含的字符串;
(5) logdate开始时间;
(6) 结果排序,按logdate排序(可以为降序"desc" or 升序"asc");
(7) 结果排序,按logdate排序(可以为降序"desc" or 升序"asc") 。
8. 查询job 明细
select b.[name] [jobname]
,b.enabled [enabled]
,a.step_id [stepid]
,b.description [jobdescription]
,a.step_name [stepname]
,a.command [script]
from msdb.dbo.sysjobsteps a
inner join msdb.dbo.sysjobs b
on a.job_id=b.job_id
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