SQL server 2008 数据库优化常用脚本(sql2008数据库脚本怎么执行)学会了吗

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–查询某个数据库的连接数
select count(*) from Master.dbo.SysProcesses where dbid=db_id()

–前10名其他等待类型

SELECT TOP 10 * from sys.dm_os_wait_stats

ORDER BY wait_time_ms DESC

SELECT *FROM sys.dm_os_wait_stats WHERE wait_type like ‘PAGELATCH%’

OR wait_type like ‘LAZYWRITER_SLEEP%’

–CPU的压力

SELECT scheduler_id, current_tasks_count, runnable_tasks_count

FROM sys.dm_os_schedulers

WHERE scheduler_id < 255

–表现最差的前10名使用查询

SELECT TOP 10 ProcedureName=t.text,

ExecutionCount=s.execution_count,

AvgExecutionTime=isnull ( s.total_elapsed_time / s.execution_count, 0 ),

AvgWorkerTime=s.total_worker_time / s.execution_count,

TotalWorkerTime=s.total_worker_time,

MaxLogicalReads=s.max_logical_reads,

MaxPhysicalReads=s.max_physical_reads,

MaxLogicalWrites=s.max_logical_writes,

CreationDateTime=s.creation_time,

CallsPerSecond=isnull ( s.execution_count / datediff ( second , s.creation_time, getdate ()), 0 )

FROM sys.dm_exec_query_stats s

CROSS APPLY sys.dm_exec_sql_text( s.sql_handle ) t ORDER BY

s.max_physical_reads DESC

SELECT SUM(signal_wait_time_ms) AS total_signal_wait_time_ms总信号等待时间 ,

SUM(wait_time_ms – signal_wait_time_ms) AS resource_wait_time_ms资源的等待时间,

SUM(signal_wait_time_ms) * 1.0 / SUM (wait_time_ms) * 100 AS [signal_wait_percent信号等待%],

SUM(wait_time_ms – signal_wait_time_ms) * 1.0 / SUM (wait_time_ms) * 100 AS [resource_wait_percent资源等待%]

FROM sys.dm_os_wait_stats

–一个信号等待时间过多对资源的等待时间那么你的CPU是目前的一个瓶颈。


–查看进程所执行的SQL语句

if (select COUNT(*) from master.dbo.sysprocesses) > 500

begin

select text,CROSS APPLY master.sys.dm_exec_sql_text(a.sql_handle) from master.sys.sysprocesses a

end

select text,a.* from master.sys.sysprocesses a

CROSS APPLY master.sys.dm_exec_sql_text(a.sql_handle)

where a.spid=’51’

dbcc inputbuffer(53)

with tb

as

(

select blocking_session_id,

session_id,db_name(database_id) as dbname,text from master.sys.dm_exec_requests a

CROSS APPLY master.sys.dm_exec_sql_text(a.sql_handle)

),

tb1 as

(

select a.,login_time,program_name,client_interface_name,login_name,cpu_time,memory_usage8 as ‘memory_usage(KB)’,

total_scheduled_time,reads,writes,logical_reads

from tb a inner join master.sys.dm_exec_sessions b

on a.session_id=b.session_id

)

select a.*,connect_time,client_tcp_port,client_net_address from tb1 a inner join master.sys.dm_exec_connections b on a.session_id=b.session_id

–当前进程数

select * from master.dbo.sysprocesses

order by cpu desc

–查看当前活动的进程数
sp_who active

–查询是否由于连接没有释放引起CPU过高

select * from master.dbo.sysprocesses

where spid> 50

and waittype=0x0000

and waittime=0

and status=’sleeping ‘

and last_batch < dateadd(minute, -10, getdate())

and login_time < dateadd(minute, -10, getdate())

–强行释放空连接

select ‘kill ‘ + rtrim(spid) from master.dbo.sysprocesses

where spid> 50

and waittype=0x0000

and waittime=0

and status=’sleeping ‘

and last_batch < dateadd(minute, -60, getdate())

and login_time < dateadd(minute, -60, getdate())

–查看当前占用 cpu 资源最高的会话和其中执行的语句(及时CPU)

select spid,cmd,cpu,physical_io,memusage,

(select top 1 [text] from ::fn_get_sql(sql_handle)) sql_text

from master..sysprocesses order by cpu desc,physical_io desc

–查看缓存中重用次数少,占用内存大的查询语句(当前缓存中未释放的)–全局

SELECT TOP 100 usecounts, objtype, p.size_in_bytes,[sql].[text]

FROM sys.dm_exec_cached_plans p OUTER APPLY sys.dm_exec_sql_text (p.plan_handle) sql

ORDER BY usecounts,p.size_in_bytes desc

SELECT top 25 qt.text,qs.plan_generation_num,qs.execution_count,dbid,objectid

FROM sys.dm_exec_query_stats qs

CROSS APPLY sys.dm_exec_sql_text(sql_handle) as qt

WHERE plan_generation_num >1

ORDER BY qs.plan_generation_num

SELECT top 50 qt.text AS SQL_text ,SUM(qs.total_worker_time) AS total_cpu_time,

SUM(qs.execution_count) AS total_execution_count,

SUM(qs.total_worker_time)/SUM(qs.execution_count) AS avg_cpu_time,

COUNT(*) AS number_of_statements

FROM sys.dm_exec_query_stats qs

CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) as qt

GROUP BY qt.text

ORDER BY total_cpu_time DESC –统计总的CPU时间

–ORDER BY avg_cpu_time DESC –统计平均单次查询CPU时间

— 计算可运行状态下的工作进程数量

SELECT COUNT(*) as workers_waiting_for_cpu,s.scheduler_id

FROM sys.dm_os_workers AS o

INNER JOIN sys.dm_os_schedulers AS s

ON o.scheduler_address=s.scheduler_address

AND s.scheduler_id<255

WHERE o.state=’RUNNABLE’

GROUP BY s.scheduler_id

–表空间大小查询

create table #tb(表名 sysname,记录数 int,保留空间 varchar(100),使用空间 varchar(100),索引使用空间 varchar(100),未用空间 varchar(100))

insert into #tb exec sp_MSForEachTable ‘EXEC sp_spaceused ”?”’

select * from #tb

go

SELECT

表名,

记录数,

cast(ltrim(rtrim(replace(保留空间,’KB’,”))) as int)/1024 保留空间MB,

cast(ltrim(rtrim(replace(使用空间,’KB’,”))) as int)/1024 使用空间MB,

cast(ltrim(rtrim(replace(使用空间,’KB’,”))) as int)/1024/1024.00 使用空间GB,

cast(ltrim(rtrim(replace(索引使用空间,’KB’,”))) as int)/1024 索引使用空间MB,

cast(ltrim(rtrim(replace(未用空间,’KB’,”))) as int)/1024 未用空间MB

FROM #tb

WHERE cast(ltrim(rtrim(replace(使用空间,’KB’,”))) as int)/1024 > 0

–order by 记录数 desc

ORDER BY 使用空间MB DESC

DROP TABLE #tb

–查询是否由于连接没有释放引起CPU过高

select * from master.dbo.sysprocesses

where spid> 50

and waittype=0x0000

and waittime=0

and status=’sleeping ‘

and last_batch < dateadd(minute, -10, getdate())

and login_time < dateadd(minute, -10, getdate())

–强行释放空连接

select ‘kill ‘ + rtrim(spid) from master.dbo.sysprocesses

where spid> 50

and waittype=0x0000

and waittime=0

and status=’sleeping ‘

and last_batch < dateadd(minute, -60, getdate())

and login_time < dateadd(minute, -60, getdate())

—-查看当前占用 cpu 资源最高的会话和其中执行的语句(及时CPU)

select spid,cmd,cpu,physical_io,memusage,

(select top 1 [text] from ::fn_get_sql(sql_handle)) sql_text

from master..sysprocesses order by cpu desc,physical_io desc

—-查看缓存中重用次数少,占用内存大的查询语句(当前缓存中未释放的)–全局

SELECT TOP 100 usecounts, objtype, p.size_in_bytes,[sql].[text]

FROM sys.dm_exec_cached_plans p OUTER APPLY sys.dm_exec_sql_text (p.plan_handle) sql

ORDER BY usecounts,p.size_in_bytes desc

SELECT top 25 qt.text,qs.plan_generation_num,qs.execution_count,dbid,objectid

FROM sys.dm_exec_query_stats qs

CROSS APPLY sys.dm_exec_sql_text(sql_handle) as qt

WHERE plan_generation_num >1

ORDER BY qs.plan_generation_num

SELECT top 50 qt.text AS SQL_text ,SUM(qs.total_worker_time) AS total_cpu_time,

SUM(qs.execution_count) AS total_execution_count,

SUM(qs.total_worker_time)/SUM(qs.execution_count) AS avg_cpu_time,

COUNT(*) AS number_of_statements

FROM sys.dm_exec_query_stats qs

CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) as qt

GROUP BY qt.text

ORDER BY total_cpu_time DESC –统计总的CPU时间

–ORDER BY avg_cpu_time DESC –统计平均单次查询CPU时间

— 计算可运行状态下的工作进程数量

SELECT COUNT(*) as workers_waiting_for_cpu,s.scheduler_id

FROM sys.dm_os_workers AS o

INNER JOIN sys.dm_os_schedulers AS s

ON o.scheduler_address=s.scheduler_address

AND s.scheduler_id<255

WHERE o.state=’RUNNABLE’

GROUP BY s.scheduler_id

SELECT creation_time N’语句编译时间’

,last_execution_time N’上次执行时间’

,total_physical_reads N’物理读取总次数’

,total_logical_reads/execution_count N’每次逻辑读次数’

,total_logical_reads N’逻辑读取总次数’

,total_logical_writes N’逻辑写入总次数’

, execution_count N’执行次数’

, total_worker_time/1000 N’所用的CPU总时间ms’

, total_elapsed_time/1000 N’总花费时间ms’

, (total_elapsed_time / execution_count)/1000 N’平均时间ms’

,SUBSTRING(st.text, (qs.statement_start_offset/2) + 1,

((CASE statement_end_offset

WHEN -1 THEN DATALENGTH(st.text)

ELSE qs.statement_end_offset END

– qs.statement_start_offset)/2) + 1) N’执行语句’

FROM sys.dm_exec_query_stats AS qs

CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) st

where SUBSTRING(st.text, (qs.statement_start_offset/2) + 1,

((CASE statement_end_offset

WHEN -1 THEN DATALENGTH(st.text)

ELSE qs.statement_end_offset END

– qs.statement_start_offset)/2) + 1) not like ‘%fetch%’

ORDER BY total_elapsed_time / execution_count DESC

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