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  • Sql Server 2008 数据库优化常用脚本

    –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_usage*8 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 = 0×0000
    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 = 0×0000
    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

    –强行释放空连接
    select ‘kill ‘ + rtrim(spid) from master.dbo.sysprocesses
    where spid> 50
    and waittype = 0×0000
    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

    –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 = 0×0000
    and waittime = 0
    and status = ‘sleeping ‘
    and last_batch < dateadd(minute, -10, getdate())
    and login_time < dateadd(minute, -10, getdate())
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  • 原文地址:https://www.cnblogs.com/zping/p/2682896.html
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