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sql语句大全之SQLServer 维护脚本分享(06)CPU
--CPU相关视图
SELECT * FROM sys.dm_os_sys_info
SELECT * FROM sys.dm_exec_sessions
SELECT * FROM sys.sysprocesses
SELECT * FROM sys.dm_os_tasks
SELECT * FROM sys.dm_os_workers
SELECT * FROM sys.dm_os_threads
SELECT * FROM sys.dm_os_schedulers
SELECT * FROM sys.dm_os_memory_objects
SELECT * FROM sys.dm_os_nodes
SELECT * FROM sys.dm_os_memory_nodes
exec sp_configure 'max degree of parallelism'--系统默认并行度
exec sp_configure 'cost threshold for parallelism' --并发阈值
exec sp_configure 'max worker threads'--系统最大工作线程数
exec sp_configure 'affinity mask' --CPU关联
--数据库系统 cpu,线程 数量
select max_workers_count,scheduler_count,cpu_count,hyperthread_ratio
,(hyperthread_ratio/cpu_count) AS physical_cpu_count
,(max_workers_count/scheduler_count) AS workers_per_scheduler_limit
from sys.dm_os_sys_info
--执行的线程所遇到的所有等待的相关信息
SELECT TOP 10 wait_type,waiting_tasks_count,signal_wait_time_ms
FROM sys.dm_os_wait_stats ORDER BY signal_wait_time_ms DESC
--正在等待某些资源的任务的等待队列的信息
SELECT TOP 10 wait_type,wait_duration_ms,session_id,blocking_session_id
FROM sys.dm_os_waiting_tasks ORDER BY wait_duration_ms DESC
--CPU或调度器当前分配的工作情况
SELECT scheduler_id,cpu_id,status,is_idle
,current_tasks_count AS 当前任务数 --在等待或运行的任务
,runnable_tasks_count AS 等待调度线程数 --已分配任务并且正在可运行队列中
,current_workers_count AS 当前线程数 --相关或未分配任何任务的工作线程
,active_workers_count AS 活动线程数 --在运行、可运行或挂起
,work_queue_count AS 挂起任务数 --等待工作线程执行
FROM sys.dm_os_schedulers
WHERE scheduler_id < 255
--当前线程数
select COUNT(*) as 当前线程数 from sys.dm_os_workers
--非SQL server create的threads
select * from sys.dm_os_threads where started_by_sqlservr=0 --即scheduler_id > 255
--有task 等待worker去执行
select * from sys.dm_os_tasks where task_state='PENDING'
--计数器
select * from sys.dm_os_performance_counters where object_name='SQLServer:SQL Statistics'
select * from sys.dm_os_performance_counters where object_name='SQLServer:Plan Cache'
-----------------------------------------------------------------------------
-----------------------------------------------------------------------------
--1. 实例累积的信号(线程/CPU)等待比例是否严重
SELECT CAST(100.0 * SUM(signal_wait_time_ms) / SUM (wait_time_ms) AS NUMERIC(20,2)) AS [%signal (cpu) waits],
CAST(100.0 * SUM(wait_time_ms - signal_wait_time_ms) / SUM (wait_time_ms) AS NUMERIC(20,2)) AS [%resource waits]
FROM sys.dm_os_wait_stats WITH (NOLOCK) OPTION (RECOMPILE);
--2. SqlServer各等待类型的线程等待信息
SELECT TOP 20
wait_type,waiting_tasks_count ,wait_time_ms,signal_wait_time_ms
,wait_time_ms - signal_wait_time_ms AS resource_wait_time_ms
,CONVERT(NUMERIC(14,2),100.0 * wait_time_ms /SUM (wait_time_ms ) OVER( )) AS percent_total_waits
,CONVERT(NUMERIC(14,2),100.0 * signal_wait_time_ms /SUM (signal_wait_time_ms) OVER( )) AS percent_total_signal_waits
,CONVERT(NUMERIC(14,2),100.0 * ( wait_time_ms - signal_wait_time_ms )/SUM (wait_time_ms ) OVER( )) AS percent_total_resource_waits
FROM sys .dm_os_wait_stats
WHERE wait_time_ms > 0
ORDER BY percent_total_signal_waits DESC
--3. 闩锁(latch)等待的信息
select top 20 latch_class,waiting_requests_count,wait_time_ms,max_wait_time_ms
from sys.dm_os_latch_stats
order by wait_time_ms desc
--使用最多处理器时间的用户数据库
;WITH DB_CPU_Stats AS (
SELECT DatabaseID, DB_Name(DatabaseID) AS [DatabaseName],
SUM(total_worker_time) AS [CPU_Time_Ms]
FROM sys.dm_exec_query_stats AS qs
CROSS APPLY (SELECT CONVERT(int, value) AS [DatabaseID]
FROM sys.dm_exec_plan_attributes(qs.plan_handle)
WHERE attribute = N'dbid') AS F_DB
GROUP BY DatabaseID)
SELECT ROW_NUMBER() OVER(ORDER BY [CPU_Time_Ms] DESC) AS [row_num], DatabaseName
, [CPU_Time_Ms], CAST([CPU_Time_Ms] * 1.0
/ SUM([CPU_Time_Ms])OVER() * 100.0 AS DECIMAL(5,2)) AS [CPUPercent]
FROM DB_CPU_Stats
WHERE DatabaseID > 4 -- system databases
AND DatabaseID <> 32767 -- ResourceDB
ORDER BY row_num OPTION (RECOMPILE);
--缓存中最耗CPU的语句
select total_cpu_time,total_execution_count,number_of_statements,[text]
from (
select top 20
sum(qs.total_worker_time) as total_cpu_time,
sum(qs.execution_count) as total_execution_count,
count(*) as number_of_statements,
qs.plan_handle
from sys.dm_exec_query_stats qs
group by qs.plan_handle
order by total_cpu_time desc
) eqs cross apply sys.dm_exec_sql_text(eqs.plan_handle) as est
order by total_cpu_time desc
/*【ask 让出scheduler :worker yielding】
1. worker读数据页超过4ms
2. 64k结果集排序
3. compile或recompile(常有)
4. 客户端不能及时取走结果集
5. batch 的每个操作完整
*/
--当前正在执行的语句
SELECT
der.[session_id],der.[blocking_session_id],
sp.lastwaittype,sp.hostname,sp.program_name,sp.loginame,
der.[start_time] AS '开始时间',
der.[status] AS '状态',
der.[command] AS '命令',
dest.[text] AS 'sql语句',
DB_NAME(der.[database_id]) AS '数据库名',
der.[wait_type] AS '等待资源类型',
der.[wait_time] AS '等待时间',
der.[wait_resource] AS '等待的资源',
der.[reads] AS '物理读次数',
der.[writes] AS '写次数',
der.[logical_reads] AS '逻辑读次数',
der.[row_count] AS '返回结果行数'
FROM sys.[dm_exec_requests] AS der
INNER JOIN master.dbo.sysprocesses AS sp on der.session_id=sp.spid
CROSS APPLY sys.[dm_exec_sql_text](der.[sql_handle]) AS dest
WHERE [session_id]>50 AND session_id<>@@SPID AND DB_NAME(der.[database_id])='platform'
ORDER BY [cpu_time] DESC
--实例级最大的瓶颈
WITH Waits AS
(
SELECT wait_type , wait_time_ms / 1000. AS wait_time_s , 100.* wait_time_ms / SUM(wait_time_ms) OVER ( ) AS pct ,
ROW_NUMBER() OVER ( ORDER BY wait_time_ms DESC ) AS rn
FROM sys.dm_os_wait_stats
WHERE
wait_type NOT IN ( 'CLR_SEMAPHORE', 'LAZYWRITER_SLEEP', 'RESOURCE_QUEUE', 'SLEEP_TASK', 'SLEEP_SYSTEMTASK', 'SQLTRACE_BUFFER_FLUSH', 'WAITFOR', 'LOGMGR_QUEUE',
'CHECKPOINT_QUEUE', 'REQUEST_FOR_DEADLOCK_SEARCH', 'XE_TIMER_EVENT', 'BROKER_TO_FLUSH', 'BROKER_TASK_STOP', 'CLR_MANUAL_EVENT', 'CLR_AUTO_EVENT',
'DISPATCHER_QUEUE_SEMAPHORE', 'FT_IFTS_SCHEDULER_IDLE_WAIT', 'XE_DISPATCHER_WAIT', 'XE_DISPATCHER_JOIN' )
)
SELECT W1.wait_type , CAST(W1.wait_time_s AS DECIMAL(12, 2)) AS wait_time_s ,
CAST(W1.pct AS DECIMAL(12, 2)) AS pct ,CAST(SUM(W2.pct) AS DECIMAL(12, 2)) AS running_pct
FROM Waits AS W1
INNER JOIN Waits AS W2 ON W2.rn <= W1.rn
GROUP BY W1.rn , W1.wait_type , W1.wait_time_s , W1.pct
HAVING SUM(W2.pct) - W1.pct < 95 ; -- percentage threshold
---------------------
作者:薛定谔的DBA
来源:CSDN
原文:https://blog.csdn.net/kk185800961/article/details/50405868
版权声明:本文为博主原创文章,转载请附上博文链接!
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