--Begin Cpu 分析优化的相关 Sql
--使用DMV来分析SQL Server启动以来累计使用CPU资源最多的语句。例如下面的语句就可以列出前50名。
select
c.last_execution_time,c.execution_count,c.total_logical_reads,c.total_logical_writes,c.total_elapsed_time,c.last_elapsed_time,
q.[text]
from
(select top 50 qs.*
from sys.dm_exec_query_stats qs
order by qs.total_worker_time desc) as c
cross apply sys.dm_exec_sql_text(plan_handle) as q
order by c.total_worker_time desc
go
-- 返回最经常运行的100条语句
SELECT TOP 100 cp.cacheobjtype,cp.usecounts,cp.size_in_bytes,qs.statement_start_offset,qs.statement_end_offset,qt.dbid ,qt.objectid
,SUBSTRING(qt.text,qs.statement_start_offset/2,
(case when qs.statement_end_offset = -1
then len(convert(nvarchar(max), qt.text)) * 2
else qs.statement_end_offset end -qs.statement_start_offset)/2) as statement
FROM sys.dm_exec_query_stats qs
cross apply sys.dm_exec_sql_text(qs.sql_handle) as qt
inner join sys.dm_exec_cached_plans as cp on qs.plan_handle=cp.plan_handle
where cp.plan_handle=qs.plan_handle
and cp.usecounts>4
ORDER BY [dbid],[Usecounts] DESC
-- 返回做IO数目最多的50条语句以及它们的执行计划
select top 50
(total_logical_reads/execution_count) as avg_logical_reads,
(total_logical_writes/execution_count) as avg_logical_writes,
(total_physical_reads/execution_count) as avg_phys_reads,
Execution_count,
statement_start_offset as stmt_start_offset, statement_end_offset as stmt_end_offset,
substring(sql_text.text, (statement_start_offset/2),
case
when (statement_end_offset -statement_start_offset)/2 <=0 then 64000
else (statement_end_offset -statement_start_offset)/2 end) as exec_statement, sql_text.text,plan_text.*
from sys.dm_exec_query_stats
cross apply sys.dm_exec_sql_text(sql_handle) as sql_text
cross apply sys.dm_exec_query_plan(plan_handle) as plan_text
order by
(total_logical_reads + total_logical_writes) /Execution_count Desc
-- 计算signal wait占整wait时间的百分比
-- 指令等待 CPU 资源的时间占总时间的百分比。如果超过 25% ，说明 CPU 紧张
select convert(numeric(5,4),sum(signal_wait_time_ms)/sum(wait_time_ms))
from Sys.dm_os_wait_stats
-- 计算'Cxpacket'占整wait时间的百分比
-- Cxpacket:Sql Server 在处理一句代价很大的语句，要不就是没有合适的索引或筛选条件没能筛选足够的记录，使得语句要返回大量的结果，当 >5% 说明有问题
declare @Cxpacket bigint
declare @Sumwaits bigint
select @Cxpacket = wait_time_ms
from Sys.dm_os_wait_stats
where wait_type = 'Cxpacket'
select @Sumwaits = sum(wait_time_ms)
from Sys.dm_os_wait_stats
select convert(numeric(5,4),@Cxpacket/@Sumwaits)
-- 查询当前数据库上所有用户表格在Row lock上发生阻塞的频率
declare @dbid int
select @dbid = db_id()
Select dbid=database_id, objectname=object_name(s.object_id)
, indexname=i.name, i.index_id --, partition_number
, row_lock_count, row_lock_wait_count
, [block %]=cast (100.0 * row_lock_wait_count / (1 + row_lock_count) as numeric(15,2))
, row_lock_wait_in_ms
, [avg row lock waits in ms]=cast (1.0 * row_lock_wait_in_ms / (1 + row_lock_wait_count) as numeric(15,2))
from sys.dm_db_index_operational_stats (@dbid, NULL, NULL, NULL) s, sys.indexes i
where objectproperty(s.object_id,'IsUserTable') = 1
and i.object_id = s.object_id
and i.index_id = s.index_id
order by row_lock_wait_count desc
--返回sqlserver中最慢的10条语句
select distinct top 10
substring(t.text, (s.statement_start_offset/2)+1, (((case s.statement_end_offset when -1 then datalength(t.text) else s.statement_end_offset end) - s.statement_start_offset)/2) + 1) as SqlText
, (case when s.statement_start_offset > 0 then substring(t.text, 0, (s.statement_start_offset/2)+1) else '' end) as SqlParameters
, s.execution_count as ExecutionCount
, (s.max_elapsed_time/1000) as MaxElapsedTimeMs
, (s.min_elapsed_time/1000) as MinElapsedTimeMs
, isnull((s.total_elapsed_time/1000) / nullif(s.execution_count, 0), 0) as AvgElapsedTimeMs
, s.creation_time as LogCreatedOn
, s.last_execution_time as LastExecutionTime
, isnull(s.execution_count / nullif(datediff(s, s.creation_time, getdate()), 0), 0) as FrequencyPerSec
from
sys.dm_exec_query_stats as s
cross apply
sys.dm_exec_sql_text(s.sql_handle) as t
order by
isnull((s.total_elapsed_time/1000) / nullif(s.execution_count, 0), 0) desc
--End Cpu 分析优化的相关 Sql
