sqlserver查询最耗时的sql语句和执行过的sql语句
SELECT
(total_elapsed_time / execution_count)/1000 N'平均时间ms'
,total_elapsed_time/1000 N'总花费时间ms'
,total_worker_time/1000 N'所用的CPU总时间ms'
,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'
,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'
,creation_time N'语句编译时间'
,last_execution_time N'上次执行时间'
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;
SELECT TOP 10 TEXT AS 'SQL Statement'
,last_execution_time AS 'Last Execution Time'
,(total_logical_reads + total_physical_reads + total_logical_writes) / execution_count AS [Average IO]
,(total_worker_time / execution_count) / 1000000.0 AS [Average CPU Time (sec)]
,(total_elapsed_time / execution_count) / 1000000.0 AS [Average Elapsed Time (sec)]
,execution_count AS "Execution Count",qs.total_physical_reads,qs.total_logical_writes
-- ,qp.query_plan AS "Query Plan"
FROM sys.dm_exec_query_stats qs
CROSS APPLY sys.dm_exec_sql_text(qs.plan_handle) st
--CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) qp
ORDER BY total_elapsed_time / execution_count DESC
-- 若需要查看语句执行的计划，进一步分析语句，可以去掉注释，但可能导致查询结果变慢
--查询当前占用cpu时间比较多的语句
SELECT TOP 10 dest.[text] AS 'sql语句'
,der.[cpu_time] as 'cpu时间'
FROM sys.[dm_exec_requests] AS der CROSS APPLY sys.[dm_exec_sql_text](der.[sql_handle]) AS dest
WHERE [session_id]>50 ORDER BY [cpu_time] DESC
--sql server查询IO消耗大的排查sql诊断语句
--前段时间网站访问量增大，云服务器后台监控告警提示IOPS过大。我使用以下sql语句很快就找到sql server占用IO在的相关功能模块。
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
(total_logical_reads + total_physical_reads) /Execution_count Desc查询sql执行过的语句
select * from (
SELECT TOP 1000
--创建时间
QS.creation_time,
--查询语句
SUBSTRING(ST.text,(QS.statement_start_offset/2)+1,
((CASE QS.statement_end_offset WHEN -1 THEN DATALENGTH(st.text)
ELSE QS.statement_end_offset END - QS.statement_start_offset)/2) + 1
) AS statement_text,
--执行文本
ST.text,
--执行计划
QS.total_worker_time,
QS.last_worker_time,
QS.max_worker_time,
QS.min_worker_time
FROM
sys.dm_exec_query_stats QS
--关键字
CROSS APPLY
sys.dm_exec_sql_text(QS.sql_handle) ST
WHERE
QS.creation_time BETWEEN '2020-09-18 08:56:02' AND '2020-09-18 08:58:02' --AND ST.text LIKE '%%'
ORDER BY
QS.creation_time DESC) a