查看SQLServer最耗资源时间的SQL语句
1.找出执行时间最长的10条SQL(适用于SQL SERVER 2005及其以上版本)
SELECT TOP 10 ( 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' , creation_time N'语句编译时间' , last_execution_time N'上次执行时间' , 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' , qp.query_plan FROM sys.dm_exec_query_stats AS qs CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) st CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) qp 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; ---如果想对SQL作筛选,可将 ---not like '%fetch%' 换成 like '%user%'就可以找出SQL语句中含有user关键字的SQL
2. 找出执行最慢的SQL语句(适用于SQL SERVER 2005及其以上版本)
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;
3 找出最耗时的前N条T-SQL语句 (适用于SQL SERVER 2005及其以上版本)
--给N赋初值为30 DECLARE @n INT; SET @n = 30; WITH maco AS ( SELECT TOP ( @n ) plan_handle , SUM(total_worker_time) AS total_worker_time , SUM(execution_count) AS execution_count , COUNT(1) AS sql_count FROM sys.dm_exec_query_stats GROUP BY plan_handle ORDER BY SUM(total_worker_time) DESC ) SELECT t.text , a.total_worker_time , a.execution_count , a.sql_count FROM maco a CROSS APPLY sys.dm_exec_sql_text(plan_handle) t; /* 结果格式如下 text total_worker_time execution_count sql_count -------- ------------------ ----------------- --------- 内容略 */
4 平均耗CPU最多的前个SQL (SQL SERVER 2005或以上版本)
SELECT TOP 5 total_worker_time / execution_count AS [Avg CPU Time] , 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 FROM sys.dm_exec_query_stats AS qs CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS st ORDER BY total_worker_time / execution_count DESC;
5 平均耗CPU最多的前个SQL (SQL SERVER 2008或以上版本)
SELECT TOP 20 total_worker_time / 1000 AS [总消耗CPU 时间(ms)] , execution_count [运行次数] , qs.total_worker_time / qs.execution_count / 1000 AS [平均消耗CPU 时间(ms)] , last_execution_time AS [最后一次执行时间] , min_worker_time / 1000 AS [最小执行时间(ms)] , max_worker_time / 1000 AS [最大执行时间(ms)] , SUBSTRING(qt.text, qs.statement_start_offset / 2 + 1, ( CASE WHEN qs.statement_end_offset = -1 THEN DATALENGTH(qt.text) ELSE qs.statement_end_offset END - qs.statement_start_offset ) / 2 + 1) AS [使用CPU的语法] , qt.text [完整语法] , qt.dbid , dbname = DB_NAME(qt.dbid) , qt.objectid , OBJECT_NAME(qt.objectid, qt.dbid) ObjectName FROM sys.dm_exec_query_stats qs WITH ( NOLOCK ) CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS qt WHERE execution_count > 1 ORDER BY ( qs.total_worker_time / qs.execution_count / 1000 ) DESC;
6 总耗CPU最多的前个SQL (SQL SERVER 2008或以上版本)
SELECT TOP 20 total_worker_time / 1000 AS [总消耗CPU 时间(ms)] , execution_count [运行次数] , qs.total_worker_time / qs.execution_count / 1000 AS [平均消耗CPU 时间(ms)] , last_execution_time AS [最后一次执行时间] , max_worker_time / 1000 AS [最大执行时间(ms)] , SUBSTRING(qt.text, qs.statement_start_offset / 2 + 1, ( CASE WHEN qs.statement_end_offset = -1 THEN DATALENGTH(qt.text) ELSE qs.statement_end_offset END - qs.statement_start_offset ) / 2 + 1) AS [使用CPU的语法] , qt.text [完整语法] , qt.dbid , dbname = DB_NAME(qt.dbid) , qt.objectid , OBJECT_NAME(qt.objectid, qt.dbid) ObjectName FROM sys.dm_exec_query_stats qs WITH ( NOLOCK ) CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS qt WHERE execution_count > 1 ORDER BY total_worker_time DESC;
7 查询SQL Server执行过的SQL语句(执行次数)——某段时间内
---------------查询SQL Server执行过的SQL语句(执行次数)——某段时间内 SELECT TOP 2000 ST.text AS '执行的SQL语句', QS.execution_count AS '执行次数', QS.total_elapsed_time AS '耗时', QS.total_logical_reads AS '逻辑读取次数', QS.total_logical_writes AS '逻辑写入次数', QS.total_physical_reads AS '物理读取次数', QS.creation_time AS '执行时间' , QS.* FROM sys.dm_exec_query_stats QS CROSS APPLY sys.dm_exec_sql_text(QS.sql_handle) ST WHERE -- QS.creation_time BETWEEN '2020-06-01 00:00:00' AND '2020-06-02 11:00:00' -- QS.creation_time >DATEADD(HOUR,-1,GETDATE()) and ---前一个小时 QS.creation_time >DATEADD(DAY,-1,GETDATE()) --前一天 ORDER BY QS.total_elapsed_time DESC
转载于:https://www.cnblogs.com/My-Dream/p/6270308.html

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