时间:2021-07-01 10:21:17 帮助过:3人阅读
SELECT TOP 10 st.text AS SQL_Full --父级完整语句 ,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) as SQL_Part --统计对应的部分语句 , CAST( ((qs.total_elapsed_time / 1000000.0)/qs.execution_count) AS DECIMAL(28,2) ) AS [平均消耗秒数] , CAST(qs.last_elapsed_time / 1000000.0 AS DECIMAL(28, 2)) AS [最后完成消耗秒数] , qs.last_execution_time AS [最后执行时间] , CAST(qs.min_elapsed_time / 1000000.0 AS DECIMAL(28, 2)) AS [最小消耗秒数] , CAST(qs.max_elapsed_time / 1000000.0 AS DECIMAL(28, 2)) AS [最大消耗秒数] , CAST(qs.total_elapsed_time / 1000000.0 AS DECIMAL(28, 2)) AS [总消耗秒数] , (qs.execution_count) AS [总执行次数] , creation_time AS [编译计划的时间] , CAST(qs.last_worker_time / 1000000.0 AS DECIMAL(28, 2)) AS [最后完成占用CPU秒数] , qp.query_plan from sys.dm_exec_query_stats qs CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS st CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) qp WHERE qs.last_execution_time>DATEADD(n,-30,GETDATE()) ORDER BY qs.last_worker_time DESC
--执行最慢的20条SQL语句 SELECT TOP 20 (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 ‘?tch%‘ ORDER BY total_elapsed_time / execution_count DESC;
--总耗CPU最多的前个SQL: 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
--平均耗CPU最多的前个SQL: 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
sqlserver 性能调优脚本
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