SQL Server CPU 性能排查及优化的相关SQL语句,非常好、非常实用的SQL语句:
--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 (selecttop50 qs.* from sys.dm_exec_query_stats qs orderby qs.total_worker_time desc) as c cross apply sys.dm_exec_sql_text(plan_handle) as q orderby c.total_worker_time desc go -- 返回最经常运行的100条语句 SELECTTOP100 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, (casewhen qs.statement_end_offset =-1 thenlen(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 innerjoin 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 ORDERBY[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 selecttop50 (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<=0then64000 else (statement_end_offset -statement_start_offset)/2end) 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 orderby (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 selectconvert(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@Cxpacketbigint declare@Sumwaitsbigint 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 selectconvert(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@dbidint 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 whereobjectproperty(s.object_id,'IsUserTable') =1 and i.object_id= s.object_id and i.index_id = s.index_id orderby row_lock_wait_count desc --End Cpu 分析优化的相关 Sql
本文暂时没有评论,来添加一个吧(●'◡'●)