• SQL SERVER占用CPU过高优化


      操作系统是Windows2008R2 ,数据库是SQL2014 64位。

      近阶段服务器出现过几次死机,管理员反馈机器内存使用率100%导致机器卡死。于是做了个监测服务器的软件实时记录CPU数据,几日观察得出数据如下:

      SQL优化方法:

      1、查看连接对象

     SELECT * FROM sys.[sysprocesses] WHERE [spid]>50 --AND DB_NAME([dbid])='gposdb'

      

    select client_net_address '客户端IP',local_net_address '服务器的IP',* from sys.dm_exec_connections

      当前连接对象有67个其中‘WINAME’的主机名,‘jTDS’的进程名不属于已知常用软件,找到这台主机并解决连接问题。在360流量防火墙中查看有哪个软件连接了服务器IP,除之。

    2、然后使用下面语句看一下各项指标是否正常,是否有阻塞,正常情况下搜索结果应该为空。

     1 SELECT TOP 10
     2 [session_id],
     3 [request_id],
     4 [start_time] AS '开始时间',
     5 [status] AS '状态',
     6 [command] AS '命令',
     7 dest.[text] AS 'sql语句', 
     8 DB_NAME([database_id]) AS '数据库名',
     9 [blocking_session_id] AS '正在阻塞其他会话的会话ID',
    10 [wait_type] AS '等待资源类型',
    11 [wait_time] AS '等待时间',
    12 [wait_resource] AS '等待的资源',
    13 [reads] AS '物理读次数',
    14 [writes] AS '写次数',
    15 [logical_reads] AS '逻辑读次数',
    16 [row_count] AS '返回结果行数'
    17 FROM sys.[dm_exec_requests] AS der 
    18 CROSS APPLY 
    19 sys.[dm_exec_sql_text](der.[sql_handle]) AS dest 
    20 WHERE [session_id]>50 AND DB_NAME(der.[database_id])='gposdb'  
    21 ORDER BY [cpu_time] DESC

    查看是哪些SQL语句占用较大可以使用下面代码

    1 --在SSMS里选择以文本格式显示结果
    2 SELECT TOP 10 
    3 dest.[text] AS 'sql语句'
    4 FROM sys.[dm_exec_requests] AS der 
    5 CROSS APPLY 
    6 sys.[dm_exec_sql_text](der.[sql_handle]) AS dest 
    7 WHERE [session_id]>50  
    8 ORDER BY [cpu_time] DESC

    3、如果SQLSERVER存在要等待的资源,那么执行下面语句就会显示出会话中有多少个worker在等待

     1 SELECT TOP 10
     2  [session_id],
     3  [request_id],
     4  [start_time] AS '开始时间',
     5  [status] AS '状态',
     6  [command] AS '命令',
     7  dest.[text] AS 'sql语句', 
     8  DB_NAME([database_id]) AS '数据库名',
     9  [blocking_session_id] AS '正在阻塞其他会话的会话ID',
    10  der.[wait_type] AS '等待资源类型',
    11  [wait_time] AS '等待时间',
    12  [wait_resource] AS '等待的资源',
    13  [dows].[waiting_tasks_count] AS '当前正在进行等待的任务数',
    14  [reads] AS '物理读次数',
    15  [writes] AS '写次数',
    16  [logical_reads] AS '逻辑读次数',
    17  [row_count] AS '返回结果行数'
    18  FROM sys.[dm_exec_requests] AS der 
    19  INNER JOIN [sys].[dm_os_wait_stats] AS dows 
    20  ON der.[wait_type]=[dows].[wait_type]
    21  CROSS APPLY 
    22  sys.[dm_exec_sql_text](der.[sql_handle]) AS dest 
    23  WHERE [session_id]>50  
    24  ORDER BY [cpu_time] DESC

    4、查询CPU占用最高的SQL语句

     1 SELECT TOP 10
     2    total_worker_time/execution_count AS avg_cpu_cost, plan_handle,
     3    execution_count,
     4    (SELECT SUBSTRING(text, statement_start_offset/2 + 1,
     5       (CASE WHEN statement_end_offset = -1
     6          THEN LEN(CONVERT(nvarchar(max), text)) * 2
     7          ELSE statement_end_offset
     8       END - statement_start_offset)/2)
     9    FROM sys.dm_exec_sql_text(sql_handle)) AS query_text
    10 FROM sys.dm_exec_query_stats
    11 ORDER BY [avg_cpu_cost] DESC

    5、索引缺失查询

     1 SELECT 
     2     DatabaseName = DB_NAME(database_id)
     3     ,[Number Indexes Missing] = count(*) 
     4 FROM sys.dm_db_missing_index_details
     5 GROUP BY DB_NAME(database_id)
     6 ORDER BY 2 DESC;
     7 SELECT  TOP 10 
     8         [Total Cost]  = ROUND(avg_total_user_cost * avg_user_impact * (user_seeks + user_scans),0) 
     9         , avg_user_impact
    10         , TableName = statement
    11         , [EqualityUsage] = equality_columns 
    12         , [InequalityUsage] = inequality_columns
    13         , [Include Cloumns] = included_columns
    14 FROM        sys.dm_db_missing_index_groups g 
    15 INNER JOIN    sys.dm_db_missing_index_group_stats s 
    16        ON s.group_handle = g.index_group_handle 
    17 INNER JOIN    sys.dm_db_missing_index_details d 
    18        ON d.index_handle = g.index_handle
    19 ORDER BY [Total Cost] DESC;

      找到索引缺失的表,根据查询结果中的关键次逐一建立索引。

      做完这些测试,基本能找到问题。

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  • 原文地址:https://www.cnblogs.com/yuekong2010/p/6628001.html
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