------------------------最耗时的sql---------------------------------------
DECLARE @n INT;
SET @n = 500; WITH cte1
AS ( SELECT a.* ,
t.*
FROM sys.dm_exec_query_stats a
CROSS APPLY sys.dm_exec_sql_text(a.plan_handle) t
WHERE t.dbid >= 5
)
SELECT t.dbid ,
DB_NAME(t.dbid) AS dbname ,
a.total_worker_time ,
a.avg_time_ms ,
a.execution_count ,
a.cache_count ,
REPLACE(REPLACE(t.text, CHAR(10), ' '), CHAR(13), ' ')
FROM ( SELECT TOP ( @n )
plan_handle ,
SUM(total_worker_time) / 1000 AS total_worker_time ,
SUM(execution_count) AS execution_count ,
COUNT(1) AS cache_count ,
( SUM(total_worker_time) / SUM(execution_count) )
/ 1000 AS avg_time_ms
FROM cte1
GROUP BY plan_handle
ORDER BY avg_time_ms DESC
) a
CROSS APPLY sys.dm_exec_sql_text(a.plan_handle) t
WHERE avg_time_ms > 200
ORDER BY avg_time_ms DESC; GO ------------------------最频繁的sql---------------------------------------
DECLARE @n INT;
SET @n = 500;
WITH cte1
AS ( SELECT a.* ,
t.*
FROM sys.dm_exec_query_stats a
CROSS APPLY sys.dm_exec_sql_text(a.plan_handle) t
WHERE t.dbid >= 5
)
SELECT t.dbid ,
DB_NAME(t.dbid) AS dbname ,
a.execution_count ,
a.total_worker_time ,
a.avg_time_ms ,
a.cache_count ,
REPLACE(REPLACE(t.text, CHAR(10), ' '), CHAR(13), ' ')
FROM ( SELECT TOP ( @n )
plan_handle ,
SUM(total_worker_time) / 1000 AS total_worker_time ,
SUM(execution_count) AS execution_count ,
COUNT(1) AS cache_count ,
( SUM(total_worker_time) / SUM(execution_count) )
/ 1000 AS avg_time_ms
FROM cte1
GROUP BY plan_handle
ORDER BY avg_time_ms DESC
) a
CROSS APPLY sys.dm_exec_sql_text(a.plan_handle) t
ORDER BY execution_count DESC;
GO ------------------------耗cpu的sql---------------------------------------
DECLARE @n INT;
SET @n = 500;
WITH cte1
AS ( SELECT a.* ,
t.*
FROM sys.dm_exec_query_stats a
CROSS APPLY sys.dm_exec_sql_text(a.plan_handle) t
WHERE t.dbid >= 5
)
SELECT t.dbid ,
DB_NAME(t.dbid) AS dbname ,
a.total_logical_reads ,
a.avg_reads ,
a.total_logical_writes ,
a.avg_writes ,
a.execution_count ,
a.total_worker_time ,
a.avg_time_ms ,
a.cache_count ,
REPLACE(REPLACE(t.text, CHAR(10), ' '), CHAR(13), ' ')
FROM ( SELECT TOP ( @n )
plan_handle ,
SUM(total_logical_reads) AS total_logical_reads ,
( SUM(total_logical_reads) / SUM(execution_count) ) AS avg_reads ,
SUM(total_logical_writes) AS total_logical_writes ,
( SUM(total_logical_writes) / SUM(execution_count) ) AS avg_writes ,
SUM(execution_count) AS execution_count ,
COUNT(1) AS cache_count ,
SUM(total_worker_time) AS total_worker_time ,
( SUM(total_worker_time) / SUM(execution_count) )
/ 1000 AS avg_time_ms
FROM cte1
GROUP BY plan_handle
ORDER BY ( ( SUM(total_logical_reads) / SUM(execution_count) )
+ ( SUM(total_logical_writes) / SUM(execution_count) ) ) DESC
) a
CROSS APPLY sys.dm_exec_sql_text(a.plan_handle) t
ORDER BY ( avg_reads + avg_writes ) DESC;
GO -----------------------当前数据库可能缺少的索引-------------------------------
SELECT d.* ,
s.avg_total_user_cost ,
s.avg_user_impact ,
s.last_user_seek ,
s.unique_compiles
FROM sys.dm_db_missing_index_group_stats s ,
sys.dm_db_missing_index_groups g ,
sys.dm_db_missing_index_details d
WHERE s.group_handle = g.index_group_handle
AND d.index_handle = g.index_handle
ORDER BY s.avg_user_impact DESC; -----------------------当前数据库没用到的索引-------------------------------
SELECT tb_name = OBJECT_NAME(a.object_id) ,
idx_name = b.name ,
last_user_update ,
c.colid ,
c.keyno ,
col_name = d.name
INTO #tmp
FROM sys.dm_db_index_usage_stats a
LEFT JOIN sys.indexes b ON a.object_id = b.object_id
AND a.index_id = b.index_id
LEFT JOIN sys.sysindexkeys c ON c.id = a.object_id
AND c.indid = a.index_id
LEFT JOIN syscolumns d ON d.id = c.id
AND d.colid = c.colid
WHERE database_id = DB_ID()
AND last_user_seek IS NULL
AND last_user_scan IS NULL
AND last_user_lookup IS NULL
AND last_user_update IS NOT NULL
ORDER BY tb_name ,
idx_name ,
keyno;
SELECT tb_name ,
idx_name ,
last_user_update ,
keywords = STUFF(( SELECT ',' + col_name
FROM #tmp
WHERE tb_name = a.tb_name
AND idx_name = a.idx_name
ORDER BY tb_name ,
idx_name ,
keyno
FOR
XML PATH('')
), 1, 1, '')
FROM #tmp a
GROUP BY tb_name ,
idx_name ,
last_user_update;
DROP TABLE #tmp;
GO ------------------------------当前数据库索引的使用率--------------
SELECT OBJECT_NAME(object_id) AS table_name ,
( SELECT name
FROM sys.indexes
WHERE object_id = stats.object_id
AND index_id = stats.index_id
) AS index_name ,
*
FROM sys.dm_db_index_usage_stats AS stats
WHERE database_id = DB_ID()
ORDER BY table_name; --当前数据库指定表的索引使用情况
DECLARE @table AS NVARCHAR(100);
SET @table = 't_ire_candidate'; SELECT ( SELECT name
FROM sys.indexes
WHERE object_id = stats.object_id
AND index_id = stats.index_id
) AS index_name ,
*
FROM sys.dm_db_index_usage_stats AS stats
WHERE object_id = OBJECT_ID(@table)
ORDER BY user_seeks ,
user_scans ,
user_lookups ASC;
GO -- 查找阻塞,通过 a.blocking_session_id 查看引起阻塞的进程,text是对应的sql脚本
SELECT b.text , -- sql执行计划
b.dbid ,
DB_NAME(b.dbid) AS dbname ,
a.session_id , -- 执行会话id
a.blocking_session_id , -- 引起阻塞的会话id
a.status ,
a.command ,
a.wait_time ,
a.wait_type ,
a.wait_resource ,
a.total_elapsed_time
FROM sys.dm_exec_requests a
CROSS APPLY sys.dm_exec_sql_text(a.sql_handle) b
WHERE session_id IN ( SELECT DISTINCT
request_session_id
FROM sys.dm_tran_locks );

摘录http://www.cnblogs.com/chengxiaohui/articles/6377569.html

sqlserver常用调优脚本的更多相关文章

  1. sqlserver常用调优脚本(转)

    (转)以备不时之需 最耗时的sql declare @n int set @n=500 ; with cte1 as(select a.*,t.*from sys.dm_exec_query_stat ...

  2. JVM常用调优工具介绍

    前言 王子在之前的JVM文章中已经大体上把一些原理性问题说清楚了,今天主要是介绍一些实际进行JVM调优工作的工具和命令,不会深入讲解,因为网上资料很多,篇幅可能不长,但都是实用的内容,小伙伴们有不清楚 ...

  3. sqlserver性能调优第一步

    相信不少的朋友,无论是做开发.架构的,还是DBA等,都经常听说“调优”这个词.说起“调优”,可能会让很多技术人员心头激情澎湃,也可能会让很多人感觉苦恼,不知道如何入手.当然,也有很多人对此不屑一顾,因 ...

  4. JVM的常用的调优策略和垃圾回收算法及Tomcat的常用调优参数

    jvm调优主要针对堆内存,堆内存分为:新生区.养老区和永久区 永久区存放的是系统jdk自身的interface和class的元数据,所以唯有新生区和养老区具有优化空间. 新生区:伊甸区和幸存者区.所有 ...

  5. Mysql 常用调优命令总结

    在工作中,经常会碰到Mysql性能问题,本文记录了调优时会用到的一些命令: 1. show full processlist\G: 显示Mysql服务器正在执行的线程.有root权限的用户可以显示所有 ...

  6. Linux内存子系统及常用调优参数

    1>内存子系统 1>组件: slab    allocator buddy    system kswapd pdflush 2>虚拟化环境: PA:进程地址: HA:虚拟机地址: ...

  7. SQLServer性能调优3之索引(Index)的维护

    前言 前一篇的文章介绍了通过建立索引来提高数据库的查询性能,这其实只是个开始.后续如果缺少适当的维护,你先前建立的索引甚至会成为拖累,成为数据库性能的下降的帮凶. 查找碎片 消除碎片可能是索引维护最常 ...

  8. Linux常用调优配置

    cenos 6.5 文件句柄和网络端口 修改系统所有进程可用句柄数,vi /etc/sysctl.conf fs.file-max=655360net.ipv4.ip_local_port_range ...

  9. SQLSERVER性能调优小技巧

    平时做个记录,在工作过程中针对大数据查询的一些小技巧 -----------SELECT------------- 1.必要的冗余字段,减少关联查询 2.关键查询字段必须加索引 否则百万级以上你就别想 ...

随机推荐

  1. thinkPHP 快速上手

    http://www.kancloud.cn/manual/thinkphp5/118006 克隆项目 //首先克隆下载应用项目仓库 git clone https://github.com/top- ...

  2. angular中的 登录检查 和 过期Session清理

    angular利用ui-router进行登录检查 SAP都会有这个问题,session过期或者页面被刷新的情况下应该进入登录页. 监听ui-router的satte事件可以实现当state切换的时候检 ...

  3. MapReduce任务参数调优(转)

    http://blog.javachen.com/2014/06/24/tuning-in-mapreduce/ 本文主要记录Hadoop 2.x版本中MapReduce参数调优,不涉及Yarn的调优 ...

  4. (素材源代码) 猫猫学iOS 之UIDynamic重力、弹性碰撞吸附等现象牛逼Demo

    猫猫分享,必须精品 原创文章,欢迎转载. 转载请注明:翟乃玉的博客 地址:http://blog.csdn.net/u013357243 一:效果 二:代码 #import "ViewCon ...

  5. 算法笔记_201:第三届蓝桥杯软件类决赛真题(Java本科)

    目录 1 数量周期 2 提取子串 3 源码变换 4 古代赌局 5 火柴游戏   前言:以下代码仅供参考,若有错误欢迎指正哦~ 1 数量周期 [结果填空](满分9分) 复杂现象背后的推动力,可能是极其简 ...

  6. 腾讯云ubuntu安装Mysql并配置远程访问

    转载请注明原文地址:http://www.cnblogs.com/ygj0930/p/6378914.html 一:修改SSH配置 输入 su 进入root模式.修改ssh配置: sudo vi /e ...

  7. 【Linux】ssh建立隧道tunnel连接到内网设备

    root@192.168.1.105 建立隧道: ssh -l root -N -f -R 9103:127.0.0.1:2222 work@11.11.13.17 解析:把本地127.0.0.1:2 ...

  8. 动态规划处理diff算法 Myers Diff (正向)

    Eugene W. Myers 在他1986年发表于"Algorithmica"的论文"An O(ND) Difference Algorithm and Its Var ...

  9. android 发送短信的两种方式,以及接收报告和发送报告

               android发送短信,以及接收报告和发送报告          android中发送短信其实有两种方式,这个和打电话类似,大家可以了解一下:    一.调起系统发短信功能    ...

  10. ios中xml和html解析(封装)

    下载地址  http://pan.baidu.com/share/link?shareid=2902188921&uk=923776187 GDataXML和TFHpple配置是一样的(配置方 ...