• 查看设置的最大与最小内存:

 exec sp_configure 'max server memory (MB)'
exec sp_configure 'min server memory (MB)'

• SqlServer目标内存、当前内存 、数据库内存页数:

 SELECT object_name,counter_name,cntr_value,cntr_value/1024/1024 AS [cntr_value(GB)]
FROM sys.dm_os_performance_counters
WHERE counter_name in('Target Server Memory (KB)','Total Server Memory (KB)','Database pages')

•  查看设置的最大与最小内存:

 SELECT * FROM sys.dm_os_sys_info
SELECT * FROM sys.dm_os_sys_memory
SELECT * FROM sys.dm_os_process_memory

•  查看当前是否有等待内存授予的进程:

 Select a.*,b.text, c.query_plan
from sys.dm_exec_query_memory_grants a
CROSS APPLY sys.dm_exec_sql_text(sql_handle) b
CROSS APPLY sys.dm_exec_query_plan (plan_handle) c

•  SqlServer预留和提交内存情况:

SELECT  [type]
,SUM(virtual_memory_reserved_kb) AS [vm reserved]
,SUM(virtual_memory_committed_kb) AS [vm commited]
,SUM(awe_allocated_kb) AS [awe allocated]
,SUM(shared_memory_reserved_kb) AS [sm reserved]
,SUM(shared_memory_committed_kb) AS [sm committed]
,SUM(single_pages_kb) AS [Stolen in Buffer Pool]
,SUM(multi_pages_kb) AS [MemToLeave]
,SUM(single_pages_kb) + SUM(multi_pages_kb) AS [Stolen]
,SUM(virtual_memory_committed_kb) + SUM(multi_pages_kb) AS [Buffer Pool]
FROM sys.dm_os_memory_clerks
GROUP BY [type]
ORDER BY [type] desc

•  当前各数据库buffer pool的分配情况:

SELECT
CASE database_id
WHEN 32767 THEN 'ResourceDb'
ELSE db_name(database_id) END AS Database_name
,count(*) AS cached_pages_count
,count(*)*8/1024 AS cached_space_in_mb
,sum(convert(bigint,free_space_in_bytes))/1024/1024 AS free_space_in_mb
FROM sys.dm_os_buffer_descriptors(nolock)
GROUP BY db_name(database_id) ,database_id
ORDER BY cached_pages_count DESC;

•  当前数据库各表buffer pool的分配情况:

SELECT top(20) name ,index_id ,count(*)AS cached_pages_count
,count(*)*8/1024 AS cached_space_in_mb
FROM sys.dm_os_buffer_descriptors AS bd
INNER JOIN (
SELECT object_name(object_id) AS name ,index_id ,allocation_unit_id
FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p
ON au.container_id = p.hobt_id AND (au.type = 1 OR au.type = 3 )
UNION ALL
SELECT object_name(object_id) AS name,index_id, allocation_unit_id
FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p
ON au.container_id = p.hobt_id AND au.type = 2
) AS obj ON bd.allocation_unit_id = obj.allocation_unit_id
WHERE database_id = db_id() AND obj.name NOT LIKE 'sys%'
GROUP BY name, index_id
ORDER BY cached_pages_count DESC

•  当前各表或索引在缓冲池中的页数量及大小:

SELECT obj.name ,obj.index_id,i.name ,count(*)AS cached_pages_count ,count(*)*8/1024 AS cached_space_in_mb
FROM sys.dm_os_buffer_descriptors AS bd
INNER JOIN (
SELECT object_name(object_id) AS name,object_id,index_id ,allocation_unit_id
FROM sys.allocation_units AS au
INNER JOIN sys.partitions AS p ON au.container_id = p.hobt_id AND (au.type = 1 OR au.type = 3)
UNION ALL
SELECT object_name(object_id) AS name,object_id,index_id, allocation_unit_id
FROM sys.allocation_units AS au
INNER JOIN sys.partitions AS p ON au.container_id = p.partition_id AND au.type = 2
) AS obj ON bd.allocation_unit_id = obj.allocation_unit_id
LEFT JOIN sys.indexes i(nolock) on obj.object_id = i.object_id AND obj.index_id = i.index_id
WHERE database_id = db_id() AND obj.name NOT LIKE 'sys%'
GROUP BY obj.name ,obj.index_id,i.name
ORDER BY cached_pages_count DESC;

•  统计当前内存分配情况 :

select
physical_memory_in_bytes / 1024 / 1024 as physical_memory_mb,
virtual_memory_in_bytes / 1024 / 1024 as virtual_memory_mb,
bpool_committed * 8 / 1024 as bpool_committed_mb,
bpool_commit_target * 8 / 1024 as bpool_target_mb,
bpool_visible * 8 / 1024 as bpool_visible_mb
from sys.dm_os_sys_info

•  当前内存脏页数量及大小 :

SELECT db_name(database_id) AS 'Database'
,count(page_id) AS 'Dirty Pages'
,count(page_id)*8/1024 AS 'Dirty Pages(MB)'
FROM sys.dm_os_buffer_descriptors(nolock)
WHERE is_modified =1
GROUP BY db_name(database_id)
ORDER BY 'Dirty Pages' DESC

•  缓存类型数量大小 :

select cacheobjtype as [Cached Type]
,COUNT(*) [Number of Plans]
,SUM(CONVERT(BIGINT,size_in_bytes))/1024/1024 [Plan Cache Size(MB)]
from sys.dm_exec_cached_plans
group by cacheobjtype
order by [Plan Cache Size(MB)] desc

•  缓存对象数量大小   :

select objtype as [Cached Object Type]
,COUNT(*) as [Number of Plans]
,SUM(CONVERT(BIGINT,size_in_bytes))/1024/1024 [Plan Cache Size(MB)]
,avg(usecounts) [Avg Use Count]
from sys.dm_exec_cached_plans
group by objtype
order by [Plan Cache Size(MB)] desc

•  内存对象   :

SELECT top 10 * FROM sys.dm_os_memory_cache_counters(nolock)
ORDER BY entries_count DESC; SELECT * FROM sys.dm_os_memory_clerks a
WHERE name='TokenAndPermUserStore' SELECT * FROM sys.dm_os_memory_cache_entries(nolock)
WHERE [type]='USERSTORE_TOKENPERM' and name='TokenAndPermUserStore'

•  缓存分析对象   :

SELECT * FROM sys.syscacheobjects
SELECT * FROM sys.dm_exec_cached_plans

•  即时查询优化(运行即生效)    :

EXEC sp_configure 'show advanced options',1
RECONFIGURE
EXEC sp_configure 'optimize for ad hoc workloads',1
RECONFIGURE

all code :

--查看设置的最大最小每次
exec sp_configure 'max server memory (MB)'
exec sp_configure 'min server memory (MB)' --SqlServer目标内存、当前内存 、数据库内存页数
SELECT object_name,counter_name,cntr_value,cntr_value/1024/1024 AS [cntr_value(GB)]
FROM sys.dm_os_performance_counters
WHERE counter_name in('Target Server Memory (KB)','Total Server Memory (KB)','Database pages') --系统物理内存使用情况
SELECT * FROM sys.dm_os_sys_info
SELECT * FROM sys.dm_os_sys_memory
SELECT * FROM sys.dm_os_process_memory --查看当前是否有等待内存授予的进程
Select a.*,b.text, c.query_plan
from sys.dm_exec_query_memory_grants a
CROSS APPLY sys.dm_exec_sql_text(sql_handle) b
CROSS APPLY sys.dm_exec_query_plan (plan_handle) c --SqlServer预留和提交内存情况
DBCC MEMORYSTATUS; --旧的方法 SELECT [type]
,SUM(virtual_memory_reserved_kb) AS [vm reserved]
,SUM(virtual_memory_committed_kb) AS [vm commited]
,SUM(awe_allocated_kb) AS [awe allocated]
,SUM(shared_memory_reserved_kb) AS [sm reserved]
,SUM(shared_memory_committed_kb) AS [sm committed]
,SUM(single_pages_kb) AS [Stolen in Buffer Pool]
,SUM(multi_pages_kb) AS [MemToLeave]
,SUM(single_pages_kb) + SUM(multi_pages_kb) AS [Stolen]
,SUM(virtual_memory_committed_kb) + SUM(multi_pages_kb) AS [Buffer Pool]
FROM sys.dm_os_memory_clerks
GROUP BY [type]
ORDER BY [type] desc --当前各数据库buffer pool的分配情况
SELECT
CASE database_id
WHEN 32767 THEN 'ResourceDb'
ELSE db_name(database_id) END AS Database_name
,count(*) AS cached_pages_count
,count(*)*8/1024 AS cached_space_in_mb
,sum(convert(bigint,free_space_in_bytes))/1024/1024 AS free_space_in_mb
FROM sys.dm_os_buffer_descriptors(nolock)
GROUP BY db_name(database_id) ,database_id
ORDER BY cached_pages_count DESC; --当前数据库各表buffer pool的分配情况
SELECT top(20) name ,index_id ,count(*)AS cached_pages_count
,count(*)*8/1024 AS cached_space_in_mb
FROM sys.dm_os_buffer_descriptors AS bd
INNER JOIN (
SELECT object_name(object_id) AS name ,index_id ,allocation_unit_id
FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p
ON au.container_id = p.hobt_id AND (au.type = 1 OR au.type = 3 )
UNION ALL
SELECT object_name(object_id) AS name,index_id, allocation_unit_id
FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p
ON au.container_id = p.hobt_id AND au.type = 2
) AS obj ON bd.allocation_unit_id = obj.allocation_unit_id
WHERE database_id = db_id() AND obj.name NOT LIKE 'sys%'
GROUP BY name, index_id
ORDER BY cached_pages_count DESC -- 当前各表或索引在缓冲池中的页数量及大小
SELECT obj.name ,obj.index_id,i.name ,count(*)AS cached_pages_count ,count(*)*8/1024 AS cached_space_in_mb
FROM sys.dm_os_buffer_descriptors AS bd
INNER JOIN (
SELECT object_name(object_id) AS name,object_id,index_id ,allocation_unit_id
FROM sys.allocation_units AS au
INNER JOIN sys.partitions AS p ON au.container_id = p.hobt_id AND (au.type = 1 OR au.type = 3)
UNION ALL
SELECT object_name(object_id) AS name,object_id,index_id, allocation_unit_id
FROM sys.allocation_units AS au
INNER JOIN sys.partitions AS p ON au.container_id = p.partition_id AND au.type = 2
) AS obj ON bd.allocation_unit_id = obj.allocation_unit_id
LEFT JOIN sys.indexes i(nolock) on obj.object_id = i.object_id AND obj.index_id = i.index_id
WHERE database_id = db_id() AND obj.name NOT LIKE 'sys%'
GROUP BY obj.name ,obj.index_id,i.name
ORDER BY cached_pages_count DESC; -- 统计当前内存分配情况
select
physical_memory_in_bytes / 1024 / 1024 as physical_memory_mb,
virtual_memory_in_bytes / 1024 / 1024 as virtual_memory_mb,
bpool_committed * 8 / 1024 as bpool_committed_mb,
bpool_commit_target * 8 / 1024 as bpool_target_mb,
bpool_visible * 8 / 1024 as bpool_visible_mb
from sys.dm_os_sys_info --当前内存脏页数量及大小
SELECT db_name(database_id) AS 'Database'
,count(page_id) AS 'Dirty Pages'
,count(page_id)*8/1024 AS 'Dirty Pages(MB)'
FROM sys.dm_os_buffer_descriptors(nolock)
WHERE is_modified =1
GROUP BY db_name(database_id)
ORDER BY 'Dirty Pages' DESC --缓存类型数量大小
select cacheobjtype as [Cached Type]
,COUNT(*) [Number of Plans]
,SUM(CONVERT(BIGINT,size_in_bytes))/1024/1024 [Plan Cache Size(MB)]
from sys.dm_exec_cached_plans
group by cacheobjtype
order by [Plan Cache Size(MB)] desc --缓存对象数量大小
select objtype as [Cached Object Type]
,COUNT(*) as [Number of Plans]
,SUM(CONVERT(BIGINT,size_in_bytes))/1024/1024 [Plan Cache Size(MB)]
,avg(usecounts) [Avg Use Count]
from sys.dm_exec_cached_plans
group by objtype
order by [Plan Cache Size(MB)] desc --内存对象
SELECT top 10 * FROM sys.dm_os_memory_cache_counters(nolock)
ORDER BY entries_count DESC; SELECT * FROM sys.dm_os_memory_clerks a
WHERE name='TokenAndPermUserStore' SELECT * FROM sys.dm_os_memory_cache_entries(nolock)
WHERE [type]='USERSTORE_TOKENPERM' and name='TokenAndPermUserStore' --缓存分析对象
SELECT * FROM sys.syscacheobjects
SELECT * FROM sys.dm_exec_cached_plans --即时查询优化(运行即生效)
EXEC sp_configure 'show advanced options',1
RECONFIGURE
EXEC sp_configure 'optimize for ad hoc workloads',1
RECONFIGURE

SQL Server 内存使用情况的更多相关文章

  1. sql server内存使用情况

    查看Sql Server 数据库的内存使用情况 转自:https://www.cnblogs.com/wanghao4023030/p/8299478.html    DBCC MemoryStatu ...

  2. SQL Server内存遭遇操作系统进程压榨案例

    场景: 最近一台DB服务器偶尔出现CPU报警,我的邮件报警阈(请读yù)值设置的是15%,开始时没当回事,以为是有什么统计类的查询,后来越来越频繁. 探索: 我决定来查一下,究竟是什么在作怪,我排查的 ...

  3. SQL SERVER 内存分配及常见内存问题 简介

    一.问题: 1.SQL Server 所占用内存数量从启动以后就不断地增加: 首先,作为成熟的产品,内存溢出的机会微乎其微.对此要了解SQL SERVER与windows是如何协调.共享内存.并且SQ ...

  4. SQL SERVER 内存分配及常见内存问题(1)——简介

    原文:SQL SERVER 内存分配及常见内存问题(1)--简介 一.问题: 1.SQL Server 所占用内存数量从启动以后就不断地增加: 首先,作为成熟的产品,内存溢出的机会微乎其微.对此要了解 ...

  5. (转)SQL Server内存遭遇操作系统进程压榨案例

    原文地址:http://www.cnblogs.com/zc_0101/p/3592259.html 场景: 最近一台DB服务器偶尔出现CPU报警,我的邮件报警阈(请读yù)值设置的是15%,开始时没 ...

  6. Sql Server 内存相关计数器以及内存压力诊断

    在数据库服务器中,内存是数据库对外提供服务最重要的资源之一, 不仅仅是Sql Server,包括其他数据库,比如Oracle,MySQL等,都是一类非常喜欢内存的应用. 在Sql Server服务器中 ...

  7. SQL SERVER 内存学习系列(二)-DMV查看内存信息

    内存管理在SQL Server中有一个三级结构.底部是内存节点,这是最低级的分配器,用于SQL Server的内存.第二个层次是由内存Clerk组成,这是用来访问内存节点和缓存存储,缓存存储则用于缓存 ...

  8. SQL SERVER 内存学习系列(一)

    最近帮客户解决发布订阅的问题时,突然遇到这样一个问题发布订阅中报下面的错误,另外执行alter table 操作时也会报错 : 问题很奇怪发布订阅和CLR有什么关系?memtoleave内存是个啥?回 ...

  9. 人人都是 DBA(IV)SQL Server 内存管理

    SQL Server 的内存管理是一个庞大的主题,涉及特别多的概念和技术,例如常见的 Plan Cache.Buffer Pool.Memory Clerks 等.本文仅是管中窥豹,描述常见的内存管理 ...

随机推荐

  1. javascript中构造函数知识总结

    构造函数的说明 1.1 构造函数是一个模板 构造函数,是一种函数,主要用来在创建对象时对 对象 进行初始化(即为对象成员变量赋初始值),并且总是与new运算符一起使用. 1.2 new 运算符 new ...

  2. Android拍照,录制视频,相机简单功能实现

    1.效果图,功能没有录制出来. 基本实现了拍照,录制视频,前后摄像头切换的功能,可以转屏,聚焦. 代码在最下面,可以看代码,运行apk看实际效果. 2.权限不能忘 <uses-permissio ...

  3. css3 flex 详解,可以实现div内容水平垂直居中

    先说一下flex一系列属性: 一.flex-direction: (元素排列方向) ※ flex-direction:row (横向从左到右排列==左对齐) ※ flex-direction:row- ...

  4. 【图文】Excel中vlookup函数的使用方法

    今天统计数据,用到了Excel中vlookup函数,第一次使用当然少不了百度,经过反复研究后,算是解决了问题,现整理成文档. 一.实现效果 Sheet1 Sheet2   注:上图中sheet1商品条 ...

  5. 转载:关于 python ImportError: No module named 的问题

    关于 python ImportError: No module named 的问题 今天在 centos 下安装 python setup.py install 时报错:ImportError: N ...

  6. span可编辑 属性 html 可编辑td

    <span contenteditable="true">11111111111111111</span> <!DOCTYPE html PUBLIC ...

  7. 远程连接windows出现身份验证错误,提示"由于CredSSP加密Oracle修正"解决方案

    本机操作系统(OS版本:10.0.17134) 远程计算机操作系统(OS版本:6.3.9600) 远程连接的时候报错“出现身份验证错误,要求的函数不受支持.远程计算机:xxx 这可能是由于CredSS ...

  8. 企业级任务调度框架Quartz(4) 多个job实例注册到任务调度器上

    前序:     在第一个例子我看到了自定义的作业类在任务调度器上注册后,则通过任务调度器来实现启动:下面,我们将同一个作业类执行两个任务,并都将他们注册到任务调度器上!     首先一个job类指向两 ...

  9. WEBGL学习【十三】鼠标点击立方体改变颜色的原理与实现

    // PickFace.js (c) 2012 matsuda and kanda // Vertex shader program var VSHADER_SOURCE = 'attribute v ...

  10. jenkins 自动化部署

    Execute shell Command BUILD_ID=DONTKILLMEif [ ! -d "/usr/jenkins/$JOB_NAME" ]; then mkdir ...