search
HomeDatabaseMysql Tutorialsqlserver内存释放

注:本人在用sqlserver2000测试 ,很多命令都不能用 由于Sql Server对于系统内存的管理策略是有多少占多少,除非系统内存不够用了(大约到剩余内存为4M左右), Sql Server才会释放一点点内存。所以很多时候,我们会发现运行Sql Server的系统内存往往居高不下。

   注:本人在用sqlserver2000测试 ,很多命令都不能用

  由于Sql Server对于系统内存的管理策略是有多少占多少,,除非系统内存不够用了(大约到剩余内存为4M左右),

  Sql Server才会释放一点点内存。所以很多时候,我们会发现运行Sql Server的系统内存往往居高不下。

  这些内存一般都是Sql Server运行时候用作缓存的,例如你运行一个select语句,

  那么Sql Server会将相关的数据页(Sql Server操作的数据都是以页为单位的)加载到内存中来,

  下一次如果再次请求此页的数据的时候,就无需读取磁盘了,大大提高了速度。这类的缓存叫做数据缓存。

  还有一些其他类型的缓存,如执行存储过程时,Sql Server需要先编译再运行,编译后的结果也会缓存起来,

  下一次就无需再次编译了。如果这些缓存已经不需要了,那么我们可以调用以下几个DBCC管理命令来清理这些缓存:

  DBCC FREEPROCCACHE

  DBCC FREESESSIONCACHE

  DBCC FREESYSTEMCACHE('All')

  DBCC DROPCLEANBUFFERS

  这几个命令分别用来清除存储过程相关的缓存、会话缓存、系统缓存以及所有所有缓存

  但是需要注意的是,这几个命令虽然会清除掉现有缓存,为新的缓存腾地方,

  但是Sql server并不会因此释放掉已经占用的内存。无奈的是,Sql Server

  并没有提供任何命令允许我们释放不用到的内存。因此我们只能通过动态调整

  Sql Server可用的物理内存设置来强迫它释放内存。

  我们也可以通过Sql Server Management企业管理器进行动态控制。

  连接到企业管理器之后打开Sql Server实例的属性面板,

  找到内存设置,改变其中的最大服务器内存使用即可

  --内存使用情况

  SELECT * FROM sys.dm_os_performance_counters

  WHERE counter_name IN ('Target Server Memory (KB)','Total Server Memory (KB)')

  -- 内存状态

  DBCC MemoryStatus

  --查看最小最大内存

  SELECT

  cfg.name AS [Name],

  cfg.configuration_id AS [Number],

  cfg.minimum AS [Minimum],

  cfg.maximum AS [Maximum],

  cfg.is_dynamic AS [Dynamic],

  cfg.is_advanced AS [Advanced],

  cfg.value AS [ConfigValue],

  cfg.value_in_use AS [RunValue],

  cfg.description AS [Description]

  FROM

  sys.configurations AS cfg

  --设置最小最大内存

  sp_configure 'show advanced options', 1

  go

  sp_configure 'min server memory', 0

  RECONFIGURE

  GO

  sp_configure 'max server memory', 2147483647

  RECONFIGURE

  GO

  sp_configure 'max server memory', 256

  RECONFIGURE

  GO

  sp_configure 'show advanced options', 0

  -----------------------------------------------------------------------------------------------

  CREATE proc [dbo].reclaimmemory --强制释放内存

  as

  begin

  DBCC FREEPROCCACHE

  DBCC FREESESSIONCACHE

  DBCC FREESYSTEMCACHE('All')

  DBCC DROPCLEANBUFFERS

  exec sp_configure 'max server memory', 256

  EXEC ('RECONFIGURE' )

  WAITFOR DELAY '00:00:05'

  EXEC sp_configure 'max server memory', 2147483647

  EXEC ('RECONFIGURE' )

  GO

  end

  --使用示例

  /*

  reclaimmemory

  */

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
How do you handle database upgrades in MySQL?How do you handle database upgrades in MySQL?Apr 30, 2025 am 12:28 AM

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

What are the different backup strategies you can use for MySQL?What are the different backup strategies you can use for MySQL?Apr 30, 2025 am 12:28 AM

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

What is MySQL clustering?What is MySQL clustering?Apr 30, 2025 am 12:28 AM

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

How do you optimize database schema design for performance in MySQL?How do you optimize database schema design for performance in MySQL?Apr 30, 2025 am 12:27 AM

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

How can you optimize MySQL performance?How can you optimize MySQL performance?Apr 30, 2025 am 12:26 AM

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi

How to use MySQL functions for data processing and calculationHow to use MySQL functions for data processing and calculationApr 29, 2025 pm 04:21 PM

MySQL functions can be used for data processing and calculation. 1. Basic usage includes string processing, date calculation and mathematical operations. 2. Advanced usage involves combining multiple functions to implement complex operations. 3. Performance optimization requires avoiding the use of functions in the WHERE clause and using GROUPBY and temporary tables.

An efficient way to batch insert data in MySQLAn efficient way to batch insert data in MySQLApr 29, 2025 pm 04:18 PM

Efficient methods for batch inserting data in MySQL include: 1. Using INSERTINTO...VALUES syntax, 2. Using LOADDATAINFILE command, 3. Using transaction processing, 4. Adjust batch size, 5. Disable indexing, 6. Using INSERTIGNORE or INSERT...ONDUPLICATEKEYUPDATE, these methods can significantly improve database operation efficiency.

Steps to add and delete fields to MySQL tablesSteps to add and delete fields to MySQL tablesApr 29, 2025 pm 04:15 PM

In MySQL, add fields using ALTERTABLEtable_nameADDCOLUMNnew_columnVARCHAR(255)AFTERexisting_column, delete fields using ALTERTABLEtable_nameDROPCOLUMNcolumn_to_drop. When adding fields, you need to specify a location to optimize query performance and data structure; before deleting fields, you need to confirm that the operation is irreversible; modifying table structure using online DDL, backup data, test environment, and low-load time periods is performance optimization and best practice.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor