Oracle 11g新参数memory_target
Oracle9i引入pga_aggregate_target,可以自动对PGA进行调整;Oracle10引入sga_target,可以自动对SGA进行调整。Oracle11g则对这两
Oracle9i引入pga_aggregate_target,可以自动对PGA进行调整;
Oracle10引入sga_target,可以自动对SGA进行调整。
Oracle11g则对这两部分进行综合,引入memory_target,可以自动调整所有的内存,这就是新引入的自动内存管理特性。
下面我们通过以下的几个命令来让大家清楚memory_target 的设置与PGA与SGA的关系:
SQL> alter system set memory_target=200m scope=spfile;
System altered.
SQL> alter system set sga_target=0 scope=spfile;
System altered.
SQL> alter system set pga_aggregate_target=0 scope=spfile;
System altered.
SQL> shutdown immediate;
Database closed.
Database dismounted.
ORACLE instance shut down.
SQL> startup
ORACLE instance started.
Total System Global Area 209235968 bytes
Fixed Size 1298920 bytes
Variable Size 150998552 bytes
Database Buffers 54525952 bytes
Redo Buffers 2412544 bytes
Database mounted.
Database opened.
设置memory_target参数后,实际上Oracle会自动设置并调整以下两个参数来分配SGA和PGA的内存,这和Oracle10g自动设置sga_target后分配db_cache_size和shared_pool_size的机制是一样的
SQL> select a.ksppinm name,b.ksppstvl value
2 from x$ksppi a,x$ksppcv b
3 where a.indx=b.indx
4 and (a.ksppinm like '%sga_target%'
5 or a.ksppinm like '%pga_aggregate_target%');
NAME VALUE
---------------------------------------- ------------------------------
sga_target 0
__sga_target 125829120
pga_aggregate_target 0
__pga_aggregate_target 79691776
下面我们了解一下ORA-00845的由来与解决方案:
如果memory_max_target/memory_target设置过大,可能导致instance无法启动,报ORA-00845错误
SQL> alter system set memory_max_target=300m scope=spfile;
System altered.
SQL> shutdown immediate;
Database closed.
Database dismounted.
ORACLE instance shut down.
SQL> startup
ORA-00845: MEMORY_TARGET not supported on this system
这个错误有点误导,实际上这并不是说该平台版本上不支持AMM特性,,只是设置的memory_max_target超过了系统中设置的share memory(/dev/shm)而已。在Oracle11g for linux中似乎使用了一种新的机制来管理共享内存段,而不是传统的sys /dev/shm了。在alert.ora中可以找到更准确的错误描述
解决这个问题的办法之一是增加tmpfs文件系统的容量。
修改/etc/fstab中tmpfs对应的行,
将原来的 tmpfs /dev/shm tmpfs defaults 0 0
改成 tmpfs /dev/shm tmpfs defaults,size=1024M 0 0 ,这样tmpfs增大为1G
size参数也可以用G作单位:size=1G。
重新mount /dev/shm使之生效:
# mount -o remount /dev/shm
马上可以用"df -h"命令检查变化。
修改实例的MEMORY_TARGET参数。(这个在数据库关着的时候是行不能通的,用上面的那种比较彻底)
这个方法用alter system set memory_target=200M;

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

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

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.

LaravelEloquent Model Retrieval: Easily obtaining database data EloquentORM provides a concise and easy-to-understand way to operate the database. This article will introduce various Eloquent model search techniques in detail to help you obtain data from the database efficiently. 1. Get all records. Use the all() method to get all records in the database table: useApp\Models\Post;$posts=Post::all(); This will return a collection. You can access data using foreach loop or other collection methods: foreach($postsas$post){echo$post->

MySQL is suitable for beginners because it is simple to install, powerful and easy to manage data. 1. Simple installation and configuration, suitable for a variety of operating systems. 2. Support basic operations such as creating databases and tables, inserting, querying, updating and deleting data. 3. Provide advanced functions such as JOIN operations and subqueries. 4. Performance can be improved through indexing, query optimization and table partitioning. 5. Support backup, recovery and security measures to ensure data security and consistency.
