使用RAC和Data Guard构建MAA架构
在前面的单实例数据库迁移至rac环境配置过程中(见 http://www.linuxidc.com/Linux/2012-01/52055.htm ),介绍了使用standby技术
在前面的单实例数据库迁移至rac环境配置过程中(见 ),,介绍了使用standby技术构建单实例主库对应rac物理备库的data guard模型,本节中将介绍rac主库对应单实例物理备库的data guard模型构建;在MAA架构中,ASM提供了存储方面的网格,RAC提供了数据库层面上的网格计算,data guard则着重强调在数据的备份和容灾方面,更多MAA方面的知识,参考下面的链接!
一:主备库的环境介绍
主库:
数据库版本:10.2.0.5
OS版本:CentOS4.8 64位
数据库名:rac(两个实例)
实例名:rac1,rac2
IP地址:192.168.1.41/24,192.168.1.42/24
db_unique_name: rac
服务名:rac.yang.com
监听器端口:1521
存储类型:OMF+ASM磁盘组,+DATA,+FRA
备库:
数据库版本:10.2.0.5
OS版本:rhel5.4 64位
数据库名:rac (单实例)
实例名:orcl
IP地址:192.168.1.49/24
db_unique_name: orcl
服务名:orcl.yang.com
监听器端口:1521
存储类型:文件系统+OMF
在开始前确保主库rac环境正常,备库只需要安装数据库软件即可,不需要建库
[Oracle@rac1 ~]$ crs_stat -t -v
Name Type R/RA F/FT Target State Host
----------------------------------------------------------------------
ora.rac.db application 0/0 0/1 ONLINE ONLINE rac1
ora....c1.inst application 0/5 0/0 ONLINE ONLINE rac1
ora....c2.inst application 0/5 0/0 ONLINE ONLINE rac2
ora....SM1.asm application 0/5 0/0 ONLINE ONLINE rac1
ora....C1.lsnr application 0/5 0/0 ONLINE ONLINE rac1
ora.rac1.gsd application 0/5 0/0 ONLINE ONLINE rac1
ora.rac1.ons application 0/3 0/0 ONLINE ONLINE rac1
ora.rac1.vip application 0/0 0/0 ONLINE ONLINE rac1
ora....SM2.asm application 0/5 0/0 ONLINE ONLINE rac2
ora....C2.lsnr application 0/5 0/0 ONLINE ONLINE rac2
ora.rac2.gsd application 0/5 0/0 ONLINE ONLINE rac2
ora.rac2.ons application 0/3 0/0 ONLINE ONLINE rac2
ora.rac2.vip application 0/0 0/0 ONLINE ONLINE rac2
二:配置监听器和tnsnames.ora文件如下,rac节点2上需要同样进行配置
[oracle@rac1 ~]$ cat $ORACLE_HOME/network/admin/listener.ora
LISTENER_RAC1 =
(DESCRIPTION_LIST =
(DESCRIPTION =
(ADDRESS = (PROTOCOL = TCP)(HOST = rac1-vip.yang.com)(PORT = 1521)(IP = FIRST))
(ADDRESS = (PROTOCOL = TCP)(HOST = 192.168.1.41)(PORT = 1521)(IP = FIRST))
)
)
SID_LIST_LISTENER_RAC1 =
(SID_LIST =
(SID_DESC =
(ORACLE_HOME = /u01/app/oracle/product/10.2.0/db_1)
(GLOBAL_DBNAME=rac_DGMGRL.yang.com)
(SID_NAME = rac1)
)
)
Connected to:
Oracle Database 10g Enterprise Edition Release 10.2.0.5.0 - 64bit Production
With the Partitioning, Real Application Clusters, OLAP, Data Mining
and Real Application Testing options
SQL>
[oracle@rac1 ~]$ cat $ORACLE_HOME/admin/tnsnames.ora
LISTENERS_RAC =
(ADDRESS_LIST =
(ADDRESS = (PROTOCOL = TCP)(HOST = rac1-vip.yang.com)(PORT = 1521))
(ADDRESS = (PROTOCOL = TCP)(HOST = rac2-vip.yang.com)(PORT = 1521))
)
LISTENER_RAC1 =
(ADDRESS_LIST =
(ADDRESS = (PROTOCOL = TCP)(HOST = rac1-vip.yang.com)(PORT = 1521))
)
LISTENER_RAC2 =
(ADDRESS_LIST =
(ADDRESS = (PROTOCOL = TCP)(HOST = rac1-vip.yang.com)(PORT = 1521))
)
RAC =
(DESCRIPTION =
(ADDRESS = (PROTOCOL = TCP)(HOST = rac1-vip.yang.com)(PORT = 1521))
(ADDRESS = (PROTOCOL = TCP)(HOST = rac2-vip.yang.com)(PORT = 1521))
(LOAD_BALANCE = yes)
(CONNECT_DATA =
(SERVER = DEDICATED)
(SERVICE_NAME = rac.yang.com)
)
)

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











The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.
