VMware上安装Oracle 10g RAC-ASM+裸设备
操作系统版本RHEL5.5-64bit,oracle10g,vmware workstation6.5,clusterware10.0.2版本的,两台虚拟机双网卡,本地磁盘40G,共享
2.给虚拟机添加共享磁盘,首先在node1上面添加一块共享磁盘,选择分配全部的空间(虚拟机下一定要这么设置,否则会导致共享存储配置不成功)
node1添加共享磁盘(sharedisk.vmdk)-开机-关机,然后编辑node1的虚拟机配置文件,添加如下选项:
然后编辑node2的虚拟机配置文件,添加如下选项:
关闭虚拟机软件,,然后分别打开两台虚拟机的电源,共享磁盘配置完毕
3.oracle安装环境准备
这里参照我以前的文章,oracle安装前期准备工作的设置
在两个节点上面创建对应文件夹
这里oracle的变量设置做下更改
4.建立hangcheck模块加载(在两个节点上面操作)
5.配置两台机器无密码访问,这里的配置要在两个节点上面进行
(1)以oracle 用户登录
(2)在oracle 用户的主目录内创建.ssh 目录并设置正确的权限
完成后,在node1 上执行:
如果不需要输入密码就出现系统日期,说明SSH 配置成功。
6.磁盘规划
这里我把共享磁盘分成6个区,sdb1和sdb2配制成裸设备,作为OCR镜像,sdb5,6,7也配置成裸设备,作votedisk镜像,sdb配置成ASM用来存放数据库
配置裸设备
在node2上面执行 partprobe,然后同样建立裸设备
7.在两个节点上面安装,注意要下载和自己内核版本对应的包
在两个节点上面执行/etc/init.d/oracleasm configure
分别输入oracle,dba,y,y
在node1上面配置ASM
在node2上面执行扫描(不需要配置)
8.开启安装进程,在两个节点上面以root用户身份运行
然后切换到oracle用户,开始安装clusterware
1)选择CRS的安装目录
2)两个集群节点的配置
3)选择eth0网卡为公网IP
4)配置OCR存储位置
5)配置votedisk存储位置
6)安装
7)执行最后的安装脚本
在节点node1上面执行
在节点node2上面执行
在节点node1上面执行
在节点node2上面执行
安装结束,查看节点状态

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











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.

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.

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

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.
