Home Database Mysql Tutorial RHEL 5.3 下单节点Oracle 11G RAC的安装

RHEL 5.3 下单节点Oracle 11G RAC的安装

Jun 07, 2016 pm 05:05 PM

RHEL 5.3 下单节点Oracle 11G RAC的安装,开始测试Oracle 11g rac,本本的性能有限,因此装个单节点rac。步骤如下:

开始测试Oracle 11g rac,本本的性能有限,因此装个单节点rac。步骤如下:

网卡绑定 修改/etc/modprobe.conf 和/etc/sysconfig/network-scripts下的ifcfg-bond*  ifcfg-eth*

这里不再多说

配置Xmanager连接

vi /usr/share/gdm/defaults.conf

将[xdmcp]下的Enable=false 改成 Enable=true

AllowRemoteRoot=false 改成 AllowRemoteRoot=true

使之生效:

gdm-restart

检查系统中是否安装了需要的包

需要安装的包的清单: 

binutils-2.15.92.0.2
compat-libstdc++-33-3.2.3
compat-libstdc++-33-3.2.3 (32 bit)
elfutils-libelf-0.97
elfutils-libelf-devel-0.97
expat-1.95.7
gcc-3.4.6
gcc-c++-3.4.6
glibc-2.3.4-2.41
glibc-2.3.4-2.41 (32 bit)
glibc-common-2.3.4
glibc-devel-2.3.4
glibc-headers-2.3.4
libaio-0.3.105
libaio-0.3.105 (32 bit)
libaio-devel-0.3.105
libaio-devel-0.3.105 (32 bit)
libgcc-3.4.6
libgcc-3.4.6 (32-bit)
libstdc++-3.4.6
libstdc++-3.4.6 (32 bit)
libstdc++-devel 3.4.6
make-3.80
pdksh-5.2.14
sysstat-5.0.5
unixODBC-2.2.11
unixODBC-2.2.11 (32 bit)
unixODBC-devel-2.2.11
unixODBC-devel-2.2.11 (32 bit)

 

rpm -q --qf '%{NAME}-%{VERSION}-%{RELEASE} (%{ARCH})\n'binutils \
compat-libstdc++-33 \
elfutils-libelf \
elfutils-libelf-devel \
gcc \
gcc-c++ \
glibc \
glibc-common \
glibc-devel \
glibc-headers \
ksh \
libaio \
libaio-devel \
libgcc \
libstdc++ \
libstdc++-devel \
make \
sysstat \
unixODBC \
unixODBC-devel


创建用户


新建几个用户组

groupadd -g 1000 oinstall

groupadd -g 1020 asmadmin

groupadd -g 1021 asmdba

groupadd -g 1031 dba

groupadd -g 1022 asmoper

 

创建用户

useradd -u 1100 -g oinstall -G asmadmin,asmdba grid

useradd -u 1101 -g oinstall -G dba,asmdba oracle

 

passwd oracle

passwd grid 

修改环境变量

  • cat>>/home/grid/.bashrc
  • if [ -t 0 ]; then  
  • stty intr ^C  
  • fi  
  • export ORACLE_BASE=/opt/app/oracle  
  • export ORACLE_HOME=/opt/app/11.2.0/grid  
  • export ORACLE_SID=+ASM1  
  • export PATH=\$ORACLE_HOME/bin:\$PATH  
  • umask 022  
  • EOF  
  •  

  • cat>>/home/oracle/.bashrc
  • if [ -t 0 ]; then  
  • stty intr ^C  
  • fi  
  • export ORACLE_BASE=/opt/app/oracle  
  • export ORACLE_HOME=/opt/app/oracle/product/11.2.0/db_1  
  • export ORACLE_SID=oradb1  
  • export PATH=\$ORACLE_HOME/bin:\$PATH  
  • umask 022  
  • EOF  

  •  

  • cat>>/root/.bashrc
  • export PATH=/opt/app/11.2.0/grid/bin:/opt/app/oracle/product/11.2.0/db_1/bin:\$PATH  
  • EOF  
  • linux

    Statement of this Website
    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

    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

    Notepad++7.3.1

    Notepad++7.3.1

    Easy-to-use and free code editor

    SublimeText3 Chinese version

    SublimeText3 Chinese version

    Chinese version, very easy to use

    Zend Studio 13.0.1

    Zend Studio 13.0.1

    Powerful PHP integrated development environment

    Dreamweaver CS6

    Dreamweaver CS6

    Visual web development tools

    SublimeText3 Mac version

    SublimeText3 Mac version

    God-level code editing software (SublimeText3)

    When might a full table scan be faster than using an index in MySQL? When might a full table scan be faster than using an index in MySQL? Apr 09, 2025 am 12:05 AM

    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.

    Explain InnoDB Full-Text Search capabilities. Explain InnoDB Full-Text Search capabilities. Apr 02, 2025 pm 06:09 PM

    InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

    Can I install mysql on Windows 7 Can I install mysql on Windows 7 Apr 08, 2025 pm 03:21 PM

    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.

    Difference between clustered index and non-clustered index (secondary index) in InnoDB. Difference between clustered index and non-clustered index (secondary index) in InnoDB. Apr 02, 2025 pm 06:25 PM

    The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values ​​and pointers to data rows, and is suitable for non-primary key column queries.

    MySQL: Simple Concepts for Easy Learning MySQL: Simple Concepts for Easy Learning Apr 10, 2025 am 09:29 AM

    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.

    Explain different types of MySQL indexes (B-Tree, Hash, Full-text, Spatial). Explain different types of MySQL indexes (B-Tree, Hash, Full-text, Spatial). Apr 02, 2025 pm 07:05 PM

    MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

    The relationship between mysql user and database The relationship between mysql user and database Apr 08, 2025 pm 07:15 PM

    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.

    Can mysql and mariadb coexist Can mysql and mariadb coexist Apr 08, 2025 pm 02:27 PM

    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.

    See all articles