Home Database Mysql Tutorial 成功安装 Oracle11G FOR Linux

成功安装 Oracle11G FOR Linux

Jun 07, 2016 pm 04:51 PM

经过几天的折腾,终于安装成功Oracle11Gr Linux,开始安装了RS4.0下载了Oracle10g的若干版本,要么出现Oracle和Linux不兼容的问题,要么就是

经过几天的折腾,终于安装成功Oracle11G FOR Linux,开始安装了RS4.0下载了Oracle10g的若干版本,要么出现Oracle和Linux不兼容的问题,要么就是找不到inventory目录的问题,要么就是安装过程中不能启动net config的问题,,昨天经过大胆尝试终于成功,下面把自己的经验记录下来以做备忘:

1、下载RS5.0企业版,我是在迅雷里面下载的DVD版,不要忘了找个序列号,我找到一个Red Hat Enterprise Linux (Server including virtualization):

2515dd4e215225dd

2、到Oracle官方网站下载Oracle11G

下面我们就开始安装吧:

1。新建用户组

 # /usr/sbin/groupadd oinstall

 # /usr/sbin/groupadd dba

 2。新建用户并设置密码

 # /usr/sbin/useradd -g oinstall -G dba oracle

 # passwd oracle

3.设置目录权权限

 # chown -R oracle:oinstall /ora10g/app/oracle /ora10b/oradata

 # chmod -R 775 /ora10g/app/oracle /ora10b/oradata

4.将下列配置加到 /etc/security/limits.conf 文件中:

               soft    nproc   2047

               hard    nproc   16384

               soft    nofile  1024

               hard    nofile  65536

增加下列配置到 /etc/pam.d/login  文件中:

session    required     /lib/security/pam_limits.so

对于单独使用Oracle用户的shell,增加下列脚本到配置文件/etc/profile 中:

if [ $USER = "oracle" ]; then

        if [ $SHELL = "/bin/ksh" ]; then

              ulimit -p 16384

              ulimit -n 65536

        else

              ulimit -u 16384 -n 65536

        fi

fi

设置用户oracle的环境变量

 1。以用户oracle登录:

    在配置文件.bash_profile文件中增加: umask 022  设置该用户的默认umask

    执行$ . ./.bash_profile 配置生效。

 2。设置临时文件目录

    $ TEMP=/directory

    $ TMPDIR=/directory

    $ export TEMP TMPDIR

 4。设置ORACLE_BASE和ORACLE_SID变量

    $ ORACLE_BASE= /ora10g/app/oracle      //这是在前面建立的Oracle的主程序目录

    $ ORACLE_SID=sales

    $ export ORACLE_BASE ORACLE_SID

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

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
WWE 2K25: How To Unlock Everything In MyRise
1 months ago By 尊渡假赌尊渡假赌尊渡假赌

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)

How do you alter a table in MySQL using the ALTER TABLE statement? How do you alter a table in MySQL using the ALTER TABLE statement? Mar 19, 2025 pm 03:51 PM

The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

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.

How do I configure SSL/TLS encryption for MySQL connections? How do I configure SSL/TLS encryption for MySQL connections? Mar 18, 2025 pm 12:01 PM

Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

What are some popular MySQL GUI tools (e.g., MySQL Workbench, phpMyAdmin)? What are some popular MySQL GUI tools (e.g., MySQL Workbench, phpMyAdmin)? Mar 21, 2025 pm 06:28 PM

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

How do you handle large datasets in MySQL? How do you handle large datasets in MySQL? Mar 21, 2025 pm 12:15 PM

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

How do you drop a table in MySQL using the DROP TABLE statement? How do you drop a table in MySQL using the DROP TABLE statement? Mar 19, 2025 pm 03:52 PM

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.

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.

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.

See all articles