Fedora core 7(FC7)中成功安装Oracle10g
经过数天的苦战,我终于成功的在Fedora core 7(FC7)中安装了oracle10g,由于玩Linux没多久,又是第一次安装oracle,期间经历了很多磨难,其
经过数天的苦战,我终于成功的在Fedora core 7(FC7)中安装了Oracle10g,由于玩Linux没多久,又是第一次安装oracle,期间经历了很多磨难,其中那个该死的U盘破坏.rar文件着实让俺吃了不少苦头,因为这个我下了N次数据库文件,因为我从来没有怀疑过它,我怀疑的是我下载的文件被破坏了(包括官方下载),期间还重装了好几次FC7,搞的我现在装Linux比装XP还娴熟。好了,思苦这事不能多干,到此打住,抬起头来向前看。现将详细过程记录下来,方便自己也方便别人
注意
1.我安装FC7的时候是没有开防火墙的,因为我怕麻烦!
2.安装前请确保/etc/hosts文件的显示形式为:
如:127.0.0.1 localhost.localdomain localhost
-----------------
详细安装步骤:
1.安装oracle需要的软件包
Editors
Graphical Internet
Administration Tools
Base
X Window System
System Tools
Server Configuration Tools
GNOME Desktop Environment
Development Libraries
Development Tools
Legacy Software Support
Hardware Support
2.在安装oracle之前,当然得下好安装文件10201_database_Linux32.zip,,然后将其解压放到一个地方,最好放到/tmp目录下面,因为如果放到root文件下的话以后安装的时候oracle用户没有权限访问,又要改权限,不很方便。解压:
unzip 10201_database_Linux32.zip
3.设置系统参数
将下面部分拷贝到/etc/sysctl.conf文件后面
kernel.shmall = 2097152
kernel.shmmax = 2147483648
kernel.shmmni = 4096
# semaphores: semmsl, semmns, semopm, semmni
kernel.sem = 250 32000 100 128
fs.file-max = 65536
net.ipv4.ip_local_port_range = 1024 65000
net.core.rmem_default=262144
net.core.rmem_max=262144
net.core.wmem_default=262144
net.core.wmem_max=262144
当然也可以通过终端修改。运行此命令使其生效:
/sbin/sysctl -p
4.将下面灰色部分拷贝到 /etc/security/limits.conf文件中:
* soft nproc 2047
* hard nproc 16384
* soft nofile 1024
* hard nofile 65536
5.将下面灰色部分拷贝到/etc/pam.d/login文件中
session required /lib/security/pam_limits.so
6.修改文件/etc/seLinux/config
使其中SELinux=disabled
SELinux=disabled
7.然后通过终端添加安装需要的rpm包,这些包在DVD光盘的FEDORA目录中。
cd /media/dvd/Fedora-----------(可能不同,自己找到路径)
rpm -Uvh setarch-*
rpm -Uvh --force tcl-*
rpm -Uvh compat-db-*
rpm -Uvh --force libXau-devel-*
还有在Fedora7光盘中没有的包,我们利用yum来添加,很快,十几分钟可以搞定。
yum install libXp libaio
yum install compat-libstdc++* compat-libf2c* compat-gcc* compat-libgcc*
8.创建安装需要的组和用户
groupadd oinstall
groupadd dba
groupadd oper
useradd -g oinstall -G dba oracle
passwd oracle

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.

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.

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.

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 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 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.

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.

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.
