在最小安装的RedHat i386上安装Oracle 10.2.0.1
1. 解决包依赖rpm -Uvh ./disk3/RedHat/RPMS/glibc-kernheaders-2.4-9.1.100.EL.i386.rpmrpm -Uvh ./disk3/RedHat/RPMS/glibc-he
1. 解决包依赖
rpm -Uvh ./disk3/RedHat/RPMS/glibc-kernheaders-2.4-9.1.100.EL.i386.rpm
rpm -Uvh ./disk3/RedHat/RPMS/glibc-headers-2.3.4-2.36.i386.rpm
rpm -Uvh ./disk3/RedHat/RPMS/glibc-devel-2.3.4-2.36.i386.rpm
rpm -Uvh ./disk3/RedHat/RPMS/gcc-3.4.6-8.i386.rpm
rpm -Uvh ./disk2/RedHat/RPMS/libstdc++-3.4.6-8.i386.rpm
rpm -Uvh ./disk3/RedHat/RPMS/libstdc++-devel-3.4.6-8.i386.rpm
rpm -Uvh ./disk4/RedHat/RPMS/compat-gcc-32-c++-3.2.3-47.3.i386.rpm
rpm -Uvh ./disk4/RedHat/RPMS/compat-gcc-32-3.2.3-47.3.i386.rpm
rpm -Uvh ./disk2/RedHat/RPMS/compat-libstdc++-33-3.2.3-47.3.i386.rpm
2. 创建组
groupadd oinstall
groupadd dba
3. 创建用户
useradd -g oinstall -G dba Oracle
passwd oracle
4. 确认用户nobody存在
id nobody
应返回类似uid=99(nobody) gid=99(nobody) groups=99(nobody)
5. 检查内核设置
参考文档
或直接修改/etc/sysctl.conf,添加内容如下
kernel.shmall = 2097152
kernel.shmmax = 2147483648
kernel.shmmni = 4096
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
(需要重新启动)
6. 修改oracle用户配置
修改 /etc/security/limits.conf,增加如下内容
oracle soft nproc 2047
oracle hard nproc 16384
oracle soft nofile 1024
oracle hard nofile 65536
修改 /etc/pam.d/login,增加如下内容
session required /lib/security/pam_limits.so
修改 /etc/profile,,增加如下内容
if [ $USER = "oracle" ]; then
if [ $SHELL = "/bin/ksh" ]; then
ulimit -p 16384
ulimit -n 65536
else
ulimit -u 16384 -n 65536
fi
fi
7. 创建文件夹
格式为/
这里用/u01/oracle/app/oracle
mkdir -p /u01/oracle/app/oracle
chown -R oracle:oinstall /u01/oracle/app/oracle
chmod -R 775 /u01/oracle/app/oracle
修改oracle用户的.profile,设置环境变量
ORACLE_BASE=/u01/oracle/app/oracle
export ORACLE_BASE
8. 创建Database文件夹及Recovery文件夹
mkdir /u01/oracle/app/oracle/oradata
chown oracle:oinstall /u01/oracle/app/oracle/oradata
chmod 775 /u01/oracle/app/oracle/oradata
mkdir /u01/oracle/app/oracle/flash_recovery_area
chown oracle:oinstall /u01/oracle/app/oracle/flash_recovery_area
chmod 775 /u01/oracle/app/oracle/flash_recovery_area
9. 运行runInstaller进行安装
使用oracle用户进行安装
出现java.lang.InternalError: Can’t connect to X11 window server using ‘:1.0′ as the value of DISPLAY variable.
解决:以root用户运行xhost +命令,再切换入oracle用户进行安装
后依据引导进行安装即可
10. 设置环境变量
ORACLE_BASE=/u01/oracle/app/oracle
export ORACLE_BASE
ORACLE_HOME=$ORACLE_BASE/product/10.2.0/db_1
export ORACLE_HOME
ORACLE_SID=orcl
export ORACLE_SID
ORACLE_TERM=xterm
export ORACLE_TERM
PATH=/usr/sbin:$PATH
export PATH
PATH=$ORACLE_HOME/bin:$PATH
export PATH
LD_LIBRARY_PATH=$ORACLE_HOME/lib:/lib:/usr/lib
export LD_LIBRARY_PATH
CLASSPATH=$ORACLE_HOME/JRE:$ORACLE_HOME/jlib:$ORACLE_HOME/rdbms/jlib
export CLASSPATH

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.

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

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 is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

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.
