SUSE11 SP2下Oracle 11g安装指南
参考文档 (1) SUSE 官方安装文档:Oracle database on SLES11 SP2 (PDF) (2) Oracle Online Book:Database Quick Installation
参考文档
(1) SUSE 官方安装文档:Oracle database on SLES11 SP2 (PDF)
(2) Oracle Online Book:Database Quick Installation Guide for Linux x86-64
免费下载地址在 (说明:此地址不是FTP,直接点击打开,输入用户名与密码)
用户名与密码都是
具体下载目录在 /2013年资料/7月/7日/SUSE11 SP2下Oracle 11g安装指南
-------------------------------------分割线-------------------------------------
1. 安装操作系统
2. 检查软件包
(1) 检查是否缺少需要的软件包
rpm -q binutils \
gcc \
gcc-32bit \
gcc-c++ \
glibc \
glibc-devel \
ksh \
libaio \
libaio-devel \
libstdc++33 \
libstdc++46 \
libstdc++43-devel \
libgcc46 \
libstdc++-devel \
make \
sysstat | grep "not installed"
(2) 挂载第一张操作系统光盘,安装缺少的软件包
mount /dev/scd0 /media
rpm -ivh /media/suse/x86_64/sysstat-8.1.5-7.32.1.x86_64.rpm
3. 创建ORACLE用户
groupadd oinstall
groupadd dba
groupadd oper
useradd -m -g oinstall -G dba,oper oracle
4. 修改Oracle用户资源限额
编辑/etc/security/limits.conf文件,在文件的最后追加如下内容:
oracle soft nproc 2047
oracle hard nproc 16384
oracle soft nofile 1024
oracle hard nofile 65536
oracle soft stack 10240
oracle hard stack 32768
编辑/etc/sysctl.conf文件,在文件最后追加如下内容:
fs.aio-max-nr = 1048576
fs.file-max = 6815744
kernel.shmall = 2097152
kernel.shmmax = 2147483648
kernel.shmmni = 4096
kernel.sem = 250 32000 100 128
net.ipv4.ip_local_port_range = 9000 65500
net.core.rmem_default = 262144
net.core.rmem_max = 4194304
net.core.wmem_default = 262144
net.core.wmem_max = 1048586
输入如下命令使内核配置参数生效
sysctl -p
重启网络使网络配置参数生效
service network restart
输入如下命令使参数在服务器重启后也生效
chkconfig boot.sysctl on
1 软件包检查
在SUSE 11上需要以下的软件包
说明:
在Oracle 11.2.0.2以前,所有的软件包均需安装64位版本和32位版本。
在Oracle 11.2.0.2以后,,除了gcc-32bit以外,其余软件包只需安装64位的版本。
rpm -q binutils \
gcc \
gcc-32bit \
gcc-c++ \
glibc \
glibc-devel \
ksh \
libaio \
libaio-devel \
libstdc++33 \
libstdc++46 \
libstdc++43-devel \
libgcc46 \
libstdc++-devel \
make \
sysstat
2 创建oracle用户
groupadd oinstall
groupadd dba
groupadd oper
useradd -m -g oinstall -G dba,oper oracle
相关阅读:Oracle 11g在SUSE 11上的安装

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.
