一、硬件配置IBM3850(以安装环境为基础)二、软件准备linux.x64_11gR2_database_1of2.ziplinux.x64_11gR2_database_2of2.zipFileZ
一、硬件配置
IBM3850(以安装环境为基础)
二、软件准备
linux.x64_11gR2_database_1of2.zip
linux.x64_11gR2_database_2of2.zip
FileZilla.exe
三、FileZilla(中文版)软件安装过程和配置
1、安装
FileZilla_3.3.3_win32-setup.exe 运行,默认下一步完成安装。
2、配置FileZilla
菜单:文件-站点管理,点“新站点”,
----------------------------------------------------------
主机:(192.168.1.100)输入服务器IP地址
端口:22
服务器的类型:SFTP-SSH File Transfer Protocol
登录类型:一般
用户: root(输入服务器登陆用户)
密码:输入服务器登陆用户root的密码
----------------------------------------------------------
点“确认”,最后点“连接”。连接成功与否会有提示。(连接不成功请进入linux控制终端,#ifconfig ,,查看IP地址相关信息)
四、安装文件上传
1、Oracle安装文件上传
要借助一个软件FileZilla,上传 linux.x64_11gR2_database_1of2.zip和
linux.x64_11gR2_database_2of2.zip到root根目录下,并用unzip解压。
unzip linux.x64_11gR2_database_1of2.zip
unzip linux.x64_11gR2_database_2of2.zip
2、或使用ftp上传文件
命令格式:put 加FTP服务器的路径然后加本地要上传的路径
put \ e:\linux.x64_11gR2_database_1of2.zip 1
五、包的检查与上传
1、检查包
请浏览下面网页,在“2.3.3 Package Requirements”下,根据下面各系统版本查看本系统安装ORACLE所需要的包
检查命令格式:rpm -qa | grep 名字
以下包需检查:
binutils-2.17.50.0.6 ok
compat-libstdc++-33-3.2.3 ok
elfutils-libelf-0.125 ok
elfutils-libelf-devel-0.125 ok
elfutils-libelf-devel-static-0.125 ok
gcc-4.1.2 ok
gcc-c++-4.1.2 ok
glibc-2.5-24 ok
glibc-common-2.5 ok
glibc-devel-2.5 ok
glibc-headers-2.5 ok
kernel-headers-2.6.18 ok
ksh-20060214 ok
libaio-0.3.106 ok
libaio-devel-0.3.106 --
libgcc-4.1.2 ok
libgomp-4.1.2 ok
libstdc++-4.1.2 ok
libstdc++-devel-4.1.2 ok
make-3.81 ok
numactl-devel-0.9.8.i386 --
sysstat-7.0.2 --
unixODBC-2.2.11 --
unixODBC-devel-2.2.11 --
安装Red Hat Enterprise Server(64)发现libaio-devel-0.3.106、numactl-devel-0.9.8.i386、sysstat-7.0.2、unixODBC-2.2.11 、unixODBC-devel-2.2.11 没有。
请到Red Hat Enterprise Server(64)安装光盘中找。
2、上传包
要借助一个软件FileZilla,上传libaio-devel-0.3.106、numactl-devel-0.9.8.i386、sysstat-7.0.2、unixODBC-2.2.11 、unixODBC-devel-2.2.11 到root根目录下。
3、安装缺省包
打开linux控制终端,输入以下命令:
查看rpm命令:
[root@localhost ~]#ls *.rpm
安装缺省包
[root@localhost~]#rpm -ivh *.rpm
注:如果在安装包时,提示有关联,可以强制执行加入参数 --nodeps,举例如下:
[root@localhost ~]#rpm –ivh --nodeps libaio-devel-0.3.106.rpm

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

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 worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

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


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