AIX中常用的SMIT的使用
AIX中常用的SMIT 的使用 1、 smit 的日志文件 (1)$HOME/smit.log 记录了所访问的所有菜单、对话内容,所执行的命令和输出结果 在 SMIT 会话中出现的所有错误也会被记录 (2)$HOME/smit.script 记录了所有通过 SMIT 菜单执行的 AIX 命令 (3)$HOME/smit.t
AIX中常用的SMIT 的使用
1、 smit 的日志文件
(1)$HOME/smit.log 记录了所访问的所有菜单、对话内容,所执行的命令和输出结果
在 SMIT 会话中出现的所有错误也会被记录
(2)$HOME/smit.script 记录了所有通过 SMIT 菜单执行的 AIX 命令
(3)$HOME/smit.transaction 记录了所有通过 SMIT 菜单执行的 AIX 命令,及命令的说明
2、 功能键
F1 = 帮助
F3 = 取消或清除弹出菜单
F4 = 列表
Tab = 下一列表
F6 = 显示命令
F8 = 显示快速路径和保存到记录文件中的屏幕映像
F9 = 退出到 shell
F10 = 现在退出
此外,可以使用 ESC+数字键来代替功能键,例如:ESC+3 可以代替 F3。
3、 详细信息和输入域
在[ ] 域键入信息
+ 可用 F4 弹出列表
* 强制输入
# 数字
/ 文件名
0X 十六进制数字
若 F4 给出多个列表选择,那么按F7:选择和取消项目。
4、 快捷方式
smitty tape
smitty user
smitty tcpip
smitty nfs
smitty jfs
smitty lvm
学习建议:
学习 aix 操作系统时,应该把命令和 smit 工具结合使用,才能事半功倍。对于简单的操作,建议使用命
令,所以要求我们熟记一些常用的命令;把一些较难较复杂的操作交给 smit 去完成。
更多教程请访问 MySQL视频教程

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.

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 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.

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.

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.
