学习MySQL,少不了安装一个MySQL数据库,安装想必很简单,其实也是,我下载了一个MySQL5.7,百度了一下安装步骤,就安装成功了。相对于Oracle来说要简单不少。
买了两本书,看了《MySQL必知必会》,适合入门者。后面一部分学习过程将参考此书。虽然网络上有不少电子书,但是纸质书毕竟要好一些。下面开始。
1. 数据库基础
数据库目前理解起来其实就是表,表分为行和列,一个数据库可以有多个表,每个表记录一类信息,如一个表记录学生的成绩,一个表记录老师的课程,如果将学生成绩和老师的课程放到一个表里,感觉就比较奇怪。表中的每一列都需要有一个类型值,是存放数字,还是文本,长度有没有限制等。这些表的属性应该称之为为模式。着重强调一下是表中的每一行都需要有一个唯一的id,主要是方便后续的查找,修改等操作。
另外提到了SQL这种语言,由于我有C语言的基础,理解起来比较容易。SQL,用来操作数据库的语言。第一章看起来比较容易。
2.环境
环境搭建比较简单,该书对应的网站,提供了SQL脚本,创建了 供应商、产品目录、顾客列表和顾客订单列表。下载该脚本文件。在windows开始栏中,运行MySQL Command Line Client。输入密码即进入到了MySQL命令行。
a 创建一个名为lab的数据库:myslq> create database lab;
b 使用该数据库:mysql> use lab;
c 执行下载的脚本创建表:mysql> source G:/study/MySQL/mysql_scripts/create.sql;
d 执行下载的脚本插入值:mysql> source G:/study/MySQL/mysql_scripts/populate.sql
e 查看表vendors中的内容:myslq> select * from vendors;

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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