使用MySQL,目前你可以在三种基本数据库表格式间选择。当你创建一张表时,你可以告诉MySQL它应该对于表使用哪个表类型。MySQL将总是创建一个.frm文件保存表和列定义。视表类型而定,索引和数据将在其他文件中存储。
你能用ALTER TABLE语句在不同类型的表之间变换。
MyISAM
在MySQL 3.23中,MyISAM是缺省表格类型,它是基于ISAM代码并且有很多有用的扩展。索引存储在一个有.MYI(MYindex)扩展名的文件并且数据存储在有.MYD(MYData)扩展名的文件中。你能用myisamchk实用程序检查/修复MyISAM表。
ISAM
你也可以使用放弃的ISAM。这将在不久消失,因为MyISAM是同一个东西的更好实现。ISAM使用一个B-tree索引,这个索引存储在一个有.ISM扩展名的文件中并且数据存储在有.ISD扩展名的文件中,你可用isamchk实用程序检查/修复ISAM表。ISAM表不是跨OS/平台二进制可移植的。
HEAP
HEAP表格使用一个杂凑(hashed)索引并且存储在内存中。这使他们更快,但是如果MySQL崩溃,你将失去所有存储的数据。HEAP作为临时表很可用!
用SHOW/ DESCRIBE语句显示数据表的信息
句法:
SHOW TABLES [FROM db_name] [LIKE wild] or SHOW COLUMNS FROM tbl_name [FROM db_name] [LIKE wild] or SHOW INDEX FROM tbl_name [FROM db_name] or SHOW TABLE STATUS [FROM db_name] [LIKE wild] {DESCRIBE | DESC} tbl_name {col_name | wild} |
你能使用db_name.tbl_name作为tbl_name FROM db_name句法的另一种选择。
SHOW TABLES列出在一个给定的数据库中的表。你也可以用mysqlshow db_name命令得到这张表。
注意:如果一个用户没有一个表的任何权限,表将不在SHOW TABLES或mysqlshow db_name中的输出中显示。
SHOW COLUMNS列出在一个给定表中的列。如果列类型不同于你期望的是基于CREATE TABLE语句的那样,注意,MySQL有时改变列类型。
DESCRIBE语句提供了类似SHOW COLUMNS的信息。DESCRIBE提供关于一张表的列的信息。col_name可以是一个列名字或包含SQL的“%”和“_”通配符的一个字符串。这个语句为了与 Oracle 兼容而提供的。
SHOW TABLE STATUS(在版本3.23引入)运行类似SHOW STATUS,但是提供每个表的更多信息。你也可以使用mysqlshow --status db_name命令得到这张表。
SHOW FIELDS是SHOW COLUMNS一个同义词,SHOW KEYS是SHOW INDEX一个同义词。
你也可以用mysqlshow db_name tbl_name或mysqlshow -k db_name tbl_name 列出一张表的列或索引。
SHOW INDEX以非常相似于ODBC的SQLStatistics调用的格式返回索引信息。
使用mysqlshow 工具得到信息
下面简单介绍一下mysqlshow实用程序的用法,在得到数据库和表的信息上,使用起来非常方便。
得到已有数据库的列表:
shell> mysqlshow
列出某数据库db_name中已有的表:
shell> mysqlshow db_name
列出某数据库表db_name.tbl_name的结构信息:
shell>mysqlshow db_name tbl_name
列出一张表的索引:
shell> mysqlshow –k db_name tbl_name

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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