正则表达式
bitsCN.com使用REGEXP关键字
1、基本字符匹配
SELECT prod_nameFrom ProductsWhere prod_name REGEXP'.000'LIKE和REGEXP区别
LIKE会匹配这个列,而REGEXP会在列值内进行匹配
在MySQL中正则表达式不区分大小写,要区分需使用BINARY关键字,如Where prod_name REGEXP BINARY'Jet.000'
2、进行OR匹配
使用“|”
SELECT prod_nameFrom ProductsWhere prod_name REGEXP'1000|2000'
3、匹配几个字符之一
指定一组用[和]扩起来的字符
SELECT prod_nameFrom ProductsWhere prod_name REGEXP'[123]ton'
输出
1ton
2ton
4、匹配范围
[0-9]数字0到9
[a-z]a到z
[A-Z]A到Z
[^0-9] ^表示非,即匹配不是0-9
注意,后面的必须比前面大
SELECT prod_nameFrom ProductsWhere prod_name REGEXP'[0-9]ton'
5、匹配特殊字符
在特殊字符前加“//”进行转义,注意在一般情况下正则表达式的转义加一个“/”就可以了,在MySQL中需要加两个
SELECT prod_nameFrom ProductsWhere prod_name REGEXP'//.000'
输出
1.000ton
6、匹配字符类(Posix字符类)
使用的时候需要外面加一层[],例如[[:digit:]]
类 说明 [:alnum:] 任意字母和数字(同[a-zA-Z0-9]) [:alpha:] 任意字母(同[a-zA-Z]) [:blank:] 空格和制表(同[//t]) [:cntrl:] ASCII控制字符(ASCII0到31和127) [:digit:] 任意数字(同[0-9]) [:graph:] 和[[:print:]]相同,但不包含空格 [:lower:] 任意小写字母(同[a-z]) [:print:] 任意可打印字符 [:punct:] 即不在[[:alnum:]]又不在[[:cntrl:]]中的字符 [:space:] 包括空格在内的任意空白字符(同[//f//n//r//t//v]) [:upper:] 任意大写字母(同[A-Z]) [:xdigit:] 任意16进制数字(同[a-fA-F0-9])SELECT * FROM `mytable`Where name REGEXP'name[[:digit:]]';输出 name1 name6
7、匹配多个实例
元字符 说明 * 0个或多个匹配 + 1个或多个匹配 ? 0个或1个匹配 {n} 指定数目的匹配 {n,} 不少于指定数目的匹配 {n,m} 匹配数目的范围(m不超过255)SELECT prod_nameFrom ProductsWhere prod_name REGEXP'[0-9]{1,3}'输出 100 15
8、定位符
元字符 说明 ^ 文本的开始 $ 文本的结尾 [[:<:>:]] 词的结尾注意,^有两个用法,一个是非,一个是文本的开始,用[]中表示非,否则是文本的开始。
bitsCN.com
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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