Oracle正则表达式函数 2、REGEXP_LIKE(x,pattern[,match_option])用于在x中查找正则表
Oracle正则表达式函数
2、REGEXP_LIKE(x,pattern[,match_option])用于在x中查找正则表达式pattern,,该函数还可以提供一个可选的参数match_option字符串说明默认的匹配选项。match_option的取值如下:
‘c’ 说明在进行匹配时区分大小写(缺省值);
'i' 说明在进行匹配时不区分大小写;
'n' 允许使用可以匹配任意字符的操作符;
'm' 将x作为一个包含多行的字符串。
--返回1965-1968你出生的FIRST_NAME以‘J’开头的消费者
SELECT FIRST_NAME, DOB
FROM CUSTOMERS
WHERE REGEXP_LIKE(TO_CHAR(DOB, 'YYYY'), '^196[5-8]$')
AND REGEXP_LIKE(FIRST_NAME, '^J');
3、REGEXP_INSTR(x,pattern[,start[,occurrence[,return_option[, match_option]]]])用于在x中查找pattern。返回pattern在x中出现的位置。匹配位置从1开始。可以参考字符串函数 INSTR(),参数相关:
'start' 开始查找的位置;
'occurrence' 说明应该返回第几次出现pattern的位置;
'eturn_option' 说明应该返回什么整数。若该参数为0,则说明要返回的整数是x中的一个字符的位置;若该参数为非0的整数,则说明要返回的整数为x中出现在pattern之后的字符的位置;
'match_option' 修改默认的匹配设置。
--返回17,找出l开头的后跟4个任意字母的单词在第一个参数中第一次出现的位置,这里是light中l的位置
SELECT REGEXP_INSTR('But, soft! What light through yonder window breaks?','l[[:alpha:]]{4}',1,1,0) FROM DUAL;
--返回22,找出l开头的后跟4个任意字母的单词在第一个参数中第一次出现的位置,这里是light中t的位置+1
SELECT REGEXP_INSTR('But, soft! What light through yonder window breaks?','l[[:alpha:]]{4}',1,1,1) FROM DUAL;
4、REGEXP_REPLACE(x,pattern[,replace_string[,start[,occurrence[, match_option]]]])用于在x中查找pattern,并将其替换为replae_string。可以参考字符串函数 REPLACE(),参数同REGEXP_INSTR函数,参考第3
--返回But, soft! What XXX through yonder window breaks? 用‘XXX’代替‘light’
SELECT REGEXP_REPLACE('But, soft! What light through yonder window breaks?','l[[:alpha:]]{4}','XXX') FROM DUAL;
5、REGEXP_SUBSTR(x,pattern[,start[,occurrence[, match_option]]])用于在x中查找pattern并返回。可以参考字符串函数 SUBSTR(),参数同REGEXP_INSTR函数,参考第3
--返回‘light’
SELECT REGEXP_SUBSTR('But, soft! What light through yonder window breaks?','l[[:alpha:]]{4}') FROM DUAL;

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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