


Detailed explanation of query examples using regular expressions in MySql
Regular expressions are commonly used to retrieve and replace text that matches the magic pattern. For example, extract a phone number from a text file, find repeated words in an article, or replace certain sensitive words entered by the user. Mysql uses the REGEXP keyword to specify the character matching pattern of a regular expression. Mysql uses the REGEXP keyword to specify the character matching pattern of a regular expression. Next, I will share with you the method of using regular expression query in MySql through this article. Friends who are interested should take a look at it. I hope it can help you.
1. The character '^' queries for records starting with a specific character or string
SELECT * FROM user WHERE email REGEXP '^a'
The character '^' matches records starting with a specific character or string The above statement queries the records whose mailbox starts with a
2. The character ' queries the records ending with a specific character or string
SELECT * FROM user WHERE phone REGEXP '0$'
The character '$' matches a specific character or string The above statement queries the records whose mailbox ends with 0
3. Use the symbol "."; to replace any character in the string
SELECT * FROM user WHERE email REGEXP 'a.c'
Query between mailbox a and c There is a record of one character, '.' is equivalent to a placeholder. If it is written as REGEXP ‘a..c’, that is, there are two dots between a and c, it means that there must be two characters between a and c in the mailbox.
4. Use "*" to match multiple characters
SELECT * FROM user WHERE email REGEXP 'm*'
Query the records with m in all mailboxes.
SELECT * FROM user WHERE email REGEXP '^am*'
Query the records whose email address starts with the letter a and is followed by the letter m. Where '*' means 0 times or more.
5. Use the character "+" to represent the following character
SELECT * FROM user WHERE email REGEXP 'm+'
Query the records with m in all mailboxes.
SELECT * FROM user WHERE email REGEXP '^am+'
Query the records whose email address starts with the letter a, followed by the letter m. Where '+' means the following character.
6. "|" delimited condition matches the specified string
SELECT * FROM user WHERE email REGEXP 'qq.com|163.com'
Regular expression can match the specified string, and the strings are separated by "|".
7. “[]” indicates that the set matches any one of the specified strings
SELECT * FROM user WHERE email REGEXP '[az]'
”[]” specifies a set. The above indicates that the query mailbox contains a or z or both. All have mailboxes. It can also be used to match a set of numbers. For example, [0-9] represents all numbers in the set interval, and [a-z] represents all letters in the set interval.
8. "[^]" matches characters other than the specified characters
SELECT * FROM user WHERE email REGEXP '[^a-d1-3]'
As shown above, the matching mailbox does not contain a, b, c, d and does not contain 1, 2, 3 records.
9. Use {n,} or {n,m} to specify the number of occurrences of string concatenation
SELECT * FROM user WHERE email REGEXP 'b{2}'
means that the letter b appears at least 2 times.
SELECT * FROM user WHERE email REGEXP 'yu{1,3}'
means that the string ba appears at least once and at most 3 times.
Related recommendations:
WeChat applet implements simple input regular expression verification function sharing
How to use regular expressions in Javascript
Regular Expression_Regular Expression in Replace
The above is the detailed content of Detailed explanation of query examples using regular expressions in MySql. For more information, please follow other related articles on the PHP Chinese website!

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



You can open phpMyAdmin through the following steps: 1. Log in to the website control panel; 2. Find and click the phpMyAdmin icon; 3. Enter MySQL credentials; 4. Click "Login".

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

Redis uses a single threaded architecture to provide high performance, simplicity, and consistency. It utilizes I/O multiplexing, event loops, non-blocking I/O, and shared memory to improve concurrency, but with limitations of concurrency limitations, single point of failure, and unsuitable for write-intensive workloads.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

Effective monitoring of Redis databases is critical to maintaining optimal performance, identifying potential bottlenecks, and ensuring overall system reliability. Redis Exporter Service is a powerful utility designed to monitor Redis databases using Prometheus. This tutorial will guide you through the complete setup and configuration of Redis Exporter Service, ensuring you seamlessly build monitoring solutions. By studying this tutorial, you will achieve fully operational monitoring settings

The methods for viewing SQL database errors are: 1. View error messages directly; 2. Use SHOW ERRORS and SHOW WARNINGS commands; 3. Access the error log; 4. Use error codes to find the cause of the error; 5. Check the database connection and query syntax; 6. Use debugging tools.

Apache connects to a database requires the following steps: Install the database driver. Configure the web.xml file to create a connection pool. Create a JDBC data source and specify the connection settings. Use the JDBC API to access the database from Java code, including getting connections, creating statements, binding parameters, executing queries or updates, and processing results.
