Detailed example of mysql regular expression (Regexp)
MySQL supports another pattern matching operation based on regular expressions and the REGEXP operator. (Related recommendations: "MySQL Tutorial")
1. It provides powerful and flexible pattern matching, which can help us achieve power for the database system. Search utility.
2.REGEXP is the operator used when performing regular expression pattern matching.
3.RLIKE is a synonym. It also supports a number of metacharacters that provide greater flexibility and control when performing pattern matching.
4. Backslash is used as an escape character. If double backslashes are used, they are only considered in pattern matching.
5. It is not case sensitive.
PATTERN | What does the pattern match? |
* | before it Zero or more string instances |
preceded by one or more string instances | |
. | Any character |
? | matches zero or one instance of the preceding string. |
^ | The caret (^) matches the beginning of the string |
$ | String End |
[abc] | Any characters listed between square brackets |
[^abc] | Any characters not listed between square brackets |
[A-Z] | matches any uppercase letter. |
[a-z] | Matches any lowercase letter |
[0-9] | Matches from Any number from 0 to 9. |
Matches the beginning of a word. | |
Matches the end of a word. | |
matches a character class, that is, [:alpha:] matches letters, [:space:] matches spaces, [:punct:] Matches punctuation, [:upper:] matches upper letters. | |
rotation; matches any pattern p1, p2 or p3 | |
nInstances of the previous element | |
m to n instances of the previous element |
The above is the detailed content of Detailed example of mysql regular expression (Regexp). 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

AI Hentai Generator
Generate AI Hentai for free.

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



InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.
