What are wildcards?
Wildcard characters are special characters used to match part of a value.
Search mode: Search conditions composed of literal values, wildcards, or a combination of both.
1.like operator:
All the operators introduced earlier are for constant values filtered. Whether it's matching or multiple values, testing greater or less than a known value, or checking a range of values, the common denominator is that the values used in filtering are known. However, this filtering method is not always easy to use. For example, how to search for all products whose product names contain the text anvil? It's impossible to use simple comparison operators, you must use wildcards. Use wildcards to create search patterns that compare specific data. In this example, if you want to find all products whose names contain anvil, you can construct a wildcard search pattern to find products where anvil appears anywhere in the product name.
To use wildcards in search clauses, the link operator must be used. like instructs MySQL, followed by a search pattern that uses wildcard matching instead of direct equality matching for comparison.
2. Percent (%) wildcard character
The most commonly used wildcard character is percent Number(%). In a search string, % represents any number of occurrences of any character. For example, to find all products that start with the word a, you can use the following select statement:
select prod_id, prod_name from products where prod_name like 'a%';
This example uses search Pattern 'a%'. When executing this sentence, search for any word starting with a. % tells MySQL to accept any character after a, no matter how many characters it has.
Note: Depending on how MySQL is configured, the search can be made case-sensitive. If case sensitive, 'a%' does not match the word Apache.
Wildcards can be used anywhere in the search pattern, and multiple wildcards can be used. The following example uses two wildcards, which are located at both ends of the pattern:
select prod_id, prod_name from products where prod_name like '%a%';
Code analysis: search pattern '%a% ' means match any value that contains the text anvil, regardless of what characters appear before or after it.
Wildcard characters can also appear in the middle of search patterns. For example, the following example:
select prod_namefrom products where prod_name like '%a%';
It is important to note that in addition to one or more characters, % can also match 0 character. % represents 0, 1 or more characters at a given position in the search pattern.
Note: 1. Spaces may interfere with wildcard matching. For example, when there are one or more spaces after a in '%a%', the clause where prod_name like '%a%'; will not match them because there are extra characters after a. A simple way to solve this problem is to add a % at the end of the search pattern. Another better way is to use a function to remove the trailing spaces.
2. Although it seems that the % wildcard can match anything, there is one exception, which is NULL. Even where prod_name like ‘%’ does not match rows with the value NULL as the product name.
3. Underscore '_' wildcard
Another useful wildcard character is the underscore (_ ). Underscore has the same purpose as %, but it matches a single character instead of multiple characters.
For example:
select prod_id,prod_name from products where products where prod_name like '_ ton anvil';
Output:
The search pattern in this where clause gives two wildcard characters followed by text. The results only display lines that match the search pattern: the underline in the first line matches 1, and the underline in the second line matches 2.
You can try using % to match the results returned and compare them.
The above is the detailed content of Tutorial on using wildcards to filter in mysql. For more information, please follow other related articles on the PHP Chinese website!

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.

MySQL is suitable for beginners because: 1) easy to install and configure, 2) rich learning resources, 3) intuitive SQL syntax, 4) powerful tool support. Nevertheless, beginners need to overcome challenges such as database design, query optimization, security management, and data backup.

Yes,SQLisaprogramminglanguagespecializedfordatamanagement.1)It'sdeclarative,focusingonwhattoachieveratherthanhow.2)SQLisessentialforquerying,inserting,updating,anddeletingdatainrelationaldatabases.3)Whileuser-friendly,itrequiresoptimizationtoavoidper

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.


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

SublimeText3 Mac version
God-level code editing software (SublimeText3)

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

SublimeText3 Linux new version
SublimeText3 Linux latest version

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.