


What is the connection between Chinese character pinyin conversion in PHP and database search?
What is the connection between Chinese character pinyin conversion in PHP and database search?
When developing PHP applications, we often need to convert Chinese to Pinyin in order to implement the Pinyin search function. This is very useful in many scenarios, such as searching for contacts, product names, etc. In this article, we will explore the connection between Chinese character pinyin conversion in PHP and database search, and give practical code examples.
First, we need to use the Pinyin extension library in PHP to convert Chinese Pinyin. Currently, the more commonly used ones are Pinyin extension and Chinese to Pinyin extension. Both extensions can be used to convert Chinese characters into Pinyin strings. Please refer to their documentation for specific usage methods.
Next, we need to store the converted pinyin into the database for search. This is very useful in database queries because we can use pinyin for fuzzy matching. For example, we can use the LIKE keyword in the SQL statement for matching.
The following is a simple example, assuming we have a contact table contacts, which contains the fields name and pinyin.
// 假设$name是用户输入的中文搜索关键字 $keyword = $_GET['keyword']; // 将中文关键字转换为拼音字符串 $pinyin = pinyin_convert($keyword); // 使用拼音进行模糊匹配查询 $query = "SELECT * FROM contacts WHERE pinyin LIKE '%$pinyin%'"; $result = mysqli_query($conn, $query); // 处理查询结果 while ($row = mysqli_fetch_assoc($result)) { // 输出联系人信息 echo $row['name']; }
In the above example, we first convert the Chinese keywords entered by the user into pinyin strings. Then, we use the pinyin string to perform a fuzzy matching query. Finally, we process the query results and output the contact information.
In addition to the above examples, we can also use Chinese Pinyin conversion to implement more complex search functions, such as sorting according to the first letter of Pinyin, multi-keyword search, etc. These can be expanded and optimized according to specific needs.
To sum up, Chinese character pinyin conversion in PHP is closely related to database search. By converting Chinese characters into Pinyin strings and storing them into the database, we can implement powerful Pinyin search capabilities. This is very useful in actual application development and can improve user experience and system performance.
I hope this article will help you understand Chinese character pinyin conversion and database search in PHP. I hope you can flexibly use these techniques in development to achieve better functions and effects.
The above is the detailed content of What is the connection between Chinese character pinyin conversion in PHP and database search?. 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



PHP and PDO: How to perform a full-text search in a database In modern web applications, the database is a very important component. Full-text search is a very useful feature when we need to search for specific information from large amounts of data. PHP and PDO (PHPDataObjects) provide a simple yet powerful way to perform full-text searches in databases. This article will introduce how to use PHP and PDO to implement full-text search, and provide some sample code to demonstrate the process. first

How to use PHP to implement high-performance database search In modern website and application development, database search is an important and common requirement. As the amount of data increases and user requests increase, how to effectively implement high-performance database search has become one of the focuses of developers. This article will introduce how to use PHP to implement high-performance database search and provide specific code examples. 1. Optimize the database structure. A good database structure can directly affect the performance of database search. The following points need to be noted: 1. Suitable

How to automatically associate MySQL foreign keys and primary keys? In the MySQL database, foreign keys and primary keys are very important concepts. They can help us establish relationships between different tables and ensure the integrity and consistency of the data. In actual application processes, it is often necessary to automatically associate foreign keys to the corresponding primary keys to avoid data inconsistencies. The following will introduce how to implement this function through specific code examples. First, we need to create two tables, one as the master table and the other as the slave table. Create in main table

How to use JAVA technology to implement high-performance database search? Overview: In modern software development, database search is one of the most common and essential functions. How to implement high-performance database search can not only improve the user experience, but also improve the system's response speed and processing capabilities. This article will introduce how to use JAVA technology to implement high-performance database search and provide specific code examples. 1. Choose a suitable database engine Choosing a suitable database is the key to achieving high-performance database search. In JAVA,

The "C" compiler evaluates expressions according to precedence and associativity rules. If an expression contains operators of different precedence, precedence rules are taken into account. Here, 10*2 is evaluated first because '*' has higher precedence than '-' and '='. If the expressions contain the same precedence, the associativity rule is considered, i.e. from left to right (or from right to the left).

How to use Java technology to implement high-performance database search algorithms? Introduction: In modern society, databases have become a core component of various applications. As data volumes continue to increase, so do the demands on databases for searching and querying. How to improve the performance of database search has become an important technical issue. This article will introduce how to use Java technology to implement high-performance database search algorithms and provide corresponding code examples. 1. Index establishment When performing database search optimization, you first need to establish an index. The index is

Practical Guide to Improving Database Search Speed Driven by Java Technology Summary: Database search is one of the problems we often encounter during development. Efficient search in large-scale data is a challenge. This article will introduce some practical guidelines for improving database search speed through Java technology, and provide specific code examples. Table of Contents: Introduction Index Optimization SQL Statement Optimization Database Connection Pool Optimization Database Cache Optimization Concurrency Control Optimization Summary Introduction: As the amount of data continues to increase, the speed of database search becomes faster and faster.

C language and C++ are two popular programming languages that are widely used in the field of computer science. This article will explore the connections and differences between the C language and C, and demonstrate their features and usage through specific code examples. The relationship between C language and C C is a programming language developed on the basis of C language, so C retains many features and grammatical rules of C language. C can be seen as an extension of the C language. It adds object-oriented features to the C language, including classes, inheritance, and polymorphism.
