Home Backend Development PHP Tutorial Sphinx implements real-time search effects for PHP projects

Sphinx implements real-time search effects for PHP projects

Oct 03, 2023 am 09:16 AM
php sphinx real time search

Sphinx 实现 PHP 项目的实时搜索效果

Sphinx is an open source full-text search engine that can quickly and efficiently realize search and retrieval of large-scale data. In PHP projects, using Sphinx can achieve real-time search effects and improve user experience and search speed. This article explains how to use Sphinx in PHP projects and provides specific code examples.

1. Install Sphinx
To achieve real-time search effects in PHP projects, you first need to install Sphinx. You can download the latest version of Sphinx from the official Sphinx website (http://sphinxsearch.com/), and then install it according to the official documentation.

2. Create a Sphinx configuration file
After the installation is complete, you need to create a Sphinx configuration file to define indexing and search settings. The format of the configuration file is a text file with the .conf suffix. You can create a file named sphinx.conf in the root directory of the project and add the following content:

source src1 {
    type = mysql
    sql_host = localhost
    sql_user = your_username
    sql_pass = your_password
    sql_db = your_database_name
    sql_query = SELECT id, title, content FROM your_table_name
}

index idx1 {
    source = src1
    path = /path/to/your/index/folder
    docinfo = extern
    charset_type = utf-8
}

searchd {
    listen = 9312
    listen = 9306:mysql41
    log = /path/to/your/log/folder/searchd.log
    query_log = /path/to/your/log/folder/query.log
}
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Please change your_username, your_password, your_database_name, your_table_name, /path/to/your/ in the above code Replace index/folder and /path/to/your/log/folder with your actual database connection information, table name, index save path, and log save path.

3. Use Sphinx in PHP projects

  1. Install and configure Sphinx PHP extension
    Use Composer to easily install Sphinx PHP extension. Create a composer.json file in the root directory of the project and add the following content:
{
    "require": {
        "sphinx_search/sphinx": "master-dev"
    }
}
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Then execute the composer install command on the command line to install the Sphinx PHP extension.

  1. Writing PHP code
    In a PHP project, you can use the classes provided by the Sphinx PHP extension to achieve real-time search effects. First, you need to obtain a Sphinx instance and specify the address and port of the Sphinx server:
use SphinxSphinxClient;

...

$client = new SphinxClient();
$client->setServer('localhost', 9312);
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Then, you can call the method provided by the SphinxClient class to search and obtain search results:

...
$query = '关键词'; // 设置搜索关键词
$res = $client->query($query); // 执行搜索操作
if (!$res) {
    echo '搜索失败:' . $client->getLastError();
    return;
}

if ($client->getWarning()) {
    echo '警告信息:' . $client->getLastWarning();
}

if ($client->getTotalFound() > 0) {
    $matches = $client->getMatches();
    foreach ($matches as $match) {
        $documentId = $match['id'];
        // 根据文档 ID 获取对应的文档内容并展示
        // 例如使用数据库查询根据文档 ID 查询需要展示的数据并输出到页面
    }
} else {
    echo '未找到匹配结果';
}
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In the above code, the keywords are set and the query method is called to perform the search operation. If the search fails, you can use the getLastError method to get error information, and the getWarning and getLastWarning methods to get warning information. If the search is successful and there are matching results, you can use the getMatches method to obtain the matching document ID, and then query the data to be displayed based on the document ID.

4. Summary
Through the above steps, we can use Sphinx in PHP projects to achieve real-time search effects. You first need to install Sphinx and create a configuration file to define indexing and search settings. Then introduce the Sphinx PHP extension and write the corresponding PHP code to perform search operations and display matching results. By using Sphinx, real-time search of large-scale data can be realized quickly and efficiently, improving user experience and search speed.

The above content provides detailed instructions and specific code examples on using Sphinx to achieve real-time search effects in PHP projects. Hope it helps readers!

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