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Develop quick search suggestions using PHP and Manticore Search

王林Original: 2023-08-05 21:45:061487browse

Develop fast search suggestion function using PHP and Manticore Search

Overview:
The search suggestion function is an integral part of modern search engines, which can provide instant suggestions for user search terms and provide users with Updates in real time as you type. In this article, we’ll cover how to use PHP and Manticore Search to implement quick search suggestions.

Manticore Search is a high-performance full-text search solution based on the open source search engine Sphinx. It's fast, scalable, and highly customizable for search applications of all sizes.

Step 1: Install and configure Manticore Search
First, we need to install Manticore Search. You can download the version suitable for your operating system from the official website (https://manticoresearch.com/downloads). After the installation is complete, you need to perform some basic configuration. Open the Manticore Search configuration file (manticore.conf) and make the necessary changes. Make sure you specify the correct listening address and port, and enable search suggestions.

Step 2: Create a data source
In the search suggestion function, we need to prepare some data as a data source to form a dictionary of search suggestions. A common approach is to use a database to store data. Here, we assume that we already have a database table named "products" that contains all product names.

Step 3: Use PHP to connect to Manticore Search
In PHP, we can use the officially provided manticoresearch/manticoresearch library to connect and operate Manticore Search. Run the following command to install the library:

composer require manticoresearch/manticoresearch-php

Next, we can create a PHP file and bring in the required classes:

<?php
require "vendor/autoload.php";
use ManticoresearchConnectionSimpleConnection;
use ManticoresearchQueryBoolQuery;
use ManticoresearchQueryMatchQuery;
use ManticoresearchQueryQueryString;

Step 4: Code the search suggestion functionality
Now We can now write the code to implement the search suggestions functionality. Here is a simple example that demonstrates how to get search suggestions in real time:

<?php
require "vendor/autoload.php";
use ManticoresearchConnectionSimpleConnection;
use ManticoresearchQueryBoolQuery;
use ManticoresearchQueryMatchQuery;
use ManticoresearchQueryQueryString;

// 建立与Manticore Search的连接
$simpleConnection = new SimpleConnection();
$simpleConnection->setHost('localhost')->setPort(9308);

// 创建搜索建议的索引
$suggestionsIndex = new ManticoresearchIndex();
$suggestionsIndex->setIndex('suggestions')->setConnection($simpleConnection);

// 获取用户输入的搜索词
$searchTerm = $_GET['term'];

// 创建查询
$query = new BoolQuery();
$query->add(new QueryString(['query' => $searchTerm, 'fields' => ['name']]));
$suggestionsIndex->search($query);
$result = $suggestionsIndex->getResultSet();

// 处理结果
$suggestions = [];
foreach ($result->getDocuments() as $doc) {
    $suggestions[] = $doc->name;
}

// 返回搜索建议
echo json_encode($suggestions);

Step 5: Use the search suggestions feature in the front-end page
In the front-end page, we can use JavaScript to process and display the search suggestions . The following is a simple example using jQuery and Autocomplete plug-ins to display search suggestions:

<!DOCTYPE html>
<html>
<head>
    <title>搜索建议示例</title>
    <link rel="stylesheet" href="//code.jquery.com/ui/1.12.1/themes/base/jquery-ui.css">
    <script src="https://code.jquery.com/jquery-1.12.4.js"></script>
    <script src="https://code.jquery.com/ui/1.12.1/jquery-ui.js"></script>
    <script>
    $(function() {
        $("#search").autocomplete({
            source: "suggest.php", // 后端脚本处理的URL
            minLength: 2, // 最小输入字符数
            delay: 500 // 延迟时间
        });
    });
    </script>
</head>
<body>
    <div class="ui-widget">
        <label for="search">搜索：</label>
        <input id="search">
    </div>
</body>
</html>

Save the above code as two files, suggest.php and index.html, and deploy them to your PHP On the web server, you can experience the search suggestion function in the browser.

Conclusion:
By using PHP and Manticore Search, we can easily implement the quick search suggestion function. Manticore Search provides powerful full-text search capabilities, and PHP allows us to easily interact with search engines and process search results. I hope this article can help you develop search suggestions!

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