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PHP and Manticore Search Development: Building a Private Search Engine

Introduction:
In today's Internet era, search engines are one of the main ways for people to obtain information. The search engines of Internet giants such as Google and Baidu have become indispensable tools in people's daily lives. However, for some specific application scenarios, using public search engines is not an ideal choice. This article introduces the methods and practices of building a private search engine using PHP and Manticore Search.

1. Understanding Manticore Search
Manticore Search is an open source full-text search engine that adopts the architecture of the Sphinx Search engine to provide efficient and scalable full-text search functions. Manticore Search supports master-slave replication, distributed indexing, real-time indexing, multi-index query, full-text retrieval and other features, and is suitable for processing massive data and high-concurrency search scenarios.

2. Install Manticore Search
First, we need to install Manticore Search. You can install it in a Linux environment through the following steps:

  1. Download the installation package of Manticore Search
  2. Extract the installation package and enter the decompressed directory
  3. Perform the installation Install the script
  4. Configure the relevant parameters of Manticore Search, such as listening port, index directory, etc.
  5. Start Manticore Search

3. Use PHP extension to operate Manticore Search
Manticore Search provides PHP extensions to facilitate our use of PHP to interact with search engines. We can create indexes, insert data, and execute queries through PHP extensions. The following is a simple sample code:

<?php
// 连接到Manticore Search服务
$dsn = 'mysql:host=127.0.0.1;port=9306';
$db = new PDO($dsn);

// 创建索引
$sql = 'CREATE TABLE products (id INTEGER PRIMARY KEY, name TEXT, price FLOAT)';
$db->exec($sql);

// 插入数据
$sql = 'INSERT INTO products (id, name, price) VALUES (1, "Apple", 5.99)';
$db->exec($sql);

$sql = 'INSERT INTO products (id, name, price) VALUES (2, "Banana", 3.99)';
$db->exec($sql);

$sql = 'INSERT INTO products (id, name, price) VALUES (3, "Orange", 4.99)';
$db->exec($sql);

// 执行查询
$sql = 'SELECT * FROM products WHERE MATCH("Apple")';
$result = $db->query($sql);

while ($row = $result->fetch()) {
    echo $row['id'] . ' ' . $row['name'] . ' ' . $row['price'] . PHP_EOL;
}

// 关闭连接
$db = null;
?>

In the above code, we first connect to the Manticore Search service and create an index table named "products". We then inserted three pieces of product data and performed a simple query for products with "Apple" in their names. Finally, we output the query results through a loop.

4. Build a private search engine
Using Manticore Search and PHP, we can build a private full-text search engine to meet specific application needs. The following is a simple example that uses PHP as a background processing script to receive keywords entered by the user through a form and perform search operations:

<?php
// 连接到Manticore Search服务
$dsn = 'mysql:host=127.0.0.1;port=9306';
$db = new PDO($dsn);

// 处理用户提交的搜索词
if (isset($_POST['keyword'])) {
    $keyword = $_POST['keyword'];
    $keyword = trim($keyword);
    
    // 执行查询
    $sql = "SELECT * FROM products WHERE MATCH(:keyword)";
    $stmt = $db->prepare($sql);
    $stmt->execute(['keyword' => $keyword]);
    $result = $stmt->fetchAll();
    
    // 输出查询结果
    foreach ($result as $row) {
        echo $row['id'] . ' ' . $row['name'] . ' ' . $row['price'] . PHP_EOL;
    }
}
?>

<form action="" method="post">
    <input type="text" name="keyword" placeholder="请输入关键词">
    <input type="submit" value="搜索">
</form>

In the above code, we receive the keywords entered by the user through a form, and Perform corresponding search operations in the background. Search results will be output to the page.

5. Summary
This article introduces the methods and practices of building a private search engine using PHP and Manticore Search. Through the PHP extension provided by Manticore Search, we can easily create indexes, insert data, and execute queries. At the same time, combined with PHP's form processing function, we can build a simple search page and implement a private full-text search function. I hope this article can provide you with some help in building a private search engine.

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