Develop search suggestion functionality using PHP and Manticore Search

Develop search suggestion function using PHP and Manticore Search

In modern websites and applications, search function is a very important component. To improve user experience, search suggestion features are widely used. The search suggestion function can provide relevant search suggestions and automatic completion based on the keywords entered by the user. In this article, we will develop a simple search suggestion feature using PHP and Manticore Search.

Manticore Search is a rewritten version based on the open source search engine Sphinx, which provides higher performance and richer features. It supports functions such as full-text search, real-time indexing, and geolocation search. We'll use Manticore Search to build a fast and efficient search suggestion feature.

First, we need to install Manticore Search on the server. It can be installed with the following command:

$ sudo apt-get update
$ sudo apt-get install manticoresearch

After the installation is complete, we need to create an index to store our search data. In Manticore Search, an index is a collection of documents, each containing one or more fields. We can create an index named "suggestions" using the following command:

$ mysql -P 9306
mysql> CREATE TABLE suggestions(title TEXT, suggestion BIGINT) INDEX title;
mysql> quit

Next, we can use PHP to interact with Manticore Search. First, we need to install the manticoresearch/manticoresearch package. The installation can be completed through Composer:

$ composer require manticoresearch/manticoresearch

After the installation is completed, we can write PHP code to implement the search suggestion function. First, we need to establish a connection to Manticore Search:

<?php
require 'vendor/autoload.php';

use ManticoresearchClient;

$client = new Client();
$client->connect();

Then, we can write a function to get search suggestions. This function will execute a search query in Manticore Search based on the keywords entered by the user and return relevant search suggestions:

function getSuggestions($client, $query) {
    $params = [
        'index' => 'suggestions',
        'body' => [
            'query' => [
                'match' => [
                    'title' => [
                        'query' => $query,
                        'operator' => 'and'
                    ]
                ]
            ],
            'suggest' => [
                'suggestion' => [
                    'prefix' => $query,
                    'completion' => [
                        'field' => 'suggestion'
                    ]
                ]
            ]
        ]
    ];

    $response = $client->search($params);

    $suggestions = [];
    foreach ($response['suggest']['suggestion'][0]['options'] as $option) {
        $suggestions[] = $option['text'];
    }

    return $suggestions;
}

Finally, we can write a simple code to test the search suggestion function:

$query = $_GET['q'];

if ($query) {
    $suggestions = getSuggestions($client, $query);

    foreach ($suggestions as $suggestion) {
        echo $suggestion . "<br>";
    }
}

In the above example, we use $_GET['q'] to get the keywords entered by the user in the search box. Then, we call the getSuggestions function to get relevant search suggestions and display them on the page.

Summary

By using PHP and Manticore Search, we can easily develop a fast and efficient search suggestion function. Manticore Search provides powerful full-text search and autocomplete capabilities, allowing us to provide a great search experience within the application. I hope this article will be helpful for you to learn and use Manticore Search to develop search suggestion functions!

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