Develop real-time search ranking functionality using PHP and Manticore Search

Using PHP and Manticore Search to develop real-time search ranking function

Introduction:
In the modern Internet era, real-time search has become one of the important functions of various applications and websites. The search ranking function is an indispensable part of real-time search. It can sort according to the relevance of search keywords and provide more accurate and attractive search results to users. This article will introduce how to use PHP and Manticore Search to develop a real-time search ranking function and provide corresponding code examples.

1. Introduction to Manticore Search:
Manticore Search is a fast and scalable full-text search engine. It is a branch of the Sphinx search engine. Compared with traditional relational databases, Manticore Search has more powerful and efficient functions in full-text indexing and search, and supports real-time search and distributed search. It uses a unique RPQ (Ranker PQ) model to provide better ranking of search results.

2. Preparation:
Before starting development, we need to install Manticore Search and configure it accordingly. For specific installation and configuration procedures, please refer to Manticore Search official documentation. In addition, we need to introduce the php-manticore library into the code, which can be installed using composer.

3. Index data:
Before using Manticore Search, we need to create an index and add the data to be searched to the index. The following is a basic example of creating an index and adding data:

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

use ManticoresearchClient;
use ManticoresearchIndex;

$client = new Client(["host" => "localhost", "port" => 9308]);
$index = new Index($client);
$index->create([
    'index' => 'articles',
    'body' => [
        'fields' => [
            'title' => ['type' => 'text'],
            'content' => ['type' => 'text'],
        ],
    ],
]);

$data = [
    [
        'index' => 'articles',
        'body' => [
            'title' => 'PHP开发实战',
            'content' => 'PHP是一种非常流行的编程语言。',
        ],
    ],
    // 添加更多的数据...
];

$index->add($data);

The above code first creates a Manticore Client instance and specifies the connected host and port. Then an index named "articles" is created, and the type of two fields "title" and "content" is defined as "text". Then we added the data to the index through the add method.

4. Real-time search and ranking:
With the index data, we can perform real-time search and ranking. The following is a simple example that demonstrates how to search by keyword and rank according to relevance:

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

use ManticoresearchClient;
use ManticoresearchQueryBooleanQuery;
use ManticoresearchQueryMatch;

$client = new Client(["host" => "localhost", "port" => 9308]);

$query = new BooleanQuery();
$query->addShould(new Match('title', 'PHP开发'));
$query->addShould(new Match('content', 'PHP开发'));

$searchParams = [
    'index' => 'articles',
    'body' => [
        'query' => $query,
    ],
];

$response = $client->search($searchParams);
echo "搜索结果：" . print_r($response['hits'], true);

The above code first creates a BooleanQuery object and uses the Match query object to add two keyword search conditions . Then pass the query conditions and index name to the search method to search. Finally, relevant information about the search results is output based on the results.

Conclusion:
This article introduces how to use PHP and Manticore Search to develop real-time search ranking functions. By using Manticore Search, we can efficiently create indexes, add data, and achieve real-time keyword-based search and ranking. I hope this article can help readers better understand and apply the real-time search ranking function, and provide convenience and inspiration for developers.

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