PHP and Manticore Search Development: Building Audio and Video Search Engines

PHP and Manticore Search Development: Building Audio and Video Search Engine

Introduction:

With the rapid development of the Internet, audio and video content are becoming more and more important. are increasingly needed by users. In order to meet users' search needs, it is very important to build an efficient audio and video search engine. This article will introduce how to use PHP and Manticore Search to develop a simple and powerful audio and video search engine, and provide corresponding code examples.

1. What is Manticore Search?

Manticore Search is an open source software based on full-text indexing and search engine. It is a fork of the Sphinx search engine that provides developers with high-performance, scalable, full-text search and real-time indexing capabilities. Compared with traditional database search, Manticore Search has higher speed and richer search features.

2. Preparation

Before starting, please make sure you have installed PHP and Manticore Search. You can get their latest versions from the official website and follow the corresponding instructions to install them.

3. Create an index

Before using Manticore Search, you first need to create an index. An index is a structure in a search engine that stores and organizes data to improve search performance and search result accuracy.

The following is a sample code to create an audio and video index:

setName('media_index');
$index->setSource('media_source');
$index->create([
    'type' => 'rt',
    'rt_mem_limit' => '32M'
]);

// 添加字段
$index->update([
    'type' => 'rt',
    'rt_field' => [
        'title' => ['type' => 'text'],
        'description' => ['type' => 'text']
    ],
    'rt_attr_uint' => [
        'duration'
    ],
    'rt_attr_string' => [
        'category'
    ]
]);

The above code uses the Manticoresearch PHP client library to create an index named media_index. In the index, we define some fields that need to be searched, such as title and description, and some attributes that need to be stored, such as duration and category.

4. Insert data

After the index is created, we need to add audio and video data to it. The following is a sample code for inserting data into the index:

setIndex('media_index');

// 插入数据
$document->setId(1);
$document->setField('title', 'Beautiful Nature');
$document->setField('description', 'This is a beautiful nature video.');
$document->setField('duration', 3600);
$document->setField('category', 'Nature');

$document->save();

$document->resetFields();

// 插入更多的数据...

The above code creates a document named media_index and sets the related fields and properties of audio and video in it. Finally, Save the document to the index. You can insert more data according to your needs.

5. Search data

When the index and data are ready, we can start searching for audio and video data. The following is a sample code for searching using Manticore Search:

createSelect();
$query->from('media_index');
$query->match('Beautiful Nature')->option('field_weights', ['title' => 10, 'description' => 5]);

// 执行查询
$resultSet = $client->execute($query);

// 输出结果
foreach ($resultSet as $result) {
    echo "Title: " . $result['title'] . "
";
    echo "Description: " . $result['description'] . "
";
    echo "Duration: " . $result['duration'] . "
";
    echo "Category: " . $result['category'] . "
";
    echo "
";
}

The above code first creates a query object and specifies the index to be searched as media_index. Then we use the match method to specify the search keywords, and we can use the option method to set the weight of each field. Finally, we execute the query and output the search results.

6. Summary

This article introduces how to use PHP and Manticore Search to develop an audio and video search engine. We demonstrate the entire development process through the process of creating indexes, inserting data, and executing queries, and provide corresponding code examples. Hope this article can help you build an efficient and powerful audio and video search engine.

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