Use PHP and Manticore Search to develop a search engine with real-time data synchronization

Using PHP and Manticore Search to develop a search engine with real-time data synchronization

Search engines play an important role in today's information age. With the rapid development of the Internet, users' demand for search engines is also getting higher and higher. Traditional search engines usually take a certain amount of time to synchronize the latest data, which is insufficient in some scenarios that require real-time data. In order to solve this problem, this article will introduce how to use PHP and Manticore Search to develop a search engine with real-time data synchronization.

First of all, let us first understand what Manticore Search is. Manticore Search is an open source, high-performance text search engine that provides efficient full-text search and real-time indexing capabilities. It supports SQL queries and JSON query syntax similar to Elasticsearch, and is suitable for various application scenarios from small websites to large data platforms. Manticore Search is characterized by fast speed, support for real-time indexing and distributed deployment, making it an ideal choice for developing search engines with real-time data synchronization.

First, we need to make sure we have the latest versions of PHP and Manticore Search installed. You can check the version by entering the following command in the terminal or command prompt:

php -v
searchd --help | grep Manticore

If the version number displayed is the latest, then we can continue to the next step.

Next, we need to introduce the Manticore Search client library into the PHP project. This can be achieved by saving the following code as a manticore.php file and introducing the file in the project:

 $host, 'port' => $port]);

$index = new Index($client);
$index->setIndex('example_index');

// 在这里进行索引的创建、删除、更新等操作

Now, we create a file named example_index index and can perform some operations in the index. Here are some common examples of operations:

• Create index:

  $index->create(['columns' => [
    ['name' => 'title', 'type' => 'text', 'options' => ['indexed' => true, 'stored' => true]],
    ['name' => 'content', 'type' => 'text', 'options' => ['indexed' => true, 'stored' => true]],
  ]]);

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• Delete index:

  $index->drop();

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• Insert data:

  $index->bulk('insert', [
    ['index' => ['_id' => 1, 'title' => '文章标题1', 'content' => '文章内容1']],
    ['index' => ['_id' => 2, 'title' => '文章标题2', 'content' => '文章内容2']],
  ]);

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• Update data:

  $index->bulk('update', [
    ['update' => ['_id' => 1, 'doc' => ['title' => '新的标题1']]],
    ['update' => ['_id' => 2, 'doc' => ['title' => '新的标题2']]],
  ]);

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• Delete data:

  $index->bulk('delete', [
    ['delete' => ['_id' => 1]],
    ['delete' => ['_id' => 2]],
  ]);

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• Query data:

  $query = [
    'index' => 'example_index',
    'body' => [
        'query' => [
            'match' => [
                'title' => '关键词',
            ],
        ],
    ],
  ];
  
  $result = $client->search($query);
  
  foreach ($result['hits']['hits'] as $hit) {
    echo $hit['_source']['title'] . ': ' . $hit['_source']['content'] . "
  ";
  }

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  The above code example demonstrates how to create an index, insert, update, delete data, and perform queries. Please adjust according to actual needs.

  Through these simple sample codes, we can see how to use PHP and Manticore Search to develop a search engine with real-time data synchronization. This method can realize the function of synchronizing the data to the search engine immediately after it is updated in real time to meet the scenario of real-time data demand. Hope this article is helpful to you!

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