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PHP and Manticore Search development: quickly implement search result filtering function

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2023-08-06 12:42:341438browse

PHP and Manticore Search development: quickly implement search result filtering function

Introduction: In Web development, the search function is a very important component. Manticore Search is a high-performance full-text search engine, and PHP is a widely used server-side scripting language. This article will introduce how to use PHP and Manticore Search to develop an application that quickly implements the search results filtering function.

1. What is Manticore Search?

Manticore Search is a full-text retrieval server based on the open source search engine Sphinx. It can handle searches of massive data quickly and efficiently. Manticore Search supports a variety of query syntaxes and provides rich filtering conditions and sorting options, allowing developers to easily filter and sort search results.

2. Preparation

  1. Installing Manticore Search

First, we need to download and install Manticore Search. You can download the version suitable for your operating system from the official website (www.manticoresearch.com) and follow the official documentation for installation steps.

  1. Preparing search data

In Manticore Search, data is stored and searched in the form of indexes. You can use the command line tools or API provided by Manticore Search to create indexes and import data.

3. Integration of PHP and Manticore Search

  1. Installing PHP extension

Manticore Search provides a PHP extension, we need to install it in order to use it in PHP Use the functionality of Manticore Search. You can install it by running the following command in the terminal:

$ pecl install manticore
  1. Configure Manticore Search connection

In the PHP project, we need to configure the Manticore Search client and server connect. You can add the following code to the project's configuration file:

$manticore = new ManticoreClient();
$manticore->connect('localhost', 9306);

In the above code, we create a ManticoreClient object and use the connect() method to establish a connection with the local server. You can modify the connection parameters according to the actual situation.

  1. Implementing the search function

Next, we need to implement the search function. In PHP, we can use the query syntax provided by Manticore Search to build search conditions and perform the search by calling the search() method.

$query = 'web development';
$res = $manticore->search($query);

In the above code, we construct a query string "web development" and perform the search through the search() method. The search results will be saved in the $res variable.

4. Implementation of search result filtering function

Search result filtering is a common requirement, which can help users filter search results according to specific conditions. Here's an example of how to filter search results based on price range.

$query = 'web development';
$filter = 'product_price >= 100 && product_price <= 200';
$res = $manticore->paginate($query, 0, 10, ['filters' => $filter]);

In the above code, we construct a query string "web development" and define a price range filter. By calling the paginate() method and passing in filter conditions, we can filter the search results.

5. Complete sample code

The following is a complete sample code that demonstrates how to use PHP and Manticore Search to quickly implement the search results filtering function:

In the above code , we first introduced the ManticoreClient class and then created a connection instance. Next, we construct a query string and define a price range filter condition, and finally loop through the search results and print out the product names and prices that meet the conditions.

6. Summary

This article introduces how to use PHP and Manticore Search to develop an application that quickly implements the search results filtering function. By integrating Manticore Search's PHP extension and leveraging its rich query syntax and filter conditions, we can easily filter and sort search results to provide users with a better search experience. I hope this article will be helpful to you in PHP and Manticore Search development.

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