Sphinx writes efficient search function example analysis

Sphinx is an open source full-text search engine that can efficiently handle large-scale text search needs. This article will use an example to analyze how to use Sphinx to write efficient search functions and provide specific code examples.

1. Installing Sphinx
   First, we need to install Sphinx on the server. You can download the latest version of the installer from the Sphinx official website (https://sphinxsearch.com/) and install it according to the instructions.

2. Create index
   Before we start writing the search function, we first need to create an index to store the text data that needs to be searched. Suppose our application needs to search for information about some products. Each product contains attributes such as title, description, and price. We can create an index called "products".

   First, create a MySQL database connected to Sphinx and import product data. Suppose we have a database called "products" and contains a table called "product_info" that contains fields such as the product's title, description, and price.

   Next, we need to create a configuration file suitable for the "products" index. Create a file named "products.conf" and add the following content:

   source products
   {
       type = mysql
       sql_host = localhost
       sql_user = username
       sql_pass = password
       sql_db = products
       sql_port = 3306
   
       sql_query = SELECT id, title, description, price FROM product_info
       sql_attr_uint = price
   }
   
   index products
   {
       source = products
       path = /path/to/index/products
       charset_type = utf-8
   }

   This specifies the connection information and query statement for the MySQL database. "sql_attr_uint = price" means that the price field is an attribute of unsigned integer type.

   Finally, use the following command to create the index:

   $ indexer --config /path/to/products.conf --all

3. Writing the search function
   Now, we can start writing the search function of Sphinx. The following is a simple PHP example:

   <?php
   require('sphinxapi.php');
   
   $sphinx = new SphinxClient();
   $sphinx->setServer('localhost', 9312);
   
   $keyword = $_GET['keyword'];
   
   $sphinx->setMatchMode(SPH_MATCH_ANY);
   $sphinx->setSortMode(SPH_SORT_RELEVANCE);
   
   $result = $sphinx->query($keyword, 'products');
   
   if ($result['total'] > 0) {
       foreach ($result['matches'] as $match) {
           echo 'ID: ' . $match['id'] . '<br>';
           echo 'Title: ' . $match['attrs']['title'] . '<br>';
           echo 'Description: ' . $match['attrs']['description'] . '<br>';
           echo 'Price: ' . $match['attrs']['price'] . '<br><br>';
       }
   } else {
       echo 'No results found.';
   }
   ?>

   This code first creates a SphinxClient object and specifies the address and port number of the Sphinx server. Then, receive the keywords entered by the user and set the matching mode and sorting mode.

   Finally, call the query() method to perform the search, and loop through the results to print out the matching product information.

4. Run the test
   Save the above code as a PHP file (such as search.php) and deploy it to the web server. You can then search by accessing search.php?keyword=keyword.

   For example, visiting http://yourdomain.com/search.php?keyword=mobile phone will search for products containing the keyword "mobile phone" and display the results on the page.

Through the above steps, we have implemented an efficient search function based on Sphinx. Sphinx provides a wealth of configuration options and query syntax to optimize search performance according to actual needs. We hope that the code examples provided in this article can help readers understand and use Sphinx to write efficient search functions.

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