Develop a high-performance news search engine using PHP and coreseek

Using PHP and coreseek to develop a high-performance news search engine

Introduction:
With the development of the Internet, the amount of data generated in our lives is increasing, and search engines are becoming more and more complex. The more important it is. In this article, we will introduce how to develop a high-performance news search engine using PHP and coreseek. coreseek is a high-performance search engine software based on open source, and PHP is a widely used server-side scripting language. Combining the two of them can provide us with a stable and fast search engine solution.

1. Install coreseek
First, we need to install coreseek on the server. The core installation process is as follows:

1. Download coreseek
   We can download the latest version of the coreseek software package from the official release page of coreseek.
2. Decompress coreseek
   Decompress the downloaded coreseek software package and enter the decompressed directory.
3. Install coreseek
   Execute the following command in the terminal to install coreseek:

./configure
make
sudo make install

After executing the above command, coreseek will be installed to the default location of the system.

2. Prepare news data
Before developing a search engine, we need to prepare some news data. News articles from some news websites can be collected from the Internet and saved as txt files. The content of the article should include basic information such as title, body and publication date.

3. Configuring coreseek
Configuring coreseek is a key step in developing a search engine. We need to specify the data source and index configuration for coreseek. First, we need to create a new configuration file, such as news.conf, and open it using an editor.

In the configuration file, we need to specify the data source (source) and index (index) for coreseek. The following is the content of an example configuration file:

source news
{

type = mysql sql_host = localhost sql_user = your_mysql_username sql_pass = your_mysql_password sql_db = news_database_name sql_port = 3306 sql_query = SELECT id, title, content, publish_date FROM news_table sql_attr_uint = id

}

index news
{

source = news path = /path/to/your/index/ docinfo = extern charset_type = zh_cn.utf-8 min_word_len = 1 min_prefix_len = 2 ngram_len = 1 max_field_len = 50000 mlock = 0 morphology = none stopwords = /path/to/your/stopwords.txt

}

In the above configuration, we use the data source and index named news. We use MYSQL as the data source type and provide a configuration to connect to the MYSQL database. The corresponding SQL statement is used to specify the way to obtain news data from the database.

4. Write PHP code
Now, we can start writing PHP code to connect and search the coreseek index. The following is a skeleton of sample code:

ini_set('display_errors', 1);
error_reporting(E_ALL);

require_once('sphinxapi.php ');

$cl = new SphinxClient();
$cl->SetServer('localhost', 9312);
$cl->SetArrayResult(true);

$keywords = $_GET['keywords']; // Get the entered keywords from the search form

$result = $cl->Query($keywords, 'news'); // Perform search operation

if ($result['total_found'] > 0) {

// 显示搜索结果 foreach($result['matches'] as $match) { $id = $match['id']; // 根据ID从你的新闻数据库中获取新闻标题、正文和发布日期 // 显示相关新闻内容 }

} else {

echo "没有找到相关的新闻";

}
?>

The above code first introduces the SphinxClient class and creates an object. Then, we set the address and port number of the Sphinx server. Next, store the keywords obtained from the search form in the $keywords variable. Finally, we use the $cl->Query() method to perform the search operation and iterate through the search results for display.

Conclusion:
In this article, we introduced how to use PHP and coreseek to develop a high-performance news search engine. First, we installed coreseek and configured the data source and index. We then prepared the news data and wrote PHP code to connect and search the coreseek index. This way we can search for news content quickly and accurately. This example is just a simple search engine that you can extend and optimize according to your needs. Hope this article is helpful to you!

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