How to build an efficient concurrent search engine using PHP and Xunsearch

How to build an efficient concurrent search engine using PHP and Xunsearch

Introduction:
With the rapid development of the Internet, search engines have become an indispensable part of our daily lives. In order to meet the search needs of users, there is an increasing demand for efficient concurrent search engines. This article will introduce how to use PHP and Xunsearch to build an efficient concurrent search engine, and provide corresponding code examples.

1. Introduction to Xunsearch
Xunsearch is a high-performance Chinese full-text indexing system based on Lucene, with high search speed and concurrency capabilities. It supports multiple languages ​​and has rich built-in functions, such as word segmentation, pinyin matching, synonym search, etc. Xunsearch provides PHP extensions that can be easily integrated with PHP.

2. Install Xunsearch
First, we need to install Xunsearch on the server. The installation can be completed through the following steps:

1. Download the Xunsearch compressed package:
   $ wget http://www.xunsearch.com/download/xunsearch-full-latest.tar.bz2
2. Decompress the Xunsearch compressed package:
   $ tar -jxvf xunsearch-full-latest.tar.bz2
3. Install dependent libraries:
   $ cd xunsearch-full-1.x.x/ bin
   $ ./xs-ctrl.sh all install
4. Set permissions:
   $ ./xs-ctrl.sh all setup
   $ ./xs-ctrl.sh all start
5. Start the search service:
   $ cd /usr/local/xunsearch/bin
   $ ./xsearchd -b
   $ ./xsearchd -r

3. Connect to Xunsearch using PHP extension
After installing Xunsearch, we need to use the Xunsearch extension in PHP to connect to the Xunsearch server. This can be achieved through the following code example:

1. Install the Xunsearch extension:
   $ wget http://www.xunsearch.com/download/xunsearch-sdk-php-latest.tar.bz2
   $ tar -jxvf xunsearch-sdk-php-latest.tar.bz2
   $ cd xunsearch-sdk-php-1.x.x/sdk/php && phpize && ./configure && make && make install

2. Write the connection code:
   require_once '/usr/local/xunsearch/sdk/php/lib/XS.php';

   $xs = new XS ('demo'); // Create Xunsearch object
   $search = $xs->search; // Get search object
   $search->setCharset('utf-8'); // Set characters Set
   $search->setQuery('keyword'); // Set query keywords
   $search->setLimit(10); // Set the number of returned results
   $search-> setCollapse('field'); //Set merge rules
   $search->setSort('field1'); //Set sorting rules
   $result = $search->search(); //Execute Search
   ?>

   The above code example first introduces the PHP extension file of Xunsearch, and then creates a Xunsearch object. By setting query keywords, number of results, merging rules, sorting rules, and finally performing the search.

4. Implement concurrent search
In order to improve the concurrency capability of the search engine, we can use PHP's multi-process and multi-thread technology to achieve it. The following is a code example that uses multiple processes to implement concurrent search:

require_once '/usr/local/xunsearch/sdk/php/lib/XS.php';

$xs = new XS('demo'); // Create Xunsearch object
$search = $xs->search; // Get search object

$keywords = ['Keyword 1 ', 'Keyword 2', 'Keyword 3']; // Set multiple keywords

$processes = []; // Create a process array

for ($i = 0; $i

$pid = pcntl_fork(); // 创建子进程
if ($pid == -1) {
    die('Fork failed');
} elseif ($pid) {
    $processes[] = $pid;
} else {
    $search->setQuery($keywords[$i]); // 设置查询关键词
    $result = $search->search(); // 执行搜索
    exit(); // 子进程退出
}

}

foreach ($processes as $pid) {

pcntl_waitpid($pid, $status); // 等待子进程结束

}
?>

The above code example uses the pcntl_fork() function to create child processes. Each child process performs the same search operation, but uses different keywords to search. Then, use the pcntl_waitpid() function to wait for all child processes to end.

5. Summary
This article introduces how to use PHP and Xunsearch to build an efficient concurrent search engine, and provides corresponding code examples. Through reasonable configuration and use of multi-process technology, we can improve the concurrency capabilities of search engines and meet users' search needs. Hope this article is helpful to everyone.

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