Combining PHP and coreseek to develop a high-performance academic paper search engine

PHP and coreseek are combined to develop a high-performance academic paper search engine

Introduction:
With the continuous development of academia and the increase of research results, academic paper search engines are of great significance to scholars and researchers. Said it has become a must-have tool. In order to provide high-performance and accurate search results, we can combine PHP with coreseek to develop an efficient academic paper search engine. This article will introduce how to use PHP and coreseek to build a powerful search engine, and provide relevant code examples.

1. What is coreseek?
coreseek is an open source full-text search engine built on Sphinx. It uses inverted index technology to quickly search and filter large amounts of text data. Coreseek has the characteristics of high performance, high accuracy and ease of use, and has been widely used in various fields.

2. Why choose to combine PHP with coreseek?
PHP is a popular server-side scripting language that supports various databases and web services. It features easy learning, rapid development, and rich extensions. Combined with coreseek, we can use PHP to build the user interface, handle user requests and communicate with coreseek to implement a complete academic paper search engine.

3. Preparation for building a search engine environment

1. Installing coreseek
   First, we need to install coreseek. Under Linux systems, you can install it with the following command:

sudo apt-get install mysql-server
sudo apt-get install mysql-client
sudo apt-get install libmysqlclient-dev
sudo apt-get install libodbc1
sudo apt-get install libmysql++-dev
sudo apt-get install libxml2-dev
sudo apt-get install zlib1g-dev
sudo apt-get install libexpat1-dev
sudo apt-get install libcurl4-openssl-dev

wget http://sphinxsearch.com/files/sphinx-3.4.0-b1-5444f99-linux-amd64.tar.gz
tar -xzvf sphinx-3.4.0-b1-5444f99-linux-amd64.tar.gz
cd sphinx-3.4.0-b1-5444f99-linux-amd64
./configure --prefix=/usr/local/sphinx
make && make install

2. Create index
   After installing coreseek, we need to create an index for searching. Assuming we have a MySQL database containing academic paper information, we can create an index using the following command:

indexer --config /path/to/sphinx.conf --all --rotate

3. Configuring coreseek to communicate with PHP
   In order for PHP to communicate with coreseek, we need Configure the sphinx.conf file. You can use the following example for configuration:

source papersource
{
    type            = mysql
    sql_host        = localhost
    sql_user        = root
    sql_pass        = password
    sql_db          = papers
    sql_port        = 3306
}

index paperindex
{
    source          = papersource
    path            = /usr/local/sphinx/data/paperindex
    docinfo         = extern
    morphology      = stem_en
    min_prefix_len  = 3
    charset_type    = utf-8
}

searchd
{
    listen          = 127.0.0.1:9312
    log             = /usr/local/sphinx/log/searchd.log
    query_log       = /usr/local/sphinx/log/query.log
    read_timeout    = 5
    max_children    = 30
}

4. Write PHP code for search
Now we can write PHP code to implement the academic paper search function. The following is a simple PHP code example:

<?php
require('sphinxapi.php');

$host = "127.0.0.1";
$port = 9312;
$index = "paperindex";
$query = "computer science";

$sphinx = new SphinxClient();
$sphinx->setServer($host, $port);
$sphinx->setMatchMode(SPH_MATCH_EXTENDED2);
$sphinx->setSortMode(SPH_SORT_RELEVANCE);
$sphinx->setLimits(0, 10);

$result = $sphinx->query($query, $index);
if ($result === false) {
    echo "搜索失败：" . $sphinx->GetLastError();
} else {
    echo "总共找到 " . $result['total'] . " 条结果
";
    foreach ($result['matches'] as $doc) {
        echo "文章ID：" . $doc['id'] . "
";
        echo "文章标题：" . $doc['attrs']['title'] . "
";
        echo "文章摘要：" . $doc['attrs']['content'] . "
";
        echo "
";
    }
}
?>

The above code uses the interface provided by the sphinxapi.php file, by specifying the server IP and port, setting the matching mode and sorting method, and performing the search through the query method. The search results are returned in the form of an array, which we can process and display as needed.

Conclusion:
By combining PHP with coreseek, we can easily build a high-performance academic paper search engine. Through the application of inverted index technology, we can quickly search and filter large amounts of text data. I hope the code examples and steps provided in this article will help you build your own academic paper search engine.

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