Building an e-book search tool based on PHP and coreseek

Building an e-book search tool based on PHP and coreseek

Introduction:
With the popularity of e-books and the rise of digital reading, online e-book resources are becoming more and more abundant. In order to facilitate readers to quickly find the e-books they need, it is necessary to build an efficient e-book search tool. This article will introduce how to use PHP and coreseek to build a simple e-book search tool, and provide corresponding code examples.

1. Preparation
Before starting, you need to make sure that PHP and coreseek have been installed.

1. Install PHP: You can download and install the corresponding version of PHP from the PHP official website (https://www.php.net/).
2. Install coreseek: coreseek is a Chinese full-text search tool based on the open source search engine Sphinx. It can be downloaded and installed from the coreseek official website (http://www.coreseek.cn/).

2. Build a database
Before using coreseek to search, you first need to create a database and import the e-book data to be searched into it. Suppose we create a database named "books" and create a table named "book_list" in it to store e-book information.

The table structure is as follows:
CREATE TABLE book_list (
id int(11) NOT NULL AUTO_INCREMENT,
title varchar(255) DEFAULT NULL,
author varchar(255) DEFAULT NULL,
content text,
PRIMARY KEY (id )
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

Insert the information of the e-book to be searched into the "book_list" table.

3. Install and configure coreseek

1. Install coreseek: Unzip the downloaded coreseek to the specified directory of the server, and configure and compile according to the installation documentation.
2. Configure coreseek: Find the etc directory in the coreseek installation directory, create a new configuration file "book.conf" in this directory, and add the following content to it:
   index book_index
   {
   type = plain
   path = /path/to/index/book_index
   morphology = stem_en
   min_word_len = 1
   }

source book_source
{

type = mysql
sql_host = localhost
sql_user = root
sql_pass = password
sql_db = books
sql_port = 3306
sql_sock = /var/run/mysqld/mysqld.sock
sql_query_pre = SET NAMES utf8
sql_query =
    SELECT id, title, author, content
    FROM book_list

}

indexer
{

mem_limit = 128M

}

searchd
{

listen = 127.0.0.1:9312:mysql41
log = /path/to/log/searchd.log
query_log = /path/to/log/query.log
read_timeout = 5
max_children = 30
pid_file = /path/to/log/searchd.pid
max_matches = 1000
seamless_rotate = 1
preopen_indexes = 0
unlink_old = 1

}

The "sql_host", "sql_user", "sql_pass", "sql_db" and other parameters in the configuration file need to be modified according to the actual situation.

4. PHP code example
The following is a simple PHP code example for implementing the e-book search function:
require_once("sphinxapi.php");

$keyword = $_GET["keyword"];

$cl = new SphinxClient();
$cl->SetServer("localhost", 9312);
$cl->SetMatchMode(SPH_MATCH_EXTENDED2);
$cl->SetSortMode(SPH_SORT_RELEVANCE);

$result = $cl->Query($keyword, "book_index");

if ($result["total"] > 0) {

echo "共找到" . $result["total"] . "本书";
echo "<ul>";
foreach ($result["matches"] as $match) {
    // 根据书籍ID从数据库中获取书籍信息并显示
    $book = get_book_info($match["id"]);
    echo "<li>" . $book["title"] . ", 作者：" . $book["author"] . "</li>";
}
echo "</ul>";

} else {

echo "未找到相关书籍";

}

function get_book_info($id) {

// 从数据库中根据书籍ID查询并返回书籍信息

}

?>

In the above code, first initialize and set relevant parameters through the SphinxClient class. Then call the Query method to search and display the search results accordingly.

It should be noted that the logic of obtaining book information from the database according to the book ID needs to be written according to the actual situation.

Summary:
This article introduces how to use PHP and coreseek to build an e-book search tool based on Chinese full-text retrieval, including the installation and configuration of coreseek and PHP code examples to implement the search function. Through this search tool, readers can quickly find the e-books they need and improve reading efficiency. Of course, this is just a simple example, and more complex function expansion and optimization can be carried out according to actual needs.

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