Use PHP and coreseek to achieve accurate image-driven search function
With the rapid development of the Internet, image search function plays an increasingly important role in user experience and information retrieval. The more important the role. This article will introduce how to use PHP and coreseek to implement accurate image-driven search functions to help users quickly find the images they need.
$ wget http://sphinxsearch.com/files/sphinx-2.2.11-release.tar.gz $ tar -xzf sphinx-2.2.11-release.tar.gz $ cd sphinx-2.2.11-release $ ./configure --prefix=/usr/local/coreseek $ make && make install
After installing coreseek, we need to configure indexing and search for it.
/usr/local/coreseek/etc
to store the core configuration files. Create a file named Pictures.conf
under this folder to configure the index for picture search: source src1 { type = mysql sql_host = localhost sql_user = root sql_pass = your_p@ssword sql_db = your_database_name sql_port = 3306 } index img_index { type = rt rt_mem_limit = 1024M path = /usr/local/coreseek/var/data/img_index morphology = stem_en min_word_len = 1 charset_dictpath = /usr/local/coreseek/var/data/dict charset_type = zh_cn.utf-8 charset_table = 0..9, A..Z->a..z, _, a..z, U+410..U+42F->U+430..U+44F, U+430..U+44F rt_field = description rt_attr_uint = categoryId rt_attr_uint = uploaderId rt_attr_timestamp = uploadTime } indexer { mem_limit = 256M } searchd { listen = 9312 log = /usr/local/coreseek/var/log/searchd.log query_log = /usr/local/coreseek/var/log/query.log read_timeout = 5 max_children = 30 pid_file = /usr/local/coreseek/var/log/searchd.pid max_matches = 1000 }
in the Pictures.conf
file , we set the data source to be the MySQL database, the user is root, the password is your_p@ssword, and the database is your_database_name. At the same time, we configured parameters such as index name, index file storage path, and word separator.
image_search.php
and add the following code: <?php require_once('sphinxapi.php'); $sphinx = new SphinxClient(); $sphinx->SetServer('localhost', 9312); $sphinx->SetConnectTimeout(3); $sphinx->SetArrayResult(true); $keyword = $_GET['keyword']; // 获取用户输入的关键词 $sphinx->SetMatchMode(SPH_MATCH_EXTENDED); // 使用扩展模式 $sphinx->SetSortMode(SPH_SORT_ATTR_ASC, 'uploadTime'); // 根据上传时间排序 $sphinx->SetLimits(0, 10); // 每页显示10条结果 $queryResult = $sphinx->Query($keyword, 'img_index'); // 查询结果 $ids = array(); if ($queryResult && isset($queryResult['matches'])) { foreach ($queryResult['matches'] as $match) { $ids[] = $match['id']; } } // 根据搜索结果获取对应的图片信息,并进行展示 if (!empty($ids)) { $db = new PDO("mysql:host=localhost;dbname=your_database_name", "root", "your_p@ssword"); $stmt = $db->prepare("SELECT * FROM images WHERE id IN (".implode(',', $ids).")"); $stmt->execute(); $images = $stmt->fetchAll(PDO::FETCH_ASSOC); foreach ($images as $image) { echo '<img src="'.$image['url'].'" alt="'.$image['description'].'">'; } } else { echo '没有找到相关图片'; }
In the above code, we have used Sphinx’s PHP client library sphinxapi.php
, and called relevant search and query methods in the script. The keywords entered by the user are obtained through GET, and then searched using Sphinx's Query method. Finally, the corresponding images are displayed on the web page based on the search results.
http://localhost/image_search.php?keyword=xxx
, where keyword
is the keyword entered by the user. If everything is configured correctly, you can see the images that meet the conditions displayed on the page. Through the above simple steps, we have successfully implemented the precise image-driven search function using PHP and coreseek. Users can easily enter keywords and quickly find the pictures they need. At the same time, through the core configuration files and code examples, you can further optimize and expand according to actual needs to meet business needs.
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