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Use PHP and coreseek to implement fast chat history search function

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Aug 09, 2023 pm 05:53 PM

phpcoreseekChat history search

Use PHP and coreseek to implement fast chat history search function

In modern social networks and instant messaging applications, chat history is a very important information resource. However, when chat records exceed a certain amount, how to quickly and accurately search and find the content becomes a challenge. This article will introduce how to use PHP and coreseek to implement a fast chat history search function, and provide relevant code examples.

Preparation
Before we begin, we need to install and configure coreseek, a Chinese full-text retrieval tool based on the open source search engine Sphinx. For specific installation steps, please refer to coreseek’s official documentation.
Data preparation
We assume that there is already a database that stores chat records, and there is a chat table containing the following fields: id, user_id, content and created_at. The id field is the unique identifier of the chat record, user_id represents the user ID of the sender, content represents the chat content, and created_at represents the chat time.
Create search index
In the coreseek configuration file, we need to specify the fields and data sources that need to be indexed. Create a configuration file named chat (for example: chat.conf) with the following content:

source chat {
  type = mysql

  sql_host = localhost
  sql_user = root
  sql_pass =
  sql_db = your_database
  sql_port = 3306

  sql_query = SELECT id, content, created_at FROM chat
  sql_field_string = content
  sql_attr_timestamp = created_at
}

index chat_index {
  source = chat
  path = /path/to/index
  charset_type = utf-8
}

Among them, your_database needs to be replaced with your actual database name, and /path/to/index needs to be replaced with Your actual index storage path.

After saving the configuration file, run the following command to generate a search index:

$ indexer -c chat.conf

Write PHP code
Next, we can implement the search function of chat records through PHP code. The following is a sample code for a simple search form and search result display:

<html>
  <head>
    <title>聊天记录搜索</title>
  </head>
  <body>
    <h1 id="聊天记录搜索">聊天记录搜索</h1>
    <form method="GET" action="search.php">
      <input type="text" name="keyword" placeholder="请输入搜索关键词">
      <input type="submit" value="搜索">
    </form>

    <?php
    if(isset($_GET['keyword'])) {
      $keyword = $_GET['keyword'];

      // 连接到coreseek索引
      $link = mysql_connect('localhost:9306');
      mysql_select_db('chat_index', $link);

      // 执行搜索
      $result = mysql_query("SELECT * FROM chat_index WHERE MATCH('$keyword') LIMIT 10", $link);

      if(mysql_num_rows($result) > 0) {
        // 显示搜索结果
        echo '<h2 id="搜索结果">搜索结果</h2>';
        while($row = mysql_fetch_assoc($result)) {
          echo '<p>内容：' . $row['content'] . '</p>';
          echo '<p>时间：' . $row['created_at'] . '</p>';
          echo '<hr>';
        }
      } else {
        echo '未找到相关记录';
      }

      // 关闭连接
      mysql_close($link);
    }
    ?>
  </body>
</html>

In the above code, we obtain the search keywords entered by the user through $_GET['keyword'] and connect to coreseek index. Then, execute a SQL query statement similar to SELECT * FROM chat_index WHERE MATCH('$keyword') LIMIT 10 to achieve keyword matching search.

Finally, output the content and time in the search results through a loop.

Testing and Optimization
After completing the above steps, we can run the search.php file in the browser to test the search function. If the search results are inaccurate or display slowly, you can try to optimize coreseek or adjust the query statement.

To sum up, using PHP and coreseek can quickly realize the search function of chat records. Through reasonable configuration and optimization, we can improve search accuracy and response speed, and enhance user experience.

Note: The above code is only an example. In actual situations, it needs to be appropriately modified and improved according to specific needs.

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