Full-text search technology developed based on PHP mall

With the rapid development of e-commerce, more and more companies have begun to transfer their business to online platforms, and establishing e-commerce websites has become a trend. The perfection of the search function in the website has a great impact on the users of the website. Experience and sales have a significant impact. This article will introduce the full-text search technology developed based on PHP mall.

1. Introduction to full-text retrieval technology

Full-text retrieval technology is a technology that can perform keyword searches in the entire content of a document. Compared with traditional keyword search, full-text search technology can achieve more accurate and precise searches, and can better meet user search needs. There are many ways to implement full-text retrieval technology. A common and simple way is to use the full-text index in MySQL.

2. Implementation of MySQL full-text index

MySQL has a built-in full-text index, which can make full-text search in MySQL more convenient. Its implementation principle is to first segment the document, save the segmentation results in an inverted index table, and then obtain the search results by querying the inverted index table.

Before using MySQL for full-text search, you need to set up the full-text index on the table. For example, assuming our table is named "goods", we set the fields to be full-text indexed in "goods" through the following SQL statement:

ALTER TABLE `goods` ADD FULLTEXT(`goods_name`,`goods_desc`);

Here we set the fields in "goods_name" and "goods_desc" "Full-text search is performed on these two fields. Next, we can use the "MATCH...AGAINST" statement provided by MySQL in the code to perform full-text search. For example:

SELECT * FROM `goods` WHERE MATCH(`goods_name`,`goods_desc`) AGAINST('iphone');

means querying the results containing the keyword "iphone" in the "goods_name" and "goods_desc" fields.

3. Implementation of full-text search technology based on PHP mall development

In actual development, we can use PHP's mysqli extension library to realize the connection with MySQL and the execution of SQL statements. The following is a simple sample code:

<?php

$mysqli = new mysqli('localhost', 'username', 'password', 'database');
if ($mysqli->connect_error) {
    die('Connect Error (' . $mysqli->connect_errno . ') ' . $mysqli->connect_error);
}

$query = "SELECT * FROM `goods` WHERE MATCH(`goods_name`,`goods_desc`) AGAINST('iphone')";
$result = $mysqli->query($query);

while ($row = $result->fetch_assoc()) {
    echo $row['goods_name'] . ': ' . $row['goods_desc'] . '<br>';
}

$result->free();
$mysqli->close();

?>

The above code is a simple example of displaying search results. In actual development, we need to combine it with the functions of the mall to realize the full-text search function and display it in the mall.

4. Optimization of full-text retrieval technology

Although full-text retrieval can perform keyword searches more accurately, there are also certain problems in practical application. For example, when the amount of data is large, the query speed of full-text search will become slower, so the full-text search technology needs to be optimized.

One way to optimize is to use a search engine, such as Elasticsearch. Elasticsearch is a Lucene-based search engine that provides faster, more accurate and scalable full-text search services. We can use the Elasticsearch service in the mall to implement full-text search.

Another optimization method is to perform word segmentation on the search field. In some cases, we can segment the document content into words and store the word segmentation results in the database to improve search efficiency. When querying, we only need to segment the keywords and query them in the segmentation results.

5. Summary

Full-text search technology can better meet the user search needs of the mall and improve user experience and transaction conversion rate. Therefore, during the development process of the mall, full-text search technology also has become an essential technology. In practical applications, we can implement full-text retrieval through MySQL's full-text index and Elasticsearch, and optimize it to improve search efficiency.

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