How to perform word segmentation search in ThinkPHP6?

With the continuous development of Internet applications, search engines have become an indispensable tool in daily life, and word segmentation search is a very important search method in search engines. When developing projects using the ThinkPHP6 framework, we also need to have an in-depth understanding and application of word segmentation search. This article will introduce how to perform word segmentation search in ThinkPHP6.

1. Introduction to word segmentation search

Word segmentation search is to segment the keywords entered by the user, and then conduct a fuzzy search in the database to find matching records. Compared with traditional search methods, word segmentation search can more accurately match the content that users need, improving search accuracy and user experience.

2. Word segmentation operation tools

Before performing word segmentation search operations, you need to use some word segmentation operation tools. Commonly used ones include jieba word segmentation, sphinx full-text search tools, etc. This article takes jieba word segmentation as an example to illustrate.

1. Download jieba thesaurus

You can download the relevant thesaurus files from jieba's official website, or you can use composer to introduce them directly into the project.

2. Use jieba word segmentation

Before using jieba word segmentation, you need to introduce the corresponding class library:

use     hinkFacadeConfig;
use     hinkacadeCache;
use xiaodiJiebaJieba;

Config::set('cache', ['type' => 'File']);
Jieba::init();

This code snippet implements jieba word segmentation Initialize the tool and set the cache type to file cache. Then, we can use jieba participle.

$seg_list = jiebaCutForSearch('分词搜索工具');

This code implements the word segmentation operation on the string "Word Segmentation Search Tool" and returns an array $seg_list containing the word segmentation results.

3. Implementation of word segmentation search in ThinkPHP6

When implementing word segmentation search, we need to operate the Query object of ThinkPHP6. You can use the following code to expand the query:

use     hinkdbQuery;

Query::macro('search', function ($keyword, $field) {
    $seg_list = jiebaCutForSearch($keyword);
    $where = [];
    foreach ($seg_list as $seg) {
        $where[] = [$field, 'like', '%' . $seg . '%'];
    }
    return $this->whereOr($where);
});

The The code implements the extended operation of the Query object and receives two parameters: $keyword is the keyword, and $field is the fields in which to search. First segment the keywords, then use the segmented results as conditions to search, and finally return the search results.

In actual use, the model can be extended, for example:

use     hinkModel;

class Article extends Model
{
    // 定义搜索方法
    public static function search($keyword)
    {
        return (new static())
            ->where('status', 1)
            ->search($keyword, 'title')
            ->order('create_time DESC');
    }
}

Here we extend the Article model, define the search method search, receive a parameter $keyword, and call the Query object search method to search.

4. Summary

Word segmentation search is a very important search method and is widely used in various Internet applications. When using ThinkPHP6 to develop projects, we also need to understand how to use word segmentation search to expand the Query object to improve search accuracy and user experience.

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