How to use thinkorm to quickly implement the full-text search function of the database

How to use thinkorm to quickly implement the full-text search function of the database

Introduction:
In the modern Internet era, the amount of data is growing explosively. How to efficiently search and retrieve large amounts of text data has become a problem. An important question. Full-text search is a technical means to achieve comprehensive search of text content through search engines. In traditional relational databases, implementing the full-text search function is more complicated, but using some ORM frameworks can solve this problem well. This article will use thinkorm as an example to introduce how to quickly implement the full-text search function of the database through thinkorm.

Step 1: Install thinkorm
First, we need to install thinkorm in the project. Enter the project root directory and execute the following command:

pip install thinkorm

Step 2: Create a database and create a table
Create a database in the project and create a table named documents, use To store documents to be searched. You can use the following SQL statement:

CREATE TABLE documents (
    id INT AUTO_INCREMENT PRIMARY KEY,
    title VARCHAR(255),
    content LONGTEXT,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

Step 3: Define the model class
Using thinkorm, we need to define a model class for operating the documents table. Create a Document class in the project's model file and inherit the Model class. The code example is as follows:

from thinkorm import Model

class Document(Model):
    table = 'documents'

Step 4: Add a full-text search column
In order to implement the full-text search function, we need to add a full-text search column to the documents table to store the document Full text index. You can use the following SQL statement to add a full-text search column:

ALTER TABLE documents ADD COLUMN content_fts TEXT;

Step 5: Define the search method
Define a search method in the Document class for execution research all. The code example is as follows:

class Document(Model):
    table = 'documents'

    @classmethod
    def search(cls, keyword):
        return cls.where('MATCH(content_fts) AGAINST(?)', (keyword,))

Step 6: Create a full-text index
In order to enable the database to perform full-text search, we need to create a full-text index on the documents table. You can use the following SQL statement to create a full-text index:

ALTER TABLE documents ADD FULLTEXT INDEX ft_index (content_fts);

Step 7: Perform a full-text search
Now we can use the search method to perform a full-text search. The code example is as follows:

result = Document.search('thinkorm')
for document in result:
    print(document.title)
    print(document.content)

Summary:
Through the above steps, we can quickly use thinkorm to implement the full-text search function of the database. Using full-text search, we can efficiently search and retrieve large amounts of text data, improving the utilization value of the data. Of course, this is just one example. In actual use, there are more tuning and details that need to be processed according to specific situations. I hope this article can be helpful to everyone when implementing the full-text search function.

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