How to improve search performance using MySQL's full-text index

How to use MySQL's full-text index to improve search performance

1. Introduction
   MySQL is a commonly used relational database management system that is widely used in various applications. In most applications, search functionality is a very important and necessary part. However, when the amount of data is huge, using traditional fuzzy search methods may cause performance degradation. MySQL's full-text index is a powerful tool that can improve search performance.
2. Full-text index overview
   MySQL's full-text index is an index structure that can handle natural language queries. Unlike traditional indexing methods, full-text indexing can perform keyword searches in text data. It can not only improve search efficiency, but also support various powerful search functions, such as full-text search, Boolean search, etc.
3. Creating a full-text index
   In MySQL, creating a full-text index is very simple. Just add a full-text index type column to the table where you want to create a full-text index, and then use the ALTER TABLE statement to add a full-text index. The following is a sample code:

ALTER TABLE `table_name` ADD FULLTEXT(`column_name`);

table_name is the name of the table to create a full-text index, column_name is the name of the column to be added to the full-text index.

4. Full-text search syntax
   When searching using the full-text index, you can use the following syntax:

SELECT * FROM `table_name` WHERE MATCH(`column_name`) AGAINST ('keyword');

You can replace table_name with For the table name to be searched, column_name is replaced with the column name to be searched, and keyword is replaced with the keyword to be searched.

5. Full-text search function
   Full-text index can not only perform exact matching search, but also fuzzy search, Boolean search, etc. The following are some commonly used full-text search functions and their sample codes:

• Exact match search:

  SELECT * FROM `table_name` WHERE MATCH(`column_name`) AGAINST ('keyword' IN BOOLEAN MODE);

• Fuzzy search:

  SELECT * FROM `table_name` WHERE MATCH(`column_name`) AGAINST ('keyword*' IN BOOLEAN MODE);

• Boolean search:

  SELECT * FROM `table_name` WHERE MATCH(`column_name`) AGAINST ('keyword1 +keyword2' IN BOOLEAN MODE);

6. Full-text search performance tuning
   In order to further improve the performance of full-text search, you can use some techniques and strategy. The following are some commonly used full-text search performance tuning methods:

• Set the minimum character length:

  SET ft_min_word_len = 2;

• Set stop words:

  SET ft_stopword_file = 'path/to/stopwords.txt';

• Improve keyword relevance:

  SELECT * FROM `table_name` WHERE MATCH(`column_name`) AGAINST ('+keyword1 +keyword2' IN BOOLEAN MODE);

##Sample code
7. In order to better understand the usage of full-text indexing and Effect, the following is a simple sample code:
   

-- 创建全文索引
ALTER TABLE `articles` ADD FULLTEXT(`title`, `content`);

-- 搜索文章
SELECT * FROM `articles` WHERE MATCH(`title`, `content`) AGAINST ('MySQL' IN BOOLEAN MODE);

Summary
8. This article introduces methods and techniques on how to use MySQL's full-text index to improve search performance. By using full-text indexing, search efficiency can be greatly improved and a variety of powerful search functions are supported. I hope this article can help everyone use full-text indexing in actual development.
   

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