How to implement a full-text search engine in PHP7.0?

With the continuous development of the information age, people increasingly rely on the Internet to obtain information. As one of the platforms for information sharing, web search engines are also constantly evolving and improving. This article will introduce how to implement a full-text search engine in PHP7.0, helping readers make better use of PHP technology and quickly build an efficient search engine.

1. Overview of full-text search engine

Full-text search uses keywords or phrases to search throughout the document to find the most matching results. Full-text search engines use algorithms to index documents to speed up searches. Among search engines, full-text search is the most commonly used search method.

2. Steps to implement a full-text search engine in PHP7.0

To implement a full-text search engine in PHP7.0, there are mainly the following steps:

1. Translate the document Convert to text format

Full-text search engines need to search in documents, so documents need to be converted to plain text format. You can use PHP libraries or tools, such as Tika and Apache PDFBox, to convert documents into plain text format. At the same time, it is recommended to archive and format the document for subsequent searching.

2. Create a full-text index in a MySQL database

MySQL is a popular relational database management system that can use full-text indexes for full-text search. Creating a full-text index in MySQL requires the Innodb engine. You can use the following command to create a full-text index in MySQL:

CREATE FULLTEXT INDEX index_name ON table_name (column_name)

where index_name is the name of the index, table_name is the name of the table where the index is created, and column_name is The column name to create the index.

3. Use PHP to search

Use PHP code to connect the MySQL database and search engine through the following process:

3.1 Connect to the MySQL database

Use the following code in PHP to connect to the MySQL database:

$conn = mysqli_connect("localhost", "username", "password", "database_name");

where , localhost is the MySQL database host name, username is the MySQL database user name, password is the MySQL database password, and database_name is the MySQL database name.

3.2 Execute the search statement

Use the following code in PHP to execute the search statement:

$sql = "SELECT * FROM table_name WHERE MATCH(column_name) AGAINST("search_string" IN BOOLEAN MODE)";

Among them, table_name is the table name to create the full-text index, column_name is the column name to create the full-text index, and search_string is the search string.

3.3 Processing search results

Use PHP code to process search results and display the results in the web page.

3. Full-text search engine optimization

In order to improve the efficiency and performance of the full-text search engine, it needs to be optimized. The main points are as follows:

1. Use full-text index

Using full-text index can speed up full-text search in the database. At the same time, the precision and accuracy of search results can be improved to a certain extent.

2. Use paging and caching

If there are too many search results, you can use paging and caching to reduce search time and optimize user experience.

3. Remove stop words

In search engines, stop words refer to words that have no actual meaning to search results, such as "的", "是", etc. Removing stop words can improve the accuracy and precision of search results.

4. Using fuzzy search

In search engines, fuzzy search can be used to perform fuzzy matching on input strings. This improves match and coverage of search results.

5. Use asynchronous technology

In search engines, asynchronous technology can improve search efficiency and response speed. Faster search can be achieved through asynchronous technology, and continuous optimization and improvement of search are required.

4. Summary

Full-text search engine is an indispensable function in the Internet, which can help users quickly obtain the information they need. Implementing a full-text search engine in PHP7.0 can be implemented using MySQL database and PHP code. At the same time, in order to improve search efficiency and performance, relevant optimization and improvements need to be made.

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