Create MySQL Full-Text Index on Single Column with Solution

Creating a Full-Text Index on a Single Column

Write a MySQL query to add a full-text index on the "Content" column of the Articles table.

Solution:

-- Create a full-text index on the "Content" column.

-- Modify the Articles table to add a full-text index on the Content column.
ALTER TABLE Articles

-- Use ADD FULLTEXT INDEX to create a full-text index named 'idx_content' on the Content column.
-- A full-text index enables efficient full-text searches on the specified column.
ADD FULLTEXT INDEX idx_content (Content);

Explanation:

• Purpose of the Query:
• To enhance the performance of full-text searches on the Content column.
• Demonstrates how to add a full-text index to a table column.
• Key Components:
• ALTER TABLE Articles : Specifies the table to be modified.
• ADD FULLTEXT INDEX idx_content (Content) : Creates a full-text index.
• Real-World Application:
• Essential for websites that require efficient and scalable text search capabilities.

Notes:

• The column must be of a text-based data type.
• Adding indexes may impact write performance, so use them judiciously.

For more Practice: Solve these Related Problems:

• Write a MySQL query to add a full-text index on the "Content" column with a custom index name and ensure it's applied only to rows with content length over 100 characters.
• Write a MySQL query to alter the Articles table and add a full-text index on the "Content" column, then query the information_schema to verify the index creation.
• Write a MySQL query to create a full-text index on the "Content" column and test its effectiveness by running a sample full-text search.
• Write a MySQL query to modify the Articles table to add a full-text index on the "Content" column and restrict indexing to non-null values only.

Go to:

• Advanced Full-Text Search Techniques for MySQL Mastery Exercises Home. ↩
• MySQL Exercises Home ↩

PREV : Full-Text Search Combined with Sorting by Date.
NEXT : Creating a Full-Text Index on Multiple Columns.

Have another way to solve this solution? Contribute your code (and comments) through Disqus.