Full-Text Indexes — Complete Guide
Full-Text Indexes — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of MySQL Tutorial on Toolliyo Academy.
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MySQL Tutorial · Lesson 65 of 100
Full-Text Indexes
Basics ✓ → Advanced
Advanced · 2 — Production · ~10 min · MySQL — Indexing & Performance
What is this?
FULLTEXT indexes support natural language search on CHAR/VARCHAR/TEXT columns via MATCH ... AGAINST. InnoDB supports FULLTEXT in MySQL 8 with better performance than old MyISAM-only days.
Why should you care?
Product search on Flipkart titles needs word search beyond LIKE '%phone%' full table scan.
See it live — copy this example
Run in MySQL Workbench or the mysql CLI.
ALTER TABLE products ADD FULLTEXT idx_products_search (sku, attrs);
SELECT product_id, sku,
MATCH(sku) AGAINST('headphones wireless' IN NATURAL LANGUAGE MODE) AS score
FROM products
WHERE MATCH(sku) AGAINST('headphones wireless' IN NATURAL LANGUAGE MODE)
ORDER BY score DESC
LIMIT 10;What happened?
- FULLTEXT tokenizes query words.
- AGAINST finds relevant SKUs; score ranks them.
- BOOLEAN MODE adds +required -excluded operators for advanced search UI.
Practice next
- ADD FULLTEXT index on searchable columns.
- INSERT products with varied sku text.
- Run NATURAL LANGUAGE query.
- Compare LIKE '%headphones%' timing vs FULLTEXT on 100k rows (seed script).
- Set innodb_ft_min_token_size if needed for short SKUs.
Remember
FULLTEXT for word relevance search. MATCH must use same columns as index. BOOLEAN MODE for power users.
DataFlow catalog search
Storefront search bar hits FULLTEXT on sku + description column.
Outcome: Sub-second search on lakh-row catalog.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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