Full-text indexes in MySQL - Step-by-Step Execution

Concept Flow - Full-text indexes

Create Table with Text Column

↓

Add FULLTEXT Index on Text Column

↓

Insert Text Data into Table

↓

Run FULLTEXT Search Query

↓

MySQL Uses FULLTEXT Index to Find Matches

↓

Return Matching Rows Based on Relevance

The flow shows creating a table, adding a full-text index, inserting data, running a full-text search query, and retrieving matching rows using the index.

Execution Sample

MySQL

CREATE TABLE articles (
  id INT PRIMARY KEY,
  content TEXT,
  FULLTEXT(content)
);

SELECT * FROM articles WHERE MATCH(content) AGAINST('database');

This code creates a table with a full-text index on the content column and searches for rows containing the word 'database'.

Execution Table

Step	Action	Details	Result
1	Create Table	Table 'articles' with columns id, content, and FULLTEXT index on content	Table created successfully
2	Insert Data	Insert row: (1, 'This database tutorial explains full-text search')	Row inserted
3	Insert Data	Insert row: (2, 'Learn about indexes and queries')	Row inserted
4	Run Query	SELECT * FROM articles WHERE MATCH(content) AGAINST('database')	MySQL uses FULLTEXT index to find matches
5	Evaluate Match	Row 1 content contains 'database', Row 2 does not	Row 1 returned
6	Return Result	Return rows matching full-text search	1 row returned: id=1, content='This database tutorial explains full-text search'
7	End	No more rows to check	Query complete

💡 Query ends after returning all matching rows using the FULLTEXT index

Variable Tracker

Variable	Start	After Step 2	After Step 3	After Step 4	After Step 5	Final
Table 'articles'	empty	1 row inserted	2 rows inserted	unchanged	unchanged	2 rows total
Query Result Set	empty	empty	empty	evaluating	1 row matched	1 row returned

Key Moments - 3 Insights

Why does only one row return after the full-text search?

Because only the first row's content contains the word 'database' which matches the full-text search condition, as shown in execution_table row 5.

Does the full-text index speed up the search?

Yes, the FULLTEXT index allows MySQL to quickly find matching rows without scanning all rows, as indicated in execution_table row 4.

Can full-text search find partial words or only whole words?

Full-text search matches whole words or phrases, not partial words, so 'database' matches but 'data' alone would not unless indexed separately.

Visual Quiz - 3 Questions

Look at the execution_table, at which step does MySQL use the FULLTEXT index to find matches?

A Step 6

B Step 2

C Step 4

D Step 1

💡 Hint

Check the 'Action' and 'Details' columns in execution_table row 4.

According to variable_tracker, how many rows are in the table after Step 3?

A 2

B 0

C 1

D 3

💡 Hint

Look at the 'Table articles' row under 'After Step 3' in variable_tracker.

If the search term changed to 'indexes', which row would be returned based on execution_table logic?

A Row 1

B Row 2

C Both rows

D No rows

💡 Hint

Refer to execution_table row 5 where matching is evaluated based on content.

Concept Snapshot

Full-text indexes allow fast text searching in MySQL.
Create with FULLTEXT(column) on text columns.
Use MATCH(column) AGAINST('search') to query.
Only whole words or phrases match.
Speeds up searches on large text data.

Full Transcript

This visual execution traces how full-text indexes work in MySQL. First, a table named 'articles' is created with a text column 'content' and a FULLTEXT index on it. Then, two rows are inserted with text data. When a SELECT query uses MATCH(content) AGAINST('database'), MySQL uses the full-text index to quickly find matching rows. Only the first row contains the word 'database', so it is returned. The execution table shows each step from table creation, data insertion, query execution, to result return. The variable tracker shows the state of the table and query results after each step. Key moments clarify why only one row matches and how the index speeds up search. The quiz tests understanding of when the index is used, row counts, and matching logic. The snapshot summarizes the syntax and behavior of full-text indexes in MySQL.