Lesson 2.6: Limiting Results with LIMIT and OFFSET

When working with large tables, you often don't want to retrieve every single row. Sometimes you only need the first few records, or you want to implement "paging" (showing results on Page 1, Page 2, etc.). For these tasks, we use the LIMIT and OFFSET clauses.

The LIMIT Clause

The LIMIT clause is used to specify the maximum number of rows that the query should return.

Syntax

SELECT column1, column2, ...
FROM table_name
ORDER BY column_name
LIMIT count;

• count: The maximum number of rows to return.

Note: It is highly recommended to use LIMIT in conjunction with ORDER BY. Without sorting, the "first X rows" could be any rows, depending on how the database engine optimizes the query.

The OFFSET Clause

The OFFSET clause tells the database to skip a specific number of rows before it starts returning the results.

Syntax

SELECT column1, column2, ...
FROM table_name
ORDER BY column_name
LIMIT count OFFSET skip;

• skip: The number of rows to skip before starting to return rows.

Pagination: Combining LIMIT and OFFSET

Pagination is the process of dividing a large result set into discrete pages. This is the most common use case for combining LIMIT and OFFSET.

• Page 1: LIMIT 10 OFFSET 0 (Rows 1-10)
• Page 2: LIMIT 10 OFFSET 10 (Rows 11-20)
• Page 3: LIMIT 10 OFFSET 20 (Rows 21-30)

Examples

Example 1: Top 5 Longest Films

This query finds the 5 longest films in the film table.

SELECT title, length
FROM film
ORDER BY length DESC
LIMIT 5;

Example 2: Skipping Records

This query skips the first 10 actors (ordered by ID) and returns the next 5.

SELECT actor_id, first_name, last_name
FROM actor
ORDER BY actor_id
LIMIT 5 OFFSET 10;

Key Takeaways from this Lesson:

• LIMIT restricts the number of rows in the result set.
• OFFSET skips a specified number of rows before returning data.
• Combining LIMIT and OFFSET is the standard way to implement pagination.
• Always use ORDER BY with these clauses to ensure predictable results.

In the next lesson, we will see how to combine WHERE, ORDER BY, and LIMIT to build powerful and precise queries.