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What is HAVING?

Filter groups with HAVING.

What is HAVING?

HAVING filters groups. WHERE filters rows, HAVING filters groups.

SELECT category, COUNT(*)
FROM products
GROUP BY category
HAVING COUNT(*) > 5;

This query returns categories with more than 5 products.

category, COUNT(*) is selected from products. Rows are grouped by category; aggregate functions are computed per group. HAVING COUNT(*) > 5 runs after grouping and drops groups that fail the condition.

What is HAVING? — details

HAVING runs after aggregation. WHERE is applied before GROUP BY, HAVING after.

For example, HAVING COUNT(*) > 5 keeps only categories with more than 5 products; you can't put this in WHERE because the count hasn't been computed yet.

Practice What is HAVING?

Find categories with more than 5 products using HAVING COUNT(*) > 5.

Starter code

query.sql
-- filter groups
SELECT category, COUNT(*)
FROM products
GROUP BY category

Sample solution

query.sql
SELECT category, COUNT(*)
FROM products
GROUP BY category
HAVING COUNT(*) > 5;

Expected output

category  count
Elektronik 8
Kitap     12

Questions and answers

Review the lesson questions together with their answers. To test yourself, solve the lesson interactively.

1 What does HAVING filter?

  • Groups Correct answer
  • Rows
  • Columns
  • Tables

Explanation: HAVING filters groups.

2 Add HAVING

Question 
SELECT category, COUNT(*)
FROM products
GROUP BY category
____ COUNT(*) > 5;
Answer 
SELECT category, COUNT(*)
FROM products
GROUP BY category
HAVING COUNT(*) > 5;

Explanation: HAVING filters groups; COUNT(*) > 5 keeps only categories with more than 5 products.

3 What is HAVING: match the terms

Term Meaning
HAVING group filter
WHERE row filter
GROUP BY group
COUNT count

All lessons in Intermediate

1 INNER JOIN in depth

  1. INNER JOIN logic
  2. Choosing the join column
  3. Three-table INNER JOIN
  4. Self JOIN
  5. Filtering joins
  6. Summary - INNER JOIN

2 LEFT and RIGHT JOIN

  1. LEFT JOIN
  2. RIGHT JOIN
  3. Unmatched rows
  4. JOINs with NULL
  5. LEFT vs RIGHT
  6. Summary - LEFT and RIGHT JOIN

3 FULL and CROSS JOIN

  1. FULL OUTER JOIN
  2. CROSS JOIN
  3. When to CROSS JOIN
  4. Comma JOIN
  5. Choosing a JOIN type
  6. Summary - FULL and CROSS JOIN

4 Project: Library database

  1. Library design
  2. Books and authors
  3. List loans with LEFT JOIN
  4. Find overdue loans
  5. Member summary

5 GROUP BY

  1. What is GROUP BY?
  2. Single-column grouping
  3. Multi-column grouping
  4. GROUP BY with aggregates
  5. Ordering grouped results
  6. Summary - GROUP BY

6 HAVING

  1. What is HAVING?
  2. HAVING vs WHERE
  3. HAVING with aggregates
  4. Multiple conditions
  5. HAVING with aliases
  6. Summary - HAVING

7 Aggregate functions

  1. COUNT
  2. SUM
  3. AVG
  4. MIN and MAX
  5. NULL and aggregates
  6. Summary - Aggregates

8 Project: Sales report

  1. Sales design
  2. Daily revenue
  3. Best sellers
  4. Customer segments
  5. Low performers

9 Subquery

  1. What is a subquery?
  2. Scalar subquery
  3. Subquery with IN
  4. ANY and ALL
  5. Correlated subquery
  6. Summary - Subquery

10 EXISTS

  1. What is EXISTS?
  2. NOT EXISTS
  3. EXISTS vs IN
  4. EXISTS performance
  5. Multiple EXISTS
  6. Summary - EXISTS

11 UNION and INTERSECT

  1. UNION
  2. UNION ALL
  3. INTERSECT
  4. EXCEPT
  5. Set rules
  6. Summary - UNION and INTERSECT

12 CASE

  1. What is CASE?
  2. Searched CASE
  3. Simple CASE
  4. The ELSE branch
  5. CASE with aggregates
  6. Summary - CASE

13 VIEW

  1. What is a VIEW?
  2. CREATE VIEW
  3. Querying a VIEW
  4. DROP VIEW
  5. Updatable VIEWs
  6. Summary - VIEW

14 INDEX basics

  1. What is an INDEX?
  2. CREATE INDEX
  3. Composite INDEX
  4. DROP INDEX
  5. When to index
  6. Summary - INDEX

15 Project: Blog database

  1. Blog design
  2. Post list
  3. Tag search
  4. Author stats
  5. Search index

16 Normalization

  1. What is normalization?
  2. First normal form
  3. Second normal form
  4. Third normal form
  5. BCNF
  6. Summary - Normalization

17 Data integrity

  1. What is integrity?
  2. Entity integrity
  3. Referential integrity
  4. Domain integrity
  5. Integrity with triggers
  6. Summary - Data integrity

18 Transaction basics

  1. What is a transaction?
  2. BEGIN and COMMIT
  3. ROLLBACK
  4. SAVEPOINT
  5. ACID
  6. Summary - Transaction

19 ALTER and DROP

  1. ALTER TABLE
  2. Adding a column
  3. Dropping a column
  4. Changing a column type
  5. DROP TABLE
  6. Summary - ALTER and DROP

20 Intermediate final

  1. Multi-JOIN report
  2. Aggregate analysis
  3. Subquery challenge
  4. Transaction scenario