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Multiple conditions

Use AND and OR inside HAVING.

Multiple conditions

You can combine multiple conditions in HAVING with AND and OR.

SELECT category, COUNT(*), SUM(price)
FROM products
GROUP BY category
HAVING COUNT(*) > 3 AND SUM(price) > 200;

This query returns categories with many products and high totals.

category, COUNT(*), SUM(price) is selected from products. Rows are grouped by category; aggregate functions are computed per group. HAVING COUNT(*) > 3 AND SUM(price) > 200 runs after grouping and drops groups that fail the condition.

Multiple conditions — details

AND requires both conditions, OR at least one. Parentheses set precedence.

For example, HAVING COUNT(*) > 3 AND SUM(price) > 200 keeps categories that are both large and high in total value.

Practice Multiple conditions

Combine COUNT(*) > 3 AND SUM(price) > 200 in HAVING.

Starter code

query.sql
-- two conditions
SELECT category, COUNT(*), SUM(price)
FROM products
GROUP BY category

Sample solution

query.sql
SELECT category, COUNT(*), SUM(price)
FROM products
GROUP BY category
HAVING COUNT(*) > 3 AND SUM(price) > 200;

Expected output

category  count  sum
Elektronik 5      350

Questions and answers

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

1 Add AND

Question 
HAVING COUNT(*) > 3 ____ SUM(price) > 200;
Answer 
HAVING COUNT(*) > 3 AND SUM(price) > 200;

Explanation: Two HAVING conditions are combined with AND; a group must meet both.

2 What does AND require?

  • Only one of them
  • None
  • Some of them
  • Both conditions Correct answer

Explanation: AND requires both conditions to be true.

3 Multiple conditions: match the terms

Term Meaning
AND both
OR at least one
NOT not
HAVING group filter

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