Challenge - 5 Problems
ALL, ANY, SOME Mastery
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Test your skills under time pressure!
❓ query_result
intermediate2:00remaining
Output of ALL with subquery
Given a table products with columns
id, price, and category, what is the output of this query?SELECT id FROM products WHERE price > ALL (SELECT price FROM products WHERE category = 'Books');
PostgreSQL
SELECT id FROM products WHERE price > ALL (SELECT price FROM products WHERE category = 'Books');
Attempts:
2 left
💡 Hint
ALL means the condition must be true for every value returned by the subquery.
✗ Incorrect
The query selects products whose price is greater than every price of products in the 'Books' category. This means the product's price is higher than the maximum price in 'Books'.
❓ query_result
intermediate2:00remaining
Output of ANY with subquery
Consider a table employees with columns
id, salary, and department. What does this query return?SELECT id FROM employees WHERE salary < ANY (SELECT salary FROM employees WHERE department = 'Sales');
PostgreSQL
SELECT id FROM employees WHERE salary < ANY (SELECT salary FROM employees WHERE department = 'Sales');
Attempts:
2 left
💡 Hint
ANY means the condition must be true for at least one value from the subquery.
✗ Incorrect
The query returns employees whose salary is less than at least one salary in the Sales department. This includes employees with salary less than the maximum or any salary in Sales.
📝 Syntax
advanced2:00remaining
Identify the syntax error in this ALL query
Which option contains a syntax error when using ALL with a subquery in PostgreSQL?
PostgreSQL
SELECT id FROM orders WHERE amount > ALL SELECT amount FROM orders WHERE status = 'completed';
Attempts:
2 left
💡 Hint
Check if the subquery is properly enclosed.
✗ Incorrect
The ALL operator requires the subquery to be enclosed in parentheses. Missing parentheses causes a syntax error.
❓ optimization
advanced2:00remaining
Optimizing ANY with subquery for performance
You have a large sales table with columns
id, region, and amount. Which query is more efficient to find sales with amount less than any sale in region 'East'?Attempts:
2 left
💡 Hint
Rewrite ANY with an aggregate function to reduce subquery size.
✗ Incorrect
Using MAX() in the subquery reduces the number of comparisons and improves performance compared to ANY with a subquery returning many rows.
🧠 Conceptual
expert2:00remaining
Understanding SOME synonym behavior
In PostgreSQL, which statement about the SOME keyword is correct?
Attempts:
2 left
💡 Hint
Check PostgreSQL documentation for SOME keyword meaning.
✗ Incorrect
In PostgreSQL, SOME is exactly the same as ANY and can be used interchangeably.