Combining multiple aggregates in SQL

Introduction

We use multiple aggregates to get different summary numbers from data in one query. This helps us understand data better in one go.

When you want to find the total and average sales in one report.

When you need to count how many items and find the maximum price at the same time.

When you want to see the smallest and largest values in a column together.

When you want to get multiple summary statistics like sum, count, and average for a group of data.

Syntax

SQL

SELECT AGGREGATE_FUNCTION1(column), AGGREGATE_FUNCTION2(column), ... FROM table_name;

AGGREGATE_FUNCTION can be SUM, COUNT, AVG, MIN, MAX, etc.

You can combine many aggregates separated by commas in the SELECT clause.

Examples

Counts all rows and sums the price column in the sales table.

SQL

SELECT COUNT(*), SUM(price) FROM sales;

Finds average, maximum, and minimum age from the users table.

SQL

SELECT AVG(age), MAX(age), MIN(age) FROM users;

Counts unique categories and sums quantity in products.

SQL

SELECT COUNT(DISTINCT category), SUM(quantity) FROM products;

Sample Program

This creates a table orders, adds three rows, then shows total orders, total amount, and average amount in one query.

SQL

CREATE TABLE orders (id INT, amount DECIMAL);
INSERT INTO orders VALUES (1, 100.50), (2, 200.00), (3, 50.25);
SELECT COUNT(id) AS total_orders, SUM(amount) AS total_amount, AVG(amount) AS average_amount FROM orders;

Important Notes

Make sure to use aliases (AS) to name your result columns for clarity.

Aggregates ignore NULL values except COUNT(*), which counts all rows.

You can combine aggregates with GROUP BY to get summaries per group.

Summary

Multiple aggregates let you get many summary numbers in one query.

Use commas to separate aggregate functions in the SELECT clause.

Always check your results with aliases to understand the output.

Practice

1. What does combining multiple aggregate functions in a single SQL query allow you to do?

easy

A. Get several summary values like totals and averages in one result

B. Run multiple queries at the same time

C. Create new tables automatically

D. Sort data without using ORDER BY

Solution

1. Step 1: Understand aggregate functions

   Aggregate functions like SUM() and AVG() calculate summary values from data.

2. Step 2: Combining aggregates in one query

   Using commas, you can list multiple aggregates in SELECT to get many summaries at once.

3. Final Answer:

   Get several summary values like totals and averages in one result -> Option A

4. Quick Check:

   Multiple aggregates = multiple summaries [OK]

Hint: Use commas to separate aggregates in SELECT [OK]

Common Mistakes:

• Thinking multiple queries run simultaneously
• Confusing aggregates with table creation
• Assuming aggregates sort data automatically

2. Which of the following is the correct syntax to combine multiple aggregates in one SQL SELECT statement?

easy

A. SELECT SUM(price) AND AVG(price) FROM sales;

B. SELECT SUM(price), AVG(price) FROM sales;

C. SELECT SUM(price) AVG(price) FROM sales;

D. SELECT SUM(price) OR AVG(price) FROM sales;

Solution

1. Step 1: Check aggregate separation

   Aggregates must be separated by commas in SELECT clause.

2. Step 2: Identify correct syntax

   SELECT SUM(price), AVG(price) FROM sales; uses commas correctly; others use AND, OR, or no separator which is invalid.

3. Final Answer:

   SELECT SUM(price), AVG(price) FROM sales; -> Option B

4. Quick Check:

   Aggregates separated by commas [OK]

Hint: Separate aggregates with commas, not AND/OR [OK]

Common Mistakes:

• Using AND or OR instead of commas
• Omitting commas between aggregates
• Writing aggregates without any separator

3. Given the table orders with column amount, what will this query return?

SELECT COUNT(*), MAX(amount), MIN(amount) FROM orders;

medium

A. Number of rows, highest amount, lowest amount

B. Sum of amounts, average amount, number of rows

C. Only the highest amount

D. Syntax error due to multiple aggregates

Solution

1. Step 1: Understand each aggregate

   COUNT(*) counts rows, MAX(amount) finds highest value, MIN(amount) finds lowest value.

2. Step 2: Combine results

   All three aggregates return one row with three summary values: count, max, and min.

3. Final Answer:

   Number of rows, highest amount, lowest amount -> Option A

4. Quick Check:

   COUNT, MAX, MIN = count, max, min [OK]

Hint: Each aggregate returns one summary value in the result [OK]

Common Mistakes:

• Confusing COUNT(*) with SUM(amount)
• Expecting multiple rows instead of one
• Thinking multiple aggregates cause syntax error

4. Identify the error in this SQL query:

SELECT SUM(price), AVG(price) FROM sales GROUP BY category;

medium

A. No error, query is correct

B. Cannot use SUM and AVG together

C. Missing GROUP BY column in SELECT clause

D. GROUP BY should be after WHERE clause

Solution

1. Step 1: Check GROUP BY usage

   When using GROUP BY category, category must appear in SELECT to show groups.

2. Step 2: Identify missing column

   Query selects only aggregates but misses category column, causing error or unexpected output.

3. Final Answer:

   Missing GROUP BY column in SELECT clause -> Option C

4. Quick Check:

   GROUP BY columns must appear in SELECT [OK]

Hint: Include GROUP BY columns in SELECT list [OK]

Common Mistakes:

• Omitting GROUP BY column in SELECT
• Thinking SUM and AVG can't be combined
• Misplacing GROUP BY clause

5. You want to find the total sales, average sales, and number of sales for each product category in a sales table with columns category and amount. Which query correctly combines these aggregates?

hard

A. SELECT category, SUM(amount) AND AVG(amount) AND COUNT(*) FROM sales GROUP BY category;

B. SELECT SUM(amount), AVG(amount), COUNT(*) FROM sales;

C. SELECT category, SUM(amount), AVG(amount), COUNT(*) FROM sales;

D. SELECT category, SUM(amount), AVG(amount), COUNT(*) FROM sales GROUP BY category;

Solution

1. Step 1: Include category in SELECT and GROUP BY

   To get aggregates per category, category must be in SELECT and GROUP BY.

2. Step 2: Combine aggregates with commas

   SUM(amount), AVG(amount), COUNT(*) are combined with commas to get totals, averages, and counts.

3. Final Answer:

   SELECT category, SUM(amount), AVG(amount), COUNT(*) FROM sales GROUP BY category; -> Option D

4. Quick Check:

   GROUP BY category with aggregates = SELECT category, SUM(amount), AVG(amount), COUNT(*) FROM sales GROUP BY category; [OK]

Hint: Group by category and list aggregates with commas [OK]

Common Mistakes:

• Missing GROUP BY clause
• Using AND instead of commas between aggregates
• Not including category in SELECT when grouping