Top 3 Essential Explain any three aggregate functions with examples | iiQ8

Explain any three aggregate functions with examples | iiQ8

Aggregate Functions are keywords in SQL used to manipulate values within columns for output purposes. A function is a command always used in conjunction with a column name or expression. There are several types of functions in SQL.  An aggregate function is used to provide summarization information for an SQL statement, such as counts, totals, and averages.

Here are three commonly used aggregate functions in SQL, along with simple explanations and examples:

 

🔹 1. COUNT()

Purpose:
Returns the number of rows that match a specified condition.

Example:

SELECT COUNT(*) AS total_employees

FROM employees;

Explanation:
This query returns the total number of rows in the employees table.

🔹 2. SUM()

Purpose:
Returns the sum of values in a numeric column.

Example:

SELECT SUM(salary) AS total_salary

FROM employees

WHERE department = ‘Sales’;

Explanation:
This query returns the total salary paid to employees in the Sales department.

🔹 3. AVG()

Purpose:
Calculates the average value of a numeric column.

Example:

SELECT AVG(age) AS average_age

FROM employees;

Explanation:
This query returns the average age of all employees.

Explain any three aggregate functions with examples | iiQ8

Summary Table:

Function Description Example Use Case
COUNT() Counts rows Total number of users
SUM() Adds up numeric values Total sales for a month
AVG() Calculates the average Average customer rating

 

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MIN      – returns the smallest value in a given column
 
MAX     – returns the largest value in a given column
 
SUM    – returns the sum of the numeric values in a given column
 
AVG     – returns the average value of a given column
 
COUNT- returns the total number of values in a given column
 
COUNT(*) – returns the number of rows in a table
 
SQL Aggregate Functions: SQL Aggregate Functions operate on complete sets of data and return a single result. PointBase supports five Aggregate Functions: AVG, COUNT, MAX, MIN, and SUM.
 
AVG
The AVG Function returns the average value for the column when applied to a column containing numeric data. The following is the syntax for the AVG Function.
AVG (column_name)
Example : SELECT AVG(commission_rate) FROM sales_rep_tbl
COUNT
The COUNT Function returns the number of rows in a specified result set. The following syntax is one form of the COUNT Function:
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COUNT(*)
Example : SELECT COUNT(*) FROM sales_rep_tbl
The second form of the COUNT Function returns the number of rows in a result set where the specified column has a distinct, non-NULL value. The following syntax is the second form of the COUNT Function.
COUNT(DISTINCT column_name)
 
MAX
The MAX Function returns the data item with the highest value for a column when applied to a column containing numeric data. If you apply the MAX Function to a CHARACTER value, it returns the last value in the sorted values for that column. The following syntax is for the MAX Function.
MAX(column_name)
Example : SELECT MAX(commission_rate) FROM sales_rep_tbl
 
MIN
 
The MIN Function returns the data item with the lowest value for a column when applied to a column containing numeric data. If you apply the MIN Function to a CHARACTER value, it returns the first value in the sorted values for that column. The following syntax is for the MIN Function.
MIN(column_name)
 
Example : SELECT MIN(commission_rate) FROM sales_rep_tbl
 
SUM
 
The SUM Function returns the sum of all values in the specified column. The result of the SUM Function has the same precision as the column on which it is operating. The following syntax is for the SUM Function.
SUM(column_name)
 

 

Example : SELECT SUM(ytd_sales) FROM sales_rep_tbl

Top 10 Interview Questions and Answers related to SQL Aggregate Functions, perfect for database, analyst, and backend developer roles:

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Explain any three aggregate functions with examples | iiQ8

 

🔹 1. What are aggregate functions in SQL?

Answer:
Aggregate functions perform a calculation on a set of values and return a single value. They are used with GROUP BY to group results and include functions like COUNT(), SUM(), AVG(), MIN(), and MAX().

🔹 2. What is the difference between COUNT(*) and COUNT(column_name)?

Answer:

  • COUNT(*) counts all rows, including those with NULLs.
  • COUNT(column_name) counts only non-NULL values in that column.

🔹 3. How is the SUM() function used?

Answer:
SUM() returns the total of a numeric column.

Example:

SELECT SUM(salary) FROM employees;

🔹 4. What does the AVG() function return?

Answer:
AVG() returns the average of a numeric column’s values.

🔹 5. Can we use aggregate functions in WHERE clause?

Answer:
No. Aggregate functions cannot be used in WHERE. Use them in the HAVING clause after grouping.

🔹 6. What is the difference between WHERE and HAVING with aggregate functions?

Answer:

  • WHERE filters before aggregation.
  • HAVING filters after aggregation.

Example:

SELECT department, AVG(salary)

FROM employees

GROUP BY department

HAVING AVG(salary) > 50000;

🔹 7. How do you find the maximum or minimum value in a column?

Answer:

  • Use MAX(column_name) to get the highest value.
  • Use MIN(column_name) to get the lowest value.

🔹 8. Can we use aggregate functions without GROUP BY?

Answer:
Yes. Aggregate functions can be used without GROUP BY to return a single value for the whole table.

Example:

SELECT COUNT(*) FROM orders;

🔹 9. What will be the result of COUNT(NULL)?

Answer:
COUNT(NULL) returns 0 because it ignores NULL values.

🔹 10. How do aggregate functions handle NULL values?

Answer:
Most aggregate functions ignore NULLs, except COUNT(*), which includes all rows regardless of NULLs.

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Explain any three aggregate functions with examples | iiQ8

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