Table of Contents
Aggregation functions in SQL
Numeric aggregate functions:
Row set aggregate function:
Statistical aggregation function:
Optional aggregate function:
Usage of aggregate functions:
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What are the aggregate functions in sql

May 02, 2024 am 01:12 AM
aggregate function

Aggregation functions in SQL are used to calculate and return a single value for a set of rows. Common aggregation functions include: Numeric aggregation functions: COUNT(), SUM(), AVG(), MIN(), MAX() Row set aggregation functions: GROUP_CONCAT(), FIRST(), LAST() Statistical aggregation functions: STDDEV (), VARIANCE() optional aggregate functions: COUNT(DISTINCT), TOP(N)

What are the aggregate functions in sql

Aggregation functions in SQL

Aggregation A function is a function that performs a calculation on a set of rows and returns a single value. Common aggregate functions in SQL include:

Numeric aggregate functions:

  • COUNT(): Counts the number of rows in a group, including non-NULL values.
  • SUM(): Sums all non-NULL values ​​for a column in a group.
  • AVG(): Calculates the average of the non-NULL values ​​of a column in a group.
  • MIN(): Returns the minimum value of a column in the group.
  • MAX(): Returns the maximum value of a column in the group.

Row set aggregate function:

  • GROUP_CONCAT(): Concatenates all the values ​​​​of a column in the group into a string and specifies separator.
  • FIRST(): Returns the first non-NULL value for a column in the group.
  • LAST(): Returns the last non-NULL value for a column in the group.

Statistical aggregation function:

  • STDDEV(): Calculate the standard deviation of a column value in a group.
  • VARIANCE(): Calculates the variance of a column value in a group.

Optional aggregate function:

  • COUNT(DISTINCT): Counts the number of unique values ​​for a column in a group.
  • TOP(N): Returns the highest or lowest value of the specified number in the group.

Usage of aggregate functions:

Aggregation functions are typically used with the SQL GROUP BY clause, which groups data to apply aggregate calculations.

For example:

SELECT department_id, COUNT(*) AS employee_count
FROM employees
GROUP BY department_id;
Copy after login

This query will group the employees table based on the department_id column and count the number of employees in each department.

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