AVG OVER in Databricks SQL

This page is a quick reference checkpoint for AVG OVER in Databricks SQL: behavior, syntax rules, edge cases, and a minimal example; plus the official vendor documentation.


Function Details

AVG OVER returns the average value of an expression across the window frame.

Supports window frames; example uses ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW

If this behavior feels unintuitive, the tutorial below explains the underlying pattern step-by-step.

AVG(expr) OVER ( [PARTITION BY ...] [ORDER BY ...] [window_frame] )

SELECT department, salary, AVG(salary) OVER (PARTITION BY department) AS avg_over_department FROM employees;

What should you do next?

If you came here to confirm syntax, you’re done. If you came here to get better at window functions, choose your next step.

Understand the pattern

AVG OVER is part of a bigger window-function pattern. If you want the “why”, start here: Aggregate Window Functions

Prove it with a real query

Reading docs is useful. Writing the query correctly under pressure is the skill.

Customer Spending, Averaged and Analyzed

Support Status

  • Supported: yes
  • Minimum Version: Databricks SQL Warehouses use a continuously updated engine without user-visible versions, so no minimum version can be specified.

Official Documentation

For the authoritative spec, use the vendor docs. This page is the fast “sanity check”.

View Databricks SQL Documentation →

Looking for more functions across all SQL dialects? Visit the full SQL Dialects & Window Functions Documentation.