AVG OVER in Snowflake

This page is a quick reference checkpoint for AVG OVER in Snowflake: 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.

When used as a window function with ORDER BY: if no window frame is specified, the implied frame is RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW; VARCHAR inputs are implicitly cast to float and will error if cast fails.

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

AVG( [ DISTINCT ] <expr1> ) OVER ( [ PARTITION BY <expr2> ] [ ORDER BY <expr3> [ ASC | DESC ] [ <window_frame> ] ] )

SELECT region, amount, AVG(amount) OVER (PARTITION BY region ORDER BY amount) AS avg_over_region FROM sales;

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: Snowflake runs on a continuously deployed, versionless engine, so minimum version information does not apply.

Official Documentation

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

View Snowflake Documentation →

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