RANK in Redshift

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


Function Details

RANK assigns a ranking number to each row, giving equal values the same rank and leaving gaps after ties.

No behavioral details such as default frame clause, NULL-handling, or tie-handling specifics are described.

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

Syntax supports RANK() OVER (window); requires ORDER BY inside the window.

SELECT RANK() OVER (ORDER BY price) AS price_rank FROM products;

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

RANK is part of a bigger window-function pattern. If you want the “why”, start here: Ranking Functions

Prove it with a real query

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

Species Revenue Rankings

Support Status

  • Supported: yes
  • Minimum Version: Amazon Redshift auto-upgrades all clusters and does not publish SQL-by-version details, so minimum version is not applicable.

Official Documentation

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

View Redshift Documentation →

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