PERCENT_RANK in Redshift

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


Function Details

PERCENT_RANK returns a row's relative rank as a percentage between 0 and 1.

No behavioral details such as default frames, NULL-handling, or ordering restrictions are described.

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

Syntax supports PERCENT_RANK() OVER (window); no arguments are permitted.

SELECT PERCENT_RANK() OVER (PARTITION BY category ORDER BY price) AS pct_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

PERCENT_RANK is part of a bigger window-function pattern. If you want the “why”, start here: Percentile Distribution

Prove it with a real query

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

Percent Rank: Species Spending Edition

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.