RANK in Databricks SQL

This page is a quick reference checkpoint for RANK in Databricks SQL: 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.

Rows with equal values receive the same rank; ranks skip after ties

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

RANK() OVER ( [PARTITION BY ...] ORDER BY ... )

SELECT RANK() OVER (ORDER BY salary) AS salary_rank, employee_id, salary 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

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: 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.