Window Functions 101: Introduction and Simple Use Cases

Ashimabha Bose
4 min readSep 20, 2023

Follow for content on Investing : LinkedIn / Instagram

Follow for content on Technical: LinkedIn

Introduction: Unveiling Window Functions

Window functions are a powerful feature in PostgreSQL that can transform the way you analyze and extract insights from your data. Unlike traditional aggregate functions, window functions allow you to perform calculations across a set of table rows related to the current row. In this comprehensive guide, we’ll start with the basics of window functions and gradually dive into simple yet practical use cases.

Section 1: Understanding the OVER() Clause

The key to working with window functions is the `OVER()` clause. This clause defines the window or set of rows that the function will operate on. It allows you to specify the partitioning and ordering of rows within the window.

In this example, we’re calculating the average salary within each department using the `PARTITION BY` clause within the `OVER()` clause.

Section 2: ROW_NUMBER() —…

--

--

Ashimabha Bose

Senior Business Analyst | Power BI | Digital Marketer | Data Analyst | AI Enthusiast