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SQL Window Functions Explained: Stop Collapsing Your Data with GROUP BY
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SQL Window Functions Explained: Stop Collapsing Your Data with GROUP BY

DEV CommunityΒ·Vivek KumarΒ·about 1 month ago
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#sql#database#postgres#tutorial#salary#department
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You're writing a query to find each employee's salary alongside the average salary for their department. Your first instinct might be to reach for GROUP BY β€” but then you'd lose the individual employee rows. So you write a subquery, or a join against an aggregated CTE, and suddenly a simple question becomes a 20-line monster. Window functions exist precisely to solve this. They let you perform calculations across a set of related rows without collapsing your result set. The row stays intact; the calculation rides alongside it. Once you understand them, you'll wonder how you ever lived without them. This guide covers the fundamentals: what a window is, how OVER , PARTITION BY , and ORDER BY work inside it, and the most useful window functions you'll reach for every day. What Is a Window Function? A window function performs a calculation over a "window" β€” a defined set of rows related to the current row.…

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