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Home/Questions/SQL/Explain SQL Window Functions with examples.

Explain SQL Window Functions with examples.

SQLmedium0.5 min read

Reviewed by Aditya Kumar Β· Last reviewed 2026-03-24

**Architectural Logic**: Window functions compute over a "frame" of rows related to the current row without collapsing rows. Syntax: func() OVER (PARTITION BY ... ORDER BY ... [frame]). Categories: Ranking (ROW_NUMBER, RANK, DENSE_RANK), Aggregate (SUM, AVG over partitions),...

πŸ€– Analyze Your Answer
Frequency
Low
Asked at 3 companies
Category
487
questions in SQL
Difficulty Split
130E|271M|86H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
AareteDunnhumbyIncedo
Interview Pro Tip

Red Flag: Using unbounded frames (e.g., ROWS UNBOUNDED PRECEDING) without understanding memory impact. Pro-Move: 'For running totals I use ROWS BETWEEN 90 PRECEDING AND CURRENT ROW to bound memory.'

Key Concepts Tested
joinpartitionsqlwindow

Why This Question Matters

This medium-level SQL question appears frequently in data engineering interviews at companies like Aarete, Dunnhumby, Incedo. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (join, partition, sql) will help you answer variations of this question confidently.

How to Approach This

Break this problem into components. Identify the core trade-offs involved, then walk the interviewer through your reasoning step by step. Demonstrate awareness of edge cases and production considerations - this is what separates good answers from great ones.

Expert Answer
109 words

Architectural Logic: Window functions compute over a "frame" of rows related to the current row without collapsing rows. Syntax: func() OVER (PARTITION BY ... ORDER BY ... [frame]). Categories: Ranking (ROW_NUMBER, RANK, DENSE_RANK), Aggregate (SUM, AVG over partitions), Value (LAG, LEAD, FIRST_VALUE). Why: Enable row-level analytics (running totals, moving averages, prior/next comparisons) without self-joins. Self-joins duplicate data and are slower. Scalability: Requires sort within partition; PARTITION BY narrows sort scope. Unbounded frames (e.g., SUM OVER (ORDER BY ...)) can cause memory pressure; use ROWS BETWEEN when possible. Cost: Window functions often cheaper than correlated subqueries or self-joins. Example: AVG(salary) OVER (PARTITION BY dept) adds department average to each row.

⚑
Pro Tip

Red Flag: Using unbounded frames (e.g., ROWS UNBOUNDED PRECEDING) without understanding memory impact. Pro-Move: 'For running totals I use ROWS BETWEEN 90 PRECEDING AND CURRENT ROW to bound memory.'

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According to DataEngPrep.tech, this is one of the most frequently asked SQL interview questions, reported at 3 companies. DataEngPrep.tech maintains an editor-reviewed database of 1,863 data engineering interview questions across 7 categories.

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