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Home/Questions/SQL/Joins and window functions - INNER, LEFT, RIGHT, FULL OUTER, ROW_NUMBER(), RANK(), DENSE_RANK()

Joins and window functions - INNER, LEFT, RIGHT, FULL OUTER, ROW_NUMBER(), RANK(), DENSE_RANK()

SQLhard0.7 min read

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

Joins: INNER = intersection only; LEFT = all left + matching right (NULL fill); RIGHT = mirror of LEFT; FULL OUTER = union of both. Why it matters: Join choice affects result cardinality and NULL handling—wrong join = wrong business logic (e.g., LEFT to preserve all customers...

🤖 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
KPMGNihilent
Interview Pro Tip

Red Flag: Reciting definitions without explaining when to use LEFT vs INNER or RANK vs ROW_NUMBER. Pro-Move: 'We use ROW_NUMBER for dedup (deterministic) and RANK for leaderboards (ties get same rank)—business requirement drove the choice'—connects technique to use case.

Key Concepts Tested
joinpartitionwindow

Why This Question Matters

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

How to Approach This

This is a senior-level question that tests architectural thinking. Lead with the high-level design, then drill into specifics. Discuss trade-offs explicitly - there is rarely one correct answer. Show awareness of scale, fault tolerance, and operational complexity.

Expert Answer
144 words

Joins: INNER = intersection only; LEFT = all left + matching right (NULL fill); RIGHT = mirror of LEFT; FULL OUTER = union of both. Why it matters: Join choice affects result cardinality and NULL handling—wrong join = wrong business logic (e.g., LEFT to preserve all customers even without orders). Window functions: ROW_NUMBER() = unique rank 1,2,3; RANK() = ties same rank, gaps after; DENSE_RANK() = ties same rank, no gaps. Why: ROW_NUMBER for dedup; RANK for 'top N per group with ties'; DENSE_RANK when rank gaps are meaningless. Scalability: JOIN order and size drive shuffle in distributed engines; put smaller table on broadcast side when possible. Cost: Window with PARTITION BY causes shuffle; ORDER BY alone can be cheaper. Example: SELECT *, ROW_NUMBER() OVER (PARTITION BY dept ORDER BY salary DESC) rn FROM employees e LEFT JOIN departments d ON e.dept_id = d.id;

⚡
Pro Tip

Red Flag: Reciting definitions without explaining when to use LEFT vs INNER or RANK vs ROW_NUMBER. Pro-Move: 'We use ROW_NUMBER for dedup (deterministic) and RANK for leaderboards (ties get same rank)—business requirement drove the choice'—connects technique to use case.

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Related SQL Questions

mediumWrite an SQL query to find the second-highest salary from an employee table.FreemediumDemonstrate the difference between DENSE_RANK() and RANK()FreemediumDiscuss differences between ROW_NUMBER(), RANK(), and DENSE_RANK(), and provide examples from your projects.FreemediumExplain the differences between Data Warehouse, Data Lake, and Delta LakeFreemediumExplain the differences between Repartition and Coalesce. When would you use each?Free

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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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