**Architectural Logic**: Differ in tie handling—affects ranking semantics. **row_number**: Unique sequential (1,2,3,4); arbitrary tie-break. **rank**: Sequential with gaps for ties (1,2,2,4). **dense_rank**: Sequential without gaps (1,2,2,3). **Example**: Scores 100,90,90,80....
This medium-level SQL question appears frequently in data engineering interviews at companies like Fractal. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (partition) will help you answer variations of this question confidently.
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.
Architectural Logic: Differ in tie handling—affects ranking semantics. row_number: Unique sequential (1,2,3,4); arbitrary tie-break. rank: Sequential with gaps for ties (1,2,2,4). dense_rank: Sequential without gaps (1,2,2,3). Example: Scores 100,90,90,80. row_number: 1,2,3,4. rank: 1,2,2,4. dense_rank: 1,2,2,3. Use: row_number for pagination/dedup; rank/dense_rank for leaderboards. Best Practice: Always ORDER BY in OVER; PARTITION BY for groups. Choose based on business logic.
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Analyze My Answer — FreeAccording to DataEngPrep.tech, this is one of the most frequently asked SQL interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.