Reviewed by Aditya Kumar · Last reviewed 2026-03-24
To find at least 3 consecutive numbers: use gaps-and-islands via row numbering. WITH t AS (SELECT num, num - ROW_NUMBER() OVER (ORDER BY num) AS grp FROM numbers), grouped AS (SELECT grp, MIN(num) start_num, MAX(num) end_num, COUNT(*) cnt FROM t GROUP BY grp HAVING COUNT(*) >=...
This easy-level SQL question appears frequently in data engineering interviews at companies like Incedo. While less common, it tests deeper understanding that distinguishes strong candidates.
Start by clearly defining the core concept being asked about. Interviewers want to see that you understand the fundamentals before diving into implementation details. Structure your answer with a definition, then explain the practical application with a concise example.
To find at least 3 consecutive numbers: use gaps-and-islands via row numbering. WITH t AS (SELECT num, num - ROW_NUMBER() OVER (ORDER BY num) AS grp FROM numbers), grouped AS (SELECT grp, MIN(num) start_num, MAX(num) end_num, COUNT() cnt FROM t GROUP BY grp HAVING COUNT() >= 3) SELECT start_num, end_num, cnt FROM grouped. Logic: num - ROW_NUMBER() is constant for consecutive numbers. Alternative with LAG/LEAD: SELECT num FROM (SELECT num, LAG(num) OVER (ORDER BY num) prev, LEAD(num) OVER (ORDER BY num) nxt FROM numbers) t WHERE num - prev = 1 AND nxt - num = 1 (finds middle of 3); for variable length use the grp approach. Why it matters: Design choices compound at scale—wrong approach can cause 100× overhead. Scalability trade-offs: Profile before optimizing; validate on sample then full. Cost implications: Suboptimal choices multiply at billion-row scale.
Red Flag: Generic textbook answers. Pro-Move: 'At scale we measured X, implemented Y, achieved Z%—validated and iterated.'
Some links below are affiliate links. If you buy through them we may earn a small commission at no extra cost to you — it helps keep DataEngPrep free.
According to DataEngPrep.tech, this is one of the most frequently asked SQL interview questions, reported at 1 company. DataEngPrep.tech maintains an editor-reviewed database of 1,863 data engineering interview questions across 7 categories.