Reviewed by Aditya Kumar · Last reviewed 2026-03-24
**Architectural Logic**: CTE = inline; temp table = materialized—affects performance and reuse. **CTE**: Scope within query; no persistence; optimizer may inline. **Temp Table**: Materialized; session scope; can index; statistics available. **Use CTE**: One-off logic;...
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 (join) 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: CTE = inline; temp table = materialized—affects performance and reuse. CTE: Scope within query; no persistence; optimizer may inline. Temp Table: Materialized; session scope; can index; statistics available. Use CTE: One-off logic; readability; recursion. Use Temp Table: Multiple references; large intermediate; need indexes. Example: CTE for single-use subquery; temp table for CREATE TEMP TABLE t AS ...; CREATE INDEX ON t(col); then multiple joins. Scalability: Temp table enables index; CTE may duplicate work. Cost: Temp table has storage cost; CTE is compute-only within query. Best Practice: CTE for simplicity; temp table for performance with reuse; check query plan.
Red Flag: CTE for 5x reused 100M-row intermediate—waste. Pro-Move: Use temp table when referenced 2+ times and large; in Spark, cache() vs temp view; mention statistics benefit.
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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.