**Logical order**: (1) FROM/JOIN—sources; (2) WHERE—row filter; (3) GROUP BY—aggregation; (4) HAVING—aggregate filter; (5) SELECT—projection, expressions, aliases; (6) DISTINCT; (7) ORDER BY; (8) LIMIT/OFFSET. **Why it matters**: You can't reference SELECT aliases in WHERE (they...
This medium-level SQL question appears frequently in data engineering interviews at companies like Fossil Group. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (join, sql) 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.
Logical order: (1) FROM/JOIN—sources; (2) WHERE—row filter; (3) GROUP BY—aggregation; (4) HAVING—aggregate filter; (5) SELECT—projection, expressions, aliases; (6) DISTINCT; (7) ORDER BY; (8) LIMIT/OFFSET. Why it matters: You can't reference SELECT aliases in WHERE (they don't exist yet); HAVING runs after GROUP BY so you filter on aggregates. Optimizer reality: Plan may reorder (predicate pushdown, join reorder) but semantics preserve this order. Performance implication: Filter early in WHERE to reduce rows before expensive joins/aggregates; use HAVING only when necessary.
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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.