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Query to Print Match List Against Every Team

SQLmedium0.4 min readPremium

Match list per team: each team plays every other. Use self-join or cross join with filter. SELECT t1.team AS team_a, t2.team AS team_b FROM teams t1 CROSS JOIN teams t2 WHERE t1.team < t2.team (or != to include both orders). For actual matches: join matches to teams twice for...

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Frequency
Low
Asked at 1 company
Category
487
questions in SQL
Difficulty Split
130E|271M|86H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
JIO
Key Concepts Tested
join

Why This Question Matters

This medium-level SQL question appears frequently in data engineering interviews at companies like JIO. 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.

How to Approach This

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.

Expert Answer
81 words

Match list per team: each team plays every other. Use self-join or cross join with filter. SELECT t1.team AS team_a, t2.team AS team_b FROM teams t1 CROSS JOIN teams t2 WHERE t1.team < t2.team (or != to include both orders). For actual matches: join matches to teams twice for home/away. 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.

The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations covering performance optimization and real-world examples.

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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 a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.

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