Reviewed by Aditya Kumar · Last reviewed 2026-03-24
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...
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.
Red Flag: Generic textbook answers. Pro-Move: 'At scale we measured X, implemented Y, achieved Z%—validated and iterated.'
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