Reviewed by Aditya Kumar · Last reviewed 2026-03-24
**Architectural Logic**: Optimize in order—partition pruning, clustering, query rewrite, materialization, approximate methods. **Strategies**: (1) Partition pruning—predicate on partition column. (2) Clustering/sort keys—colocate related data. (3) Query rewrite—avoid SELECT *;...
Architectural Logic: Optimize in order—partition pruning, clustering, query rewrite, materialization, approximate methods. Strategies: (1) Partition pruning—predicate on partition column. (2) Clustering/sort keys—colocate related data. (3) Query rewrite—avoid SELECT *; push filters; reduce shuffle. (4) Materialized views—pre-aggregate common patterns. (5) Approximate—sampling, HyperLogLog when exact not needed. (6) Incremental—process only changed data. (7) Scale compute; tune parallelism. Why Order: Pruning has highest impact; materialization helps repeated queries. Scalability: Profile first (EXPLAIN, query stats); iterate. Cost: Each strategy reduces compute or storage; measure before/after.
Red Flag: Optimizing without profiling—guessing. Pro-Move: Say 'I'd run EXPLAIN first'; identify top bottleneck; mention specific technique (e.g., 'added partition filter, 10x improvement').
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