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Optimization Techniques Beyond Repartitioning and Caching

SQLhard0.4 min readPremium
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
joinoptimizationpartition
Expert AnswerPremium
85 wordsInterview-ready
Beyond repartition/cache: (1) Broadcast small tables for joins. (2) Predicate pushdown—filter early. (3) Projection pruning—select only needed columns. (4) Partition pruning for partitioned reads. (5) Coalesce before writes to reduce files. (6) AQE (Adaptive Query Execution). (7) Salting for skewed joins. (8) Avoid shuffle when possible. (9) Use bucketing. (10) Tune executor memory, parallelism. **Why it matters**: Design choices compound at scale—wrong approach can cause 100× overhead....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like JIO. The answer also includes follow-up discussion points that interviewers commonly explore.

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