**Indexing**: B-tree/hash/bitmap structures for fast lookup; trades write cost for read speed. Use on high-selectivity filter/join columns. **Partitioning**: Physical segmentation (range/list/hash); partition pruning skips irrelevant data. **Execution plan**: Optimizer's chosen path—scan type, join algorithm, sort. EXPLAIN ANALYZE shows actual vs. estimated rows. **Why together**: Index within partition; partition reduces scope; plan reveals if both used....
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 Apple. The answer also includes follow-up discussion points that interviewers commonly explore.
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