Postgresql medium
What is the primary technical benefit of 'Declarative Partitioning' when executing queries against a massive analytical table?
- A It automatically identifies and removes duplicate records across different physical data files.
- B It allows the planner to skip (prune) entire partitions that do not match the query criteria.
- C It enables the use of high-speed GPU-based sorting for all aggregate and window functions.
- D It ensures that the entire table is cached in the CPU's L3 cache for sub-microsecond latency.
Answer: B. It allows the planner to skip (prune) entire partitions that do not match the query criteria.
If you partition by year and search for '2023', the database won't even touch the files for 2020-2022. This 'Pruning' is the main reason to use partitioning; it reduces a massive needle-in-haystack search into a targeted local scan.
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