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How should you design table partitioning for large datasets?

Senior PostgreSQL
Quick Answer Table partitioning for large datasets: use declarative partitioning (PostgreSQL 10+). Partition by range (date/timestamp for time-series), list (region, status), or hash (for even distribution). Partition pruning automatically skips irrelevant partitions. Attach older partitions to cheaper tablespaces. Detach and archive old partitions without locking. Each partition is its own physical table with independent indexes.

Answer

Partition keys should have high cardinality. Range and hash partitioning distribute data and enable pruning for faster queries.
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