Table partitioning divides large tables into smaller, manageable pieces. Range partitioning (by date), hash partitioning (even distribution), and list partitioning (by category) serve different use cases. Partition pruning speeds queries. Related to sharding (cross-node) but works within a single database instance.
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Before this, understand: postgresql
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