Why Database Partition Pruning Cuts Query Time Dramatically

Partition pruning is one of the most effective yet underappreciated optimizations in modern databases. In this episode, Lucas and Luna explore how PostgreSQL and BigQuery use partition pruning to reduce a full-table scan of a year's data down to just a single month. They walk through real-world numbers: a 12x reduction in data scanned, and a query that drops from 45 seconds to under 4. Along the way, they discuss how to design partition keys, what happens when pruning fails, and why even cloud data warehouses rely on this technique to keep costs low. A must-listen for anyone running analytical queries on large partitioned tables.

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