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EPISODE · Jul 27, 2026 · 9 MIN

Why Database Partition Pruning Cuts Query Time Dramatically

from Database Tech with Fexingo: SQL, NoSQL, and Data Storage Conversations · host Fexingo

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. #Database #PartitionPruning #QueryOptimization #PostgreSQL #BigQuery #DataEngineering #SQL #Performance #Analytics #Tech #FexingoBusiness #BusinessPodcast #DatabaseTips #DataWarehouse #CloudComputing #CostOptimization #LucasAndLuna #DatabaseTech Keep every episode free: buymeacoffee.com/fexingo

Episode metadata supplied by the publisher feed · Published Jul 27, 2026

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Why Database Partition Pruning Cuts Query Time Dramatically

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This episode was published on July 27, 2026.

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