Optimizing Snowflake Queries with JoinFilters — CarMax Amanveer Kundu, Rich Jeantheau, and Vasudevan Seshadri Abstract The Snowflake database system includes powerful features for optimizing the …

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Explores how Snowflake's JoinFilter operator optimizes query performance through dynamic partition pruning, but may be absent in certain scenarios involving views. Presents a practical optimization technique that restructures queries to encourage JoinFilter application, demonstrating a real-world case where this approach reduced execution time by 50% (from 45 to 23 minutes). Includes detailed query plan analysis, explains the difference between static and dynamic pruning, and provides step-by-step guidance for identifying missing JoinFilters and implementing the optimization strategy.