Pushing Data-Induced Predicates Through Joins in Big-Data Clusters
Summary: Data-induced predicates (diPs) translate table predicates into joining-table predicates via data statistics to extend predicate pushdown across joins. Zone-maps with a slightly larger statistic enable plan-time data skipping, with ~50% of queries skipping ≥33% of input and median query time ~2× faster on TPC-H, TPC-DS, and JoinOrder. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Srikanth Kandula
- 2. Laurel Orr
- 3. Surajit Chaudhuri
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