Applying Hash Filters To Improving The Execution Of Bushy Trees
Summary: Interleaves hash filters with bushy tree execution to speed up multi-join queries. A cost-aware scheme builds and applies filters along the bushy join order, optimizing reduction and minimizing overhead; simulations show notable gains, increasing with query width. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ming-Syan Chen
- 2. Hui-I Hsiao
- 3. Philip S. Yu
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,781 | On Parallel Execution Of Multiple Pipelined Hash Joins | 1994 | SIGMOD | 5.9261504e-05 |
| 5,194 | Bitvector-aware Query Optimization for Decision Support Queries | 2020 | SIGMOD | 5.6368209e-05 |
| 6,192 | SQLite: Past, Present, and Future | 2022 | VLDB | 5.1641743e-05 |
| 8,506 | New Query Optimization Techniques in the Spark Engine of Azure Synapse | 2022 | VLDB | 4.4957661e-05 |
| 8,718 | Parachute: Single-Pass Bi-Directional Information Passing | 2025 | VLDB | 4.4612599e-05 |
| 9,189 | Including Bloom Filters in Bottom-up Optimization | 2025 | SIGMOD | 4.3769978e-05 |
| 10,749 | Scaling GPU-Accelerated Databases beyond GPU Memory Size | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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