Applying Hash Filters to Improving the Execution of Bushy Trees
Summary: Interleaves hash filters with bushy-tree multi-join execution to reduce intermediate results. Derives a join-order-driven filter sequence that balances pruning effectiveness and construction/application cost, with simulations showing increasing gains as query width grows. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ming-Syan Chen (IBM)
- 2. Hui-I Hsiao (IBM)
- 3. Philip S. Yu (IBM)
BibTeX Citation
@article{chen_vldb93,
title = {{Applying Hash Filters to Improving the Execution of Bushy Trees}},
author = {Chen, Ming-Syan and Hsiao, Hui-I and Yu, Philip S.},
journal = {PVLDB},
series = {{VLDB} '93},
pages = {505},
year = {1993}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,652 | On Parallel Execution Of Multiple Pipelined Hash Joins | 1994 | SIGMOD | 6.5851924e-05 |
| 4,849 | Bitvector-aware Query Optimization for Decision Support Queries | 2020 | SIGMOD | 6.4803828e-05 |
| 5,284 | SQLite: Past, Present, and Future | 2022 | VLDB | 6.2827906e-05 |
| 8,074 | Parachute: Single-Pass Bi-Directional Information Passing | 2025 | VLDB | 5.4929961e-05 |
| 8,439 | New Query Optimization Techniques in the Spark Engine of Azure Synapse | 2022 | VLDB | 5.4248071e-05 |
| 9,279 | Including Bloom Filters in Bottom-up Optimization | 2025 | SIGMOD | 5.2934632e-05 |
| 10,985 | Scaling GPU-Accelerated Databases beyond GPU Memory Size | 2025 | VLDB | 5.093636e-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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