Provenance-based Data Skipping
Summary: Proposes provenance-based data skipping (PBDS) that builds compact provenance sketches encoding data relevance for a query, e.g., HAVING and top-k. These sketches speed up subsequent queries and can leverage physical design artifacts like indexes and zone maps. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xing Niu (Illinois Institute of Technology)
- 2. Boris Glavic (Illinois Institute of Technology)
- 3. Ziyu Liu (Illinois Institute of Technology)
- 4. Pengyuan Li (Illinois Institute of Technology)
- 5. Dieter Gawlick (Oracle)
- 6. Vasudha Krishnaswamy (Oracle)
- 7. Zhen Hua Liu (Oracle)
- 8. Danica Porobic (Oracle)
BibTeX Citation
@article{niu_vldb22,
title = {{Provenance-based Data Skipping}},
author = {Niu, Xing and Glavic, Boris and Liu, Ziyu and Li, Pengyuan and Gawlick, Dieter and Krishnaswamy, Vasudha and Liu, Zhen Hua and Porobic, Danica},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {3},
pages = {451--464},
doi = {10.14778/3494124.3494130},
url = {https://doi.org/10.14778/3494124.3494130},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,660 | Pruning in Snowflake: Working Smarter, Not Harder | 2025 | SIGMOD | 5.5736132e-05 |
| 11,109 | FaDE: More Than a Million What-ifs Per Second | 2025 | VLDB | 5.093636e-05 |
| 11,118 | Towards an Objective Metric for Data Value Through Relevance | 2024 | CIDR | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 37 of 37 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 1 | 9,241 | Provenance for SQL through Abstract Interpretation: Value-less, but Worthwhile | 2015 | VLDB |
| 2 | 10,818 | Evaluating Continuous Queries with Inconsistency Annotations | 2025 | VLDB |
| 3 | 12,191 | A Partitioning Framework for Aggressive Data Skipping | 2014 | VLDB |
| 4 | 6,653 | Adaptive Data Skipping in Main-Memory Systems | 2016 | SIGMOD |
| 5 | 8,950 | OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs | 2023 | VLDB |
| 6 | 8,509 | Hypothetical Reasoning via Provenance Abstraction | 2019 | SIGMOD |
| 7 | 6,358 | On Provenance Minimization | 2011 | PODS |
| 8 | 6,042 | Pando: Enhanced Data Skipping with Logical Data Partitioning | 2023 | VLDB |
| 9 | 1,912 | Querying Data Provenance | 2010 | SIGMOD |
| 10 | 3,137 | Pushing Data-Induced Predicates Through Joins in Big-Data Clusters | 2020 | VLDB |