Robust Query Processing: Mission Possible
Summary: Tutorial on robust query processing with strong performance guarantees. Surveys cross-layer architectural and algorithmic advances; contrasts strengths/limitations and lists open problems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jayant R. Haritsa (Indian Institute of Science)
BibTeX Citation
@article{haritsa_vldb20,
title = {{Robust Query Processing: Mission Possible}},
author = {Haritsa, Jayant R.},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {3425--3428},
doi = {10.14778/3415478.3415561},
url = {https://doi.org/10.14778/3415478.3415561},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,529 | Debunking the Myth of Join Ordering: Toward Robust SQL Analytics | 2025 | SIGMOD | 6.18591e-05 |
| 8,305 | PARQO: Penalty-Aware Robust Plan Selection in Query Optimization | 2024 | VLDB | 5.4568571e-05 |
| 8,410 | Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems | 2022 | VLDB | 5.4309397e-05 |
| 8,494 | POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance | 2024 | VLDB | 5.4142129e-05 |
| 9,626 | Spatial Query Optimization With Learning | 2024 | VLDB | 5.2434488e-05 |
| 10,881 | Robust Plan Evaluation based on Approximate Probabilistic Machine Learning | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 27 of 27 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 5 | 2,713 | Robust Query Processing in Co-Processor-accelerated Databases | 2016 | SIGMOD |
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| 7 | 6,387 | Modern Techniques for Querying Graph-Structured Relations: Foundations, System Implementations, and Open Challenges | 2022 | VLDB |
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| 9 | 6,019 | Robustness Metrics for Relational Query Execution Plans | 2018 | VLDB |
| 10 | 12,486 | Visualizing the robustness of query execution | 2009 | CIDR |