The Case for Deep Query Optimisation
Summary: Proposes Deep Query Optimisation (DQO): decompose physical operators into fine-grained subcomponents to enumerate sub-plans offline/at query time, enabling deeper plan search than shallow QO. Defines MAVs and the Algorithmic View Selection Problem (AVSP), evaluates DQO on hash-based grouping, and sketches a research agenda. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jens Dittrich (Saarland University)
- 2. Joris Nix (Saarland University)
BibTeX Citation
@inproceedings{dittrich_cidr20,
address = {Amsterdam, Netherlands},
series = {{CIDR} '20},
title = {{The Case for Deep Query Optimisation}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Dittrich, Jens and Nix, Joris},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,253 | Declarative Sub-Operators for Universal Data Processing | 2023 | VLDB | 5.940599e-05 |
| 6,263 | Database Technology for the Masses: Sub-Operators as First-Class Entities | 2021 | VLDB | 5.936052e-05 |
| 6,538 | UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads | 2022 | VLDB | 5.8477764e-05 |
| 7,768 | The next 50 Years in Database Indexing or: The Case for Automatically Generated Index Structures | 2022 | VLDB | 5.5475685e-05 |
| 7,774 | Building Advanced SQL Analytics From Low-Level Plan Operators | 2021 | SIGMOD | 5.5468469e-05 |
| 7,899 | Modularis: Modular Relational Analytics over Heterogeneous Distributed Platforms | 2021 | VLDB | 5.5195553e-05 |
| 8,053 | Maximus: A Modular Accelerated Query Engine for Data Analytics on Heterogeneous Systems | 2025 | SIGMOD | 5.4990605e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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