DBScholar

Back to papers

Plan Bouquets: Query Processing without Selectivity Estimation

Summary: Plan Bouquets replace selectivity estimation with a compact bouquet covering the error space. Runtime discerns selectivities via bouquet runs, with bounded overhead and guaranteed worst-case performance; compatible with existing optimizers. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h39f86a061dec1215
Venue
SIGMOD
Year
2014
Pagerank
9.2469024e-05
Overall Rank
1,989 | 86.64%
DOI
10.1145/2558555.2558566

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{dutt_sigmod14,
        title = {{Plan Bouquets: Query Processing without Selectivity Estimation}},
        author = {Dutt, Anshuman and Haritsa, Jayant R.},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2558555.2558566},
        url = {https://dl.acm.org/doi/10.1145/2558555.2558566},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 24 of 24 citing papers.

Rank Citing Paper Year Venue Pagerank
15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061067652
688 Cardinality Estimation Done Right: Index-Based Join Sampling 2017 CIDR 0.00014749318
1,258 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00011308863
1,605 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 0.00010095581
1,800 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2018 VLDB 9.6082185e-05
4,796 Permutable Compiled Queries: Dynamically Adapting Compiled Queries without Recompiling 2021 VLDB 6.409726e-05
5,200 Exact Cardinality Query Optimization with Bounded Execution Cost 2019 SIGMOD 6.2303304e-05
5,663 Enabling Incremental Query Re-Optimization 2016 SIGMOD 6.0448133e-05
6,114 Robustness Metrics for Relational Query Execution Plans 2018 VLDB 5.8796178e-05
6,396 QUEST: An Exploratory Approach to Robust Query Processing 2014 VLDB 5.7975971e-05
6,444 Grizzly: Efficient Stream Processing Through Adaptive Query Compilation 2020 SIGMOD 5.7807677e-05
6,664 Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation 2023 SIGMOD 5.715134e-05
7,413 POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance 2024 VLDB 5.5316834e-05
7,492 Non-Invasive Progressive Optimization for In-Memory Databases 2016 VLDB 5.5094171e-05
8,165 A Concave Path to Low-overhead Robust Query Processing 2018 VLDB 5.3847569e-05
8,348 MONSOON: Multi-Step Optimization and Execution of Queries with Partially Obscured Predicates 2020 SIGMOD 5.3486679e-05
8,393 PARQO: Penalty-Aware Robust Plan Selection in Query Optimization 2024 VLDB 5.3387995e-05
8,531 ROME: Robust Query Optimization via Parallel Multi-Plan Execution 2024 SIGMOD 5.3206021e-05
8,681 Adaptive Code Generation for Data-Intensive Analytics 2021 VLDB 5.288863e-05
9,310 Rethink Query Optimization in HTAP Databases 2023 SIGMOD 5.1963298e-05
9,735 PAR2QO: Parametric Penalty-Aware Robust Query Optimization 2025 VLDB 5.1325223e-05
10,380 Coresets for Robust Query Optimization 2026 PODS 4.9769913e-05
10,690 Reqo: A Comprehensive Learning-Based Cost Model for Robust and Explainable Query Optimization 2026 SIGMOD 4.9769913e-05
13,909 CODD: A Dataless Approach to Big Data Testing 2015 VLDB -
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers