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Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors

Summary: Defines q-error for cardinality estimates and bounds that yield an optimal plan when q-error is small. Shows plan cost within q^4 of optimal under bounded q-error and gives methods to compute best q-error approximations and size-estimate synopses, with experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h4824d9d202cc295b
Venue
VLDB
Year
2009
Pagerank
0.00019444411
Overall Rank
386 | 97.41%
DOI
10.14778/1687627.1687738

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{moerkotte_vldb09,
        title = {{Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors}},
        author = {Moerkotte, Guido and Neumann, Thomas and Steidl, Gabriele},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687738},
        url = {https://doi.org/10.14778/1687627.1687738},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 79 citing papers.

Rank Citing Paper Year Venue Pagerank
15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061066921
85 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035864347
145 Neo: A Learned Query Optimizer 2019 VLDB 0.0002908188
560 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00016403151
692 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014741011
982 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.00012714044
1,060 Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions 2011 VLDB 0.00012224575
1,064 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012202282
1,465 Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities 2019 SIGMOD 0.00010576304
1,508 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 0.00010440205
1,515 DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems 2021 VLDB 0.00010417728
1,542 Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses 2018 VLDB 0.00010308631
1,734 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.7545773e-05
1,839 Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet 2024 VLDB 9.5304799e-05
1,987 Plan Bouquets: Query Processing without Selectivity Estimation 2014 SIGMOD 9.250242e-05
2,210 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 8.8257742e-05
2,216 Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models 2017 VLDB 8.8177753e-05
2,250 QueryFormer: A Tree Transformer Model for Query Plan Representation 2022 VLDB 8.7533306e-05
2,522 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 8.3477168e-05
2,634 Neural Subgraph Counting with Wasserstein Estimator 2022 SIGMOD 8.1993804e-05
2,824 G-CARE: A Framework for Performance Benchmarking of Cardinality Estimation Techniques for Subgraph Matching 2020 SIGMOD 7.9698957e-05
3,052 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 7.7052471e-05
3,210 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 7.5363533e-05
3,271 Estimating Cardinalities with Deep Sketches 2019 SIGMOD 7.4744941e-05
3,327 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 7.4207879e-05
3,874 Accelerating Approximate Aggregation Queries with Expensive Predicates 2021 VLDB 6.953738e-05
3,982 Simplicity Done Right for Join Ordering 2021 CIDR 6.8750228e-05
4,132 SQLStorm: Taking Database Benchmarking into the LLM Era 2025 VLDB 6.7885553e-05
4,234 Adaptive Statistics in Oracle 12c 2017 VLDB 6.7134191e-05
4,258 LEON: A New Framework for ML-Aided Query Optimization 2023 VLDB 6.6994722e-05
4,311 ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads 2024 VLDB 6.6727978e-05
4,688 Learned Cardinality Estimation for Similarity Queries 2021 SIGMOD 6.4697463e-05
4,713 Scalable Reservoir Sampling on Many-Core CPUs 2019 SIGMOD 6.4564798e-05
5,022 Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server 2023 VLDB 6.3100988e-05
5,199 Exact Cardinality Query Optimization with Bounded Execution Cost 2019 SIGMOD 6.2327836e-05
5,209 SAM: Database Generation from Query Workloads with Supervised Autoregressive Models 2022 SIGMOD 6.2262056e-05
5,214 Stage: Query Execution Time Prediction in Amazon Redshift 2024 SIGMOD 6.2248104e-05
5,422 Cardinality Estimation of Subgraph Matching: A Filtering-Sampling Approach 2024 VLDB 6.1361195e-05
5,649 Sample-Efficient Cardinality Estimation Using Geometric Deep Learning 2024 VLDB 6.052326e-05
5,815 Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA 2014 SIGMOD 5.9844993e-05
5,901 Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation 2021 SIGMOD 5.9539374e-05
6,106 Optimization of Conjunctive Predicates for Main Memory Column Stores 2016 VLDB 5.8859291e-05
6,113 Robustness Metrics for Relational Query Execution Plans 2018 VLDB 5.8823242e-05
6,884 LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries 2024 SIGMOD 5.6563432e-05
7,332 Selectivity Functions of Range Queries are Learnable* 2022 SIGMOD 5.5499953e-05
7,410 POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance 2024 VLDB 5.5342768e-05
7,460 T3: Accurate and Fast Performance Prediction for Relational Database Systems With Compiled Decision Trees 2025 SIGMOD 5.5215755e-05
7,566 Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries 2024 SIGMOD 5.4952834e-05
7,907 A Practical Approach to Groupjoin and Nested Aggregates 2021 VLDB 5.4287568e-05
7,954 Robust Query Processing: Mission Possible 2020 VLDB 5.4190023e-05
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