| 15 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00061067652 |
| 311 |
Order Preserving Encryption for Numeric Data |
2004 |
SIGMOD |
0.00021317851 |
| 386 |
Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors |
2009 |
VLDB |
0.00019446558 |
| 402 |
Worst-case Optimal Join Algorithms |
2012 |
PODS |
0.00019095982 |
| 462 |
An End-to-End Learning-based Cost Estimator |
2020 |
VLDB |
0.00017836105 |
| 569 |
Towards a Robust Query Optimizer: A Principled and Practical Approach |
2005 |
SIGMOD |
0.00016244162 |
| 707 |
On Synopses for Distinct-Value Estimation Under Multiset Operations |
2007 |
SIGMOD |
0.00014633741 |
| 888 |
Pay-as-you-go User Feedback for Dataspace Systems |
2008 |
SIGMOD |
0.00013250185 |
| 1,058 |
Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions |
2011 |
VLDB |
0.00012224038 |
| 1,117 |
Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia |
2013 |
VLDB |
0.00011952597 |
| 1,258 |
Sampling-Based Query Re-Optimization |
2016 |
SIGMOD |
0.00011308863 |
| 1,509 |
Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation |
2015 |
SIGMOD |
0.00010436933 |
| 1,535 |
Top-k Query Evaluation with Probabilistic Guarantees |
2004 |
VLDB |
0.00010326646 |
| 1,580 |
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries |
2020 |
SIGMOD |
0.00010177136 |
| 1,893 |
Generating Targeted Queries for Database Testing |
2008 |
SIGMOD |
9.4149369e-05 |
| 2,008 |
IO-Top-k: Index-access Optimized Top-k Query Processing |
2006 |
VLDB |
9.1956849e-05 |
| 2,157 |
Brighthouse: An Analytic Data Warehouse for Ad-hoc Queries |
2008 |
VLDB |
8.9425625e-05 |
| 2,294 |
GORDIAN: Efficient and Scalable Discovery of Composite Keys |
2006 |
VLDB |
8.6831732e-05 |
| 2,518 |
Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation |
2022 |
VLDB |
8.3532841e-05 |
| 2,728 |
Weighted Hypertree Decompositions and Optimal Query Plans |
2004 |
PODS |
8.08577e-05 |
| 2,787 |
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views |
2022 |
SIGMOD |
8.0121053e-05 |
| 2,844 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
7.9446987e-05 |
| 2,890 |
Query Optimizers: Time to Rethink the Contract? |
2009 |
SIGMOD |
7.9010819e-05 |
| 3,092 |
Correlation Sketches for Approximate Join-Correlation Queries |
2021 |
SIGMOD |
7.6548729e-05 |
| 3,362 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
7.3719912e-05 |
| 3,563 |
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning |
2021 |
VLDB |
7.2023194e-05 |
| 4,463 |
DigitHist: a Histogram-Based Data Summary with Tight Error Bounds |
2017 |
VLDB |
6.5861255e-05 |
| 5,581 |
Bloom Histogram: Path Selectivity Estimation for XML Data with Updates |
2004 |
VLDB |
6.0741907e-05 |
| 5,816 |
Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA |
2014 |
SIGMOD |
5.9817821e-05 |
| 5,835 |
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation |
2022 |
VLDB |
5.9737602e-05 |
| 5,974 |
Understanding Cardinality Estimation using Entropy Maximization |
2010 |
PODS |
5.9279222e-05 |
| 6,488 |
Approximate Summaries for Why and Why-not Provenance |
2020 |
VLDB |
5.7659318e-05 |
| 6,643 |
Approximating and Testing k-Histogram Distributions in Sub-linear Time |
2012 |
PODS |
5.7233159e-05 |
| 6,889 |
LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries |
2024 |
SIGMOD |
5.6536655e-05 |
| 7,518 |
Computing A Well-Representative Summary of Conjunctive Query Results |
2024 |
PODS |
5.5023404e-05 |
| 8,193 |
Probabilistic Histograms for Probabilistic Data |
2009 |
VLDB |
5.3789502e-05 |
| 8,279 |
NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews |
2021 |
VLDB |
5.3617864e-05 |
| 8,282 |
Consistent and Flexible Selectivity Estimation for High-Dimensional Data |
2021 |
SIGMOD |
5.3616162e-05 |
| 8,583 |
Histograms as a Side Effect of Data Movement for Big Data |
2014 |
SIGMOD |
5.3086664e-05 |
| 9,122 |
Presto’s History-based Query Optimizer |
2024 |
VLDB |
5.2251319e-05 |
| 9,396 |
Optimality and Scalability in Lattice Histogram Construction |
2009 |
VLDB |
5.1843659e-05 |
| 9,578 |
Determining Exact Quantiles with Randomized Summaries |
2024 |
SIGMOD |
5.154741e-05 |
| 9,640 |
Small Selectivities Matter: Lifting the Burden of Empty Samples |
2021 |
SIGMOD |
5.1448486e-05 |
| 9,917 |
Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects |
2025 |
VLDB |
5.1079647e-05 |
| 10,212 |
Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections |
2022 |
VLDB |
5.0579923e-05 |
| 10,918 |
Incremental Query Optimizer Statistics in Amazon Redshift |
2026 |
VLDB |
4.9769913e-05 |
| 11,265 |
ACE: A Cardinality Estimator for Set-Valued Queries |
2025 |
VLDB |
4.9769913e-05 |
| 11,298 |
Cardinality Estimation for Having-Clauses |
2025 |
VLDB |
4.9769913e-05 |
| 12,325 |
Are Few Bins Enough: Testing Histogram Distributions |
2016 |
PODS |
4.9769913e-05 |
| 12,555 |
Statistics Collection in Oracle Spatial and Graph: Fast Histogram Construction for Complex Geometry Objects |
2013 |
VLDB |
4.9769913e-05 |