| 15 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00061463175 |
| 315 |
Order Preserving Encryption for Numeric Data |
2004 |
SIGMOD |
0.00021247386 |
| 381 |
Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors |
2009 |
VLDB |
0.00019497061 |
| 397 |
Worst-case Optimal Join Algorithms |
2012 |
PODS |
0.0001911958 |
| 453 |
An End-to-End Learning-based Cost Estimator |
2020 |
VLDB |
0.0001801482 |
| 568 |
Towards a Robust Query Optimizer: A Principled and Practical Approach |
2005 |
SIGMOD |
0.00016221103 |
| 711 |
On Synopses for Distinct-Value Estimation Under Multiset Operations |
2007 |
SIGMOD |
0.00014589586 |
| 890 |
Pay-as-you-go User Feedback for Dataspace Systems |
2008 |
SIGMOD |
0.00013212032 |
| 1,061 |
Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions |
2011 |
VLDB |
0.00012207625 |
| 1,117 |
Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia |
2013 |
VLDB |
0.00011928965 |
| 1,261 |
Sampling-Based Query Re-Optimization |
2016 |
SIGMOD |
0.00011289724 |
| 1,511 |
Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation |
2015 |
SIGMOD |
0.00010408003 |
| 1,539 |
Top-k Query Evaluation with Probabilistic Guarantees |
2004 |
VLDB |
0.00010292787 |
| 1,583 |
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries |
2020 |
SIGMOD |
0.00010148362 |
| 1,901 |
Generating Targeted Queries for Database Testing |
2008 |
SIGMOD |
9.3902763e-05 |
| 2,019 |
IO-Top-k: Index-access Optimized Top-k Query Processing |
2006 |
VLDB |
9.1666472e-05 |
| 2,168 |
Brighthouse: An Analytic Data Warehouse for Ad-hoc Queries |
2008 |
VLDB |
8.9159881e-05 |
| 2,305 |
GORDIAN: Efficient and Scalable Discovery of Composite Keys |
2006 |
VLDB |
8.6550507e-05 |
| 2,523 |
Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation |
2022 |
VLDB |
8.3316032e-05 |
| 2,739 |
Weighted Hypertree Decompositions and Optimal Query Plans |
2004 |
PODS |
8.0598805e-05 |
| 2,792 |
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views |
2022 |
SIGMOD |
7.9895218e-05 |
| 2,852 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
7.9201312e-05 |
| 2,888 |
Query Optimizers: Time to Rethink the Contract? |
2009 |
SIGMOD |
7.8895201e-05 |
| 3,093 |
Correlation Sketches for Approximate Join-Correlation Queries |
2021 |
SIGMOD |
7.6378811e-05 |
| 3,361 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
7.3621595e-05 |
| 3,555 |
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning |
2021 |
VLDB |
7.1877332e-05 |
| 4,480 |
DigitHist: a Histogram-Based Data Summary with Tight Error Bounds |
2017 |
VLDB |
6.566036e-05 |
| 5,591 |
Bloom Histogram: Path Selectivity Estimation for XML Data with Updates |
2004 |
VLDB |
6.0553413e-05 |
| 5,815 |
Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA |
2014 |
SIGMOD |
5.9683874e-05 |
| 5,837 |
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation |
2022 |
VLDB |
5.9600736e-05 |
| 5,986 |
Understanding Cardinality Estimation using Entropy Maximization |
2010 |
PODS |
5.9085861e-05 |
| 6,502 |
Approximate Summaries for Why and Why-not Provenance |
2020 |
VLDB |
5.7468661e-05 |
| 6,653 |
Approximating and Testing k-Histogram Distributions in Sub-linear Time |
2012 |
PODS |
5.7044094e-05 |
| 6,906 |
LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries |
2024 |
SIGMOD |
5.634971e-05 |
| 7,537 |
Computing A Well-Representative Summary of Conjunctive Query Results |
2024 |
PODS |
5.4841462e-05 |
| 8,205 |
Probabilistic Histograms for Probabilistic Data |
2009 |
VLDB |
5.3616572e-05 |
| 8,295 |
NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews |
2021 |
VLDB |
5.344057e-05 |
| 8,297 |
Consistent and Flexible Selectivity Estimation for High-Dimensional Data |
2021 |
SIGMOD |
5.3438874e-05 |
| 8,600 |
Histograms as a Side Effect of Data Movement for Big Data |
2014 |
SIGMOD |
5.2913419e-05 |
| 9,141 |
Presto’s History-based Query Optimizer |
2024 |
VLDB |
5.2078543e-05 |
| 9,422 |
Optimality and Scalability in Lattice Histogram Construction |
2009 |
VLDB |
5.1672232e-05 |
| 9,603 |
Determining Exact Quantiles with Randomized Summaries |
2024 |
SIGMOD |
5.1376962e-05 |
| 9,667 |
Small Selectivities Matter: Lifting the Burden of Empty Samples |
2021 |
SIGMOD |
5.1278365e-05 |
| 9,952 |
Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects |
2025 |
VLDB |
5.0910746e-05 |
| 10,249 |
Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections |
2022 |
VLDB |
5.0412674e-05 |
| 10,392 |
E-LQO: A Comprehensive Energy Evaluation Framework for Learned Query Optimization |
2027 |
SIGMOD |
4.9605343e-05 |
| 10,979 |
Incremental Query Optimizer Statistics in Amazon Redshift |
2026 |
VLDB |
4.9605343e-05 |
| 11,321 |
ACE: A Cardinality Estimator for Set-Valued Queries |
2025 |
VLDB |
4.9605343e-05 |
| 11,353 |
Cardinality Estimation for Having-Clauses |
2025 |
VLDB |
4.9605343e-05 |
| 12,368 |
Are Few Bins Enough: Testing Histogram Distributions |
2016 |
PODS |
4.9605343e-05 |