| 15 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00061066921 |
| 311 |
Order Preserving Encryption for Numeric Data |
2004 |
SIGMOD |
0.00021327947 |
| 386 |
Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors |
2009 |
VLDB |
0.00019444411 |
| 402 |
Worst-case Optimal Join Algorithms |
2012 |
PODS |
0.00019104625 |
| 461 |
An End-to-End Learning-based Cost Estimator |
2020 |
VLDB |
0.00017829982 |
| 569 |
Towards a Robust Query Optimizer: A Principled and Practical Approach |
2005 |
SIGMOD |
0.00016245271 |
| 707 |
On Synopses for Distinct-Value Estimation Under Multiset Operations |
2007 |
SIGMOD |
0.00014640173 |
| 888 |
Pay-as-you-go User Feedback for Dataspace Systems |
2008 |
SIGMOD |
0.00013255989 |
| 1,060 |
Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions |
2011 |
VLDB |
0.00012224575 |
| 1,117 |
Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia |
2013 |
VLDB |
0.00011953704 |
| 1,257 |
Sampling-Based Query Re-Optimization |
2016 |
SIGMOD |
0.00011310561 |
| 1,508 |
Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation |
2015 |
SIGMOD |
0.00010440205 |
| 1,535 |
Top-k Query Evaluation with Probabilistic Guarantees |
2004 |
VLDB |
0.00010331242 |
| 1,580 |
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries |
2020 |
SIGMOD |
0.00010180835 |
| 1,890 |
Generating Targeted Queries for Database Testing |
2008 |
SIGMOD |
9.4193315e-05 |
| 2,006 |
IO-Top-k: Index-access Optimized Top-k Query Processing |
2006 |
VLDB |
9.199795e-05 |
| 2,155 |
Brighthouse: An Analytic Data Warehouse for Ad-hoc Queries |
2008 |
VLDB |
8.9456729e-05 |
| 2,291 |
GORDIAN: Efficient and Scalable Discovery of Composite Keys |
2006 |
VLDB |
8.6872323e-05 |
| 2,522 |
Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation |
2022 |
VLDB |
8.3477168e-05 |
| 2,728 |
Weighted Hypertree Decompositions and Optimal Query Plans |
2004 |
PODS |
8.0895728e-05 |
| 2,787 |
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views |
2022 |
SIGMOD |
8.0158999e-05 |
| 2,846 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
7.9453616e-05 |
| 2,891 |
Query Optimizers: Time to Rethink the Contract? |
2009 |
SIGMOD |
7.9021718e-05 |
| 3,090 |
Correlation Sketches for Approximate Join-Correlation Queries |
2021 |
SIGMOD |
7.6584982e-05 |
| 3,367 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
7.3719456e-05 |
| 3,562 |
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning |
2021 |
VLDB |
7.2046519e-05 |
| 4,462 |
DigitHist: a Histogram-Based Data Summary with Tight Error Bounds |
2017 |
VLDB |
6.5880099e-05 |
| 5,580 |
Bloom Histogram: Path Selectivity Estimation for XML Data with Updates |
2004 |
VLDB |
6.0769576e-05 |
| 5,815 |
Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA |
2014 |
SIGMOD |
5.9844993e-05 |
| 5,840 |
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation |
2022 |
VLDB |
5.9737703e-05 |
| 5,973 |
Understanding Cardinality Estimation using Entropy Maximization |
2010 |
PODS |
5.9306716e-05 |
| 6,486 |
Approximate Summaries for Why and Why-not Provenance |
2020 |
VLDB |
5.7686627e-05 |
| 6,639 |
Approximating and Testing k-Histogram Distributions in Sub-linear Time |
2012 |
PODS |
5.7259633e-05 |
| 6,884 |
LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries |
2024 |
SIGMOD |
5.6563432e-05 |
| 7,513 |
Computing A Well-Representative Summary of Conjunctive Query Results |
2024 |
PODS |
5.5049463e-05 |
| 8,206 |
Probabilistic Histograms for Probabilistic Data |
2009 |
VLDB |
5.3778354e-05 |
| 8,272 |
NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews |
2021 |
VLDB |
5.3643259e-05 |
| 8,276 |
Consistent and Flexible Selectivity Estimation for High-Dimensional Data |
2021 |
SIGMOD |
5.3641556e-05 |
| 8,576 |
Histograms as a Side Effect of Data Movement for Big Data |
2014 |
SIGMOD |
5.3111243e-05 |
| 9,113 |
Presto’s History-based Query Optimizer |
2024 |
VLDB |
5.2276066e-05 |
| 9,387 |
Optimality and Scalability in Lattice Histogram Construction |
2009 |
VLDB |
5.1868213e-05 |
| 9,570 |
Determining Exact Quantiles with Randomized Summaries |
2024 |
SIGMOD |
5.1571823e-05 |
| 9,632 |
Small Selectivities Matter: Lifting the Burden of Empty Samples |
2021 |
SIGMOD |
5.1472849e-05 |
| 9,910 |
Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects |
2025 |
VLDB |
5.1103839e-05 |
| 10,205 |
Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections |
2022 |
VLDB |
5.0603873e-05 |
| 10,909 |
Incremental Query Optimizer Statistics in Amazon Redshift |
2026 |
VLDB |
4.9793485e-05 |
| 11,257 |
ACE: A Cardinality Estimator for Set-Valued Queries |
2025 |
VLDB |
4.9793485e-05 |
| 11,290 |
Cardinality Estimation for Having-Clauses |
2025 |
VLDB |
4.9793485e-05 |
| 12,319 |
Are Few Bins Enough: Testing Histogram Distributions |
2016 |
PODS |
4.9793485e-05 |
| 12,549 |
Statistics Collection in Oracle Spatial and Graph: Fast Histogram Construction for Complex Geometry Objects |
2013 |
VLDB |
4.9793485e-05 |