| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059038975 |
| 324 |
Order Preserving Encryption for Numeric Data |
2004 |
SIGMOD |
0.00027444645 |
| 502 |
Worst-case Optimal Join Algorithms |
2012 |
PODS |
0.00021526612 |
| 629 |
Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors |
2009 |
VLDB |
0.00018942366 |
| 684 |
Towards a Robust Query Optimizer: A Principled and Practical Approach |
2005 |
SIGMOD |
0.00018179769 |
| 692 |
Pay-as-you-go User Feedback for Dataspace Systems |
2008 |
SIGMOD |
0.00018083948 |
| 727 |
On Synopses for Distinct-Value Estimation Under Multiset Operations |
2007 |
SIGMOD |
0.00017508726 |
| 806 |
An End-to-End Learning-based Cost Estimator |
2020 |
VLDB |
0.00016434274 |
| 1,038 |
Weighted Hypertree Decompositions and Optimal Query Plans |
2004 |
PODS |
0.00014492414 |
| 1,471 |
Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia |
2013 |
VLDB |
0.00011830111 |
| 1,547 |
Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions |
2011 |
VLDB |
0.00011442359 |
| 1,758 |
Sampling-Based Query Re-Optimization |
2016 |
SIGMOD |
0.00010655546 |
| 1,808 |
Top-k Query Evaluation with Probabilistic Guarantees |
2004 |
VLDB |
0.00010486213 |
| 2,009 |
IO-Top-k: Index-access Optimized Top-k Query Processing |
2006 |
VLDB |
9.7977564e-05 |
| 2,165 |
Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation |
2015 |
SIGMOD |
9.389622e-05 |
| 2,277 |
Generating Targeted Queries for Database Testing |
2008 |
SIGMOD |
9.1241198e-05 |
| 2,364 |
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries |
2020 |
SIGMOD |
8.9554751e-05 |
| 2,444 |
Brighthouse: An Analytic Data Warehouse for Ad-hoc Queries |
2008 |
VLDB |
8.8076551e-05 |
| 2,549 |
GORDIAN: Efficient and Scalable Discovery of Composite Keys |
2006 |
VLDB |
8.5641554e-05 |
| 3,408 |
Query Optimizers: Time to Rethink the Contract? |
2009 |
SIGMOD |
7.1288167e-05 |
| 3,449 |
Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation |
2022 |
VLDB |
7.0824319e-05 |
| 3,606 |
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views |
2022 |
SIGMOD |
6.9260354e-05 |
| 3,824 |
Correlation Sketches for Approximate Join-Correlation Queries |
2021 |
SIGMOD |
6.7260705e-05 |
| 3,952 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
6.5939652e-05 |
| 3,990 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
6.5581983e-05 |
| 4,359 |
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning |
2021 |
VLDB |
6.2569955e-05 |
| 4,831 |
DigitHist: a Histogram-Based Data Summary with Tight Error Bounds |
2017 |
VLDB |
5.8924198e-05 |
| 5,632 |
Bloom Histogram: Path Selectivity Estimation for XML Data with Updates |
2004 |
VLDB |
5.4014372e-05 |
| 5,905 |
Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA |
2014 |
SIGMOD |
5.2788785e-05 |
| 5,977 |
Understanding Cardinality Estimation using Entropy Maximization |
2010 |
PODS |
5.2455909e-05 |
| 6,368 |
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation |
2022 |
VLDB |
5.0937722e-05 |
| 6,637 |
Approximating and Testing k-Histogram Distributions in Sub-linear Time |
2012 |
PODS |
4.9816401e-05 |
| 6,696 |
Approximate Summaries for Why and Why-not Provenance |
2020 |
VLDB |
4.9581958e-05 |
| 7,186 |
LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries |
2024 |
SIGMOD |
4.8063731e-05 |
| 8,090 |
Probabilistic Histograms for Probabilistic Data |
2009 |
VLDB |
4.5888589e-05 |
| 8,174 |
NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews |
2021 |
VLDB |
4.568186e-05 |
| 8,384 |
Consistent and Flexible Selectivity Estimation for High-Dimensional Data |
2021 |
SIGMOD |
4.5304673e-05 |
| 8,443 |
Histograms as a Side Effect of Data Movement for Big Data |
2014 |
SIGMOD |
4.5119257e-05 |
| 9,061 |
Optimality and Scalability in Lattice Histogram Construction |
2009 |
VLDB |
4.4039656e-05 |
| 9,237 |
Determining Exact Quantiles with Randomized Summaries |
2024 |
SIGMOD |
4.3690661e-05 |
| 9,380 |
Small Selectivities Matter: Lifting the Burden of Empty Samples |
2021 |
SIGMOD |
4.3461329e-05 |
| 9,869 |
Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections |
2022 |
VLDB |
4.2675361e-05 |
| 10,590 |
ACE: A Cardinality Estimator for Set-Valued Queries |
2025 |
VLDB |
4.1945683e-05 |
| 10,639 |
Cardinality Estimation for Having-Clauses |
2025 |
VLDB |
4.1945683e-05 |
| 10,833 |
Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects |
2025 |
VLDB |
4.1945683e-05 |
| 10,927 |
Computing A Well-Representative Summary of Conjunctive Query Results |
2024 |
PODS |
4.1945683e-05 |
| 11,084 |
Presto’s History-based Query Optimizer |
2024 |
VLDB |
4.1945683e-05 |
| 11,821 |
Are Few Bins Enough: Testing Histogram Distributions |
2016 |
PODS |
4.1945683e-05 |
| 12,060 |
Statistics Collection in Oracle Spatial and Graph: Fast Histogram Construction for Complex Geometry Objects |
2013 |
VLDB |
4.1945683e-05 |
| 12,308 |
Filtered Statistics |
2009 |
SIGMOD |
4.1945683e-05 |