| 18 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059284255 |
| 310 |
Order Preserving Encryption for Numeric Data |
2004 |
SIGMOD |
0.00021766789 |
| 388 |
Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors |
2009 |
VLDB |
0.00019410042 |
| 411 |
Worst-case Optimal Join Algorithms |
2012 |
PODS |
0.00018902089 |
| 465 |
An End-to-End Learning-based Cost Estimator |
2020 |
VLDB |
0.0001803934 |
| 566 |
Towards a Robust Query Optimizer: A Principled and Practical Approach |
2005 |
SIGMOD |
0.00016436005 |
| 689 |
On Synopses for Distinct-Value Estimation Under Multiset Operations |
2007 |
SIGMOD |
0.00014940023 |
| 866 |
Pay-as-you-go User Feedback for Dataspace Systems |
2008 |
SIGMOD |
0.00013519288 |
| 1,071 |
Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions |
2011 |
VLDB |
0.00012322342 |
| 1,126 |
Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia |
2013 |
VLDB |
0.00012078607 |
| 1,256 |
Sampling-Based Query Re-Optimization |
2016 |
SIGMOD |
0.00011457194 |
| 1,503 |
Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation |
2015 |
SIGMOD |
0.000105564 |
| 1,519 |
Top-k Query Evaluation with Probabilistic Guarantees |
2004 |
VLDB |
0.00010513777 |
| 1,573 |
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries |
2020 |
SIGMOD |
0.00010328171 |
| 1,967 |
IO-Top-k: Index-access Optimized Top-k Query Processing |
2006 |
VLDB |
9.3804693e-05 |
| 2,069 |
Generating Targeted Queries for Database Testing |
2008 |
SIGMOD |
9.2293717e-05 |
| 2,150 |
Brighthouse: An Analytic Data Warehouse for Ad-hoc Queries |
2008 |
VLDB |
9.081101e-05 |
| 2,269 |
GORDIAN: Efficient and Scalable Discovery of Composite Keys |
2006 |
VLDB |
8.8328424e-05 |
| 2,678 |
Weighted Hypertree Decompositions and Optimal Query Plans |
2004 |
PODS |
8.2680182e-05 |
| 2,723 |
Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation |
2022 |
VLDB |
8.2049453e-05 |
| 2,933 |
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views |
2022 |
SIGMOD |
7.9474026e-05 |
| 2,944 |
Query Optimizers: Time to Rethink the Contract? |
2009 |
SIGMOD |
7.9335187e-05 |
| 2,991 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
7.8880723e-05 |
| 3,228 |
Correlation Sketches for Approximate Join-Correlation Queries |
2021 |
SIGMOD |
7.6215176e-05 |
| 3,426 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
7.4218997e-05 |
| 3,545 |
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning |
2021 |
VLDB |
7.3249967e-05 |
| 4,405 |
DigitHist: a Histogram-Based Data Summary with Tight Error Bounds |
2017 |
VLDB |
6.7218674e-05 |
| 5,459 |
Bloom Histogram: Path Selectivity Estimation for XML Data with Updates |
2004 |
VLDB |
6.2108888e-05 |
| 5,693 |
Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA |
2014 |
SIGMOD |
6.1189424e-05 |
| 5,792 |
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation |
2022 |
VLDB |
6.0871213e-05 |
| 5,860 |
Understanding Cardinality Estimation using Entropy Maximization |
2010 |
PODS |
6.0636893e-05 |
| 6,360 |
Approximate Summaries for Why and Why-not Provenance |
2020 |
VLDB |
5.9009081e-05 |
| 6,510 |
Approximating and Testing k-Histogram Distributions in Sub-linear Time |
2012 |
PODS |
5.8569033e-05 |
| 6,760 |
LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries |
2024 |
SIGMOD |
5.7826781e-05 |
| 8,059 |
Probabilistic Histograms for Probabilistic Data |
2009 |
VLDB |
5.4979799e-05 |
| 8,124 |
Consistent and Flexible Selectivity Estimation for High-Dimensional Data |
2021 |
SIGMOD |
5.4829513e-05 |
| 8,420 |
Histograms as a Side Effect of Data Movement for Big Data |
2014 |
SIGMOD |
5.4279873e-05 |
| 8,511 |
NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews |
2021 |
VLDB |
5.4119882e-05 |
| 8,728 |
Computing A Well-Representative Summary of Conjunctive Query Results |
2024 |
PODS |
5.3766157e-05 |
| 9,209 |
Optimality and Scalability in Lattice Histogram Construction |
2009 |
VLDB |
5.3058708e-05 |
| 9,386 |
Determining Exact Quantiles with Randomized Summaries |
2024 |
SIGMOD |
5.2755515e-05 |
| 9,455 |
Small Selectivities Matter: Lifting the Burden of Empty Samples |
2021 |
SIGMOD |
5.2653318e-05 |
| 10,016 |
Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections |
2022 |
VLDB |
5.1764556e-05 |
| 10,851 |
ACE: A Cardinality Estimator for Set-Valued Queries |
2025 |
VLDB |
5.093636e-05 |
| 10,891 |
Cardinality Estimation for Having-Clauses |
2025 |
VLDB |
5.093636e-05 |
| 11,059 |
Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects |
2025 |
VLDB |
5.093636e-05 |
| 11,290 |
Presto’s History-based Query Optimizer |
2024 |
VLDB |
5.093636e-05 |
| 12,024 |
Are Few Bins Enough: Testing Histogram Distributions |
2016 |
PODS |
5.093636e-05 |
| 12,258 |
Statistics Collection in Oracle Spatial and Graph: Fast Histogram Construction for Complex Geometry Objects |
2013 |
VLDB |
5.093636e-05 |
| 12,502 |
Filtered Statistics |
2009 |
SIGMOD |
5.093636e-05 |