| 9 |
Implementation Techniques For Main Memory Database Systems |
1984 |
SIGMOD |
0.001426258 |
| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059446482 |
| 281 |
LinkBench: a Database Benchmark Based on the Facebook Social Graph |
2013 |
SIGMOD |
0.00029084275 |
| 329 |
Neo: A Learned Query Optimizer |
2019 |
VLDB |
0.00027301488 |
| 363 |
CockroachDB: The Resilient Geo-Distributed SQL Database |
2020 |
SIGMOD |
0.00025750338 |
| 606 |
DeepDB: Learn from Data, not from Queries! |
2020 |
VLDB |
0.00019251186 |
| 608 |
Monkey: Optimal Navigable Key-Value Store |
2017 |
SIGMOD |
0.00019233548 |
| 634 |
Bao: Making Learned Query Optimization Practical |
2021 |
SIGMOD |
0.00018844568 |
| 804 |
An End-to-End Learning-based Cost Estimator |
2020 |
VLDB |
0.0001643674 |
| 844 |
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds |
2020 |
VLDB |
0.00015964123 |
| 876 |
Plan-Structured Deep Neural Network Models for Query Performance Prediction |
2019 |
VLDB |
0.00015660534 |
| 905 |
NeuroCard: One Cardinality Estimator for All Tables |
2021 |
VLDB |
0.00015423174 |
| 1,309 |
Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging |
2018 |
SIGMOD |
0.00012655712 |
| 1,437 |
AsterixDB: A Scalable, Open Source BDMS |
2014 |
VLDB |
0.00011973401 |
| 1,438 |
Benchmarking Learned Indexes |
2021 |
VLDB |
0.00011965956 |
| 1,614 |
MyRocks: LSM-Tree Database Storage Engine Serving Facebook's Social Graph |
2020 |
VLDB |
0.00011137963 |
| 1,616 |
Realtime Data Processing at Facebook |
2016 |
SIGMOD |
0.00011133818 |
| 1,800 |
An Experimental Comparison of Thirteen Relational Equi-Joins in Main Memory |
2016 |
SIGMOD |
0.00010494121 |
| 1,932 |
X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing |
2019 |
SIGMOD |
0.00010050776 |
| 2,112 |
The Log-Structured Merge-Bush & the Wacky Continuum |
2019 |
SIGMOD |
9.5244583e-05 |
| 2,153 |
The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models |
2018 |
SIGMOD |
9.418541e-05 |
| 2,606 |
Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn |
2019 |
CIDR |
8.4621503e-05 |
| 2,781 |
Flow-Loss: Learning Cardinality Estimates That Matter |
2021 |
VLDB |
8.1282042e-05 |
| 3,545 |
Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores |
2020 |
SIGMOD |
6.9831585e-05 |
| 3,567 |
Accordion: Better Memory Organization for LSM Key-Value Stores |
2018 |
VLDB |
6.9606988e-05 |
| 3,924 |
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation |
2021 |
SIGMOD |
6.6227223e-05 |
| 3,970 |
Spooky: Granulating LSM-Tree Compactions Correctly |
2022 |
VLDB |
6.5756727e-05 |
| 3,992 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
6.5519369e-05 |
| 4,227 |
Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine |
2022 |
VLDB |
6.3381409e-05 |
| 4,244 |
A Disk-Based Join With Probabilistic Guarantees* |
2005 |
SIGMOD |
6.3228453e-05 |
| 4,836 |
Proteus: A Self-Designing Range Filter |
2022 |
SIGMOD |
5.8849277e-05 |
| 5,367 |
LogKV: Exploiting Key-Value Stores for Event Log Processing |
2013 |
CIDR |
5.5461097e-05 |
| 5,543 |
Lightweight Cardinality Estimation in LSM-based Systems |
2018 |
SIGMOD |
5.4486922e-05 |
| 5,641 |
A Comparative Study of Secondary Indexing Techniques in LSM-based NoSQL Databases |
2018 |
SIGMOD |
5.3968037e-05 |
| 5,769 |
Oasis: An Optimal Disjoint Segmented Learned Range Filter |
2024 |
VLDB |
5.3326049e-05 |
| 5,920 |
Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems |
2021 |
VLDB |
5.2686888e-05 |
| 6,193 |
SQLite: Past, Present, and Future |
2022 |
VLDB |
5.1593011e-05 |
| 6,394 |
Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty |
2022 |
VLDB |
5.0770427e-05 |
| 7,623 |
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads |
2023 |
SIGMOD |
4.6890662e-05 |
| 7,743 |
Efficient Data Ingestion and Query Processing for LSM-Based Storage Systems |
2019 |
VLDB |
4.6581858e-05 |
| 8,011 |
CAMAL: Optimizing LSM-trees via Active Learning |
2024 |
SIGMOD |
4.6022693e-05 |
| 8,411 |
The Case for Learned In-Memory Joins |
2023 |
VLDB |
4.5151296e-05 |
| 8,855 |
A Design Space Exploration and Evaluation for Main-Memory Hash Joins in Storage Class Memory |
2023 |
VLDB |
4.4306395e-05 |
| 9,069 |
Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space |
2024 |
SIGMOD |
4.3983078e-05 |
| 9,191 |
POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance |
2024 |
VLDB |
4.3738237e-05 |