Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation
Summary: Learning-based Progressive Cardinality Estimation (LPCE) combines a light LPCE-I with a refinement LPCE-R to accelerate end-to-end query execution. Runtime re-optimization uses actual operator cardinalities to refine plans, integrated into PostgreSQL and beating state-of-the-art estimators on end-to-end time. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Fang Wang (Hong Kong Polytechnic University)
- 2. Xiao Yan (Southern University of Science and Technology)
- 3. Man Lung Yiu (Hong Kong Polytechnic University)
- 4. Shuai Li (Hong Kong Polytechnic University)
- 5. Zunyao Mao (Southern University of Science and Technology)
- 6. Bo Tang (Southern University of Science and Technology)
BibTeX Citation
@inproceedings{wang_sigmod23,
title = {{Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation}},
author = {Wang, Fang and Yan, Xiao and Yiu, Man Lung and Li, Shuai and Mao, Zunyao and Tang, Bo},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588708},
url = {https://dl.acm.org/doi/10.1145/3588708},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 32 of 32 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,479 | Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process | 2022 | SIGMOD |
| 2 | 2,987 | Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs | 2022 | VLDB |
| 3 | 3,269 | Robust Query Driven Cardinality Estimation under Changing Workloads | 2023 | VLDB |
| 4 | 4,882 | LpBound: Pessimistic Cardinality Estimation using ℓp-Norms of Degree Sequences | 2025 | SIGMOD |
| 5 | 9,407 | Efficient and Effective Cardinality Estimation for Skyline Family | 2023 | SIGMOD |
| 6 | 2,523 | Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation | 2022 | VLDB |
| 7 | 983 | Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation | 2022 | VLDB |
| 8 | 1,064 | Are We Ready For Learned Cardinality Estimation? | 2021 | VLDB |
| 9 | 453 | An End-to-End Learning-based Cost Estimator | 2020 | VLDB |
| 10 | 5,457 | Sample-Efficient Cardinality Estimation Using Geometric Deep Learning | 2024 | VLDB |