LIMAO: A Framework for Lifelong Modular Learned Query Optimization

Summary: LIMAO: a lifelong, modular framework that equips learned query optimizers with attention-based neural composition and continual learning to retain cost-prediction knowledge across evolving workloads. Engine-agnostic plug-in improves plan stability and performance (large runtime reductions vs. baselines and Postgres) and mitigates catastrophic forgetting. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 14066
Venue: VLDB
Year: 2025
Pagerank: 4.3536343e-05
Overall Rank: 9,345 | 34.99%
DOI: 10.14778/3749646.3749712

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,156	Divo: Learning a Stable and Effective Query Optimizer with a Diverse Workload	2026	SIGMOD	4.1945683e-05
10,271	OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning	2026	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 35 of 35 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
1	Access Path Selection in a Relational Database Management System	1979	SIGMOD	0.0040449103
71	How Good Are Query Optimizers, Really?	2016	VLDB	0.00059038975
102	The Case for Learned Index Structures	2018	SIGMOD	0.00049545203
204	Learned Cardinalities: Estimating Correlated Joins with Deep Learning	2019	CIDR	0.00034784455
333	Neo: A Learned Query Optimizer	2019	VLDB	0.00027206884
640	Bao: Making Learned Query Optimization Practical	2021	SIGMOD	0.00018759152
758	Deep Unsupervised Cardinality Estimation	2020	VLDB	0.0001706608
806	An End-to-End Learning-based Cost Estimator	2020	VLDB	0.00016434274
826	ALEX: An Updatable Adaptive Learned Index	2020	SIGMOD	0.00016224841
884	Plan-Structured Deep Neural Network Models for Query Performance Prediction	2019	VLDB	0.00015654004
910	NeuroCard: One Cardinality Estimator for All Tables	2021	VLDB	0.00015423056
1,407	DB-BERT: A Database Tuning Tool that "Reads the Manual"	2022	SIGMOD	0.00012146739
1,547	Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions	2011	VLDB	0.00011442359
2,121	Balsa: Learning a Query Optimizer Without Expert Demonstrations	2022	SIGMOD	9.5017232e-05
2,762	FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation	2021	VLDB	8.1585394e-05
2,783	Flow-Loss: Learning Cardinality Estimates That Matter	2021	VLDB	8.1293383e-05
3,114	GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization	2024	VLDB	7.5451724e-05
3,266	Learned Cardinality Estimation: An In-depth Study	2022	SIGMOD	7.3074684e-05
3,348	Lero: A Learning-to-Rank Query Optimizer	2023	VLDB	7.1904529e-05
3,449	Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation	2022	VLDB	7.0824319e-05
3,727	Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection	2022	VLDB	6.8141709e-05
3,828	Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction	2022	VLDB	6.7208524e-05
3,924	A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation	2021	SIGMOD	6.6271553e-05
3,954	Efficiently Approximating Selectivity Functions using Low Overhead Regression Models	2020	VLDB	6.5926838e-05
4,417	Robust Query Driven Cardinality Estimation under Changing Workloads	2023	VLDB	6.2037371e-05
4,462	LOGER: A Learned Optimizer towards Generating Efficient and Robust Query Execution Plans	2023	VLDB	6.1611784e-05
5,258	One Model to Rule them All: Towards Zero-Shot Learning for Databases	2022	CIDR	5.5998705e-05
5,334	LEON: A New Framework for ML-Aided Query Optimization	2023	VLDB	5.5649836e-05
5,401	ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads	2024	VLDB	5.5285035e-05
5,423	Kepler: Robust Learning for Faster Parametric Query Optimization	2023	SIGMOD	5.5130233e-05
5,645	Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts	2022	SIGMOD	5.3923454e-05
5,671	LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems	2022	SIGMOD	5.3803919e-05
5,952	Eraser: Eliminating Performance Regression on Learned Query Optimizer	2024	VLDB	5.2591691e-05
7,330	Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries	2023	SIGMOD	4.7609373e-05
7,828	Modeling Shifting Workloads for Learned Database Systems	2024	SIGMOD	4.6407986e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
6,685	How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks	2025	SIGMOD	4.9627485e-05
10,225	LIO: A lightweight and interpretable query optimizer based on an evolutionary forest	2026	VLDB	4.1945683e-05
3,277	A Layered Aggregate Engine for Analytics Workloads	2019	SIGMOD	7.2871625e-05
333	Neo: A Learned Query Optimizer	2019	VLDB	0.00027206884
11,350	DeepO: A Learned Query Optimizer	2022	SIGMOD	4.1945683e-05
7,008	Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective	2024	VLDB	4.8643538e-05
3,348	Lero: A Learning-to-Rank Query Optimizer	2023	VLDB	7.1904529e-05
8,488	Can Large Language Models Be Query Optimizer for Relational Databases?	2026	SIGMOD	4.4998609e-05
7,330	Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries	2023	SIGMOD	4.7609373e-05
9,587	Low Rank Learning for Offline Query Optimization	2025	SIGMOD	4.3215645e-05