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Learned Approximate Query Processing: Make it Light, Accurate and Fast

Summary: DBEst++: a lightweight learned AQP engine that blends word embeddings with compact neural regressors for joint density estimation and aggregation-value prediction, enabling many small models to cover broad analytical workloads. Robust to high-cardinality categoricals and updates; empirically outperforms learned and sampling-based AQP on TPC‑DS/Flights in accuracy, latency and memory. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h374bd27140b56ab8
Venue
CIDR
Year
2021
Pagerank
6.4162085e-05
Overall Rank
4,781 | 67.86%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ma_cidr21,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '21},
        title = {{Learned Approximate Query Processing: Make it Light, Accurate and Fast}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Ma, Qingzhi and Shanghooshabad, Ali M. and Almasi, Mehrdad and Kurmanji, Meghdad and Triantafillou, Peter},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank Citing Paper Year Venue Pagerank
1,064 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012202282
2,342 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 8.6060437e-05
4,482 LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning 2022 SIGMOD 6.5802486e-05
5,501 SemBench: A Benchmark for Semantic Query Processing Engines 2026 VLDB 6.1027188e-05
5,657 PGMJoins: Random Join Sampling with Graphical Models 2021 SIGMOD 6.0488437e-05
5,716 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 6.0194657e-05
7,375 PairwiseHist: Fast, Accurate and Space-Efficient Approximate Query Processing with Data Compression 2024 VLDB 5.5400509e-05
8,659 ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation 2023 VLDB 5.2930951e-05
8,947 Machine Unlearning in Learned Databases: An Experimental Analysis 2024 SIGMOD 5.2532248e-05
9,362 Exploring Exploratory Querying 2025 VLDB 5.1868213e-05
10,401 A Backend-Agnostic Compiler for Approximate Query Processing with Probabilistic Tensor Algebra 2026 SIGMOD 4.9793485e-05
11,184 FAAQP: Fast and Accurate Approximate Query Processing based on Bitmap-augmented Sum-Product Network 2025 SIGMOD 4.9793485e-05
11,239 Holistic query Approximation via RL Modeling 2025 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 18 of 18 cited papers.

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

Rank Cited Paper Year Venue Pagerank
9 Online Aggregation 1997 SIGMOD 0.00076195956
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046284649
78 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036684414
85 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035864347
105 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00033638251
314 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00021282642
318 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021167555
460 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00017842695
461 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00017829982
479 The Making of TPC-DS 2006 VLDB 0.00017622471
555 SageDB: A Learned Database System 2019 CIDR 0.00016506678
784 VerdictDB: Universalizing Approximate Query Processing 2018 SIGMOD 0.00014012614
840 Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters 2016 SIGMOD 0.0001354605
1,433 Towards a Learning Optimizer for Shared Clouds 2019 VLDB 0.00010677711
1,456 Querying Continuous Functions in a Database System 2008 SIGMOD 0.00010589614
1,580 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 0.00010180835
1,797 IDEBench: A Benchmark for Interactive Data Exploration 2020 SIGMOD 9.6187325e-05
1,829 DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models 2019 SIGMOD 9.5510333e-05
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