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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
6.4010108e-05
Overall Rank
4,792 | 67.88%
DOI
-
PDF
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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.

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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 0.00076079812
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046249672
74 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00037164008
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035920657
105 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00033605348
309 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.0002143249
320 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021128745
453 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001801482
458 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00017870238
473 The Making of TPC-DS 2006 VLDB 0.00017656775
550 SageDB: A Learned Database System 2019 CIDR 0.00016525249
770 VerdictDB: Universalizing Approximate Query Processing 2018 SIGMOD 0.00014086699
841 Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters 2016 SIGMOD 0.00013503124
1,436 Towards a Learning Optimizer for Shared Clouds 2019 VLDB 0.00010658836
1,462 Querying Continuous Functions in a Database System 2008 SIGMOD 0.00010555763
1,583 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 0.00010148362
1,804 IDEBench: A Benchmark for Interactive Data Exploration 2020 SIGMOD 9.5971444e-05
1,839 DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models 2019 SIGMOD 9.5187688e-05
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