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Adaptive and Robust Query Execution for Lakehouses at Scale

Summary: Presents Adaptive Query Execution (AQE), using pipeline breakers to gather runtime statistics and re-optimize plans despite stale metadata and misestimates. Deployed at Databricks at exabyte scale, delivering up to 25× TPC-DS speedups and improved robustness. (summarized by gpt-5.6-luna on Jul 21 2026)

Paper ID
13784
Venue
VLDB
Year
2024
Pagerank
6.0206841e-05
Overall Rank
5,983 | 58.96%
DOI
10.14778/3685800.3685818

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{xue_vldb24,
        title = {{Adaptive and Robust Query Execution for Lakehouses at Scale}},
        author = {Xue, Maryann and Bu, Yingyi and Somani, Abhishek and Fan, Wenchen and Liu, Ziqi and Chen, Steven and van Hovell, Herman and Samwel, Bart and Mokhtar, Mostafa and Korlapati, RK and Lam, Andy and Ma, Yunxiao and Ercegovac, Vuk and Li, Jiexing and Behm, Alexander and Li, Yuanjian and Li, Xiao and Krishnamurthy, Sriram and Shukla, Amit and Petropoulos, Michalis and Paranjpye, Sameer and Xin, Reynold and Zaharia, Matei},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {12},
        pages = {3947--3959},
        doi = {10.14778/3685800.3685818},
        url = {https://doi.org/10.14778/3685800.3685818},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 24 of 24 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 0.0024089429
24 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00054865648
53 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.00041071971
66 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00038561587
100 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034385207
151 Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans 1998 SIGMOD 0.00029161879
186 The Vertica Analytic Database: C-Store 7 Years Later 2012 VLDB 0.00026182534
237 Amazon Redshift and the Case for Simpler Data Warehouses 2015 SIGMOD 0.0002369895
330 Impala: A Modern, Open-Source SQL Engine for Hadoop 2015 CIDR 0.0002104801
425 Shark: SQL and Rich Analytics at Scale 2013 SIGMOD 0.00018704491
474 Dynamic Query Evaluation Plans 1989 SIGMOD 0.00017894953
492 Robust Query Processing through Progressive Optimization 2004 SIGMOD 0.0001756877
520 Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores 2020 VLDB 0.00017136828
652 An Overview of The System Software of A Parallel Relational Database Machine GRACE 1986 VLDB 0.00015304915
1,108 Approximate Query Processing: No Silver Bullet 2017 SIGMOD 0.00012145154
1,138 Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics 2021 CIDR 0.00012023643
1,657 Handling Data Skew in Parallel Joins in Shared-Nothing Systems 2008 SIGMOD 0.00010096933
1,806 Effective Use of Block-Level Sampling in Statistics Estimation 2004 SIGMOD 9.7112151e-05
1,824 Photon: A Fast Query Engine for Lakehouse Systems 2022 SIGMOD 9.6734544e-05
2,095 Enhanced Subquery Optimizations in Oracle 2009 VLDB 9.1803718e-05
2,889 F1 Query: Declarative Querying at Scale 2018 VLDB 7.9935046e-05
3,606 Operating System Extensions for the Teradata Parallel VLDB 2001 VLDB 7.2634066e-05
4,705 Presto: A Decade of SQL Analytics at Meta 2023 SIGMOD 6.5529421e-05
6,117 Proactive Re-optimization with Rio 2005 SIGMOD 5.9706217e-05
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