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POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance

Summary: POLAR non-invasively augments left-deep pipelines with alternative join orders and regret-bounded tuple routing to self-select “plans of least resistance.” In DuckDB, it delivers up to 9× speedups with <7% overhead, outperforming prior AQP by 15×. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13568
Venue
VLDB
Year
2024
Pagerank
5.4142129e-05
Overall Rank
8,494 | 41.73%
DOI
10.14778/3648160.3648175

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{justen_vldb24,
        title = {{POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance}},
        author = {Justen, David and Ritter, Daniel and Fraser, Campbell and Lamb, Andrew and Tran, Nga and Lee, Allison and Bodner, Thomas and Haddad, Mhd Yamen and Zeuch, Steffen and Markl, Volker and Boehm, Matthias},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {6},
        pages = {1350--1363},
        doi = {10.14778/3648160.3648175},
        url = {https://doi.org/10.14778/3648160.3648175},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
5,529 Debunking the Myth of Join Ordering: Toward Robust SQL Analytics 2025 SIGMOD 6.18591e-05
9,465 Are Joins over LSM-trees Ready? Take RocksDB as an Example 2025 VLDB 5.2634238e-05
9,920 Still Asking: How Good Are Query Optimizers, Really? 2025 VLDB 5.1955087e-05
10,291 SmartRabbit: An Interactive Query Processor 2026 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 18 of 68 cited papers.

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

Rank Cited Paper Year Venue Pagerank
4,591 Automated Statistics Collection in DB2 UDB 2004 VLDB 6.614318e-05
4,616 On the Production of Anorexic Plan Diagrams 2007 VLDB 6.6048588e-05
4,849 Bitvector-aware Query Optimization for Decision Support Queries 2020 SIGMOD 6.4803828e-05
4,866 Micro-architectural Analysis of In-memory OLTP 2016 SIGMOD 6.4720641e-05
4,900 COMPASS: Online Sketch-based Query Optimization for In-Memory Databases 2021 SIGMOD 6.4534715e-05
5,010 Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server 2023 VLDB 6.4023732e-05
5,215 The NebulaStream Platform: Data and Application Management for the Internet of Things 2020 CIDR 6.3124972e-05
5,898 On the Stability of Plan Costs and the Costs of Plan Stability 2010 VLDB 6.0471908e-05
6,107 Adaptive Query Processing: Why, How, When, What Next 2006 SIGMOD 5.9734944e-05
6,349 Grizzly: Efficient Stream Processing Through Adaptive Query Compilation 2020 SIGMOD 5.9049304e-05
7,296 StreaMon: An Adaptive Engine for Stream Query Processing 2004 SIGMOD 5.6531151e-05
7,366 Non-Invasive Progressive Optimization for In-Memory Databases 2016 VLDB 5.6322753e-05
7,829 Robust Query Processing: Mission Possible 2020 VLDB 5.5360082e-05
7,882 Efficiently Computing Join Orders with Heuristic Search 2023 SIGMOD 5.5237338e-05
8,698 SkinnerMT: Parallelizing for Efficiency and Robustness in Adaptive Query Processing on Multicore Platforms 2023 VLDB 5.3830073e-05
8,965 Sharing-Aware Horizontal Partitioning for Exploiting Correlations During Query Processing 2010 VLDB 5.3432371e-05
8,998 Histograms Reloaded: The Merits of Bucket Diversity 2010 SIGMOD 5.3355988e-05
9,336 Elasticutor: Rapid Elasticity for Realtime Stateful Stream Processing 2019 SIGMOD 5.2878276e-05
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