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Scalable Multi-Query Execution using Reinforcement Learning

Summary: RouLette uses reinforcement learning to drive adaptive, runtime sharing for multi-query execution, avoiding costly pre-optimization. It delivers 1.6–28.3× throughput gains vs a query-at-a-time engine and up to 6.5× vs sharing prototypes on TPC-DS-like workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hb79a83ff31ab2cae
Venue
SIGMOD
Year
2021
Pagerank
5.5308106e-05
Overall Rank
7,347 | 50.76%
DOI
10.1145/3448016.3452799

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{sioulas_sigmod21,
        title = {{Scalable Multi-Query Execution using Reinforcement Learning}},
        author = {Sioulas, Panagiotis and Ailamaki, Anastasia},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452799},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452799},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 27 of 27 cited papers.

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

Rank Cited Paper Year Venue Pagerank
15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061463175
48 Weaving Relations for Cache Performance 2001 VLDB 0.00043770511
53 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.00040739114
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035920657
129 Efficient and Extensible Algorithms for Multi Query Optimization 2000 SIGMOD 0.00030314403
135 Ripple Joins for Online Aggregation 1999 SIGMOD 0.00029805026
142 Neo: A Learned Query Optimizer 2019 VLDB 0.00029114937
201 Continuously Adaptive Continuous Queries over Streams 2002 SIGMOD 0.00025363666
390 QPipe: A Simultaneously Pipelined Relational Query Engine 2005 SIGMOD 0.00019232929
405 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019020138
473 The Making of TPC-DS 2006 VLDB 0.00017656775
670 SharedDB: Killing One Thousand Queries With One Stone 2012 VLDB 0.00014929358
690 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014703258
768 Cooperative Scans: Dynamic Bandwidth Sharing in a DBMS 2007 VLDB 0.00014096379
824 Adaptive Ordering of Pipelined Stream Filters 2004 SIGMOD 0.0001360282
833 Pipelining in Multi-Query Optimization 2001 PODS 0.00013541546
1,029 A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses 2009 VLDB 0.00012380835
1,043 The DataPath System: A Data-Centric Analytic Processing Engine for Large Data Warehouses 2010 SIGMOD 0.00012325755
1,109 Maximizing the Output Rate of Multi-Way Join Queries over Streaming Information Sources 2003 VLDB 0.00011949421
1,137 Efficient Exploitation of Similar Subexpressions for Query Processing 2007 SIGMOD 0.00011856159
1,387 Procella: Unifying serving and analytical data at YouTube 2019 VLDB 0.0001080904
1,757 Selecting Subexpressions to Materialize at Datacenter Scale 2018 VLDB 9.7050769e-05
2,237 Shared Workload Optimization 2014 VLDB 8.7777395e-05
2,731 TPC-DS, Taking Decision Support Benchmarking to the Next Level 2002 SIGMOD 8.0676575e-05
4,082 The Case for Precision Sharing 2004 VLDB 6.8010384e-05
4,394 Lifting the Burden of History from Adaptive Query Processing 2004 VLDB 6.6084598e-05
4,751 MQJoin: Efficient Shared Execution of Main-Memory Joins 2016 VLDB 6.42279e-05
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