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Thrifty Query Execution via Incrementability

Summary: Proposes incrementability, a metric to gauge cost-effective incremental view maintenance for queries amid streaming data. Introduces InQP with decomposed control and a cost-model; Spark prototype shows reduced resource use with latency comparable to IVM. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6033
Venue
SIGMOD
Year
2020
Pagerank
5.5169373e-05
Overall Rank
7,967 | 45.34%
DOI
10.1145/3318464.3389756

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{tang_sigmod20,
        title = {{Thrifty Query Execution via Incrementability}},
        author = {Tang, Dixin and Shang, Zechao and Elmore, Aaron J. and Krishnan, Sanjay and Franklin, Michael J.},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3389756},
        url = {https://dl.acm.org/doi/10.1145/3318464.3389756},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 32 of 32 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
9 Online Aggregation 1997 SIGMOD 0.00077458002
18 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059284255
25 NiagaraCQ: A Scalable Continuous Query System for Internet Databases 2000 SIGMOD 0.00054667018
39 Efficiently Updating Materialized Views 1986 SIGMOD 0.00047309646
61 Maintaining Views Incrementally 1993 SIGMOD 0.00039026867
100 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034385207
111 TelegraphCQ: Continuous Dataflow Processing for an Uncertain World 2003 CIDR 0.00032990214
154 Neo: A Learned Query Optimizer 2019 VLDB 0.00028726181
375 Incremental Maintenance of Views with Duplicates 1995 SIGMOD 0.00019681204
396 R* Optimizer Validation and Performance Evaluation for Local Queries 1986 SIGMOD 0.00019287574
438 DBToaster: Higher-order Delta Processing for Dynamic, Frequently Fresh Views 2012 VLDB 0.00018471721
694 Cardinality Estimation Done Right: Index-Based Join Sampling 2017 CIDR 0.00014911698
710 Trill: A High-Performance Incremental Query Processor for Diverse Analytics 2015 VLDB 0.00014715033
816 The Dynamic Yannakakis Algorithm: Compact and Efficient Query Processing Under Updates 2017 SIGMOD 0.00013827772
1,016 Rate-Based Query Optimization for Streaming Information Sources 2002 SIGMOD 0.00012645699
1,027 Chain: Operator Scheduling for Memory Minimization in Data Stream Systems 2003 SIGMOD 0.00012563656
1,093 Maximizing the Output Rate of Multi-Way Join Queries over Streaming Information Sources 2003 VLDB 0.00012218435
1,133 Algorithms for Deferred View Maintenance 1996 SIGMOD 0.00012039326
1,218 P-Store: An Elastic Database System with Predictive Provisioning 2018 SIGMOD 0.00011621066
1,499 Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities 2019 SIGMOD 0.00010564536
1,750 Lazy Maintenance of Materialized Views 2007 VLDB 9.8392477e-05
2,157 A Black-Box Approach to Query Cardinality Estimation 2007 CIDR 9.0625592e-05
2,447 Operator Scheduling in a Data Stream Manager 2003 VLDB 8.5728111e-05
2,771 Supporting Multiple View Maintenance Policies 1997 SIGMOD 8.1455861e-05
3,087 How to Win a Hot Dog Eating Contest: Distributed Incremental View Maintenance with Batch Updates 2016 SIGMOD 7.7702906e-05
4,596 Static Optimization of Conjunctive Queries with Sliding Windows Over Infinite Streams 2004 SIGMOD 6.6133976e-05
5,137 Exact Cardinality Query Optimization with Bounded Execution Cost 2019 SIGMOD 6.3507372e-05
5,911 RPJ: Producing Fast Join Results on Streams through Rate-based Optimization 2005 SIGMOD 6.0443263e-05
6,122 iOLAP: Managing Uncertainty for Efficient Incremental OLAP 2016 SIGMOD 5.9687498e-05
6,819 Estimating the Impact of Unknown Unknowns on Aggregate Query Results 2016 SIGMOD 5.7635226e-05
7,200 Intermittent Query Processing 2019 VLDB 5.6756294e-05
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