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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
hf9d2c744487ef72b
Venue
SIGMOD
Year
2020
Pagerank
5.391109e-05
Overall Rank
8,137 | 45.32%
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 0.0023943337
9 Online Aggregation 1997 SIGMOD 0.00076265429
15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061067652
25 NiagaraCQ: A Scalable Continuous Query System for Internet Databases 2000 SIGMOD 0.00053906051
39 Efficiently Updating Materialized Views 1986 SIGMOD 0.00046583225
62 Maintaining Views Incrementally 1993 SIGMOD 0.00039040346
98 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034099838
112 TelegraphCQ: Continuous Dataflow Processing for an Uncertain World 2003 CIDR 0.00032445088
144 Neo: A Learned Query Optimizer 2019 VLDB 0.00029090793
388 Incremental Maintenance of Views with Duplicates 1995 SIGMOD 0.00019342096
397 R* Optimizer Validation and Performance Evaluation for Local Queries 1986 SIGMOD 0.00019151375
408 DBToaster: Higher-order Delta Processing for Dynamic, Frequently Fresh Views 2012 VLDB 0.00018894165
685 Trill: A High-Performance Incremental Query Processor for Diverse Analytics 2015 VLDB 0.00014778299
688 Cardinality Estimation Done Right: Index-Based Join Sampling 2017 CIDR 0.00014749318
813 The Dynamic Yannakakis Algorithm: Compact and Efficient Query Processing Under Updates 2017 SIGMOD 0.00013722638
1,030 Rate-Based Query Optimization for Streaming Information Sources 2002 SIGMOD 0.00012402072
1,047 Chain: Operator Scheduling for Memory Minimization in Data Stream Systems 2003 SIGMOD 0.00012303144
1,108 Maximizing the Output Rate of Multi-Way Join Queries over Streaming Information Sources 2003 VLDB 0.00011986214
1,149 Algorithms for Deferred View Maintenance 1996 SIGMOD 0.00011804215
1,160 P-Store: An Elastic Database System with Predictive Provisioning 2018 SIGMOD 0.00011763834
1,465 Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities 2019 SIGMOD 0.00010572023
1,780 Lazy Maintenance of Materialized Views 2007 VLDB 9.654014e-05
2,174 A Black-Box Approach to Query Cardinality Estimation 2007 CIDR 8.9193253e-05
2,502 Operator Scheduling in a Data Stream Manager 2003 VLDB 8.3769557e-05
2,801 Supporting Multiple View Maintenance Policies 1997 SIGMOD 7.9878617e-05
3,128 How to Win a Hot Dog Eating Contest: Distributed Incremental View Maintenance with Batch Updates 2016 SIGMOD 7.611678e-05
4,695 Static Optimization of Conjunctive Queries with Sliding Windows Over Infinite Streams 2004 SIGMOD 6.4632424e-05
5,200 Exact Cardinality Query Optimization with Bounded Execution Cost 2019 SIGMOD 6.2303304e-05
6,032 RPJ: Producing Fast Join Results on Streams through Rate-based Optimization 2005 SIGMOD 5.9077446e-05
6,220 iOLAP: Managing Uncertainty for Efficient Incremental OLAP 2016 SIGMOD 5.8447948e-05
6,801 Intermittent Query Processing 2019 VLDB 5.6776677e-05
6,885 Estimating the Impact of Unknown Unknowns on Aggregate Query Results 2016 SIGMOD 5.6546466e-05
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