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Upsortable: Programming Top-K Queries Over Data Streams

Summary: Upsortable enables safe, efficient Top-k queries over non-append-only streams by making standard Java sorted collections support evolving data. Its annotation-driven AST/bytecode transformation preserves full Java Collections compatibility without bespoke data structures. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11662
Venue
VLDB
Year
2017
Pagerank
5.093636e-05
Overall Rank
12,010 | 17.61%
DOI
10.14778/3137765.3137797

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Authors

BibTeX Citation

@article{subercaze_vldb17,
        title = {{Upsortable: Programming Top-K Queries Over Data Streams}},
        author = {Subercaze, Julien and Gravier, Christophe and Gillani, Syed and Kammoun, Abderrahmen and Laforest, Frederique},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {12},
        pages = {1873--1876},
        doi = {10.14778/3137765.3137797},
        url = {https://doi.org/10.14778/3137765.3137797},
        year = {2017}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
505 TelegraphCQ: Continuous Dataflow Processing 2003 SIGMOD 0.00017285498
612 Twitter Heron: Stream Processing at Scale 2015 SIGMOD 0.0001573018
1,389 Realtime Data Processing at Facebook 2016 SIGMOD 0.00010943767
1,513 Continuous Monitoring of Top-k Queries over Sliding Windows 2006 SIGMOD 0.00010530872
1,915 S-Store: Streaming Meets Transaction Processing 2015 VLDB 9.4884706e-05
8,536 Changing Engines in Midstream: A Java Stream Computational Model for Big Data Processing 2014 VLDB 5.4119882e-05
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