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Demonstrating Indexing for Near-Sorted Data

Summary: Demonstrates how B+-trees waste work on pre-/near-sorted data, compared with tail-leaf optimization, SWARE, and QuIT. Interactive visualization exposes ingestion behavior and quantifies the performance gains from exploiting intrinsic order. (summarized by gpt-5.6-luna on Aug 28 2026)

Paper ID
h80f51a5c2a0b1a8d
Venue
VLDB
Year
2026
Pagerank
4.9793485e-05
Overall Rank
10,992 | 26.10%
DOI
10.14778/3827998.3828099

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Authors

BibTeX Citation

@article{raman_vldb26,
        title = {{Demonstrating Indexing for Near-Sorted Data}},
        author = {Raman, Aneesh and Chindris, Philip and Saha, Anwesha and Bagashvili, Teona and Athanassoulis, Manos},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {12},
        pages = {4694--4697},
        doi = {10.14778/3827998.3828099},
        url = {https://doi.org/10.14778/3827998.3828099},
        year = {2026}
}

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Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
216 Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing 1998 VLDB 0.00024485024
1,510 BF-Tree: Approximate Tree Indexing 2014 VLDB 0.00010438563
4,364 An Evaluation of Generic Bulk Loading Techniques 2001 VLDB 6.6343719e-05
4,971 Efficient Bulk Updates on Multiversion B-trees 2013 VLDB 6.3328967e-05
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