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B^link-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases

Summary: B^link-hash hybridizes B+-trees with large hash leaves, randomizing monotonically increasing timestamp inserts to alleviate hotspot contention. Median-approximate/lazy splits and adaptive conversion back to tree nodes preserve scans, yielding up to 91.3× higher ingestion throughput. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13178
Venue
VLDB
Year
2023
Pagerank
5.4574671e-05
Overall Rank
8,255 | 43.37%
DOI
10.14778/3583140.3583143

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{cha_vldb23,
        title = {{B\^{}link-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases}},
        author = {Cha, Hokeun and Hao, Xiangpeng and Wang, Tianzheng and Zhang, Huanchen and Akella, Aditya and Yu, Xiangyao},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {6},
        pages = {1235--1248},
        doi = {10.14778/3583140.3583143},
        url = {https://doi.org/10.14778/3583140.3583143},
        year = {2023}
}

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