DILI: A Distribution-Driven Learned Index
Summary: DILI builds a distribution-driven learned index with linear models and adaptive, locality-aware fanouts, yielding perfect internal-node routing and model-predicted leaf positions. It supports efficient dynamic updates by restructuring as distributions change, outperforming prior learned indexes. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Pengfei Li (Alibaba)
- 2. Hua Lu (Roskilde University)
- 3. Rong Zhu (Alibaba)
- 4. Bolin Ding (Alibaba)
- 5. Long Yang (Peking University)
- 6. Gang Pan (Zhejiang University)
BibTeX Citation
@article{li_vldb23,
title = {{DILI: A Distribution-Driven Learned Index}},
author = {Li, Pengfei and Lu, Hua and Zhu, Rong and Ding, Bolin and Yang, Long and Pan, Gang},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {9},
pages = {2212--2224},
doi = {10.14778/3598581.3598593},
url = {https://doi.org/10.14778/3598581.3598593},
year = {2023}
}
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