Are Updatable Learned Indexes Ready?
Summary: First comprehensive empirical evaluation of updatable learned indexes across ten real datasets and varied workloads. Compared with traditional indexes under changing distributions and concurrency, it yields deployment guidance and design takeaways. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Chaichon Wongkham (Chinese University of Hong Kong)
- 2. Baotong Lu (Chinese University of Hong Kong)
- 3. Chris Liu (Chinese University of Hong Kong)
- 4. Zhicong Zhong (Chinese University of Hong Kong)
- 5. Eric Lo (Chinese University of Hong Kong)
- 6. Tianzheng Wang (Simon Fraser University)
BibTeX Citation
@article{wongkham_vldb22,
title = {{Are Updatable Learned Indexes Ready?}},
author = {Wongkham, Chaichon and Lu, Baotong and Liu, Chris and Zhong, Zhicong and Lo, Eric and Wang, Tianzheng},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {3004--3017},
doi = {10.14778/3551793.3551848},
url = {https://doi.org/10.14778/3551793.3551848},
year = {2022}
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