Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis]
Summary: Systematic benchmarking shows updatable learned indexes lack robustness: real-time model instability erodes gains and they rarely beat traditional indexes in workloads. Root causes include overfitting and unbalanced structures; mitigations offered. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yuanhui Luo
- 2. Minhui Xie
- 3. Yiheng Tong
- 4. Shichao Jiang
- 5. Yunpeng Chai
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