Updatable Learned Index with Precise Positions
Summary: LIPP, an updatable learned index, predicts exact leaf positions and supports lookup, range, insert, delete, update, and bulkload. It extends the index to fix prediction deviations during updates, adds dynamic height control with theoretical guarantees, delivering up to 4× gains over prior learned indexes. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiacheng Wu
- 2. Yong Zhang
- 3. Shimin Chen
- 4. Jin Wang
- 5. Yu Chen
- 6. Chunxiao Xing
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| 102 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00049545203 |
| 8,811 | Tuning Hierarchical Learned Indexes on Disk and Beyond | 2022 | SIGMOD | 4.4441574e-05 |
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| 1,460 | Benchmarking Learned Indexes | 2021 | VLDB | 0.00011887068 |
| 4,128 | Are Updatable Learned Indexes Ready? | 2022 | VLDB | 6.4292373e-05 |
| 5,074 | Learned Index: A Comprehensive Experimental Evaluation | 2023 | VLDB | 5.7175726e-05 |
| 6,445 | Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices | 2023 | SIGMOD | 5.0589805e-05 |