From Learning to Recycling: A Log-Structured Learned-Less Index
Summary: Learned-Less Index: a log-structured learned index for LSM KV stores that recycles/merges existing linear regression models instead of retraining from sorted keys, making model construction up to 615x faster than Greedy-PLR. Prebuilt models are available at SSTable creation, improving query speed and compaction under high concurrency despite larger prediction error. (summarized by gpt-5-mini on Apr 11 2026)
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Authors
- 1. Hera Koo
- 2. Sungho Moon
- 3. Sangeun Chae
- 4. Wook-Hee Kim
- 5. Jongmoo Choi
- 6. Beomseok Nam
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 101 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00049778866 |
| 819 | ALEX: An Updatable Adaptive Learned Index | 2020 | SIGMOD | 0.00016237497 |
| 844 | The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds | 2020 | VLDB | 0.00015964123 |
| 1,365 | FITing-Tree: A Data-aware Index Structure | 2019 | SIGMOD | 0.00012379754 |
| 1,438 | Benchmarking Learned Indexes | 2021 | VLDB | 0.00011965956 |
| 1,957 | Compaction management in distributed key-value datastores | 2015 | VLDB | 9.961151e-05 |
| 2,550 | Updatable Learned Index with Precise Positions | 2021 | VLDB | 8.5569576e-05 |
| 9,351 | Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs | 2024 | SIGMOD | 4.3490308e-05 |
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| Overall Rank | Paper | Year | Venue | Pagerank |
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| 2,550 | Updatable Learned Index with Precise Positions | 2021 | VLDB | 8.5569576e-05 |
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| 5,154 | Hist-Tree: Those Who Ignore It Are Doomed to Learn | 2021 | CIDR | 5.6548237e-05 |
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| 1,438 | Benchmarking Learned Indexes | 2021 | VLDB | 0.00011965956 |
| 5,072 | Learned Index: A Comprehensive Experimental Evaluation | 2023 | VLDB | 5.7121108e-05 |