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SALI: A Scalable Adaptive Learned Index Framework based on Probability Models

Summary: SALI: scalable adaptive learned index using probability models for data-driven lookup. Core ideas: evolving nodes to adapt to skew and boost concurrency; lightweight statistical maintenance to improve scalability on LIPP with fine-grained locks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6821
Venue
SIGMOD
Year
2023
Pagerank
5.7489487e-05
Overall Rank
6,874 | 52.84%
DOI
10.1145/3626752

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ge_sigmod23,
        title = {{SALI: A Scalable Adaptive Learned Index Framework based on Probability Models}},
        author = {Ge, Jiake and Zhang, Huanchen and Shi, Boyu and Luo, Yuanhui and Guo, Yunda and Chai, Yunpeng and Chen, Yuxing and Pan, Anqun},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3626752},
        url = {https://dl.acm.org/doi/10.1145/3626752},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 23 of 23 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
43 The Case for Learned Index Structures 2018 SIGMOD 0.00046060254
154 Neo: A Learned Query Optimizer 2019 VLDB 0.00028726181
278 FAST: Fast Architecture Sensitive Tree Search on Modern CPUs and GPUs 2010 SIGMOD 0.00022476841
447 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018322593
477 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00017851226
790 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.0001401445
847 Benchmarking Learned Indexes 2021 VLDB 0.0001365768
873 Learning Multi-dimensional Indexes 2020 SIGMOD 0.00013481915
964 Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes 2016 SIGMOD 0.00012934147
1,174 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00011817414
1,418 LISA: A Learned Index Structure for Spatial Data 2020 SIGMOD 0.00010835539
1,551 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010381398
2,233 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 8.8968964e-05
2,806 Are Updatable Learned Indexes Ready? 2022 VLDB 8.1013097e-05
2,910 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 7.9700885e-05
3,729 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.1683974e-05
4,300 DILI: A Distribution-Driven Learned Index 2023 VLDB 6.773869e-05
4,414 NFL: Robust Learned Index via Distribution Transformation 2022 VLDB 6.7159984e-05
5,285 Order-Preserving Key Compression for In-Memory Search Trees 2020 SIGMOD 6.2821588e-05
5,423 Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices 2023 SIGMOD 6.2242567e-05
5,447 FILM: a Fully Learned Index for Larger-than-Memory Databases 2023 VLDB 6.2149491e-05
6,163 A Critical Analysis of Recursive Model Indexes 2022 VLDB 5.9532723e-05
7,012 Adaptive Hybrid Indexes 2022 SIGMOD 5.7262686e-05
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