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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
h63aedbcad1fdec13
Venue
SIGMOD
Year
2023
Pagerank
5.619958e-05
Overall Rank
7,018 | 52.82%
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
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046284649
145 Neo: A Learned Query Optimizer 2019 VLDB 0.0002908188
282 FAST: Fast Architecture Sensitive Tree Search on Modern CPUs and GPUs 2010 SIGMOD 0.00022264207
430 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018409112
463 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00017804544
779 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.00014030069
848 Benchmarking Learned Indexes 2021 VLDB 0.00013506188
868 Learning Multi-dimensional Indexes 2020 SIGMOD 0.00013354403
971 Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes 2016 SIGMOD 0.00012766019
1,191 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00011590153
1,446 LISA: A Learned Index Structure for Spatial Data 2020 SIGMOD 0.00010629222
1,550 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010282449
2,277 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 8.7075835e-05
2,636 Are Updatable Learned Indexes Ready? 2022 VLDB 8.1941043e-05
2,866 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 7.9258875e-05
3,803 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.0127652e-05
4,375 DILI: A Distribution-Driven Learned Index 2023 VLDB 6.6292167e-05
4,508 NFL: Robust Learned Index via Distribution Transformation 2022 VLDB 6.5704964e-05
5,397 Order-Preserving Key Compression for In-Memory Search Trees 2020 SIGMOD 6.1490013e-05
5,537 Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices 2023 SIGMOD 6.0919359e-05
5,571 FILM: a Fully Learned Index for Larger-than-Memory Databases 2023 VLDB 6.080267e-05
6,274 A Critical Analysis of Recursive Model Indexes 2022 VLDB 5.8271888e-05
7,154 Adaptive Hybrid Indexes 2022 SIGMOD 5.597934e-05
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