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Making In-Memory Learned Indexes Efficient on Disk

Summary: Shows how to adapt in-memory learned indexes to disk via six generic transformations/optimizations tailored to storage behavior. The resulting indexes Pareto-dominate B+trees and prior disk learned indexes in throughput and space efficiency. (summarized by gpt-5.4-mini on May 24 2026)

Paper ID
h5331e06785d62d6a
Venue
SIGMOD
Year
2024
Pagerank
5.7136886e-05
Overall Rank
6,622 | 55.62%
DOI
10.1145/3654954

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod24,
        title = {{Making In-Memory Learned Indexes Efficient on Disk}},
        author = {Zhang, Jiaoyi and Su, Kai and Zhang, Huanchen},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3654954},
        url = {https://dl.acm.org/doi/10.1145/3654954},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 25 of 25 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 0.00046249672
61 Integrating Compression and Execution in Column-Oriented Database Systems 2006 SIGMOD 0.00039323387
427 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018429918
461 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00017835351
774 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.00014063511
834 Benchmarking Learned Indexes 2021 VLDB 0.00013539098
870 Learning Multi-dimensional Indexes 2020 SIGMOD 0.0001332034
964 Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes 2016 SIGMOD 0.00012798312
1,190 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00011564169
1,445 LISA: A Learned Index Structure for Spatial Data 2020 SIGMOD 0.00010607118
1,529 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010320909
1,884 Effectively Learning Spatial Indices 2020 VLDB 9.422145e-05
2,254 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 8.7429699e-05
2,590 Are Updatable Learned Indexes Ready? 2022 VLDB 8.2368464e-05
2,870 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 7.9033232e-05
2,881 Exploiting Directly-Attached NVMe Arrays in DBMS 2020 CIDR 7.8945474e-05
3,207 CDFShop: Exploring and Optimizing Learned Index Structures 2020 SIGMOD 7.5187675e-05
3,632 Learned Index: A Comprehensive Experimental Evaluation 2023 VLDB 7.1274345e-05
3,716 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.0541948e-05
3,816 ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA 2022 SIGMOD 6.9852219e-05
4,169 LeCo: Lightweight Compression via Learning Serial Correlations 2024 SIGMOD 6.7526687e-05
4,385 NFL: Robust Learned Index via Distribution Transformation 2022 VLDB 6.613814e-05
4,656 PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery 2023 VLDB 6.468994e-05
5,397 Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices 2023 SIGMOD 6.1347527e-05
5,421 FILM: a Fully Learned Index for Larger-than-Memory Databases 2023 VLDB 6.1231965e-05
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