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FILM: a Fully Learned Index for Larger-than-Memory Databases

Summary: FILM: a fully learned tree index for larger-than-memory DBs using tiny approximation models to index across memory+disk, reducing in-memory index size by orders of magnitude versus anti-caching. An adaptive LRU piggybacked on queries avoids swap overhead, improving query latency and insertion performance. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h97b8cc3266aedc7d
Venue
VLDB
Year
2023
Pagerank
6.080267e-05
Overall Rank
5,571 | 62.55%
DOI
10.14778/3570690.3570704

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ma_vldb23,
        title = {{FILM: a Fully Learned Index for Larger-than-Memory Databases}},
        author = {Ma, Chaohong and Yu, Xiaohui and Li, Yifan and Meng, Xiaofeng and Maoliniyazi, Aishan},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {3},
        pages = {561--573},
        doi = {10.14778/3570690.3570704},
        url = {https://doi.org/10.14778/3570690.3570704},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 22 of 22 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
234 TiDB: A Raft-based HTAP Database 2020 VLDB 0.00023765806
318 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021167555
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
636 ERMIA: Fast Memory-Optimized Database System for Heterogeneous Workloads 2016 SIGMOD 0.00015360975
728 Anti-Caching: A New Approach to Database Management System Architecture 2013 VLDB 0.00014414001
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
906 Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation 2016 SIGMOD 0.00013160654
971 Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes 2016 SIGMOD 0.00012766019
1,321 Hybrid Transactional/Analytical Processing: A Survey 2017 SIGMOD 0.00011040617
1,446 LISA: A Learned Index Structure for Spatial Data 2020 SIGMOD 0.00010629222
1,510 BF-Tree: Approximate Tree Indexing 2014 VLDB 0.00010438563
1,524 Trekking Through Siberia: Managing Cold Data in a Memory-Optimized Database 2014 VLDB 0.00010356318
1,550 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010282449
1,878 Effectively Learning Spatial Indices 2020 VLDB 9.4451309e-05
2,277 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 8.7075835e-05
2,922 Parallel Replication across Formats in SAP HANA for Scaling Out Mixed OLTP/OLAP Workloads 2017 VLDB 7.8519075e-05
2,997 F1 Lightning: HTAP as a Service 2020 VLDB 7.7689996e-05
6,819 Liquid: Unifying Nearline and Offline Big Data Integration 2015 CIDR 5.672617e-05
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