On Self-Designing Learned Indexes

Summary: SELIX replaces fixed learned-index heuristics with a unified, compositional template spanning node layouts, conflict policies, and search strategies. Deep RL with meta-learning performs online workload-to-structure optimization, adapting rapidly to drift and outperforming prior learned indexes in memory and on disk. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID: h1d80e55468d589cb
Venue: SIGMOD
Year: 2026
Pagerank: 4.9793485e-05
Overall Rank: 10,489 | 29.48%
DOI: 10.1145/3802096

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Baofu Han (Southeast University)
2. Guoyu Hu (National University of Singapore)
3. Bing Li (Southeast University)
4. Xiaokui Xiao (National University of Singapore)
5. Zhanhao Zhao (National University of Singapore)
6. Beng Chin Ooi (Zhejiang University)

BibTeX Citation

@inproceedings{han_sigmod26,
        title = {{On Self-Designing Learned Indexes}},
        author = {Han, Baofu and Hu, Guoyu and Li, Bing and Xiao, Xiaokui and Zhao, Zhanhao and Ooi, Beng Chin},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3802096},
        url = {https://dl.acm.org/doi/10.1145/3802096},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,484	NeurBench: A Benchmark Suite for Learned Database Components with Drift Modeling: [Experiments & Analysis]	2026	SIGMOD	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 29 of 29 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
206	Generalized Search Trees for Database Systems (Extended Abstract)	1995	VLDB	0.00024986675
253	Database Cracking	2007	CIDR	0.00023042111
314	An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning	2019	SIGMOD	0.00021282642
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
1,199	Balsa: Learning a Query Optimizer Without Expert Demonstrations	2022	SIGMOD	0.00011563985
1,320	Building a Bw-Tree Takes More Than Just Buzz Words	2018	SIGMOD	0.00011045319
1,397	Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms	2020	VLDB	0.00010789242
1,550	Updatable Learned Index with Precise Positions	2021	VLDB	0.00010282449
1,605	The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models	2018	SIGMOD	0.00010093796
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
3,697	Learned Index: A Comprehensive Experimental Evaluation	2023	VLDB	7.0882335e-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
5,537	Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices	2023	SIGMOD	6.0919359e-05
6,821	Making In-Memory Learned Indexes Efficient on Disk	2024	SIGMOD	5.6720444e-05
7,018	SALI: A Scalable Adaptive Learned Index Framework based on Probability Models	2023	SIGMOD	5.619958e-05
7,710	The next 50 Years in Database Indexing or: The Case for Automatically Generated Index Structures	2022	VLDB	5.4713723e-05
8,258	The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual”	2021	VLDB	5.3671363e-05
8,385	NeurDB: On the Design and Implementation of an AI-powered Autonomous Database	2025	CIDR	5.3420959e-05
8,753	A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach	2025	SIGMOD	5.2846898e-05
8,873	Why Are Learned Indexes So Effective but Sometimes Ineffective?	2025	VLDB	5.2582842e-05
9,777	Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis]	2026	SIGMOD	5.1314952e-05
9,790	Wii: Dynamic Budget Reallocation In Index Tuning	2024	SIGMOD	5.1260323e-05

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#	Overall Rank	Paper	Year	Venue
1	2,277	FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems	2022	VLDB
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