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: 4.9605343e-05
Overall Rank: 10,566 | 29.18%
DOI: 10.1145/3802096
PDF: Download (CC BY 4.0)

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
10,561	NeurBench: A Benchmark Suite for Learned Database Components with Drift Modeling: [Experiments & Analysis]	2026	SIGMOD	4.9605343e-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	0.00046249672
142	Neo: A Learned Query Optimizer	2019	VLDB	0.00029114937
210	Generalized Search Trees for Database Systems (Extended Abstract)	1995	VLDB	0.00024910589
253	Database Cracking	2007	CIDR	0.00023037921
309	An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning	2019	SIGMOD	0.0002143249
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
1,175	Balsa: Learning a Query Optimizer Without Expert Demonstrations	2022	SIGMOD	0.00011630532
1,328	Building a Bw-Tree Takes More Than Just Buzz Words	2018	SIGMOD	0.00011013165
1,400	Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms	2020	VLDB	0.00010759064
1,529	Updatable Learned Index with Precise Positions	2021	VLDB	0.00010320909
1,611	The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models	2018	SIGMOD	0.00010066379
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
3,632	Learned Index: A Comprehensive Experimental Evaluation	2023	VLDB	7.1274345e-05
4,385	NFL: Robust Learned Index via Distribution Transformation	2022	VLDB	6.613814e-05
4,389	DILI: A Distribution-Driven Learned Index	2023	VLDB	6.6111249e-05
5,397	Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices	2023	SIGMOD	6.1347527e-05
6,622	Making In-Memory Learned Indexes Efficient on Disk	2024	SIGMOD	5.7136886e-05
6,802	SALI: A Scalable Adaptive Learned Index Framework based on Probability Models	2023	SIGMOD	5.6623052e-05
7,727	The next 50 Years in Database Indexing or: The Case for Automatically Generated Index Structures	2022	VLDB	5.4518367e-05
8,050	NeurDB: On the Design and Implementation of an AI-powered Autonomous Database	2025	CIDR	5.3839177e-05
8,274	The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual”	2021	VLDB	5.3477381e-05
8,782	A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach	2025	SIGMOD	5.2647219e-05
8,903	Why Are Learned Indexes So Effective but Sometimes Ineffective?	2025	VLDB	5.238416e-05
9,814	Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis]	2026	SIGMOD	5.1121061e-05
9,829	Wii: Dynamic Budget Reallocation In Index Tuning	2024	SIGMOD	5.1066866e-05

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1	2,254	FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems	2022	VLDB
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