The next 50 Years in Database Indexing or: The Case for Automatically Generated Index Structures
Summary: GENE: a generic genetic index generation framework that automatically breeds index structures from building blocks, invariants, and layouts. Given a workload, it can assemble and mutate indices, potentially matching or surpassing handcrafted designs and reframing indexing as automatic, data-driven design. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jens Dittrich
- 2. Joris Nix
- 3. Christian Schön
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,074 | Learned Index: A Comprehensive Experimental Evaluation | 2023 | VLDB | 5.7175726e-05 |
| 9,903 | Towards Systematic Index Dynamization | 2024 | VLDB | 4.258022e-05 |
| 11,007 | Breathing New Life into An Old Tree: Resolving Logging Dilemma of B+-tree on Modern Computational Storage Drives | 2024 | VLDB | 4.1945683e-05 |
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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.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,375 | FITing-Tree: A Data-aware Index Structure | 2019 | SIGMOD | 0.00012303141 |
| 5,074 | Learned Index: A Comprehensive Experimental Evaluation | 2023 | VLDB | 5.7175726e-05 |
| 875 | Algorithms for Creating Indexes for Very Large Tables Without Quiescing Updates | 1992 | SIGMOD | 0.00015719411 |
| 7,779 | Index Research: Forest or Trees? | 2000 | SIGMOD | 4.6535251e-05 |
| 1,460 | Benchmarking Learned Indexes | 2021 | VLDB | 0.00011887068 |
| 6,708 | Just-In-Time Data Structures | 2015 | CIDR | 4.953106e-05 |
| 9,903 | Towards Systematic Index Dynamization | 2024 | VLDB | 4.258022e-05 |
| 5,328 | An Evaluation of Generic Bulk Loading Techniques | 2001 | VLDB | 5.5665496e-05 |
| 8,474 | Adaptive Index Structures | 2002 | VLDB | 4.5029015e-05 |
| 102 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00049545203 |