AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Summary: Replaces optimizer-cost plan comparison in index tuning with an ML classifier predicting cheaper plans across configs. Integrates with advanced tuners, delivering up to 5x fewer errors on benchmarks and real workloads, reducing cost regressions. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bailu Ding (Microsoft)
- 2. Sudipto Das (Microsoft)
- 3. Ryan Marcus (Brandeis University; Microsoft)
- 4. Wentao Wu (Microsoft)
- 5. Surajit Chaudhuri (Microsoft)
- 6. Vivek R. Narasayya (Microsoft)
BibTeX Citation
@inproceedings{ding_sigmod19,
title = {{AI Meets AI: Leveraging Query Executions to Improve Index Recommendations}},
author = {Ding, Bailu and Das, Sudipto and Marcus, Ryan and Wu, Wentao and Chaudhuri, Surajit and Narasayya, Vivek R.},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3324957},
url = {https://dl.acm.org/doi/10.1145/3299869.3324957},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 58 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,513 | LIO: A lightweight and interpretable query optimizer based on an evolutionary forest | 2026 | VLDB | 5.093636e-05 |
| 10,586 | TATA: An Efficient Framework for Task Transfer in Query Plan Representation | 2026 | VLDB | 5.093636e-05 |
| 10,815 | Esc: An Early-Stopping Checker for Budget-aware Index Tuning | 2025 | VLDB | 5.093636e-05 |
| 11,003 | Automatic Indexing in Oracle | 2025 | VLDB | 5.093636e-05 |
| 11,019 | SQL:Trek Automated Index Design at Airbnb | 2025 | VLDB | 5.093636e-05 |
| 11,083 | Graph Transformers for Query Plan Representation: Potentials and Challenges | 2025 | VLDB | 5.093636e-05 |
| 11,391 | Regularized Pairwise Relationship based Analytics for Structured Data | 2023 | SIGMOD | 5.093636e-05 |
| 11,436 | AdaChain: A Learned Adaptive Blockchain | 2023 | VLDB | 5.093636e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 34 of 34 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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