HaDA: Empower Database Experts with Data Dependencies
Summary: HaDA combines workload-driven dependency discovery with expert validation, filtering spurious, modification-sensitive dependencies before optimizer use. Its SAP HANA Cloud assistant exposes dependency-enriched plans, performance impact, and query hints, enabling supervised production tuning. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Daniel Lindner (Hasso Plattner Institute)
- 2. Jonas Baltruschat (Hasso Plattner Institute)
- 3. Kisung Park (SAP)
- 4. Taehyung Lee (SAP)
- 5. Heesik Shin (SAP)
- 6. Daniel Ritter (SAP)
- 7. Felix Naumann (Hasso Plattner Institute)
BibTeX Citation
@article{lindner_vldb26,
title = {{HaDA: Empower Database Experts with Data Dependencies}},
author = {Lindner, Daniel and Baltruschat, Jonas and Park, Kisung and Lee, Taehyung and Shin, Heesik and Ritter, Daniel and Naumann, Felix},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4502--4505},
doi = {10.14778/3827998.3828050},
url = {https://doi.org/10.14778/3827998.3828050},
year = {2026}
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,869 | Leveraging Application Data Constraints to Optimize Database-Backed Web Applications | 2023 | VLDB | 5.9648445e-05 |
| 8,851 | Workload-driven, Lazy Discovery of Data Dependencies for Query Optimization | 2022 | CIDR | 5.2644901e-05 |
| 9,536 | SAP HANA Cloud: Data Management for Modern Enterprise Applications | 2025 | SIGMOD | 5.1631101e-05 |
| 9,958 | Discovering Functional Dependencies through Hitting Set Enumeration | 2024 | SIGMOD | 5.1038322e-05 |
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