Adaptive Optimizations of Recursive Queries in Teradata
Summary: Adaptive optimization for Teradata recursive queries. Proposes a hybrid of multi-iteration pre-planning and dynamic feedback, avoiding static plans and full-feedback costs, enabling inter-iteration optimization for ANSI SQL recursive queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ahmad Ghazal (Teradata)
- 2. Dawit Seid (Teradata)
- 3. Alain Crolotte (Teradata)
- 4. Mohammed Al-Kateb (Teradata)
BibTeX Citation
@inproceedings{ghazal_sigmod12,
title = {{Adaptive Optimizations of Recursive Queries in Teradata}},
author = {Ghazal, Ahmad and Seid, Dawit and Crolotte, Alain and Al-Kateb, Mohammed},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213966},
url = {https://dl.acm.org/doi/10.1145/2213836.2213966},
year = {2012}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,872 | All-in-One: Graph Processing in RDBMSs Revisited | 2017 | SIGMOD | 7.0580243e-05 |
| 4,078 | Asynchronous and Fault-Tolerant Recursive Datalog Evaluation in Shared-Nothing Engines | 2015 | VLDB | 6.9209348e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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