Query Optimization in Microsoft SQL Server PDW
Summary: Introduces the PDW QO, a cost-based distributed optimizer for MPP SQL Server PDW. Leverages existing QO tech via metadata abstraction to explore a rich space of distributed plans with a dedicated cost model, instead of naive parallelization of a serial plan. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Srinath Shankar (Microsoft)
- 2. Rimma Nehme (Microsoft)
- 3. Josep Aguilar-Saborit (Microsoft)
- 4. Andrew Chung (Microsoft)
- 5. Mostafa Elhemali (Microsoft)
- 6. Alan Halverson (Microsoft)
- 7. Eric Robinson (Microsoft)
- 8. Mahadevan Sankara Subramanian (Microsoft)
- 9. David DeWitt (Microsoft)
- 10. César Galindo-Legaria (Microsoft)
BibTeX Citation
@inproceedings{shankar_sigmod12,
title = {{Query Optimization in Microsoft SQL Server PDW}},
author = {Shankar, Srinath and Nehme, Rimma and Aguilar-Saborit, Josep and Chung, Andrew and Elhemali, Mostafa and Halverson, Alan and Robinson, Eric and Subramanian, Mahadevan Sankara and DeWitt, David and Galindo-Legaria, César},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213953},
url = {https://dl.acm.org/doi/10.1145/2213836.2213953},
year = {2012}
}Incoming Citations (Sorted by Pagerank)
Showing 18 of 18 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,604 | The Picasso Database Query Optimizer Visualizer | 2010 | VLDB | 0.00010230973 |
| 1,852 | Automated Partitioning Design in Parallel Database Systems | 2011 | SIGMOD | 9.6134443e-05 |
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