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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)
- Paper ID
- 4599
- Venue
- SIGMOD
- Year
- 2012
- Pagerank
- 9.2191212e-05
- Overall Rank
- 2,241 | 84.42%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 18 of 18 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,977 |
Split Query Processing in Polybase |
2013 |
SIGMOD |
9.8824589e-05 |
| 2,249 |
Orca: A Modular Query Optimizer Architecture for Big Data |
2014 |
SIGMOD |
9.2034693e-05 |
| 2,545 |
POLARIS: The Distributed SQL Engine in Azure Synapse |
2020 |
VLDB |
8.5725413e-05 |
| 3,154 |
The MemSQL Query Optimizer: A modern optimizer for real-time analytics in a distributed database |
2016 |
VLDB |
7.4686089e-05 |
| 4,128 |
Are Updatable Learned Indexes Ready? |
2022 |
VLDB |
6.4292373e-05 |
| 5,092 |
The Case for Network-Accelerated Query Processing |
2019 |
CIDR |
5.7027353e-05 |
| 7,205 |
Unified Query Optimization in the Fabric Data Warehouse |
2024 |
SIGMOD |
4.8014977e-05 |
| 8,231 |
FusionInsight LibrA: Huawei’s Enterprise Cloud Data Analytics Platform |
2018 |
VLDB |
4.5539609e-05 |
| 8,401 |
Toward Progress Indicators on Steroids for Big Data Systems |
2013 |
CIDR |
4.5250912e-05 |
| 8,483 |
Optimization of Common Table Expressions in MPP Database Systems |
2015 |
VLDB |
4.5008949e-05 |
| 8,519 |
Extending Polaris to Support Transactions |
2024 |
SIGMOD |
4.494088e-05 |
| 8,792 |
Database Optimization for the Cloud: Where Costs, Partial Results, and Consumer Choice Meet |
2015 |
CIDR |
4.4506724e-05 |
| 9,734 |
Reliability Analytics for Cloud Based Distributed Databases |
2020 |
SIGMOD |
4.2942813e-05 |
| 9,840 |
Rapid Adoption of Cloud Data Warehouse Technology Using Datometry Hyper-Q |
2018 |
SIGMOD |
4.2739372e-05 |
| 11,084 |
Presto’s History-based Query Optimizer |
2024 |
VLDB |
4.1945683e-05 |
| 11,339 |
Redundancy Elimination in Distributed Matrix Computation |
2022 |
SIGMOD |
4.1945683e-05 |
| 11,588 |
A Framework for Emulating Database Operations in Cloud Data Warehouses |
2020 |
SIGMOD |
4.1945683e-05 |
| 12,061 |
Designing Query Optimizers for Big Data Problems of The Future |
2013 |
VLDB |
4.1945683e-05 |
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.
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