Split Query Processing in Polybase
Summary: Polybase uses split query processing to push SQL operators on HDFS data into MapReduce jobs on Hadoop via PDW optimizer. A cost-based planner weighs selectivity, sizes, and co-location to decide pushdown; SQL–Java semantics must be reconciled. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. David J. DeWitt (Microsoft)
- 2. Alan Halverson (Microsoft)
- 3. Rimma Nehme (Microsoft)
- 4. Srinath Shankar (Microsoft)
- 5. Josep Aguilar-Saborit (Microsoft)
- 6. Artin Avanes (Microsoft)
- 7. Miro Flasza (Microsoft)
- 8. Jim Gramling (Microsoft)
BibTeX Citation
@inproceedings{dewitt_sigmod13,
title = {{Split Query Processing in Polybase}},
author = {DeWitt, David J. and Halverson, Alan and Nehme, Rimma and Shankar, Srinath and Aguilar-Saborit, Josep and Avanes, Artin and Flasza, Miro and Gramling, Jim},
series = {{SIGMOD} '13},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2463676.2463709},
url = {https://dl.acm.org/doi/10.1145/2463676.2463709},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
Showing 21 of 21 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 759 | Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs | 2011 | VLDB | 0.00014194746 |
| 2,025 | Query Optimization in Microsoft SQL Server PDW | 2012 | SIGMOD | 9.1520946e-05 |
| 2,187 | Efficient Processing of Data Warehousing Queries in a Split Execution Environment | 2011 | SIGMOD | 8.8889656e-05 |
| 3,831 | Integrating Hadoop and Parallel DBMS | 2010 | SIGMOD | 6.9765502e-05 |
| 6,435 | A Hadoop Based Distributed Loading Approach to Parallel Data Warehouses | 2011 | SIGMOD | 5.7683188e-05 |
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