Optimizing Queries Using Materialized Views: A Practical, Scalable Solution
Summary: Fast, scalable algorithm to decide when a query can use materialized views (selections, joins, final group-by), integrated into transformation-based optimizers. Fully cost-based, it generates multiple rewrites and picks the best; SQL Server experiments show strong performance and scalability. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jonathan Goldstein (Microsoft)
- 2. Per-Åke Larson (Microsoft)
BibTeX Citation
@inproceedings{goldstein_sigmod01,
title = {{Optimizing Queries Using Materialized Views: A Practical, Scalable Solution}},
author = {Goldstein, Jonathan and Larson, Per-Åke},
series = {{SIGMOD} '01},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/375663.375706},
url = {https://dl.acm.org/doi/10.1145/375663.375706},
year = {2001}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 53 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,546 | Towards a Converged Relational-Graph Optimization Framework | 2024 | SIGMOD | 4.9793485e-05 |
| 12,227 | Data Citation: Giving Credit Where Credit is Due | 2018 | SIGMOD | 4.9793485e-05 |
| 12,386 | Raising Authorization Awareness in a DBMS | 2015 | CIDR | 4.9793485e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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