Optimizing Complex Queries with Multiple Relation Instances
Summary: MAPLE enables SharedScan: multiple instances of the same relation share one physical scan. Interleaved execution with drainers caps buffers; a cost-based planner maximizes sharing while avoiding deadlocks; implemented in PostgreSQL with TPC-DS gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yu Cao (National University of Singapore)
- 2. Gopal C. Das (National University of Singapore)
- 3. Chee-Yong Chan (National University of Singapore)
- 4. Kian-Lee Tan (National University of Singapore)
BibTeX Citation
@inproceedings{cao_sigmod08,
title = {{Optimizing Complex Queries with Multiple Relation Instances}},
author = {Cao, Yu and Das, Gopal C. and Chan, Chee-Yong and Tan, Kian-Lee},
series = {{SIGMOD} '08},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1376616.1376671},
url = {https://dl.acm.org/doi/10.1145/1376616.1376671},
year = {2008}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,706 | Major Technical Advancements in Apache Hive | 2014 | SIGMOD | 8.2287564e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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