PIQL: A Performance Insightful Query Language
Summary: PIQL targets web-scale workloads by layering a declarative query language over distributed key-value stores. It expresses common website queries with guaranteed I/O bounds, delivering predictable performance and reducing the need for onerous explicit indexing and imperative lookups. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Michael Armbrust (University of California Berkeley)
- 2. Stephen Tu (University of California Berkeley)
- 3. Armando Fox (University of California Berkeley)
- 4. Michael J. Franklin (University of California Berkeley)
- 5. David A. Patterson (University of California Berkeley)
- 6. Nick Lanham (University of California Berkeley)
- 7. Beth Trushkowsky (University of California Berkeley)
- 8. Jesse Trutna (University of California Berkeley)
BibTeX Citation
@inproceedings{armbrust_sigmod10,
title = {{PIQL: A Performance Insightful Query Language}},
author = {Armbrust, Michael and Tu, Stephen and Fox, Armando and Franklin, Michael J. and Patterson, David A. and Lanham, Nick and Trushkowsky, Beth and Trutna, Jesse},
series = {{SIGMOD} '10},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1807167.1807320},
url = {https://dl.acm.org/doi/10.1145/1807167.1807320},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 90 | CrowdDB: Answering Queries with Crowdsourcing | 2011 | SIGMOD | 0.00034951786 |
| 11,867 | Block as a Value for SQL over NoSQL | 2019 | VLDB | 5.093636e-05 |
| 11,990 | BEAS: Bounded Evaluation of SQL Queries | 2017 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,635 | SCADS: Scale-Independent Storage for Social Computing Applications | 2009 | CIDR | 0.00010158805 |
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