SnipSuggest: Context-Aware Autocompletion for SQL
Summary: SnipSuggest offers interactive, clause-aware SQL autocompletion by retrieving query snippets from logs and refining recommendations as context accumulates. It supports diverse clauses and subqueries, achieving up to 93.7% precision and outperforming popularity-based baselines. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nodira Khoussainova (University of Washington)
- 2. YongChul Kwon (University of Washington)
- 3. Magdalena Balazinska (University of Washington)
- 4. Dan Suciu (University of Washington)
BibTeX Citation
@article{khoussainova_vldb11,
title = {{SnipSuggest: Context-Aware Autocompletion for SQL}},
author = {Khoussainova, Nodira and Kwon, YongChul and Balazinska, Magdalena and Suciu, Dan},
journal = {PVLDB},
series = {{VLDB} '11},
volume = {4},
number = {1},
pages = {22},
doi = {10.14778/1880172.1880175},
url = {https://doi.org/10.14778/1880172.1880175},
year = {2011}
}
Incoming Citations (Sorted by Pagerank)
Showing 28 of 28 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 |
|---|---|---|---|---|
| 314 | Making Database Systems Usable | 2007 | SIGMOD | 0.00021574636 |
| 1,305 | Assisted Querying using Instant-Response Interfaces | 2007 | SIGMOD | 0.00011235196 |
| 1,532 | Summarizing Relational Databases | 2009 | VLDB | 0.00010472227 |
| 1,844 | Probabilistic Ranking of Database Query Results | 2004 | VLDB | 9.6314187e-05 |
| 2,176 | Effective Phrase Prediction | 2007 | VLDB | 9.0172465e-05 |
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