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SnipSuggest: Context-Aware Autocompletion for SQL
Summary: SnipSuggest offers context-aware SQL autocompletion by proposing clause-level snippets (FROM, SELECT, WHERE, GROUP BY, aggregates, subqueries) from past queries. Adaptive and fast, it reaches up to 93.7% precision and outperforms naive baselines on class and SDSS workloads.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 10252
- Venue
- VLDB
- Year
- 2011
- Pagerank
- 0.00014653644
- Overall Rank
- 1,009 | 92.99%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 28 of 28 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,168 |
SODA: Generating SQL for Business Users |
2012 |
VLDB |
0.00013541143 |
| 1,459 |
Query From Examples: An Iterative, Data-Driven Approach to Query Construction |
2015 |
VLDB |
0.00011889802 |
| 2,965 |
SQLShare: Results from a Multi-Year SQL-as-a-Service Experiment |
2016 |
SIGMOD |
7.8059273e-05 |
| 3,188 |
Gestural Query Specification |
2014 |
VLDB |
7.4117439e-05 |
| 3,252 |
Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks |
2020 |
SIGMOD |
7.3178277e-05 |
| 3,661 |
Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity |
2019 |
VLDB |
6.8689912e-05 |
| 4,201 |
Meet Charles, big data query advisor |
2013 |
CIDR |
6.3639451e-05 |
| 4,540 |
Automating Exploratory Data Analysis via Machine Learning: An Overview |
2020 |
SIGMOD |
6.1033443e-05 |
| 4,549 |
Database-Agnostic Workload Management |
2019 |
CIDR |
6.0926728e-05 |
| 4,635 |
Mining Precision Interfaces From Query Logs |
2019 |
SIGMOD |
6.033398e-05 |
| 4,834 |
Querying Without Keyboards |
2013 |
CIDR |
5.8912496e-05 |
| 5,472 |
Guided Exploration of User Groups |
2020 |
VLDB |
5.4888146e-05 |
| 5,473 |
Facilitating SQL Query Composition and Analysis |
2020 |
SIGMOD |
5.4885366e-05 |
| 5,785 |
REACT: Context-Sensitive Recommendations for Data Analysis |
2016 |
SIGMOD |
5.3284468e-05 |
| 8,131 |
Sibyl: Forecasting Time-Evolving Query Workloads |
2024 |
SIGMOD |
4.5784634e-05 |
| 8,174 |
NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews |
2021 |
VLDB |
4.568186e-05 |
| 8,364 |
Query Log Compression for Workload Analytics |
2019 |
VLDB |
4.5357797e-05 |
| 8,388 |
FEDEX: An Explainability Framework for Data Exploration Steps |
2022 |
VLDB |
4.5297787e-05 |
| 9,371 |
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations |
2024 |
SIGMOD |
4.3480692e-05 |
| 9,696 |
The Data Interaction Game |
2018 |
SIGMOD |
4.3023337e-05 |
| 9,830 |
Towards Autonomous, Hands-Free Data Exploration |
2020 |
CIDR |
4.2751057e-05 |
| 11,463 |
PyExplore: Query Recommendations for Data Exploration without Query Logs |
2021 |
SIGMOD |
4.1945683e-05 |
| 11,754 |
Constraint-based Explanation and Repair of Filter-based Transformations |
2018 |
VLDB |
4.1945683e-05 |
| 11,796 |
A Declarative Query Processing System for Nowcasting |
2017 |
VLDB |
4.1945683e-05 |
| 11,949 |
Big Data Research: Will Industry Solve all the Problems? |
2015 |
VLDB |
4.1945683e-05 |
| 12,050 |
The Power of Data Use Management in Action |
2013 |
SIGMOD |
4.1945683e-05 |
| 12,084 |
Fast Cartography for Data Explorers |
2013 |
VLDB |
4.1945683e-05 |
| 12,124 |
Auto-Completion Learning for XML |
2012 |
SIGMOD |
4.1945683e-05 |
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.
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| 5,544 |
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| 1,732 |
CatSQL: Towards Real World Natural Language to SQL Applications |
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AutoG: A Visual Query Autocompletion Framework for Graph Databases |
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SQuID: Semantic Similarity-Aware Query Intent Discovery |
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