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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
- 10253
- Venue
- VLDB
- Year
- 2011
- Pagerank
- 0.00014644808
- Overall Rank
- 1,010 | 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 |
0.00013531301 |
| 1,456 |
Query From Examples: An Iterative, Data-Driven Approach to Query Construction |
2015 |
VLDB |
0.00011891284 |
| 2,959 |
SQLShare: Results from a Multi-Year SQL-as-a-Service Experiment |
2016 |
SIGMOD |
7.8116974e-05 |
| 3,192 |
Gestural Query Specification |
2014 |
VLDB |
7.4085087e-05 |
| 3,254 |
Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks |
2020 |
SIGMOD |
7.3172324e-05 |
| 3,662 |
Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity |
2019 |
VLDB |
6.8647421e-05 |
| 4,199 |
Meet Charles, big data query advisor |
2013 |
CIDR |
6.3618577e-05 |
| 4,540 |
Automating Exploratory Data Analysis via Machine Learning: An Overview |
2020 |
SIGMOD |
6.0978937e-05 |
| 4,547 |
Database-Agnostic Workload Management |
2019 |
CIDR |
6.0904384e-05 |
| 4,635 |
Mining Precision Interfaces From Query Logs |
2019 |
SIGMOD |
6.0275975e-05 |
| 4,825 |
Querying Without Keyboards |
2013 |
CIDR |
5.889464e-05 |
| 5,481 |
Guided Exploration of User Groups |
2020 |
VLDB |
5.483544e-05 |
| 5,524 |
Facilitating SQL Query Composition and Analysis |
2020 |
SIGMOD |
5.4589341e-05 |
| 5,796 |
REACT: Context-Sensitive Recommendations for Data Analysis |
2016 |
SIGMOD |
5.3233294e-05 |
| 7,809 |
Sibyl: Forecasting Time-Evolving Query Workloads |
2024 |
SIGMOD |
4.6415559e-05 |
| 8,175 |
NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews |
2021 |
VLDB |
4.5638044e-05 |
| 8,360 |
Query Log Compression for Workload Analytics |
2019 |
VLDB |
4.5314883e-05 |
| 8,388 |
FEDEX: An Explainability Framework for Data Exploration Steps |
2022 |
VLDB |
4.525436e-05 |
| 9,381 |
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations |
2024 |
SIGMOD |
4.343902e-05 |
| 9,695 |
The Data Interaction Game |
2018 |
SIGMOD |
4.298211e-05 |
| 9,829 |
Towards Autonomous, Hands-Free Data Exploration |
2020 |
CIDR |
4.2710095e-05 |
| 11,466 |
PyExplore: Query Recommendations for Data Exploration without Query Logs |
2021 |
SIGMOD |
4.1905499e-05 |
| 11,762 |
Constraint-based Explanation and Repair of Filter-based Transformations |
2018 |
VLDB |
4.1905499e-05 |
| 11,804 |
A Declarative Query Processing System for Nowcasting |
2017 |
VLDB |
4.1905499e-05 |
| 11,957 |
Big Data Research: Will Industry Solve all the Problems? |
2015 |
VLDB |
4.1905499e-05 |
| 12,058 |
The Power of Data Use Management in Action |
2013 |
SIGMOD |
4.1905499e-05 |
| 12,092 |
Fast Cartography for Data Explorers |
2013 |
VLDB |
4.1905499e-05 |
| 12,132 |
Auto-Completion Learning for XML |
2012 |
SIGMOD |
4.1905499e-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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| Overall Rank |
Paper |
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Pagerank |
| 7,634 |
ReStore - Neural Data Completion for Relational Databases |
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SIGMOD |
4.6866388e-05 |
| 5,554 |
PATSQL: Efficient Synthesis of SQL Queries from Example Tables with Quick Inference of Projected Columns |
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VLDB |
5.4410603e-05 |
| 1,731 |
CatSQL: Towards Real World Natural Language to SQL Applications |
2023 |
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AutoG: A Visual Query Autocompletion Framework for Graph Databases |
2016 |
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4.7716651e-05 |
| 6,587 |
SnapToQuery: Providing Interactive Feedback during Exploratory Query Specification |
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4.9972702e-05 |
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PreQR: Pre-training Representation for SQL Understanding |
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SIGMOD |
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| 5,524 |
Facilitating SQL Query Composition and Analysis |
2020 |
SIGMOD |
5.4589341e-05 |
| 9,219 |
SQuID: Semantic Similarity-Aware Query Intent Discovery |
2018 |
SIGMOD |
4.3672182e-05 |