QueryScope: Visualizing Queries for Repeatable Database Tuning
Summary: QueryScope visualizes SQL queries as graphs to enable repeatable tuning of complex workloads. The demonstration supports drill-down on individual queries and retrieval of similarly structured queries to surface tuning opportunities from real-world engagements. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ling Hu (Northeastern University)
- 2. Yuan-Chi Chang (International Business Machines T. J. Watson Research Center)
- 3. Christian A. Lang (International Business Machines T. J. Watson Research Center)
- 4. Kenneth A. Ross (Columbia University)
- 5. Donghui Zhang (Northeastern University)
BibTeX Citation
@article{hu_vldb08,
title = {{QueryScope: Visualizing Queries for Repeatable Database Tuning}},
author = {Hu, Ling and Chang, Yuan-Chi and Lang, Christian A. and Ross, Kenneth A. and Zhang, Donghui},
journal = {PVLDB},
series = {{VLDB} '08},
volume = {1},
number = {2},
pages = {1488--1491},
doi = {10.14778/1454159.1454209},
url = {https://doi.org/10.14778/1454159.1454209},
year = {2008}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,039 | Semi-Automatic Index Tuning: Keeping DBAs in the Loop | 2012 | VLDB | 6.9424878e-05 |
| 8,583 | Query Log Compression for Workload Analytics | 2019 | VLDB | 5.4079618e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 184 | DB2 Design Advisor: Integrated Automatic Physical Database Design | 2004 | VLDB | 0.00026256101 |
| 625 | Automatic Performance Diagnosis and Tuning in Oracle | 2005 | CIDR | 0.0001566968 |
| 768 | Automatic Physical Database Tuning: A Relaxation-based Approach | 2005 | SIGMOD | 0.00014173242 |
| 2,364 | To Tune or not to Tune? A Lightweight Physical Design Alerter | 2006 | VLDB | 8.6869645e-05 |
| 3,298 | Database Tuning: principles, experiments, and troubleshooting techniques | 2002 | SIGMOD | 7.5421438e-05 |
| 3,330 | A Formal Perspective on the View Selection Problem | 2001 | VLDB | 7.5139396e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,132 | Facilitating SQL Query Composition and Analysis | 2020 | SIGMOD |
| 2 | 10,834 | QOVIS: Understanding and Diagnosing Query Optimizer via a Visualization-assisted Approach | 2025 | VLDB |
| 3 | 7,448 | Interactive Plan Hints for Query Optimization | 2009 | SIGMOD |
| 4 | 3,478 | Stethoscope: A Platform for Interactive Visual Analysis of Query Execution Plans | 2012 | VLDB |
| 5 | 13,313 | PatternVis: A Tool for Relational Pattern Visualization | 2025 | SIGMOD |
| 6 | 4,864 | SeeDB: Automatically Generating Query Visualizations | 2014 | VLDB |
| 7 | 5,774 | DataScope: Viewing Database Contents in Google Maps' Way | 2007 | VLDB |
| 8 | 5,329 | SeeDB: Visualizing Database Queries Efficiently | 2014 | VLDB |
| 9 | 8,174 | Databases will Visualize Queries too | 2011 | VLDB |
| 10 | 4,721 | QueryVis: Logic-based Diagrams help Users Understand Complicated SQL Queries Faster | 2020 | SIGMOD |