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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)

Paper ID
h5cf9c7936e5142af
Venue
VLDB
Year
2008
Pagerank
5.5793e-05
Overall Rank
7,231 | 51.39%
DOI
10.14778/1454159.1454209

Incoming Non-self Citations Over Time

Authors

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
4,058 Semi-Automatic Index Tuning: Keeping DBAs in the Loop 2012 VLDB 6.8257215e-05
8,638 Query Log Compression for Workload Analytics 2019 VLDB 5.2978746e-05
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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.

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