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QueryVis: Logic-based Diagrams help Users Understand Complicated SQL Queries Faster

Summary: QueryVis encodes SQL semantics in logic-based diagrams for nested queries, yielding minimal, unambiguous visuals. A 42-participant MTurk study shows faster interpretation and fewer errors with diagrams than with SQL after a brief tutorial. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5982
Venue
SIGMOD
Year
2020
Pagerank
5.4999397e-05
Overall Rank
5,452 | 62.08%
DOI
10.1145/3318464.3389767

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Showing 13 of 13 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
257 Making Database Systems Usable 2007 SIGMOD 0.00030223397
307 Extensible Query Processing in Starburst 1989 SIGMOD 0.00028211308
711 A Case for A Collaborative Query Management System 2009 CIDR 0.00017751589
2,035 Generating Example Data for Dataflow Programs 2009 SIGMOD 9.7149269e-05
3,093 SQL QueRIE Recommendations 2010 VLDB 7.5782293e-05
4,599 Playful Query Specification with DataPlay 2012 VLDB 6.0583418e-05
6,371 DBMSs Should Talk Back Too 2009 CIDR 5.0930594e-05
6,855 DBease: Making Databases User-friendly and Easily Accessible 2011 CIDR 4.9062505e-05
8,111 Databases will Visualize Queries too* 2011 VLDB 4.5842786e-05
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