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QO-Insight: Inspecting Steered Query Optimizers

Summary: Presents QO-Insight, a visual analytics tool for exploring execution traces of steered query optimizers that accept per-query hints to correct planner mistakes. Enables DBAs to open the black box, qualitatively diagnose steering effects and improve steering strategies. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13229
Venue
VLDB
Year
2023
Pagerank
4.299267e-05
Overall Rank
9,710 | 32.45%
DOI
10.14778/3611540.3611586

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
5,640 AutoSteer: Learned Query Optimization for Any SQL Database 2023 VLDB 5.3933314e-05
10,568 QOVIS: Understanding and Diagnosing Query Optimizer via a Visualization-assisted Approach 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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