Journal
PROCEEDINGS OF THE VLDB ENDOWMENT
Volume 16, Issue 12, Pages 3922-3925Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.14778/3611540.3611586
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This paper introduces QO-Insight, a visual tool designed for exploring query execution traces of steered query optimizers. It empowers database administrators and experts to gain qualitative insights and enhance performance through visual inspection and analysis.
Steered query optimizers address the planning mistakes of traditional query optimizers by providing them with hints on a per-query basis, thereby guiding them in the right direction. This paper introduces QO-Insight, a visual tool designed for exploring query execution traces of such steered query optimizers. Although steered query optimizers are typically perceived as black boxes, QO-Insight empowers database administrators and experts to gain qualitative insights and enhance their performance through visual inspection and analysis.
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