Abstract
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.
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 3922-3925 |
| Seitenumfang | 4 |
| Fachzeitschrift | Proceedings of the VLDB Endowment |
| Jahrgang | 16 |
| Ausgabenummer | 12 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2023 |
| Veranstaltung | 49th International Conference on Very Large Data Bases, VLDB 2023 - Vancouver, Kanada Dauer: 28 Aug. 2023 → 1 Sept. 2023 |