Learned Query Optimization (LQO) has emerged as a promising paradigm for improving database performance, with reported speedups of 2× to over 10× on standard benchmarks. Existing evaluations, however, remain largely latency-centric and leave the energy debt from data collection, model training, and online inference l...
Zi-Bo Liang, Quan-Qing Xu, Xu Chen et al.· Proceedings of the ACM on Ma...· 0 citations
DBAgent is presented, an autonomous agent for Huawei Cloud Data Warehouse Service (DWS) integrated with Autopilot (DWS's production monitoring, alerting, and auto-remediation service) that consumes DWS telemetry and Autopilot alerts and produces evidence-grounded reports with low hallucination on DWS benchmark.
Xu Chen, Jun-Ming Chen, Shuncheng Liu et al.· Proceedings of the VLDB Endo...· 0 citations
DBA-Bench is presented, a benchmark addressing four gaps between evaluation and production operations: live-environment fidelity, outcome-first evaluation, and controlled scenario reproducibility, which uses instrumented PostgreSQL environments with active workloads, persistent state, and multi-source observations.
Experience Memory Graph is proposed, a framework that reformulates agent failure recovery as a graph matching problem and consistently outperforms state-of-the-art reflection baselines in success rate and average reward, while requiring no test-time trial-and-error.
Wenjun Wang, Yuchen Fang, Fengrui Liu et al.· 0 citations
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