Relational Database Management Systems (DBMSs) serve as foundational systems for data storage and management, supporting a rich variety of data types to specify storage formats and value ranges. These data types play a critical role in both data storage and computation. However, complex data computation operations (e.g...
Jiansen Song, Wensheng Dou, Ying-Ying Zheng et al.· Proceedings of the VLDB Endo...· 0 citations
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
A KL-divergence-driven model fine-tuning and plan updating strategy that dynamically adapts to workload changes is introduced, demonstrating improved scalability and robustness for industrial-scale PQO.
Song-Song Mo, Quan-Qing Xu, Xu-Chen Ding et al.· Proceedings of the VLDB Endo...· 0 citations
A network-optimized Monte Carlo tree search (NMCTS)-based index selection model, called tree-based index selection (Tree-IS), is proposed by using the sampling-based reinforcement learning algorithm Monte Carlo tree search (MCTS), achieving the rapid identification of optimal index sets and a significant improvement in...
Shaojie Qiao, Lei Yang, Rongmin Tang et al.· IEEE Transactions on Neural...· 0 citations
This work presents DocMaster, a hierarchical structure-aware document analysis system that parses documents into hierarchical document trees preserving original layouts and constructs a structure-aware semantic index that enables accurate document filtering and in-depth analysis.
Ziqi Chen, Yingli Zhou, Fangyuan Zhang et al.· 0 citations
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