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cs.DB2026
Demonstrating GenDB: Instance-Optimized and Customized Query Processing Code Generation via LLM Agents
Jiale Lao, Immanuel Trummer
Traditional query processing engines require continuous development and extensions to support new techniques and user requirements, and in some cases, entirely new systems must be…
cs.DB2026
WAter: A Workload-Adaptive Knob Tuning System based on Workload Compression
Yibo Wang, Jiale Lao, Chen Zhang +3
Selecting appropriate values for the configurable parameters of Database Management Systems (DBMS) to improve performance is a significant challenge. Recent machine learning (ML)-b…
cs.DB2026
GenDB: The Next Generation of Query Processing -- Synthesized, Not Engineered
Jiale Lao, Immanuel Trummer
Traditional query processing relies on engines that are carefully optimized and engineered by many experts. However, new techniques and user requirements evolve rapidly, and existi…