70 citations · 141 across the 25 of their papers we have counts for
28 papers
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…
Breaking Database Lock-in: Agentic Regeneration of High Performance Storage Readers for Database Bypass
Victor Giannakouris, Immanuel Trummer
Analytical workloads operating on data stored in external database systems face a fundamental bottleneck: data access is guarded entirely by the database driver, like JDBC or ODBC,…
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…
SemBench: A Benchmark for Semantic Query Processing Engines
Jiale Lao, Andreas Zimmerer, Olga Ovcharenko +12
We present a benchmark targeting a novel class of systems: semantic query processing engines. Those systems rely inherently on generative and reasoning capabilities of state-of-the…
Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation
Manuel Schönberger, Immanuel Trummer, Wolfgang Mauerer
Finding optimal join orders is among the most crucial steps to be performed by query optimisers. Though extensively studied in data management research, the problem remains far fro…
Implementing Semantic Join Operators Efficiently
Immanuel Trummer
Semantic query processing engines often support semantic joins, enabling users to match rows that satisfy conditions specified in natural language. Such join conditions can be eval…