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English(EN) Demonstrating GenDB: Instance-Optimized and Customized Query Processing Code Generation via LLM Agents

GenDB 使用 LLM 代理生成优化的数据库查询代码

研究人员开发了 GenDB,一个新颖的查询处理引擎,它利用 LLM 代理生成优化的数据库查询代码。这种方法旨在通过转向针对特定数据、工作负载和硬件定制的代码生成,来克服传统查询引擎的复杂性。GenDB 可用于重复查询的离线代码生成,或与传统 DBMS 结合用于即席查询的混合架构,在 TPC-H 等基准测试中展示了比现有引擎显著的性能提升。 AI

影响 这项研究可能带来更高效、更适应的数据库查询处理,从而可能降低基础设施成本并提高数据密集型应用的性能。

排序理由 描述数据库查询处理新系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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GenDB 使用 LLM 代理生成优化的数据库查询代码

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描述数据库查询处理新系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jiale Lao, Immanuel Trummer ·

    演示 GenDB:通过 LLM 代理实现实例优化和定制化查询处理代码生成

    arXiv:2607.20630v1 Announce Type: cross Abstract: 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 built from scratch. However, these engines are dif…