有效的生成机器代码的查询编译器

Henning Funke, J. Mühlig, J. Teubner
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引用次数: 9

摘要

查询编译可以使查询执行非常高效,但它引入了额外的编译时间。编译时间导致相对较高的开销,特别是对于短时间运行和高复杂性的查询。我们建议使用鲽鱼IR作为查询编译的轻量级中间表示,以减少编译时间。bilder IR接近机器汇编,并添加了高效查询编译所必需的一组特性:虚拟寄存器和函数调用简化了编译器前端的构造;特定于数据库的扩展支持查询计划中的高效流水线;为了最大限度地提高编译速度,有意忽略了更复杂的IR特性。在本文中,我们提出了比目鱼红外语言,并激发了它的设计;我们展示了该语言如何使查询编译直观和高效;我们用基准测试来演示我们的鲽鱼库如何显著减少查询编译时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient generation of machine code for query compilers
Query compilation can make query execution extremely efficient, but it introduces additional compilation time. The compilation time causes a relatively high overhead especially for short-running and high-complexity queries. We propose Flounder IR as a lightweight intermediate representation for query compilation to reduce compilation times. Flounder IR is close to machine assembly and adds just that set of features that is necessary for efficient query compilation: virtual registers and function calls ease the construction of the compiler front-end; database-specific extensions enable efficient pipelining in query plans; more elaborate IR features are intentionally left out to maximize compilation speed. In this paper, we present the Flounder IR language and motivate its design; we show how the language makes query compilation intuitive and efficient; and we demonstrate with benchmarks how our Flounder library can significantly reduce query compilation times.
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