文章基本信息

标题：Making an Embedded DBMS JIT-friendly
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作者：Carl Friedrich Bolz ; Darya Kurilova ; Laurence Tratt 等
期刊名称：LIPIcs : Leibniz International Proceedings in Informatics
电子版ISSN：1868-8969
出版年度：2016
卷号：56
页码：4:1-4:24
DOI：10.4230/LIPIcs.ECOOP.2016.4
出版社：Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
摘要：While database management systems (DBMSs) are highly optimized, interactions across the boundary between the programming language (PL) and the DBMS are costly, even for in-process embedded DBMSs. In this paper, we show that programs that interact with the popular embedded DBMS SQLite can be significantly optimized -- by a factor of 3.4 in our benchmarks -- by inlining across the PL / DBMS boundary. We achieved this speed-up by replacing parts of SQLite's C interpreter with RPython code and composing the resulting meta-tracing virtual machine (VM) -- called SQPyte -- with the PyPy VM. SQPyte does not compromise stand-alone SQL performance and is 2.2% faster than SQLite on the widely used TPC-H benchmark suite.
关键词：DBMSs; JIT; performance; tracing