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Making an embedded DBMS JIT-friendly

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)41-424
JournalLeibniz International Proceedings in Informatics, LIPIcs
Volume56
DOIs
Accepted/In press16 Jun 2016
Published13 Jul 2016

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King's Authors

Abstract

This artifact contains: the SQPyte prototype, a JIT for executing SQLite queries; and PyPy-SQPyte, a version of the PyPy Python VM which embeds SQPyte. In addition, a benchmark suite is included, which allows performance comparison against standard SQLite and the Java embedded database H2.

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