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DOI: 10.4230/DARTS.2.1.2
URN: urn:nbn:de:0030-drops-61233
URL: http://drops.dagstuhl.de/opus/volltexte/2016/6123/
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Bolz, Carl Friedrich ; Kurilova, Darya ; Tratt, Laurence

Making an Embedded DBMS JIT-friendly (Artifact)

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DARTS-2-1-2.pdf (0.3 MB)
artifact-format:
DARTS-2-1-2-artifact-26f0b52ea00e72261ac82b02d031ee0c.zip (5,662 MB)


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.

BibTeX - Entry

@Article{bolz_et_al:DARTS:2016:6123,
  author =	{Carl Friedrich Bolz and Darya Kurilova and Laurence Tratt},
  title =	{{Making an Embedded DBMS JIT-friendly (Artifact)}},
  pages =	{2:1--2:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2016},
  volume =	{2},
  number =	{1},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6123},
  URN =		{urn:nbn:de:0030-drops-61233},
  doi =		{10.4230/DARTS.2.1.2},
  annote =	{Keywords: DBMSs, JIT, performance, tracing}
}

Keywords: DBMSs, JIT, performance, tracing
Seminar: DARTS, Volume 2, Issue 1
Related Scholarly Article: http://dx.doi.org/10.4230/LIPIcs.ECOOP.2016.4
Issue Date: 2016
Date of publication: 14.07.2016


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