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When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICDT.2018.17
URN: urn:nbn:de:0030-drops-86034
URL: http://drops.dagstuhl.de/opus/volltexte/2018/8603/
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Ketsman, Bas ; Albarghouthi, Aws ; Koutris, Paraschos

Distribution Policies for Datalog

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LIPIcs-ICDT-2018-17.pdf (0.6 MB)


Abstract

Modern data management systems extensively use parallelism to speed up query processing over massive volumes of data. This trend has inspired a rich line of research on how to formally reason about the parallel complexity of join computation. In this paper, we go beyond joins and study the parallel evaluation of recursive queries. We introduce a novel framework to reason about multi-round evaluation of Datalog programs, which combines implicit predicate restriction with distribution policies to allow expressing a combination of data-parallel and query-parallel evaluation strategies. Using our framework, we reason about key properties of distributed Datalog evaluation, including parallel-correctness of the evaluation strategy, disjointness of the computation effort, and bounds on the number of communication rounds.

BibTeX - Entry

@InProceedings{ketsman_et_al:LIPIcs:2018:8603,
  author =	{Bas Ketsman and Aws Albarghouthi and Paraschos Koutris},
  title =	{{Distribution Policies for Datalog}},
  booktitle =	{21st International Conference on Database Theory (ICDT 2018)},
  pages =	{17:1--17:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-063-7},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{98},
  editor =	{Benny Kimelfeld and Yael Amsterdamer},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/8603},
  URN =		{urn:nbn:de:0030-drops-86034},
  doi =		{10.4230/LIPIcs.ICDT.2018.17},
  annote =	{Keywords: Datalog queries, Distributed evaluation, Distribution policies}
}

Keywords: Datalog queries, Distributed evaluation, Distribution policies
Seminar: 21st International Conference on Database Theory (ICDT 2018)
Issue Date: 2018
Date of publication: 28.02.2018


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