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Compressing and maintaining statistics information about resource occurrences in a distributed RDF store

Compressing and maintaining statistics information about resource occurrences in a distributed RDF store
Compressing and maintaining statistics information about resource occurrences in a distributed RDF store

In distributed RDF stores triples are assigned to one or several storage and compute nodes. In order to perform query planning and optimization, statistical information about the occurrences of IRIs and literals on the individual storage and compute nodes is needed. In this paper, we present our novel compressed storage format for statistical information that can be updated with a single read and write operation if resources occur on few storage and compute nodes only. In our experiments this novel storage format reduced the time to collect statistical information by up to 97% and the required space by up to 99%.

1613-0073
Janke, Daniel
4a5d4f28-8add-435f-a223-e2a19d423012
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49
Janke, Daniel
4a5d4f28-8add-435f-a223-e2a19d423012
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49

Janke, Daniel and Staab, Steffen (2018) Compressing and maintaining statistics information about resource occurrences in a distributed RDF store. CEUR Workshop Proceedings, 2180.

Record type: Article

Abstract

In distributed RDF stores triples are assigned to one or several storage and compute nodes. In order to perform query planning and optimization, statistical information about the occurrences of IRIs and literals on the individual storage and compute nodes is needed. In this paper, we present our novel compressed storage format for statistical information that can be updated with a single read and write operation if resources occur on few storage and compute nodes only. In our experiments this novel storage format reduced the time to collect statistical information by up to 97% and the required space by up to 99%.

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More information

Published date: October 2018

Identifiers

Local EPrints ID: 427318
URI: http://eprints.soton.ac.uk/id/eprint/427318
ISSN: 1613-0073
PURE UUID: 8845cec9-600c-4642-bde8-f6494eee7a53
ORCID for Steffen Staab: ORCID iD orcid.org/0000-0002-0780-4154

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Date deposited: 11 Jan 2019 17:30
Last modified: 20 Jul 2019 00:34

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Contributors

Author: Daniel Janke
Author: Steffen Staab ORCID iD

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