How Diverse Are Federated Query Execution Plans Really?

Anders Langballe Jakobsen, Gabriela Montoya, Katja Hose

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Abstract

Federated query engines optimize and execute SPARQL queries over the data accessible via SPARQL endpoints; even in the absence of information about which sources provide relevant data. Different query optimization strategies may produce different execution plans, which in many cases explains the huge differences in performance that we encounter with state-of-the-art federated query engines. Related work has so far mainly focused on execution time and number of selected sources, overlooking the importance of the execution plans themselves. In this demonstration paper, we therefore present PIPE, a tool that allows for comparing federated query engines in terms of performance, execution plans, and query answers. Currently, PIPE supports five state-of-the-art federated query engines; we provide a Java library for straightforward integration of additional federated query engines.
Original languageEnglish
Title of host publicationThe Semantic Web : ESWC 2019 Satellite Events - ESWC 2019 Satellite Events, Revised Selected Papers
EditorsPascal Hitzler, Sabrina Kirrane, Olaf Hartig, Victor de Boer, Stefan Schlobach, Maria-Esther Vidal, Maria Maleshkova, Karl Hammar, Nelia Lasierra, Steffen Stadtmüller, Katja Hose, Ruben Verborgh
Number of pages6
PublisherSpringer
Publication date2019
Pages105-110
ISBN (Print)978-3-030-32326-4
ISBN (Electronic)978-3-030-32327-1
DOIs
Publication statusPublished - 2019
Event16th International Semantic Web Conference, ESWC 2019 - Portorož, Slovenia
Duration: 2 Jun 20196 Jun 2019

Conference

Conference16th International Semantic Web Conference, ESWC 2019
CountrySlovenia
CityPortorož
Period02/06/201906/06/2019
SponsorElsevier, et al., QualiChain, Semantic Web Company, Siemens, STI International
SeriesLecture Notes in Computer Science
Volume11762
ISSN0302-9743

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