Towards programmability of a NUMA-aware storage engine

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Contributors

Abstract

The SQL database language was originally intended for application programmers. However, after more than 20 years of language extensions, SQL can only be generated by software components and is no longer suitable for an increasing user base like knowledge workers or data scientists, who want to work with data in an interactive fashion. The original idea of declarative query languages, telling the system what information to retrieve and not how to retrieve it, is still relevant. However, procedural elements are extremely worthwhile and have to be part of a next generation database programming language without compromising performance and scalability. To tackle this challenge, we are going to present our overall approach consisting of a highly-scalable NUMA-aware storage engine ERIS and a novel appropriate procedural programming approach on top of ERIS in this paper.

Details

Original languageEnglish
Title of host publicationLWA 2015 Workshops
EditorsRalph Bergmann, Sebastian Görg, Gilbert Müller
Pages391-402
Number of pages12
Publication statusPublished - 2015
Peer-reviewedYes

Publication series

SeriesCEUR Workshop Proceedings
Volume1458
ISSN1613-0073

Conference

TitleLearning, Knowledge, Adaptation Workshops, LWA 2015: Knowledge Discovery, Data Mining and Machine Learning, KDML 2015, Knowledge Management, FGWM 2015, Information Retrieval, IR 2015 and Database Systems, FGDB 2015
Duration7 - 9 October 2015
CityTrier
CountryGermany

External IDs

ORCID /0000-0001-8107-2775/work/199215560

Keywords

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