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Query Processing and Optimization in Modern Database Systems

dc.contributor.authorLeis, Viktor
dc.contributor.editorMitschang, Bernhard
dc.contributor.editorNicklas, Daniela
dc.contributor.editorLeymann, Frank
dc.contributor.editorSchöning, Harald
dc.contributor.editorHerschel, Melanie
dc.contributor.editorTeubner, Jens
dc.contributor.editorHärder, Theo
dc.contributor.editorKopp, Oliver
dc.contributor.editorWieland, Matthias
dc.date.accessioned2017-06-20T20:24:34Z
dc.date.available2017-06-20T20:24:34Z
dc.date.issued2017
dc.description.abstractRelational database management systems, which were designed decades ago, are still the dominant data processing platform. Since then, large DRAM capacities and servers with many cores have fundamentally changed the hardware landscape. As a consequence, traditional database systems cannot exploit modern hardware e ectively anymore. This paper summarizes author’s thesis, which focuses on the challenges posed by modern hardware for transaction processing, query processing, and query optimization. In particular, we present a concurrent transaction processing system based on hardware transactional memory and show how to synchronize data structures e ciently. We further design a parallel query engine for many-core CPUs that supports the important relational operators including join, aggregation, window functions, etc. Finally, we dissect the query optimization process in the main memory setting and show the contribution of each query optimizer component to the overall query performance.en
dc.identifier.isbn978-3-88579-659-6
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW 2017)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-265
dc.titleQuery Processing and Optimization in Modern Database Systemsen
dc.typeText/Conference Paper
gi.citation.endPage518
gi.citation.startPage507
gi.conference.date6.-10. März 2017
gi.conference.locationStuttgart
gi.conference.sessiontitleDissertation Award Winner

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