An effective scalable SQL engine for NoSQL databases
An effective scalable SQL engine for NoSQL databases
dc.contributor.author | Ricardo Pereira Vilaça | en |
dc.contributor.author | Francisco Miguel Cruz | en |
dc.contributor.author | José Orlando Pereira | en |
dc.contributor.author | Rui Carlos Oliveira | en |
dc.date.accessioned | 2017-12-15T16:28:06Z | |
dc.date.available | 2017-12-15T16:28:06Z | |
dc.date.issued | 2013 | en |
dc.description.abstract | NoSQL databases were initially devised to support a few concrete extreme scale applications. Since the specificity and scale of the target systems justified the investment of manually crafting application code their limited query and indexing capabilities were not a major impediment. However, with a considerable number of mature alternatives now available there is an increasing willingness to use NoSQL databases in a wider and more diverse spectrum of applications and, to most of them, hand-crafted query code is not an enticing trade-off. In this paper we address this shortcoming of current NoSQL databases with an effective approach for executing SQL queries while preserving their scalability and schema flexibility. We show how a full-fledged SQL engine can be integrated atop of HBase leading to an ANSI SQL compliant database. Under a standard TPC-C workload our prototype scales linearly with the number of nodes in the system and outperforms a NoSQL TPC-C implementation optimized for HBase. © 2013 IFIP International Federation for Information Processing. | en |
dc.identifier.uri | http://repositorio.inesctec.pt/handle/123456789/4164 | |
dc.identifier.uri | http://dx.doi.org/10.1007/978-3-642-38541-4_12 | en |
dc.language | eng | en |
dc.relation | 5635 | en |
dc.relation | 5656 | en |
dc.relation | 5594 | en |
dc.relation | 5602 | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.title | An effective scalable SQL engine for NoSQL databases | en |
dc.type | conferenceObject | en |
dc.type | Publication | en |
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