Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/52869

TítuloPrepared scan: Efficient retrieval of structured data from HBase
Autor(es)Neves, Francisco
Vilaça, Ricardo Manuel Pereira
Pereira, José
Oliveira, Rui Carlos Mendes de
Palavras-chaveNoSQL
Performance optimization
Structured data
Data2017
EditoraAssociation for Computing Machinery (ACM)
Resumo(s)The ability of NoSQL systems to scale better than traditional relational databases motivates a large set of applications to migrate their data to NoSQL systems, even without aiming to exploit the provided schema exibility. However, accessing structured data is costly due to such exibility, incurring in a lot of bandwidth and processing unit usage. In this paper, we analyse this cost in Apache HBase and propose a new scan operation, named Prepared Scan, that optimizes the access to data structured in a regular manner by taking advantage of a well-known schema by application. Using an industry standard benchmark, we show that Prepared Scan improves throughput up to 29% and decreases network bandwidth consumption up to 20%.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/52869
ISBN9781450344869
DOI10.1145/3019612.3019863
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:HASLab - Outras publicações

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