Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/52869
Título: | Prepared scan: Efficient retrieval of structured data from HBase |
Autor(es): | Neves, Francisco Vilaça, Ricardo Manuel Pereira Pereira, José Oliveira, Rui Carlos Mendes de |
Palavras-chave: | NoSQL Performance optimization Structured data |
Data: | 2017 |
Editora: | Association 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%. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/52869 |
ISBN: | 9781450344869 |
DOI: | 10.1145/3019612.3019863 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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p462-neves.pdf Acesso restrito! | 619,34 kB | Adobe PDF | Ver/Abrir |