Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/52876
Título: | Holistic shuffler for the parallel processing of SQL window functions |
Autor(es): | Coelho, Fabio Pereira, José Vilaça, Ricardo Manuel Pereira Oliveira, Rui Carlos Mendes de |
Data: | 2016 |
Editora: | Springer International Publishing AG |
Revista: | Lecture Notes in Computer Science |
Resumo(s): | Window functions are a sub-class of analytical operators that allow data to be handled in a derived view of a given relation, while taking into account their neighboring tuples. Currently, systems bypass parallelization opportunities which become especially relevant when considering Big Data as data is naturally partitioned. We present a shuffling technique to improve the parallel execution of window functions when data is naturally partitioned when the query holds a partitioning clause that does not match the natural partitioning of the relation. We evaluated this technique with a non-cumulative ranking function and we were able to reduce data transfer among parallel workers in 85% when compared to a naive approach. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/52876 |
ISBN: | 9783319395760 |
DOI: | 10.1007/978-3-319-39577-7_6 |
ISSN: | 0302-9743 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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holistic-proceedings.pdf Acesso restrito! | 274,21 kB | Adobe PDF | Ver/Abrir |