Reducing Data Transfer in Parallel Processing of SQL Window Functions

dc.contributor.author Fábio André Coelho en
dc.contributor.author José Orlando Pereira en
dc.contributor.author Ricardo Pereira Vilaça en
dc.contributor.author Rui Carlos Oliveira en
dc.date.accessioned 2017-12-18T16:08:48Z
dc.date.available 2017-12-18T16:08:48Z
dc.date.issued 2016 en
dc.description.abstract 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. We propose a technique that can be used in the parallel execution of this operator when data is naturally partitioned. The proposed method benefits the cases where the required partitioning is not the natural partitioning employed. Preliminary evaluation shows that we are able to limit data transfer among parallel workers to 14% of the registered transfer when using a naive approach. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/4215
dc.identifier.uri http://dx.doi.org/10.5220/0005923603430347 en
dc.language eng en
dc.relation 6059 en
dc.relation 5602 en
dc.relation 5594 en
dc.relation 5635 en
dc.rights info:eu-repo/semantics/embargoedAccess en
dc.title Reducing Data Transfer in Parallel Processing of SQL Window Functions en
dc.type conferenceObject en
dc.type Publication en
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