Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Parallel Efficient Data Loading
Año:2019
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
In this paper we discuss how we architected and developed a parallel data loader for LeanXcale database. The loader is characterized for its efficiency and parallelism. LeanXcale can scale up and scale out to very large numbers and loading data in the traditional way it is not exploiting its full potential in terms of the loading rate it can reach. For this reason, we have created a parallel loader that can reach the maximum insertion rate LeanXcale can handle. LeanXcale also exhibits a dual interface, key-value and SQL, that has been exploited by the parallel loader. Basically, the loading leverages the key-value API and results in a highly efficient process that avoids the overhead of SQL processing. Finally, in order to guarantee the parallelism we have developed a data sampler that samples data to generate a histogram of data distribution and use it to pre-split the regions across LeanXcale instances to guarantee that all instances get an even amount of data during loading, thus g uaranteeing the peak processing loading capability of the deployment.
Internacional
Si
Nombre congreso
8th International Conference on Data Science, Technology and Applications, DATA 2019
Tipo de participación
960
Lugar del congreso
Praga
Revisores
Si
ISBN o ISSN
978-989-758-377-3
DOI
10.5220/0008318904650469
Fecha inicio congreso
26/07/2019
Fecha fin congreso
28/07/2019
Desde la página
465
Hasta la página
469
Título de las actas
Proceedings of the 8th International Conference on Data Science, Technology and Applications
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Ricardo Jimenez Peris (UPM)
  • Autor: Francisco J. Ballesteros (Universidad Rey Juan Carlos, Madrid,)
  • Autor: Ainhoa Azqueta Alzuaz (UPM)
  • Autor: Pavlos Kranas (UPM)
  • Autor: Diego Burgos Sancho (UPM)
  • Autor: Patricio Martínez (LeanXcale)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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