Composite Key Generation on a Shared-Nothing Architecture

  • Marie Hoffmann
  • Alexander Alexandrov
  • Periklis Andritsos
  • Juan Soto
  • Volker Markl
Conference paper

DOI: 10.1007/978-3-319-15350-6_12

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8904)
Cite this paper as:
Hoffmann M., Alexandrov A., Andritsos P., Soto J., Markl V. (2015) Composite Key Generation on a Shared-Nothing Architecture. In: Nambiar R., Poess M. (eds) Performance Characterization and Benchmarking. Traditional to Big Data. TPCTC 2014. Lecture Notes in Computer Science, vol 8904. Springer, Cham

Abstract

Generating synthetic data sets is integral to benchmarking, debugging, and simulating future scenarios. As data sets become larger, real data characteristics thereby become necessary for the success of new algorithms. Recently introduced software systems allow for synthetic data generation that is truly parallel. These systems use fast pseudorandom number generators and can handle complex schemas and uniqueness constraints on single attributes. Uniqueness is essential for forming keys, which identify single entries in a database instance. The uniqueness property is usually guaranteed by sampling from a uniform distribution and adjusting the sample size to the output size of the table such that there are no collisions. However, when it comes to real composite keys, where only the combination of the key attribute has the uniqueness property, a different strategy needs to be employed. In this paper, we present a novel approach on how to generate composite keys within a parallel data generation framework. We compute a joint probability distribution that incorporates the distributions of the key attributes and use the unique sequence positions of entries to address distinct values in the key domain.

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Marie Hoffmann
    • 1
  • Alexander Alexandrov
    • 1
  • Periklis Andritsos
    • 2
  • Juan Soto
    • 1
  • Volker Markl
    • 1
  1. 1.DIMATechnische Universität BerlinBerlinGermany
  2. 2.Institut des Systèmes d’InformationUniversité de LausanneLausanneSwitzerland

Personalised recommendations