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A Survey on Parallel Database Systems from a Storage Perspective: Rows Versus Columns

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Database and Expert Systems Applications (DEXA 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 903))

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Abstract

Big data requirements have revolutionized database technology, bringing many innovative and revamped DBMSs to process transactional (OLTP) or demanding query workloads (cubes, exploration, pre-processing). Parallel and main memory processing have become important features to exploit new hardware and cope with data volume. With such landscape in mind, we present a survey comparing modern row and columnar DBMSs, contrasting their ability to write data (storage mechanisms, transaction processing, batch loading, enforcing ACID) and their ability to read data (query processing, physical operators, sequential vs parallel). We provide a unifying view of alternative storage mechanisms, database algorithms and query optimizations used across diverse DBMSs. We contrast the architecture and processing of a parallel DBMS with an HPC system. We cover the full spectrum of subsystems going from storage to query processing. We consider parallel processing and the impact of much larger RAM, which brings back main-memory databases. We then discuss important parallel aspects including speedup, sequential bottlenecks, data redistribution, high speed networks, main memory processing with larger RAM and fault-tolerance at query processing time. We outline an agenda for future research.

C. Ordonez—Work partially conducted while the first author was visiting MIT.

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Acknowledgments

The first author thanks the guidance from Michael Stonebraker to understand query processing based on columnar storage, arrays of unlimited size to support mathematical analytics and lock-free transaction processing in main memory.

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Authors and Affiliations

  1. University of Houston, Houston, USA

    Carlos Ordonez

  2. LIAS/ISAE-ENSMA, Poitiers, France

    Ladjel Bellatreche

Authors
  1. Carlos Ordonez
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  2. Ladjel Bellatreche
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Corresponding author

Correspondence to Carlos Ordonez .

Editor information

Editors and Affiliations

  1. University of Tunis, Tunis, Tunisia

    Mourad Elloumi

  2. MiCS, Media Computer Science, University of Passau, Passau, Bayern, Germany

    Michael Granitzer

  3. IRIT, Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  4. University of Twente, Enschede, Overijssel, The Netherlands

    Christin Seifert

  5. Fak. Medien, Bauhaus Universität Weimar, Weimar, Thüringen, Germany

    Benno Stein

  6. Inst. für Softwaretechnik, Vienna University of Technology, Vienna, Austria

    A Min Tjoa

  7. FAW, Johannes Kepler University of Linz, Linz, Austria

    Roland Wagner

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Ordonez, C., Bellatreche, L. (2018). A Survey on Parallel Database Systems from a Storage Perspective: Rows Versus Columns. In: Elloumi, M., et al. Database and Expert Systems Applications. DEXA 2018. Communications in Computer and Information Science, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-319-99133-7_1

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  • DOI: https://doi.org/10.1007/978-3-319-99133-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99132-0

  • Online ISBN: 978-3-319-99133-7

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