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JBD Generator: Towards Semi-Structured JSON Big Data

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  • First Online:
New Trends in Databases and Information Systems (ADBIS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 637))

  • 476 Accesses

Abstract

This paper describes a tool for generation of synthetic semi-structured JSON Big Data, called JBD generator. Its main focus is on parallel execution of the generation process while preserving the ability to control the contents of the generated documents. It can also accept samples of real-world data characterizing the target synthetic data and is also capable of automatic creation of references between JSON documents. The results of experiments with the data generator exploited for the purpose of testing database MongoDB describe its added value.

Supported by the grant SVV-2016-260331.

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Notes

  1. 1.

    http://nosql-database.org/.

  2. 2.

    https://www.mongodb.org.

  3. 3.

    https://github.com/mongodb-js/datasets.

  4. 4.

    https://nodejs.org/.

  5. 5.

    https://github.com/mongodb-js/mongodb-schema.

  6. 6.

    http://chancejs.com/.

  7. 7.

    https://github.com/FotoVerite/Faker.js.

  8. 8.

    http://underscorejs.org/.

  9. 9.

    http://www.eneter.net.

  10. 10.

    For the full list of queries and their listings see [4].

References

  1. ECMA-404 The JSON Data Interchange Standard (2015). http://json.org/

  2. Extensible Markup Language (XML) 1.0 (5th edn. ). W3C (2013)

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  3. Production Cluster Architecture. MongoDB Inc (2015). http://docs.mongodb.org/manual/core/sharded-cluster-architectures-production/

  4. Betik, R.: Automatic Generation of Synthetic XML Documents, Master Thesis, Charles University in Prague (2015). http://www.ksi.mff.cuni.cz/~holubova/dp/Betik.pdf

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Author information

Authors and Affiliations

  1. Department of Software Engineering, Charles University, Prague, Czech Republic

    Roman Betík & Irena Holubová

Authors
  1. Roman Betík
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  2. Irena Holubová
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Corresponding author

Correspondence to Irena Holubová .

Editor information

Editors and Affiliations

  1. Faculty of Sciences, University of Novi Sad Faculty of Sciences, Novi Sad, Serbia

    Mirjana Ivanović

  2. Christian-Albrechts-Universität Kiel, Kiel, Germany

    Bernhard Thalheim

  3. University of Genoa, Genoa, Italy

    Barbara Catania

  4. Software Competence Cent. Hagenberg GmbH, Hagenberg, Austria

    Klaus-Dieter Schewe

  5. Riga Technical University, Riga, Latvia

    Mārīte Kirikova

  6. VSB-Technical University Ostrava, Ostrava, Czech Republic

    Petr Šaloun

  7. Georgia College and State University, Milledgeville, Georgia, USA

    Ajantha Dahanayake

  8. Politecnico di Torino, Torino, Italy

    Tania Cerquitelli

  9. Politecnico di Torino , Torino, Italy

    Elena Baralis

  10. EURECOM, Biot Sophia Antipolis cedex, France

    Pietro Michiardi

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© 2016 Springer International Publishing Switzerland

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Cite this paper

Betík, R., Holubová, I. (2016). JBD Generator: Towards Semi-Structured JSON Big Data. In: Ivanović, M., et al. New Trends in Databases and Information Systems. ADBIS 2016. Communications in Computer and Information Science, vol 637. Springer, Cham. https://doi.org/10.1007/978-3-319-44066-8_6

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  • DOI: https://doi.org/10.1007/978-3-319-44066-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44065-1

  • Online ISBN: 978-3-319-44066-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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