Art of Electronics See Fig 462 Fig 432 in the 3rd Edition

Abstract

In this paper, nosotros are analyzing relational DBMS while working with big data. All experiments and performance tests are implemented in MS SQL Server 2019 Developer Edition and MongoDB. In the beginning, we offset by creating a database that contains not-linked tables (flat tables) with maximum memory consummation. The performance test starts with filling (Insert) the database with millions of rows. Then nosotros continue with information modification operations (Update). Finally, we launch the data cleaning (Delete) test. When all tests pass by and execution time is picked upward for farther analysis, nosotros continue our experiment with relational tables and NoSQL collections. That's why in the 2d part of this paper we accept the aforementioned database structure where we add primary and strange central constraints with cascade update and delete options. When repeating the performance exam, nosotros notice that the table size and execution time take significantly increased.

Keywords

  • Relational DBMS
  • Functioning test
  • Big data
  • Link constraints
  • DML commands
  • MongoDB
  • Data drove
  • JSON

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Aknowledgments

The investigation was carried out inside the framework of the project "Development of Analytical Information Arrangement for Storage and Intellectual Processing of the Results of Experimental and Numerical Studies of Physical Processes Post-obit in the Elements of Energy Processing" with the support of a grant from NRU "MPEI" for implementation of scientific research programs "Energy", "Electronics, Radio Engineering and Information technology", and "Industry four.0, Technologies for Industry and Robotics in 2020–2022".

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Borisova, Southward., Zein, A. (2022). Disadvantages of Relational DBMS for Large Data Processing. In: Taratukhin, V., Matveev, Yard., Becker, J., Kupriyanov, Y. (eds) Information Systems and Design. ICID 2021. Communications in Computer and Informatics, vol 1539. Springer, Cham. https://doi.org/10.1007/978-3-030-95494-9_23

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