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Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery, p.236-252

Details

Autor(en) / Beteiligte
Titel
Performance Aspect of the In-Memory Databases Accessed via JDBC
Ist Teil von
  • Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery, p.236-252
Ort / Verlag
Cham: Springer International Publishing
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • The conception of storing and managing data directly in RAM appeared some time ago but in spite of very good efficiency, it was impossible to massive implementation because of hardware limitations. Currently, it is possible to store whole databases in memory as well as there are some mechanisms to organize pieces of data as in-memory databases. It has been the interesting issue how this type of databases behaves when accessing via JDBC. Hence we decided to test their performance in terms/sense of the time of SQL query execution. For this purpose TPC Benchmark\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^{\mathrm {TM}}$$\end{document} H (TPC-H) was applied. In our research we focused on the open source systems such as Altibase, H2, HyperSQL, MariaDB, MySQL Memory.
Sprache
Englisch
Identifikatoren
ISBN: 3319340980, 9783319340982
ISSN: 1865-0929
eISSN: 1865-0937
DOI: 10.1007/978-3-319-34099-9_18
Titel-ID: cdi_springer_books_10_1007_978_3_319_34099_9_18

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