Skip to main content
SpringerLink
Log in

The CBTR Tool Chain

  • Chapter
  • First Online:
Benchmarking Transaction and Analytical Processing Systems

Part of the book series: In-Memory Data Management Research ((IMDM))

  • 1323 Accesses

Abstract

The tool chain to assess database systems according to mixed workloads is composed of three parts. Figure 6.1 provides an overview of these parts. The first comprises database specific scripts to create the database schema (tables and indexes) and to load the benchmark base data into the database system that is going to be tested. The second part covers the simulation of a specific workload configuration – a benchmark run.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    See Listing B.1 for the complete contents of the configuration file.

  2. 2.

    See Listing B.2 for an excerpt of a result log file.

Bibliography

  1. P.K. Janert, Gnuplot in Action: Understanding Data with Graphs (Manning Publications, Greenwich, 2009)

    Google Scholar 

  2. Oracle, Java SE technologies – database. Technology Webpage, n.d.. Retrieved from http://www.oracle.com/technetwork/java/javaee/tech/index-jsp-136101.html. Last accessed 15 June 2012

  3. Oracle, Oracle technology network – Java. Technology Webpage, n.d.. Retrieved from http://www.oracle.com/technetwork/java/index.html. Last accessed 20 June 2012

  4. Python, Python programming language. Official Website, 2012. Retrieved from http://www.python.org/. Last accessed 20 June 2012

  5. J. Schaffner, B. Eckart, D. Jacobs, C. Schwarz, H. Plattner, A. Zeier, Predicting in-memory database performance for automating cluster management tasks, in Proceedings of the 2011 IEEE 27th International Conference on Data Engineering, ICDE ’11, Hanover (IEEE Computer Society, Washington, D.C., 2011), pp. 1264–1275

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Hasso-Plattner-Institute, University of Potsdam, Potsdam, Germany

    Anja Bog

Authors
  1. Anja Bog
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Bog, A. (2014). The CBTR Tool Chain. In: Benchmarking Transaction and Analytical Processing Systems. In-Memory Data Management Research. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38070-9_6

Download citation

Publish with us

Policies and ethics

Search

Navigation