Lessons Learned from the Industry’s First TPC Benchmark DS (TPC-DS)

  • Manan TrivediEmail author
  • Zhenqiang ChenEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11135)


The TPC Benchmark DS (TPC-DS) is a decision support benchmark that models several generally applicable aspects of a decision support system, including queries and data maintenance, which is representative of modern decision support and big data applications. TPC-DS was initially designed for Relational Database Management Systems (RDBMS), later extended support for Apache Hadoop. This paper provides the lessons learned including hardware and software tuning parameters from the first TPC-DS publication which was on Cisco UCS® Integrated Infrastructure with Transwarp Data Hub.


Industry standards Performance Hadoop Data warehouse TPC-DS 


  1. 1.
    Nambiar, R., Poess, M.: The Making of TPC-DS. In: VLDB 2006 (2006)Google Scholar
  2. 2.
    Poess, M., Nambiar, R., et al.: Why you should run TPC-DS: a workload analysis. In: VLDB 2007 (2007)Google Scholar
  3. 3.
  4. 4.
  5. 5.
  6. 6.
  7. 7.
  8. 8.
  9. 9.
  10. 10.
    Fox, A., Brewer, E.: Harvest, yield and scalable tolerant systems. In: Proceedings of 7th Workshop Hot Topics in Operating Systems (HotOS 1999), pp. 174–178. IEEE CS (1999)Google Scholar
  11. 11.
    Brewer, E.: CAP twelve years later: how the “rules” have changed. Computer 45(2), 23–29 (2012)CrossRefGoogle Scholar
  12. 12.

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Cisco Systems, Inc.San JoseUSA
  2. 2.Transwarp Technology (Shanghai) Co., Ltd.ShanghaiChina

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