A major challenge in database systems research is obtaining interesting workloads that one can use to evaluate new ideas. Previous benchmark frameworks only support a small number of workloads or a single DBMS. Our OLTP-Bench framework improves on these earlier efforts by supporting a greater selection of both benchmarks and DBMSs, but it is still limited.

Given this, we are developing a catalog of database workloads from open source code repositories. We will create a tool that automatically searches the Internet for database applications and runs them locally in order to learn how they use a DBMS. We will develop techniques for approximating the data and workload properties, and automatically create the corresponding synthetic generators that can be used in our benchmark framework.

People

• Zeyuan Shang (Tsinghua University)
• Dana Van Aken
• Andy Pavlo

Acknowledgements

This research was funded (in part) by the National Science Foundation (III-1423210).

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