Speaker
Christopher Jung
(KIT - Karlsruhe Institute of Technology (DE))
Description
Most analyses in experimental high-energy physics (HEP) are based on the data analysis framework ROOT. Therefore, simulated as well as measured events are stored in ROOT trees. A typical analysis loops over events in ROOT files and selects relevant events for further processing according to certain selection criteria.
The emergence of NoSQL databases provide a new mean for large scale data storage and analyses. NoSQL databases allow horizontal scaling and can be used as a new approach for HEP analyses.
We present a study that stores simulated top-pair-production events in the document-based NoSQL database MongoDB. We compare analysis steps using MongoDB as input source to the traditional approach using ROOT trees. We demonstrate that many analysis steps beyond the selection of events are supported by the database query language.
The advantages and limitations of the NoSQL approach are discussed in terms of functionality, performance, storage efficiency, and usability.
Primary author
Jörg Meyer
(Karlsruhe Institute of Technology)
Co-authors
Achim Streit
(KIT - Karlsruhe Institute of Technology (DE))
Christopher Jung
(KIT - Karlsruhe Institute of Technology (DE))
