EPJ Web Conf.
Volume 251, 202125th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|Number of page(s)||8|
|Section||Distributed Computing, Data Management and Facilities|
|Published online||23 August 2021|
Laurelin: Java-native ROOT I/O for Apache Spark
1 Vanderbilt University, Nashville, TN 37240, USA
2 University of Nebraska, Lincoln, NE 68588, USA
* e-mail: email@example.com
Published online: 23 August 2021
Apache Spark is one of the predominant frameworks in the big data space, providing a fully-functional query processing engine, vendor support for hardware accelerators, and performant integrations with scientific computing libraries. One difficulty in adopting conventional big data frameworks to HEP workflows is the lack of support for the ROOT file format in these frameworks. Laurelin implements ROOT I/O with a pure Java library, with no bindings to the C++ ROOT implementation, and is readily installable via standard Java packaging tools. It provides a performant interface enabling Spark to read (and soon write) ROOT TTrees, enabling users to process these data without a pre-processing phase converting to an intermediate format.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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