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Laurelin: Java-native ROOT I/O for Apache Spark

Andrew Malone Melo · CERN

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About

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..

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The talk

  1. Laurelin: Java-native ROOT I/O for Apache Spark 2021-05-19 · 12 min · CERN's player

Credits and licence

Institution
CERN
Department
Conferences
Speaker
Andrew Malone Melo
Year
2021
Language
English
Subjects
Physics, Computer science, Earth and environment
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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