The ATLAS EventIndex for LHC Run 3

Dario Barberis; Igor Aleksandrov; Evgeny Alexandrov; Zbigniew Baranowski; Gancho Dimitrov; Álvaro Fernández Casaní; Elizabeth J. Gallas; Carlos García Montoro; Santiago González de la Hoz; Julius Hrivnac; Andrei Kazymov; Mikhail Mineev; Fedor Prokoshin; Grigori Rybkin; Javier Sánchez; José Salt Cairols; Miguel Villaplana Perez

doi:10.1051/epjconf/202024504017

All issues

Volume 245 (2020)

EPJ Web Conf., 245 (2020) 04017

Abstract

Open Access

Issue		EPJ Web Conf. Volume 245, 2020 24^th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)


Article Number		04017
Number of page(s)		6
Section		4 - Data Organisation, Management and Access
DOI		https://doi.org/10.1051/epjconf/202024504017
Published online		16 November 2020

EPJ Web of Conferences 245, 04017 (2020)
https://doi.org/10.1051/epjconf/202024504017

The ATLAS EventIndex for LHC Run 3

Dario Barberis¹^*, Igor Aleksandrov², Evgeny Alexandrov², Zbigniew Baranowski³, Gancho Dimitrov³, Álvaro Fernández Casaní⁴, Elizabeth J. Gallas⁵, Carlos García Montoro⁴, Santiago González de la Hoz⁴, Julius Hrivnac⁶, Andrei Kazymov², Mikhail Mineev², Fedor Prokoshin², Grigori Rybkin⁶, Javier Sánchez⁴, José Salt Cairols⁴ and Miguel Villaplana Perez⁷

¹ Physics Department of the University of Genoa and INFN Sezione di Genova, Via Dodecaneso 33, I-16146 Genova, Italy
² Joint Institute for Nuclear Research, 6 Joliot-Curie St., Dubna, Moscow Region, 141980, Russia
³ CERN, 1211 Geneva 23, Switzerland
⁴ Instituto de Fisica Corpuscular (IFIC), Centro Mixto Universidad de Valencia CSIC, Valencia, Spain
⁵ Department of Physics, Oxford University, Oxford, United Kingdom
⁶ Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
⁷ Department of Physics, University of Alberta, Edmonton AB, Canada

Published online: 16 November 2020

Abstract

The ATLAS EventIndex was designed in 2012-2013 to provide a global event catalogue and limited event-level metadata for ATLAS analysis groups and users during the LHC Run 2 (2015-2018). It provides a good and reliable service for the initial use cases (mainly event picking) and several additional ones, such as production consistency checks, duplicate event detection and measurements of the overlaps of trigger chains and derivation datasets. The LHC Run 3, starting in 2021, will see increased data-taking and simulation production rates, with which the current infrastructure would still cope but may be stretched to its limits by the end of Run 3. This proceeding describes the implementation of a new core storage service that will be able to provide at least the same functionality as the current one for increased data ingestion and search rates, and with increasing volumes of stored data. It is based on a set of HBase tables, with schemas derived from the current Oracle implementation, coupled to Apache Phoenix for data access; in this way we will add to the advantages of a BigData based storage system the possibility of SQL as well as NoSQL data access, allowing to re-use most of the existing code for metadata integration.

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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