Speaker
Dr
Fedor Prokoshin
(JINR)
Description
The ATLAS Event Index provides since 2015 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. LHC Run 3 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 talk describes a new implementation of the front and back-end services 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 us to re-use most of the existing code for metadata integration.
Primary author
Dr
Fedor Prokoshin
(JINR)
Co-authors
Mr
Andrei Kazymov
(JINR)
Carlos García Montoro
(Instituto de Fisica Corpuscular (IFIC))
Prof.
Dario Barberis
(University and INFN Genova (Italy))
Elizabeth Gallas
(University of Oxford)
Mr
Evgeny Alexandrov
(JINR)
Gancho Dimitrov
(CERN)
Grigori Rybkin
(LAL, Univ. Paris-Sud)
Dr
Igor Alexandrov
(JINR)
Javier Sánchez
(Instituto de Fisica Corpuscular (IFIC))
José Salt Cairols
(Instituto de Fisica Corpuscular (IFIC))
Julius Hrivnac
(LAL Orsay)
Miguel Villaplana
(Università degli Studi e INFN Milano)
Mr
Mikhail Mineev
(JINR)
Santiago González de la Hoz
(Instituto de Fisica Corpuscular (IFIC))
Zbigniew Baranowski
(CERN)
Álvaro Fernández Casaní
(Instituto de Fisica Corpuscular (IFIC))
