Relational databases for conditions data and event selection in ATLAS

The ATLAS experiment at LHC will make extensive use of relational databases in both online and offline contexts, running to O(TBytes) per year. Two of the most challenging applications in terms of data volume and access patterns are conditions data, making use of the LHC conditions database, COOL, a...

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Detalles Bibliográficos
Autores principales: Viegas, F, Hawkings, R, Dimitrov, G
Lenguaje:eng
Publicado: 2008
Materias:
Computing and Computers
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/119/4/042032
http://cds.cern.ch/record/1176895
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author Viegas, F
Hawkings, R
Dimitrov, G
author_facet Viegas, F
Hawkings, R
Dimitrov, G
author_sort Viegas, F
collection CERN
description The ATLAS experiment at LHC will make extensive use of relational databases in both online and offline contexts, running to O(TBytes) per year. Two of the most challenging applications in terms of data volume and access patterns are conditions data, making use of the LHC conditions database, COOL, and the TAG database, that stores summary event quantities allowing a rapid selection of interesting events. Both of these databases are being replicated to regional computing centres using Oracle Streams technology, in collaboration with the LCG 3D project. Database optimisation, performance tests and first user experience with these applications will be described, together with plans for first LHC data-taking and future prospects.
id cern-1176895
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2008
record_format invenio
spelling cern-11768952022-08-17T13:36:16Zdoi:10.1088/1742-6596/119/4/042032http://cds.cern.ch/record/1176895engViegas, FHawkings, RDimitrov, GRelational databases for conditions data and event selection in ATLASComputing and ComputersThe ATLAS experiment at LHC will make extensive use of relational databases in both online and offline contexts, running to O(TBytes) per year. Two of the most challenging applications in terms of data volume and access patterns are conditions data, making use of the LHC conditions database, COOL, and the TAG database, that stores summary event quantities allowing a rapid selection of interesting events. Both of these databases are being replicated to regional computing centres using Oracle Streams technology, in collaboration with the LCG 3D project. Database optimisation, performance tests and first user experience with these applications will be described, together with plans for first LHC data-taking and future prospects.oai:cds.cern.ch:11768952008
spellingShingle Computing and Computers
Viegas, F
Hawkings, R
Dimitrov, G
Relational databases for conditions data and event selection in ATLAS
title Relational databases for conditions data and event selection in ATLAS
title_full Relational databases for conditions data and event selection in ATLAS
title_fullStr Relational databases for conditions data and event selection in ATLAS
title_full_unstemmed Relational databases for conditions data and event selection in ATLAS
title_short Relational databases for conditions data and event selection in ATLAS
title_sort relational databases for conditions data and event selection in atlas
topic Computing and Computers
url https://dx.doi.org/10.1088/1742-6596/119/4/042032
http://cds.cern.ch/record/1176895
work_keys_str_mv AT viegasf relationaldatabasesforconditionsdataandeventselectioninatlas
AT hawkingsr relationaldatabasesforconditionsdataandeventselectioninatlas
AT dimitrovg relationaldatabasesforconditionsdataandeventselectioninatlas

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