Speaker
Gancho Dimitrov
(Brookhaven National Laboratory (US))
Description
The ATLAS experiment at LHC relies on databases for detector online
data-taking, storage and retrieval of configurations, calibrations and
alignments, post data-taking analysis, file management over the grid, job
submission and management, data replications to other computing centers,
etc. The Oracle Relational Database Management System has been addressing
the ATLAS database requirements to a great extent for many years. Several
database clusters were deployed for the needs of the different applications.
The data volume, complexity and demands from the users are increasing
steadily with time. Nowadays about 20 TB of data are stored in the ATLAS
Oracle databases at CERN (not including the index overhead), but the most
impressive number is the hosted 260 database schemas (in the common case
each schema is related to a dedicated client application with its own
requirements). At the beginning of 2012 all ATLAS databases at CERN are
upgraded to the newest Oracle version 11g Release 2. In order to make the
ATLAS DB applications more reliable and performant we explored and evaluated
the new 11g database features. In this work we present some of the Oracle
11g enhancements and typical ATLAS application use cases which suit best and
the gain from the implemented changes.
Primary author
Gancho Dimitrov
(Brookhaven National Laboratory (US))
Co-authors
Luca Canali
(CERN)
Marcin Blaszczyk
(CERN)
Roman Sorokoletov
(University of Texas at Arlington (US))
