Database Competence Centre openlab Major Review Meeting 2012 2 nd February 2012 Maaike Limper Zbigniew Baranowski Luigi Gallerani Mariusz Piorkowski Anton.

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Presentation transcript:

Database Competence Centre openlab Major Review Meeting nd February 2012 Maaike Limper Zbigniew Baranowski Luigi Gallerani Mariusz Piorkowski Anton Topurov Nicolas Bernard Marescaux

Outline  Progress on - Integrated Virtualization, - Enterprise Manager 12c, - Replication Technologies, - 11g deployment for WLCG,  Outlook for openlab IV new projects - New openlab fellow – Maaike Limper, - Accelerator logging data-mining. CERN openlab major review February 20122

Oracle Enterprise Manager Infrastructure Provisioning, Self Service Portal tests

EM 12c Infrastructure Provisioning  Clean install of EM 12 (released version)  OVM 3.0 installed on 3 hosts  Re-testing of problematic features  Most of the reported errors fixed  Much faster setup then in Beta CERN openlab major review February 20124

EM12 Structure CERN openlab major review February 20125

EM 12 Self Service Portal  Not tested during Beta  Allows end users to provision own VMs  Self Service Admin controls available actions  VM images available for deployment  Disk, memory and CPU allowances  Scheduling windows, VMs expirations, etc  Works well from both admin and end user side CERN openlab major review February 20126

7 EM 12 Self Service Portal

Self Service Portal CERN openlab major review February 20128

Replication technologies update

Continuation of replication testing  Tested technologies  Streams  GoldenGate  Active DataGuard  Goal  Validation of above technologies with all CERN’s streamed production workload  Direct performance comparison  On exact hardware and software configuration Same that will be used in production CERN openlab major review February

Final results CERN openlab major review February LFC for LHCB workload description: -13 days of production data - redo volume 15G - 7,235,172 changes - ~2M transactions LFC for LHCB workload description: -13 days of production data - redo volume 15G - 7,235,172 changes - ~2M transactions ATLAS COOL workload description: - 3 days of production data - redo volume 22,4 G - 15,313,748 changes - 63,481 transactions ATLAS COOL workload description: - 3 days of production data - redo volume 22,4 G - 15,313,748 changes - 63,481 transactions ATLAS PVSS workload description: - 3 days of production data - redo volume 11,1 G - 8,162,001 changes - 567,227 transactions ATLAS PVSS workload description: - 3 days of production data - redo volume 11,1 G - 8,162,001 changes - 567,227 transactions LOWER - BETTER

Final results CERN openlab major review February LFC for LHCB workload description: -13 days of production data - redo volume 15G - 7,235,172 changes - ~2M transactions LFC for LHCB workload description: -13 days of production data - redo volume 15G - 7,235,172 changes - ~2M transactions ATLAS COOL workload description: - 3 days of production data - redo volume 22,4 G - 15,313,748 changes - 63,481 transactions ATLAS COOL workload description: - 3 days of production data - redo volume 22,4 G - 15,313,748 changes - 63,481 transactions ATLAS PVSS workload description: - 3 days of production data - redo volume 11,1 G - 8,162,001 changes - 567,227 transactions ATLAS PVSS workload description: - 3 days of production data - redo volume 11,1 G - 8,162,001 changes - 567,227 transactions HIGHER - BETTER

Summary  All Oracle replication solutions had been validated with CERN’s production datasets  ADG was the fastest one in each case  GoldenGate software is developing very fast  all data types used by CERN are now supported!  We could not benefit from parallelism optimization  Not compatible with production sets  Streams issues discovered during previous testing have been reported to Oracle Support  fixes are included in latest Oracle version ( ) and we are ready for deployment… CERN openlab major review February

Next steps – Active Data Guard  ADG appears to be not only the fastest replication technology but also the easiest to establish and maintain  It makes it the best candidate for online – offline replication  First production setup will be deployed for CMS and ALICE in February  Opens possibilities for offline analysis (data mining) of large data sets  like accelerator logs CERN openlab major review February

11g Deployment for WLCG

11g deployment overview  Narrow upgrade window  during LHC shutdown (January – March)  all experiments databases will be upgraded to 11g until middle of February at T0 beginning of March at T1  Additionally tested with RAT (Real Application Testing)  Replication related challenges  due to tight schedule upgrades cannot be performed in order recommended by Oracle  upgrades of T1s targets requires coordination and actions on T0  Report covering problems experienced during Streams replication upgrades will be provided to Oracle CERN openlab major review February

11g deployment in worldwide databases distribution  ATLAS – the core is already running 11g CERN openlab major review February g STREAMS11 g STREAMS 11 g T1 T g

 LHCB CERN openlab major review February LHCB online database – 6 th of February 11g deployment in worldwide databases distribution 11 g

Openlab IV projects

openlab IV  New Oracle Openlab fellow: - Maaike Limper, started January 2012  Project outline: - Investigate possibility of doing LHC-scale data reconstruction and physics analysis within an Oracle database  Focus on Physics Analysis  Analysis mainly done from (root)-n-tuples  Tree structure of root-n-tuples could be (easily?) converted into database structure  External procedure agent on database to handle C++ physics analysis code 20CERN openlab major review February 2012

Physics Analysis and Databases Challenges:  Optimize database structure: physics objects can be defined as vectors-of-vectors with varying length per event, could be stored as blobs or separate tables  Flexibility for different types of analysis: subsets of data objects could be defined through “views” for different physics groups (SUSY, Higgs, etc.)  Analysis time: large number of users to access same data at the same time, optimize performance to be competitive with current analysis scheme  Database size: could take significantly more space than root- files; data for results with many different versions of the reconstruction software to be stored 21CERN openlab major review February 2012

Accelerator logging data mining  Problem solving for early detection of the accelerator  Identify non-optimal response: discharge trajectory different from expected envelope  Response of valves  etc.  Make use of technology  Active DataGuard to analyze data at the same time as it is captured/loaded,  RAC, parallel query for processing  Large cache and high number of cores with fast interconnect 22CERN openlab major review February 2012

Outreach

Presentations  “GoldenGate vs Oracle Streams for Worldwide Distribution of Experimental Physics Data” Eva Defonte Perez & Zbigniew Baranowski, UKOUG, Birmingham 5-7 December 2011  “Testing Storage for Oracle RAC 11g with NAS, ASM and SSD Flash Cache” Luca Canali & Dawid Wojcik, UKOUG, Birmingham 5-7 December 2011  “Oracle Enterprise Manager: The Key to Building a Virtualized Stack” Anton Topurov, UKOUG, Birmingham 5-7 December 2011  “Going deeper into Real Application Testing” Mariusz Piorkowski, UKOUG, Birmingham 5-7 December 2011 CERN openlab major review February

Questions? CERN openlab major review February