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Oracle Exadata
Fabien de Visser             Frits Hoogland
Enterprise Account Manager   Oracle ACE Director
PROACT                       VX Company
PROACT Netherlands
               Employees: 80
               Revenue: E 35 million
               Focus: Storage, backup, recovery, archiving


         VX Company
               Employees: 300
               Revenue: E 70 million
               Focus: Oracle, Microsoft, Java
               Consulting & projects

March 11, 11
Case Study
Case Study: Erasmus University

  Case: store 100 human genomes...
     ...for the first year.
     Grow further in the next years.


  Current problems
     Too much data, and growing
     Taking too much time to diagnose
Data is a sample DNA variations set
Table: CG_VAR
– Size:    133’425’004’544
– Extents:           2’228
– Blocks:       16’287’232
No indexes
No constraints

Tests are done on VX Company & PROACT half rack
Exadata V2
What is done?



  In all cases the following simple SQL is executed:

SQL> select count(*) from cg_var;
Nr             Exadata       Parallel        Disk type
                features
 1              -             Serial          HDD
Response time: 695 seconds
– All 133GB is read and send to upper layer
– 127,238 IO’s
– Time profile:            direct path read     652
                           DB CPU               45
                           total time           695
– Restriction: Disk (652/127238=0.005)
Nr             Exadata       Parallel        Disk type
                features
 2              -             Serial          FDD
Response time: 403 seconds
– All 133GB is read and send to upper layer
– 127,238 IO’s
– Time profile:            direct path read     359
                           DB CPU               44
                           total time           403
– Restriction: Disk (359/127238=0.002)
Nr             Exadata        Parallel        Disk type
                features
 3              -              64              HDD
Response time: 18 seconds
– All 133GB is read and send to upper layer
– Time profile:
                          direct path read        256
                          DB CPU                  16
                          total time              272
– Restriction: Disk
  - 133GB/4=33GB/18=1.84GB/s/n ; 4GbFC=33/0.4=82.5s
Nr             Exadata       Parallel        Disk type
                features
 4              -             64              FDD
Response time: 13 seconds
– All 133GB is read and send to upper layer
– Time profile:
                          direct path read      182
                          DB CPU                18
                          total time            200
– Restriction: Disk
Nr             Exadata       Parallel       Disk type
                features
 5              SS            Serial         HDD
Response time: 45 seconds
– All 133GB is read and 19 GB send to upper layer
– Time profile:
                     cell smart table scan 8
                     DB CPU                   37
                     total time               45
– Restriction: CPU
Nr             Exadata       Parallel       Disk type
                features
 6              SS            Serial         FDD
Response time: 41 seconds
– All 133GB is read and 19 GB send to upper layer
– Time profile:
                     cell smart table scan 3
                     DB CPU                   38
                     total time               41
– Restriction: CPU
Nr            Exadata        Parallel      Disk type
               features
 7             SS             64            HDD
Response time: 13 seconds
– All 133GB is read and 19 GB send to upper layer
– Time profile:
                     cell smart table scan 168
                     DB CPU                   14
                     total time               182
– Restriction: Disk
  - 133GB/7=19GB/13=1.5GB/s
Nr             Exadata        Parallel      Disk type
                features
 8              SS             64            FDD
Response time: 5 seconds
– All 133GB is read and 19 GB send to upper layer
– Time profile:
                     cell smart table scan 65
                     DB CPU                   14
                     total time               79
– Restriction: Disk
  - 133GB/5=26.6GB/7=3.8GB/s
Nr           Exadata       Parallel      Disk type
              features
 9            SS + EHCC 64                FDD
Response time: 1 second
– EHCC Query compression: 133GB is reduced to 11GB
– All 11GB is read and 260MB send to upper layer
– Time profile:
                     cell smart table scan 4
                     DB CPU                  10
                     total time              12
– Restriction: CPU
Case study




  9,300 Retail stores
  98000 Employees
  Based in Hong Kong
  In Netherlands brands ‘Kruidvat’ and ‘Trekpleister’ are
  used.
Case study AS Watson

  Investigation into user satisfaction
     BI performance issues
     Better reports needed


  Project started for new DWH
     Performance 10x faster
Case study AS Watson

  POC Netezza
     Achieved 10 times performance improvement
     But change in platform results in change of technique
  POC IBM
     Hardware: large P7 with huge storage system
     Expected 30-40 times performance improvement
     In real life achieved 15 times improvement
  POC Oracle Exadata
     On exadata quarter rack
     Achieved 10-200 times improvement
Case study AS Watson

  AS Watson decided not to go ahead with IBM
     Netezza and Exadata remained


  Netezza
     Pro’s
      • Netezza helps with importing data
      • Fast
     Con’s
      • Again a new vendor
      • No knowledge in organisation
      • No OLTP
Case study AS Watson

  Exadata
     Faster than Netezza in general
     Pro’s
      • OLTP possible
      • Possibility to consolidate
      • Fits in existing Sun environment
      • Already user of Oracle database software
     Con’s
      • Upgrade to newest version needed
      • Extra knowledge of Oracle database software needed
Case study AS Watson

  Conclusion
     Price difference 20k
     Extra consultancy offered
     Order received for 300k, system already running in UK

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Why Exadata wins - real exadata case studies from Proact portfolio - Fabien de Visser and Frits Hoogland

  • 2. Fabien de Visser Frits Hoogland Enterprise Account Manager Oracle ACE Director PROACT VX Company
  • 3. PROACT Netherlands Employees: 80 Revenue: E 35 million Focus: Storage, backup, recovery, archiving VX Company Employees: 300 Revenue: E 70 million Focus: Oracle, Microsoft, Java Consulting & projects March 11, 11
  • 5. Case Study: Erasmus University Case: store 100 human genomes... ...for the first year. Grow further in the next years. Current problems Too much data, and growing Taking too much time to diagnose
  • 6. Data is a sample DNA variations set Table: CG_VAR – Size: 133’425’004’544 – Extents: 2’228 – Blocks: 16’287’232 No indexes No constraints Tests are done on VX Company & PROACT half rack Exadata V2
  • 7. What is done? In all cases the following simple SQL is executed: SQL> select count(*) from cg_var;
  • 8. Nr Exadata Parallel Disk type features 1 - Serial HDD Response time: 695 seconds – All 133GB is read and send to upper layer – 127,238 IO’s – Time profile: direct path read 652 DB CPU 45 total time 695 – Restriction: Disk (652/127238=0.005)
  • 9. Nr Exadata Parallel Disk type features 2 - Serial FDD Response time: 403 seconds – All 133GB is read and send to upper layer – 127,238 IO’s – Time profile: direct path read 359 DB CPU 44 total time 403 – Restriction: Disk (359/127238=0.002)
  • 10. Nr Exadata Parallel Disk type features 3 - 64 HDD Response time: 18 seconds – All 133GB is read and send to upper layer – Time profile: direct path read 256 DB CPU 16 total time 272 – Restriction: Disk - 133GB/4=33GB/18=1.84GB/s/n ; 4GbFC=33/0.4=82.5s
  • 11. Nr Exadata Parallel Disk type features 4 - 64 FDD Response time: 13 seconds – All 133GB is read and send to upper layer – Time profile: direct path read 182 DB CPU 18 total time 200 – Restriction: Disk
  • 12. Nr Exadata Parallel Disk type features 5 SS Serial HDD Response time: 45 seconds – All 133GB is read and 19 GB send to upper layer – Time profile: cell smart table scan 8 DB CPU 37 total time 45 – Restriction: CPU
  • 13. Nr Exadata Parallel Disk type features 6 SS Serial FDD Response time: 41 seconds – All 133GB is read and 19 GB send to upper layer – Time profile: cell smart table scan 3 DB CPU 38 total time 41 – Restriction: CPU
  • 14. Nr Exadata Parallel Disk type features 7 SS 64 HDD Response time: 13 seconds – All 133GB is read and 19 GB send to upper layer – Time profile: cell smart table scan 168 DB CPU 14 total time 182 – Restriction: Disk - 133GB/7=19GB/13=1.5GB/s
  • 15. Nr Exadata Parallel Disk type features 8 SS 64 FDD Response time: 5 seconds – All 133GB is read and 19 GB send to upper layer – Time profile: cell smart table scan 65 DB CPU 14 total time 79 – Restriction: Disk - 133GB/5=26.6GB/7=3.8GB/s
  • 16. Nr Exadata Parallel Disk type features 9 SS + EHCC 64 FDD Response time: 1 second – EHCC Query compression: 133GB is reduced to 11GB – All 11GB is read and 260MB send to upper layer – Time profile: cell smart table scan 4 DB CPU 10 total time 12 – Restriction: CPU
  • 17. Case study 9,300 Retail stores 98000 Employees Based in Hong Kong In Netherlands brands ‘Kruidvat’ and ‘Trekpleister’ are used.
  • 18. Case study AS Watson Investigation into user satisfaction BI performance issues Better reports needed Project started for new DWH Performance 10x faster
  • 19. Case study AS Watson POC Netezza Achieved 10 times performance improvement But change in platform results in change of technique POC IBM Hardware: large P7 with huge storage system Expected 30-40 times performance improvement In real life achieved 15 times improvement POC Oracle Exadata On exadata quarter rack Achieved 10-200 times improvement
  • 20. Case study AS Watson AS Watson decided not to go ahead with IBM Netezza and Exadata remained Netezza Pro’s • Netezza helps with importing data • Fast Con’s • Again a new vendor • No knowledge in organisation • No OLTP
  • 21. Case study AS Watson Exadata Faster than Netezza in general Pro’s • OLTP possible • Possibility to consolidate • Fits in existing Sun environment • Already user of Oracle database software Con’s • Upgrade to newest version needed • Extra knowledge of Oracle database software needed
  • 22. Case study AS Watson Conclusion Price difference 20k Extra consultancy offered Order received for 300k, system already running in UK