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

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Presentation from conference "Oracle Day 2011" in Estonia
11.03.2011 Nordic Hotel Forum

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

  1. 1. Oracle Exadata
  2. 2. Fabien de Visser Frits HooglandEnterprise Account Manager Oracle ACE DirectorPROACT VX Company
  3. 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 & projectsMarch 11, 11
  4. 4. Case Study
  5. 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. 6. Data is a sample DNA variations setTable: CG_VAR– Size: 133’425’004’544– Extents: 2’228– Blocks: 16’287’232No indexesNo constraintsTests are done on VX Company & PROACT half rackExadata V2
  7. 7. What is done? In all cases the following simple SQL is executed:SQL> select count(*) from cg_var;
  8. 8. Nr Exadata Parallel Disk type features 1 - Serial HDDResponse 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. 9. Nr Exadata Parallel Disk type features 2 - Serial FDDResponse 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. 10. Nr Exadata Parallel Disk type features 3 - 64 HDDResponse 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. 11. Nr Exadata Parallel Disk type features 4 - 64 FDDResponse 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. 12. Nr Exadata Parallel Disk type features 5 SS Serial HDDResponse 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. 13. Nr Exadata Parallel Disk type features 6 SS Serial FDDResponse 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. 14. Nr Exadata Parallel Disk type features 7 SS 64 HDDResponse 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. 15. Nr Exadata Parallel Disk type features 8 SS 64 FDDResponse 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. 16. Nr Exadata Parallel Disk type features 9 SS + EHCC 64 FDDResponse 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. 17. Case study 9,300 Retail stores 98000 Employees Based in Hong Kong In Netherlands brands ‘Kruidvat’ and ‘Trekpleister’ are used.
  18. 18. Case study AS Watson Investigation into user satisfaction BI performance issues Better reports needed Project started for new DWH Performance 10x faster
  19. 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. 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. 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. 22. Case study AS Watson Conclusion Price difference 20k Extra consultancy offered Order received for 300k, system already running in UK

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