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

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

  • Oracle Exadata
  • Fabien de Visser Frits HooglandEnterprise Account Manager Oracle ACE DirectorPROACT 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 & projectsMarch 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 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
  • 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 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)
  • 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)
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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