Why Exadata wins - real exadata case studies from Proact portfolio - Fabien de Visser and Frits...
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Transcript of Why Exadata wins - real exadata case studies from Proact portfolio - Fabien de Visser and Frits...
![Page 1: Why Exadata wins - real exadata case studies from Proact portfolio - Fabien de Visser and Frits Hoogland](https://reader033.fdocuments.in/reader033/viewer/2022052619/556c4300d8b42a23608b47e8/html5/thumbnails/1.jpg)
Oracle Exadata
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Fabien de Visser
Enterprise Account Manager
PROACT
Frits Hoogland
Oracle ACE Director
VX Company
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PROACT Netherlands
Employees: 80
Revenue: E 35 million
March 11, 11
Focus: Storage, backup, recovery, archiving
VX Company
Employees: 300
Revenue: E 70 million
Focus: Oracle, Microsoft, Java
Consulting & projects
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Case Study
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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
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� Data is a sample DNA variations set
� Table: CG_VAR– Size: 133’425’004’544
– Extents: 2’228
– Blocks: 16’287’232– Blocks: 16’287’232
� No indexes
� No constraints
� Tests are done on VX Company & PROACT half rack Exadata V2
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What is done?
In all cases the following simple SQL is executed:
SQL> select count(*) from cg_var;SQL> select count(*) from cg_var;
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� Response time: 695 seconds– All 133GB is read and send to upper layer
Nr Exadata features
Parallel Disk type
1 - Serial HDD
– All 133GB is read and send to upper layer
– 127,238 IO’s
– Time profile:
– Restriction: Disk (652/127238=0.005)
direct path read 652
DB CPU 45
total time 695
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� Response time: 403 seconds– All 133GB is read and send to upper layer
Nr Exadata features
Parallel Disk type
2 - Serial FDD
– All 133GB is read and send to upper layer
– 127,238 IO’s
– Time profile:
– Restriction: Disk (359/127238=0.002)
direct path read 359
DB CPU 44
total time 403
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� Response time: 18 seconds– All 133GB is read and send to upper layer
Nr Exadata features
Parallel Disk type
3 - 64 HDD
– All 133GB is read and send to upper layer
– Time profile:
– Restriction: Disk- 133GB/4=33GB/18=1.84GB/s/n ; 4GbFC=33/0.4=82.5s
direct path read 256
DB CPU 16
total time 272
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� Response time: 13 seconds– All 133GB is read and send to upper layer
Nr Exadata features
Parallel Disk type
4 - 64 FDD
– All 133GB is read and send to upper layer
– Time profile:
– Restriction: Disk
direct path read 182
DB CPU 18
total time 200
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� Response time: 45 seconds – All 133GB is read and 19 GB send to upper layer
Nr Exadata features
Parallel Disk type
5 SS Serial HDD
– All 133GB is read and 19 GB send to upper layer
– Time profile:
– Restriction: CPU
cell smart table scan 8
DB CPU 37
total time 45
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� Response time: 41 seconds – All 133GB is read and 19 GB send to upper layer
Nr Exadata features
Parallel Disk type
6 SS Serial FDD
– All 133GB is read and 19 GB send to upper layer
– Time profile:
– Restriction: CPU
cell smart table scan 3
DB CPU 38
total time 41
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� Response time: 13 seconds – All 133GB is read and 19 GB send to upper layer
Nr Exadata features
Parallel Disk type
7 SS 64 HDD
– All 133GB is read and 19 GB send to upper layer
– Time profile:
– Restriction: Disk- 133GB/7=19GB/13=1.5GB/s
cell smart table scan 168
DB CPU 14
total time 182
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� Response time: 5 seconds – All 133GB is read and 19 GB send to upper layer
Nr Exadata features
Parallel Disk type
8 SS 64 FDD
– All 133GB is read and 19 GB send to upper layer
– Time profile:
– Restriction: Disk- 133GB/5=26.6GB/7=3.8GB/s
cell smart table scan 65
DB CPU 14
total time 79
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� Response time: 1 second– EHCC Query compression: 133GB is reduced to 11GB
Nr Exadata features
Parallel Disk type
9 SS + EHCC 64 FDD
– EHCC Query compression: 133GB is reduced to 11GB
– All 11GB is read and 260MB send to upper layer
– Time profile:
– Restriction: CPU
cell smart table scan 4
DB CPU 10
total time 12
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Case study
9,300 Retail stores
98000 Employees
Based in Hong Kong
In Netherlands brands ‘Kruidvat’ and ‘Trekpleister’ are
used.
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Case study AS Watson
Investigation into user satisfaction
BI performance issues
Better reports needed
Project started for new DWH
Performance 10x faster
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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
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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
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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
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Case study AS Watson
Conclusion
Price difference 20k
Extra consultancy offered
Order received for 300k, system already running in UK