on 10-16-2017 10:26 AM
Hi,
About the System:
The system having 30 countries.
Each country processing 50k records.
Data flows are using Data Clean and GAC transforms.
Current setup is:
BI Platform 4.2 SP03
Data Service 4.2SP 08
We have one job server and all country repo added to that. all the country job running at the same time.
Any suggestion what should the setup to increase performance? as the above setup taking too much time to process the data.
Regards,
Palash
Hi Palash,
I totally agree with Dirk comments let me add few more things in that.
If you want to validate the CPU & Memory usage either go for stats from operating system team or else you can see the same status usage via Data Services Management Console -> Job Execution Stats-> Each Process Wise Usage of CPU/Memory and data load
Also refer below link that will help you to investigate in detail
Pageable Cache and DSConfig
https://wiki.scn.sap.com/wiki/display/EIM/Pageable+Cache+and+DSConfig
Row Per Commit & Array Fetch Size in BODS
https://blogs.sap.com/2015/07/13/row-per-commit-array-fetch-size-in-bods/
Degree of Parallelism
https://wiki.scn.sap.com/wiki/display/EIM/Degree+of+Parallelism
Monitor Sample Rate
https://wiki.scn.sap.com/wiki/display/EIM/Monitor+Sample+Rate
I hope this will help!!!!
Regards,
Daya Jha
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Are you aware of the complexity of the DQ transforms? By nature, the throughput of DQ jobs is much lower than the one of DI jobs. DQ jobs are often CPU-bound. You can speed up the processing by adding more CPU power to your DS box.
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if we split the countries to different job server, will it improve the performance?
Currently 1 Jobserver having all countries repo attached, if we create jobserver per 8 or 10 countries, will it help?
As per the requirement all country job should start at the same time. hence we can't change the timing of the jobs.
Any suggestion?
Regards,
Palash
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