topic Qliksense Sales Application Performance issue in App Development

Qliksense Sales Application Performance issue

Anonymous — Thu, 22 Mar 2018 09:32:16 GMT

Hi All,

Our Sales application size is 16 GB but we have good Server configuration with 512 GB of RAM and Processor of 2.1GHz and 56 cores . there are 24 sheets in application and To navigate between sheets takes 90 to 100 Seconds to completely load the data in each object of the sheet .

Suggest me how to increase performance of Qliksense application . I have converted all Date types to Number format and avoided If Condition as well

Re: Qliksense Sales Application Performance issue

CarmenReilly — Thu, 22 Mar 2018 17:45:07 GMT

Hi Mahesh,

These resources may be helpful to you:

Performance and Optimization Best Practices in QlikView & Qlik Sense: https://community.qlik.com/docs/DOC-17608
The Qlik® Associative Engine memory management and CPU usage: https://www.qlik.com/us/resource-library/qlik-associative-engine-memory-management-cpu
Qlik Sense® Performance Benchmark: https://www.qlik.com/us/resource-library/qlik-sense-performance-benchmark
Qlik Sense Enterprise - Architecture and Scalability Technical White Paper: https://www.qlik.com/us/resource-library/qlik-sense-enterprise-architecture-and-scalability

You can also take a look at:

Best Practices for Data Modelling: https://help.qlik.com/en-US/sense/February2018/Subsystems/Hub/Content/DataModeling/best-practices-data-modeling.htm

I'm not sure how you're set up right now, but you could also look at loading from QVD files: https://help.qlik.com/en-US/sense/February2018/Subsystems/Hub/Content/Scripting/work-with-QVD-files.htm

All The Best,

Carmen

Re: Qliksense Sales Application Performance issue

Anonymous — Fri, 23 Mar 2018 05:34:48 GMT

Carmen Reilly

Hi Carmen Reilly,

Thank you so much, this point helps me for making better performance

Performance and Optimization Best Practices in QlikView & Qlik Sense: https://community.qlik.com/docs/DOC-17608

Re: Qliksense Sales Application Performance issue

CarmenReilly — Fri, 23 Mar 2018 16:55:50 GMT

Excellent, glad I could be of assistance!!

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