topic Re: How to increase QV server based speed? in QlikView

How to increase QV server based speed?

Mon, 26 Jan 2026 18:19:17 GMT

Hi,

I have QV based on server with ca 3-5 million data rows uploaded and QV based on a server. Using QV via web-browser with that kind of data volume is really slow. The lag is big. Can you recommend any smart ways to increase the speed of web-browser based version?

- I'm using Explorer. I was told that Chrome is much quicker but for some reason I'm having problems with logging in (Explorer works Chrome doesn't - I all the time get "login failed" messages)

Many thanks,

Thomas

Re: How to increase QV server based speed?

agilos_mla — Mon, 03 Feb 2014 10:00:03 GMT

How does look like you data model?

How is you server ? RAM/CPU/ Nbr of concurrents User? Size of Document?

How is the content of the complexity of the document? (ex displaying straight table with complex set analysis on 5 milions rows is CPU consumming, add some aggr function within and you'll need also some more RAM...

Is the QVS running on a virtual machine, if yes does the VM is dedicated to QV?

You could run some load testing with JMeter

Michael

Re: How to increase QV server based speed?

Peter_Cammaert — Mon, 03 Feb 2014 10:02:11 GMT

5 million rows should not be any problem for QlikView. Probably more of a problem because of one or more of the following:

Not enough memory. Monitor your server memory usage. QVS becomes awfully slow when running short on memory.
Not enough CPUs for parallel resolving of selections and associations. Monitor your server CPU usage.
Your datamodel may be sub-optimal. Try not to use any excessive table chains. Throwing it all in one big table makes for a incredibly responsive application, on condition that the previous items are all ok.
Chrome indeed has an excellent javascript engine, and performance improvements are substantial when switching over from IE. I suggest you start a separate thread to resolve your "login failed" problem.

Best,

Peter