Performance question

[#1]

Hi

I developed a qvd, not very complex, roughly two major facts one like orderheader, one like orderdetail.

80k rows and anoher one 200k rows.

I also developed several charts in my qvd main page.

my desktop has 16g memory, big enough for the app.

but i noticed it takes about 20 seconds to refresh, several chats sequentially, each takes about 5 to 6 seconds.

it is too slow for me.

while i noticed it works fine on the server.

so my question is , what is the reason it is slow on my desktop, memory? one core cpu? or something else?

do we have any guideline for the performance?

Thanks.

[effinty2112]

Hi,

To clarify by qvd with two major facts do you really mean a qvw with two tables, orderheader (80k rows) and orderdetail (200k rows)?

Regards

[Anonymous]

Hi Cooker,

It might have something to do with how you are loading your data. Check your script and make sure that there are no unnecesary duplicates/ data duplicating itself. There could be other factors involved but I doubt that it has anything to do with your machine

[#4]

You can go to Operations Monitor tab and find the sheet "performance". Which gives the entire story about the performance.

Analyse the report and make necessary changes.

[Anonymous]

Yep. Hardware configuration matters, see thes:

performance issue

QlikView Server slower with more CPUs

QlikView Hardware Benchmarking test

[avinashelite]

Hi,

1.Your server has a huge memory compared to your PC that's why it will load faster in the server

2.try to avoid the calculated dimensions in the chart it will help you in the fast loading

3.You machine CPU will working on various activities apart from the Qlikview app also so you will face this issue in local system

[#7]

80k and 200k is not that many rows for Qlikview.

Some operators may limit Qlikview to only one CPU core for the calculation ( count distinct might've been one of those ), so I assume the problem is in some of the expressions (if -operation can get costly) or the data model itself ( expression does cartesian join which joins everything with everything, producing 80k x 200k rows in your case ).

If you have multiple expressions, try disabling those until you see performance getting better.