Feeder computing time

[deepakjain2020]

Hi All,

General question again

Can many conditional feeders in a cube lead to increase in feeder computation time?

Regards,
Deepak Jain

[declanr]

Hi All,

General question again

Can many conditional feeders in a cube lead to increase in feeder computation time?

Regards,
Deepak Jain

There are many ifs and buts when it comes to the detail of this but the generic answer to the generic question is that it will. Generally speaking adding more feeders (conditional or otherwise) will of course lead to more feeders having to be processed; therefore meaning it would take longer to do so.

[deepakjain2020]

Thanks Declanr

You are right, I have removed conditional feeders from rules and had check in TM1server log.
The feeder computation time has changed and it is consuming less time than earlier

Regards,
Deepak Jain

[David Usherwood]

The conditionals would have been set up to reduce server size. How much larger is your server's RAM footprint now?

[deepakjain2020]

The conditionals would have been set up to reduce server size. How much larger is your server's RAM footprint now?

Hi David,

There was a overfeeding of cube.
RAM size - 24 GB

Before making changes to feeders it was consuming around - 14 GB (Including TM1 data) and now it is around 9.5 GB.
Later added conditional feeders, which was a good idea but resulted in increase of feeder computation time which indeed impacted report response time also. So replaced with respective elements rather than having conditional feeders.

Regards,
Deepak Jain