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current_thing
Frequent Visitor

Prevent refresh of a table in Table.combine

Hello,

I have created a PBI file that consists of:

current_thing_0-1717697793577.png

Book1 will consist of data that will not change. Book2 will consist of data that will change. Query2 is a union of Book1 and Book2.

Goals:

1) In Desktop view, the user will see only Query2 which I've accomplished

current_thing_1-1717698092552.png

2) When I refresh Query2, I only want the refresh of Book2 since this will be dynamic data. How can I accomplish this? Even though I specifically set option to not refresh Book1, it still does when I refresh Query2

current_thing_2-1717698660293.png

Hope my question is easy to understand with screenshots. Thanks!

 

 

 

7 REPLIES 7
lbendlin
Super User
Super User

Even though I specifically set option to not refresh Book1, it still does when I refresh Query2

That is by design.  The "do not refresh"  request will be ignored for queries that other queries depend upon.

Thanks for replying. Can you think of a setup that'll accomplish what I'm trying? The static dataset is HUGE, so it is cumbersome and waste of resource to refresh it.

Consider using incremental refresh or other manual partition management processes.

I believe incremental refresh requires premium subscription, which my company won't pay for. Can you tell me more about manual partition management? Does this require premium subscription? Thanks.

yes, it requires access through the XMLA endpoint which is a premium feature too.

 

That means your only choice is to do your own pseudo partition management (ie CSV files on a OneDrive) and accept the cost of loading all these files all the time.  

My other idea was to convert the static csv import into permanent table. Meaning that it will no longer be connected to CSV file. Then using DAX expression of Union, I can combine the pemanent table and static CSV file. Do you have suggestions how to go about converting CSV table into permanent table? Thanks!

that's a bad idea.  The DAX UNION will double the amount of memory your semantic model needs, for no good reason.  Don't do that.

 

Static CSVs are the least bad option.

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