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Anonymous
Not applicable

Power BI effiency problem

Hi,

 

Im having a problem with the Power BI solution i have being too slow. Basically i have a data sets ranging from 50 000 rows to 1 000 000 rows, for which it might take 20min to perform the query below.

Does anyone have any improvement ideas on how to perform the following problem faster than the current solution that is also presented below?

 

Problem   

For people familiar with accounting: I would like to see where do entries from one account go to. As in "other side of a journal entry".

Basically the data is this as in the table below:

AccountIdentifierSum
1000565100€
110056520€
1200565-120€
1200572-101€
130057250€
140057250€
15005721€
1600577-5000€
16005775000€

 

Of course, there will be hundreds of thousands of lines. But the rule is:

1. All Identifiers (565 for example) equal out to zero in the Sum-field. 

 

Goal:

I would like to create a dashboard, where i can filter account 1200 and it would present to me the following:

 

Account 
1000100€
110020€
130050€
140050€
15001€

 

So the solution would be like this:

Filter all Identifiers that are in account 1200 (565 & 572 in this case).

If account <> 1200 then SUM the values of these identifiers and show which account they are assigned to.

 

The current solution that is too slow:

 

image.png

 

 

2 REPLIES 2
v-diye-msft
Community Support
Community Support

Hi @Anonymous 

 

If you've fixed the issue on your own please kindly share your solution. if the above posts help, please kindly mark it as a solution to help others find it more quickly.thanks!

 

 

Community Support Team _ Dina Ye
If this post helps, then please consider Accept it as the solution to help the other members find it more
quickly.
Greg_Deckler
Super User
Super User

You need an inverse slicer. Luckily, I invented one. 

https://community.powerbi.com/t5/Quick-Measures-Gallery/Inverse-Selector/m-p/648290#M325

 

You may also need an inverse aggregator. In that case:

https://community.powerbi.com/t5/Quick-Measures-Gallery/Inverse-Aggregator/m-p/342266#M91

 

 


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