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Jano
Helper III
Helper III

PBIX file size confusion

Hi,

 

I'm on a powerbi pro license and aware of the 1gb pbix size limit, in which it seems I ran into now.
(Refresh is causing an error "Memory error: Memory Allocation failure . Try simplifying or reducing the number of queries.")

 

But I'm rather confused, since my PBIX file size is only around 320mb

1.PNG

 

So I checked again with DAX Studio, here it says I exceeded 1GB in file size, which would explain why Im getting this error on refreshing.

2.PNG

 

 

 

 

So I checked storage use in pbi service again and it seems fine:

3.PNG

 

 

 

So here's my question:

Does the 1GB size limit for pbi pro users counts for the highly compressed state of the pbix?

And is DAX Studio showing me the uncompressed size of my pbix?

Or is there something wrong in the model, which is causing some weird explosion of the size?

 

I'm cleaning up the model to reduce the size anyway, but I'm highly interested in fully understanding this topic.

Couldn't quite find the answers to my question in all those great content and articles out there, so I hope to find some here!

 

Thank you in advance.

 

Best,

Jano

1 ACCEPTED SOLUTION

Hi, @Jano 

Here are my option to your questions:

  1. I think sometimes the 1GB limitation will not count because other data refreshes and data queries on the service will also occupy memory, which will also cause insufficient memory allocation. And multiply calculate columns/tables will also consume large resources in the Power BI service. So you can follow this document to improve your dataset as much as you can to avoid this kind of problem.

https://docs.microsoft.com/en-us/power-bi/connect-data/refresh-data#best-practices

  1. In my opinion, yes. You can also follow this document to extract Table Size from Power BI Desktop Using DAX Studio.

https://exceleratorbi.com.au/table-size-from-power-bi-desktop/

 

Best Regards,

Community Support Team _Robert Qin

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

5 REPLIES 5
jdbuchanan71
Super User
Super User

@Jano 

Not sure it pertains to your situation but it might.  Have you disabled auto date time in your file?
REDUCE Power BI dataset size by 60% with ONE CHECKBOX?
https://www.youtube.com/watch?v=RnDdDlozcdo&t=409s&ab_channel=GuyinaCube

 

Hi @jdbuchanan71 

thanks for your response.

Yes for performance and size optimizing I'm aware of all the best practices out there.

I already reduced the size of the pbix to work again.

 

But I'm interested in the difference between file size in compressed/uncompressed states aswell as for what the limitation for powerbi pro users count for 🙂

Hi, @Jano 

Talking about pbix files that use import mode in Power BI, data models are loaded with data that is compressed and optimized and then stored to disk by the VertiPaq storage engine. When source data is loaded into memory, it is possible to see 10x compression, and so it is reasonable to expect that 10 GB of source data can compress to about 1 GB in size. Further, when persisted to disk an additional 20% reduction can be achieved.

 

What’s more, larger model sizes may not be supported by your capacity. Shared capacity can host models up to 1 GB in size, while Premium capacities can host models up to 13 GB in size.

 

You can try to follow this link to get some data reduction techniques:

https://docs.microsoft.com/en-us/power-bi/guidance/import-modeling-data-reduction#remove-unnecessary...

 

Best Regards,

Community Support Team _Robert Qin

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Hi @v-robertq-msft 

thanks for your response.

I'm aware of the points you mentioned, but still have these 2 open questions:

So here's my question:

Does the 1GB size limit for pbi pro users counts for the highly compressed state of the pbix?

And is DAX Studio showing me the uncompressed size of my pbix?

 

Best,

Jano

Hi, @Jano 

Here are my option to your questions:

  1. I think sometimes the 1GB limitation will not count because other data refreshes and data queries on the service will also occupy memory, which will also cause insufficient memory allocation. And multiply calculate columns/tables will also consume large resources in the Power BI service. So you can follow this document to improve your dataset as much as you can to avoid this kind of problem.

https://docs.microsoft.com/en-us/power-bi/connect-data/refresh-data#best-practices

  1. In my opinion, yes. You can also follow this document to extract Table Size from Power BI Desktop Using DAX Studio.

https://exceleratorbi.com.au/table-size-from-power-bi-desktop/

 

Best Regards,

Community Support Team _Robert Qin

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

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