Download Power BI Reports from Power BI Service

Download report from Power BI Service

A new cool feature added to Power BI Service is the ability to download Power BI reports from Power BI Service. This feature is highly demanded and it’s available from November 2016. I was really excited when I noticed that and I had to try it straight away. I was in a bus back to home on Friday, but, I couldn’t wait until I get home and test this cool feature. So I created a personal hotspot and started testing it in the bus. To make the level of my excitement clearer, I should reveal a secret. I get motion sick in the bus very quickly. It gets worth when I read something, even reading a text on my mobile. Man, it’s really horrible feeling. Knowing that I’ll potentially get sick, I turned on my tablet (a Windows 10 tablet of course) to test this new cool feature. So I logged into my Power BI Service account, I opened a report, clicked File menu and this is what I got

Inactive Download report from Power BI Service

But, why?

Two possibilities jumped into my head immediately:

  • The dataset of this particular report is not supported at the moment
  • The “Download report” feature is NOT supported in my area

So I opened Power BI Desktop and created a report on top of an Excel file very quickly, then I published it to the service and voila! It worked. So it is also available in my area.

 

Download report from Power BI Service

But, what was wrong with the previous report though? The dataset?

I checked the report’s dataset, it was on-premises SQL Server. Could it be a problem?

I created another Power BI report in Power BI Desktop on top of adventure works on SQL Server 2016. I published the model and interestingly the download report feature was still active. So how on earth I shouldn’t be able to download that report?

Well, I was in the bus, wobble about and I was feeling that the motion sickness symptom is coming for me and there were a bunch of “whys” in my head.

So I had to experiment some other datasets as well. I tested the following datasets:

  1. CSV files
  2. Folder
  3. SQL Server Direct Query
  4. SQL Server Analysis Services (SSAS) Multidimensional (Connect Live)
  5. SQL Server Analysis Services Tabular
  6. From Web
  7. Azure SQL Database
  8. Azure SQL Data Warehouse

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Using “IN” Operator in DAX

IN operator in DAX

If you are a SQL guy I bet you’ve used “IN” operator zillions of times. You might also looked for the same functionality in DAX and I’m sure you’ve found fantastic blog posts showing you how to mimic the same functionality in DAX. The October release of Power BI Desktop is full of new analytics features such as Grouping, Binning and TOPN filtering. On top of that, one new awesome feature that is not documented at time of writing this article, or at least I haven’t find anything over the internet, is “IN” operator in DAX. In this post I show you how to use it in your DAX expressions.

Requirements

Note 1: You need to install SSMS2016 to be able to write DAX queries provided in this article. Alternatively, you can use DAX Studio . If for any reasons you cannot use SSMS 2016 or DAX Studio and you only have Power BI Desktop, don’t worry, I’ll provide some examples in Power BI Desktop as well.

Note 2: If you run previous versions of SQL Server it’s absolutely alright. There is nothing special in AdventureWorksDW2016CTP3 for this article that you don’t get in older versions of the sample database. But, keep in mind that SQL Server 2016 Developer Edition is now free and you can download it very easily. Check this out if you’re interested to see how.

Getting Started

After downloading the latest version of Power BI Desktop run it then

  • “Get Data” from SQL Server
  • From AdventureWorksDW2016CTP3 load “FactResellerSales”, “DimProduct”, “DimProductCategory”, “DimProductSubCategory” and “DimDate” to Power BI Desktop model
  • Find the local port of Power BI Desktop by opening “msmdsrv.port.txt” file from the following path:

“%UserProfile%\AppData\Local\Microsoft\Power BI Desktop\AnalysisServicesWorkspaces\AnalysisServicesWorkspaceXXXXXXXX\Data”

Note: The “XXXXXXXX” postfix is a random number. 

  • Open SSMS 2016 and connect to Power BI Desktop model as an Analysis Services local server. Do you want to learn more about how to connect your Power BI Desktop model from different software? Then check this out.

SSMS Connect to Power BI Desktop Model

  • Open an MDX new query
  • Run the following DAX query
EVALUATE
    SUMMARIZE('FactResellerSales'
                , DimDate[CalendarYear]
                , "Total Reseller Sales"
                , SUM('FactResellerSales'[SalesAmount])
                )

Here is the results:

Writing DAX in SSMS

Now we want to filter “CalendarYear” so that the query shows sales values for 2011 and 2012 only. One common scenario we had to do in prior versions of Power BI Desktop, Power Pivot or SSAS Tabular model was to use a logical OR operator “||” like below:

EVALUATE
FILTER(SUMMARIZE(FactResellerSales
                    , DimDate[CalendarYear]
                    , "Total Reseller Sales"
                    , sum(FactResellerSales[SalesAmount])
                    ) , DimDate[CalendarYear] = 2011 || DimDate[CalendarYear] = 2012
                    )

From now on we can write the above query using “IN” operator in DAX like below:

EVALUATE
    FILTER(
        SUMMARIZE(FactResellerSales
                    , DimDate[CalendarYear]
                    , "Total Reseller Sales"
                    , sum(FactResellerSales[SalesAmount])
                    ) 
            , DimDate[CalendarYear] 
                IN (2011, 2012)
            )

Here is the results:

IN operator in DAX

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