Quick Tips: Converting Hexadecimal, Oct and Binary to Decimal in a Single Power Query Function

A Power Query Function to Convert HEX, OCT and BIN values to DEC

A while ago I wrote a blogpost on how to use Unicode characters in Power BI. In that blogpost I used a recursive Power Query function to convert Hex values to Dec values. A few weeks back one of my site visitors kindly shared his non-recursive version of Power Query function which beautifully does the job. A big shout out to Rocco Lupoi for sharing his code. So, I decided to share it with everyone so more people can leverage his nice Power Query function. I have touched his code a bit though, but it was more of a cosmetic change, so all credits of this blogpost goes to Rocco. The benefits of his code is not limited to being non-recursive. The code below converts numbers of any base when the base is smaller than 16 like Binary and Oct, so it is not limited to Hex values only. The other benefit of the below code is that it is not case sensitive (note to the digits step on the code below).

Here is the fnHex2Dec function for Power Query:

(input as text, optional base as number) as number =>
let
        values = [
                0=0,
                1=1,
                2=2,
                3=3,
                4=4,
                5=5,
                6=6,
                7=7,
                8=8,
                9=9,
                A=10,
                B=11,
                C=12,
                D=13,
                E=14,
                F=15
        ],
        digits = Text.ToList(Text.Upper(input)),
        dim = List.Count(digits)-1,
        exp = if base=null then 16 else base,
        Result = List.Sum(
                        List.Transform(
                                {0..dim}
                                , each Record.Field(values, digits{_}) * Number.Power(exp, dim - _)
                                )
                        )
in
        Result

As you see in the code above, the base parameter is optional, so if not provided base 16 would be the default.

This is how we can invoke the above function:

fnHex2Dec("AbCdEf", null)
Invoking fnHex2Dec function to convert numbers of any base to decimal
Continue reading “Quick Tips: Converting Hexadecimal, Oct and Binary to Decimal in a Single Power Query Function”

What Does XMLA Endpoints Mean for Power BI and How to Test it for Free?

Test Environment from Power BI XMLA Endpoint

XMLA endpoint connectivity for public preview has been announced late March 2019. As at today, it is only available for Power BI Premium capacity users. This sounds like a massive restriction to a lot of people who don’t have a Premium capacity, but they’d love to see how it works. In this article I show you an easy way to get your hands to Power BI XMLA endpoint as quick as possible. Before I start, I’d like to simply explain what XMLA endpoint is and what it really means for Power BI users.

Power BI is Like Onion! It has layers!

Generally speaking, Power BI has two different layers, presentation layer and data model layer. Presentation layer is the visual layer, the one you make all those compelling reports and visualisations. The data model as the name resembles, is the layer that you make your data model in. This layer is the one you can access it via XMLA connectivity.

In a Power BI Desktop file, you can see both layers:

Different layers of Power BI

How XMLA Relates to Different Layers in Power BI?

As you may have already guessed, XMLA is only related to the data model layer and it has nothing to do with the presentation layer. So you may connect to a data model, browse the data model, import data from the model to other platforms like Excel and so forth.

XMLA Is Not New!

Seriously? Yes, seriously. It is not new. It’s been around for many years and perhaps you’ve already used it zillions of times. Whenever you’re connecting to an instance of SQL Server Analysis Services, either Multidimensional or Tabular from any tools like SQL Server Management Studio (SSMS), Power BI Report Builder, Excel, Tableau, etc…, you’re using XMLA connectivity indeed.

Power BI is an Instance of SSAS Tabular

It is true. Power BI runs a local instance of SSAS Tabular model. So, whenever you open a Power BI Desktop file (PBIX), Power BI creates a local instance of SSAS Tabular model with a random local port number that can be accessed on your local machine only. When you close the file, the local instance of SSAS Tabular is shut down and its port number is released.

I first revealed the fact that you can connect to the underlying data model in Power BI Desktop from whole different range of tools like SSMS, SQL Server Profiler, Excel, etc… on Jun 2016. So, we indeed were using XMLA to connect to Power BI data models for a long time. We can even take a step further to import our Power BI data models into an instance of SSAS Tabular. In that sense, we are literally generating XMLA scripts from Power BI to create the same data model in SSAS Tabular. How cool is that?

Sooo… What is new then?

Continue reading “What Does XMLA Endpoints Mean for Power BI and How to Test it for Free?”

Quick Tips: Time Dimension with Granularity of Seconds in Power BI and Analysis Services Tabular Models

Quick Tips: Time Dimension with Granularity of Seconds in Power BI and Analysis Services Tabular Models
Photo by Markus Spiske

In an article I posted a while back I showed different methods of creating Time dimension in Power BI and Tabular models. The Time dimension I explained was in Minutes. In this post I show you simple way to create Time dimension supporting Seconds. As this is a quick tip, I only show you how to get the Time and ID columns in the Time dimension. If you need to add time bands (time buckets) check this out for more details.

Time Dimension in Seconds Grain with Power Query (M):

Copy/paste the code below in Advanced Editor to generate Time dimension in Power Query:

let
Source = Table.FromList({1..86400}, Splitter.SplitByNothing()),
#"Renamed Columns" = Table.RenameColumns(Source,{{"Column1", "ID"}}),
#"Time Column Added" = Table.AddColumn(#"Renamed Columns", "Time", each Time.From(#datetime(1970,1,1,0,0,0)+#duration(0,0,0,[ID]))),
#"Changed Type" = Table.TransformColumnTypes(#"Time Column Added",{{"ID", Int64.Type}, {"Time", type time}})
in
#"Changed Type" 
Time Dimension in Power Query

Time Dimension in Seconds Grain with DAX:

Run the DAX expression below in a new calculated Table in Power BI or SSAS Tabular model:

Time in DAX = ADDCOLUMNS(
                       GENERATESERIES(1, 86400, 1)
                        , "Time", TIME(0, 0, 0) + [Value]/86400
                        )
Time Dimension in Seconds Level with DAX
Continue reading “Quick Tips: Time Dimension with Granularity of Seconds in Power BI and Analysis Services Tabular Models”

Exporting Data from Power BI Desktop to Excel and CSV – Part 2: Importing Power BI Data Directly to Excel

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Update 2019 April: If you’re interested in exporting the data model from either Power BI Desktop or Power BI Service to CSV or SQL Server check this out. The method explained here is only applicable for Power BI Premium or Embedded capacities with XMLA endpoints connectivity.

In my previous post I explained how to copy and paste data from Power BI Desktop into Excel or CSV. I also explained how easy you can export Power BI Desktop data to CSV using DAX Studio. As I promised, in this post I show you how to import Power BI Desktop data to Excel directly. In this method you don’t need to use any third-party software and the performance is much better than the previous methods.

Note: The method I explain in this post is tested in Excel 2016 only. But, it should work for Excel 2013.

Importing Power BI Desktop Directly to Excel

In one of my previous posts I explained how to connect to a Power BI Desktop from Excel. To import Power BI Desktop data to Excel we have to do the same thing. I explain the way to connect to a Power BI Desktop model directly from Excel, then I show you how to use this method to import Power BI Desktop data.

Finding Power BI Desktop local port number from Power BI Desktop temp directory

We can find Power BI Desktop local port number in number of ways explained here. So in this post I don’t go through all methods.

Whenever we run Power BI Desktop, it opens a random port number. The port number is independent of the model so it doesn’t really matter if  we haven’t connected to any data sources or even if we haven’t open any saved Power BI Desktop (*.PBIX) files. That port number is stored in a text file named “msmdsrv.port.txt”. So the only thing we need is to do is to browse the temp directory of Power BI Desktop and open the “msmdsrv.port.txt” text file. You can find Power BI Desktop temp folder here:

%LocalAppData%\Microsoft\Power BI Desktop\AnalysisServicesWorkspaces

There should be an “AnalysisServicesWorkspaceXXX” folder which XXX is a random number. Open that folder then open “Data” and Find “msmdsrv.port.txt”. Open the file to see Power BI Desktop local port number.

image

Continue reading “Exporting Data from Power BI Desktop to Excel and CSV – Part 2: Importing Power BI Data Directly to Excel”