Getting distinct values for multiple columns

[Abhaykumar]

Is there a way to get distinct values for multiple columns? Specifically, I want to replicate the following SQL query into PowerBI to create a new table:

SELECT DISTINCT Col1, Col2, Col3 FROM TableA;

I can find the DISTINCT keyword, but it only supports one column. 

[ankitpatira · Accepted solution]

@Abhaykumar You can also select individual columns in query editor and click Remove Duplicates.

[OlivierLam]

You can use the Table.Group function without any aggregation.
= Table.Group(Source, {"Col1", "Col2", "Col3"}, {})

[BrianVT]

Hi @ImkeF 

I followed your approach in this thread to create my first manual query in Power BI.  I wanted to create this list of distinct values from two different columns from two tables, so that I could use the newly created column as the relational data point between those two tables/columns.  However, I'm getting the ambiguity error when trying to relate the second column to it.  Is that not the purpose of creating this union list?  I also tried creating a table that did the same thing, and the ambiguity error popped up there as well.

Is there a way to create a stand alone column that is the list of unique values from two columns for the purpose of relating those two columns in one-to-many relationships?

[ImkeF]

Hi @BrianVT 

sorry, but I cannot follow.

Could you possibly post some sample data?

[BrianVT]

@ImkeF 

 = List.Distinct(List.Union({#"Obligations by FY"[Project Number],#"CJI3 Actual Cost Data"[Project Number]}))

So, that's the query I created.  In my model, I then try to create a relationship between this new column, and the two different "Project Number" columns, so that the new "Project Number" column can be used for filtering purposes in visuals.

I can create one relationship, but upon creating the second relationship, I get the error about ambiguous paths.  So, I can't do what I wanted with the new query/column. 

[BrianVT]

I guess I'll post a new question.  Was just trying to figure out a quick way to make the "one" side of my relationships for two tables that is dynamic, vs. manually joining them into a table to bring in on my own and having to manually refresh that table with new unique values all the time.  Creating the table within Power BI by joining the unique values from the two tables seemed like the easiest way to do it, which landed me here.

[nmakani]

Hi Brian, 

I have a similar use case  - were you able to figure this out?

[BrianVT]

Sorry, I can't remember what I ended up doing, and don't have access to that file anymore.  More than likely, I solved it via a PowerBI table function, rather than M code. 

I remember some situations where I would create a new table that was a union of two other tables, and then create another table that just references that union table (just one column), and somehow making my relationships off of this "3rd leg" table worked without the ambguity errors that happen when using that "in-between" table.  Can't remember if that was my fix for this situation, but you might give that a try.  It's some kind of loophole (at least it is in my mind; I'm sure someone smarter has a techncial explanation for why that works).

[achinm45 · Accepted solution]

Hi @Abhaykumar,

Use DAX and in DAX the function SUMMARIZE().

Summarize will pull out distinct values from columns.

So your resultset will be new table from Summarize

Table_Output =  Summarize(Table_IN,Col1,Col2,Col3)

I hope it helps !

BR,

Achin

[AdityaP]

perfect!

[GiveMeArrays]

Hi achinm45,

Receiving the following error when using your suggested function (below; names anonymized):

"The expression refers to multiple columns. Multiple columns cannot be converted to a scalar value."

SUMMARIZE(table,[col1],[col2],[col3])

Thank You!

[mwinds]

I'm getting the same thing. Did you find a solution?

[hugoss]

Despite the existence of many solutions in Power BI (Query Editor, DAX, etc), this seams to be the most elegante solution.
Thants for your hint @achinm45 

[Anonymous]

I am trying to create a table that shows the person's unique code, department and name.  I am using the Summarize function and am getting duplicates.  How do I exclude the duplicate that does not get associated with a department?

Table = Summarize('MO YTD Jan - June Revenue','MO YTD Jan - June Revenue'[Employee Code],'MO YTD Jan - June Revenue'[Department Name])

Thank you!

Kim

[ImkeF]

If you do it in DAX, just be aware that the full table must be loaded into the data model. Doing it in the query-editor using M would (mostly) fold back to the server, meaning that the SQL-server does the extraction and returns only the results to PBI to be loaded.

So if you need to load the full table anyway, DAX would probably be faster.

[Jswedberg]

You can also wrap a DISTINCT(SELECTCOLUMNS(table, "col1name", Col1fromtable, table, "col2name", Col2fromtable)

[ToFrai]

How can I copy distinct values from multiple columns into ONE single colum?

The shown above always created multiple columns into which the code copies the distinct values from each column.

Thanks!

[ImkeF]

This formula will create a list of distinct values in the query editor (where "Source" is the name of the table/previous step and column names in square brackets):

List.Distinct(List.Union({Source[Col1], Source[Col2], Source[Col3]})) 

Not sure if you want this as a standalone query or merge the resulting list with some other table?

[Anonymous]

Hi, 

I'm trying this solution to combine two columns of sales order numbers from two separate queries and get an error:

"Expression.SyntaxError: Invalid identifier"

here is my code:

= list.distinct(list.union({"ZSD026 - Sales Analysis Report"[#"Sales Order No"],"ZSD029 - Invoice Report Material Level"[#"Sales Order No"}))

[ImkeF]

Hi @Anonymous ,

the M-language is case sensitive.

---

---

[Anonymous]

Hi ,

I'm trying this M code and getting an error "Expression.SyntaxError: Invalid identiffier"

Here is the code I'm entering to try and combine sales order number lists from two separate queries:

= list.distinct(list.union({"ZSD026 - Sales Analysis Report"[#"Sales Order No"],"ZSD029 - Invoice Report Material Level"[#"Sales Order No"}))