Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.

Reply
Guillemje
Regular Visitor

Merge two Queries - horitzontal data and vertical data

Hi,

   I hope someone can help me with following issue.

   In Query A there are the customers with the products that are buying. In Query B there are the prices per Product. I would like to merge both Queries in order to identify the Price per Product per Customer. 

   Query A:

    Capture 1.PNG

    Query B:

Capture 2.PNG

 

   Any ideas?

  Thanks for your help.

3 REPLIES 3
dax
Community Support
Community Support

Hi Guillemje,

You could try below M code to acheve this goal.

Unpivot column in Query A

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUcrTTwSSBUZ6hiDKGEwVKsXqRCs5gQQMwQJQRcZ6RkCqHCzrDJE1gmg2gkgbA6lUpdhYAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [customer = _t, p1 = _t, p2 = _t, p3 = _t, address = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"customer", type text}, {"p1", type text}, {"p2", type text}, {"p3", type text}, {"address", type text}}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"customer", "address"}, "Attribute", "Value")
in
    #"Unpivoted Columns"

Query B M code

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WKjDUM1TSUTI0UIrVAfOMgDwjKM8ILGcM54HkTKA8Y7CcEZxnhKTSWM8YyDMF8mIB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"p description" = _t, amount = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"p description", type text}, {"amount", Int64.Type}})
in
    #"Changed Type"

Then merge two tables in new table like below

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUcrTTwSSBUZ6hiDKGEwVKsXqRCs5gQQMwQJQRcZ6RkCqHCzrDJE1gmg2gkgbA6lUpdhYAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [customer = _t, p1 = _t, p2 = _t, p3 = _t, address = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"customer", type text}, {"p1", type text}, {"p2", type text}, {"p3", type text}, {"address", type text}}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"customer", "address"}, "Attribute", "Value")
in
    #"Unpivoted Columns"

 The you will  get  result like below

430.PNG

Best Regards,
Zoe Zhi

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

Anonymous
Not applicable

Don't you have any quantities?

Hi Sang,

 

  The quantites are in Query A as several columns per product: "Quantity Product A", Quantity Product B" and so on.

 

Br,

G.

Helpful resources

Announcements
Microsoft Fabric Learn Together

Microsoft Fabric Learn Together

Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City

PBI_APRIL_CAROUSEL1

Power BI Monthly Update - April 2024

Check out the April 2024 Power BI update to learn about new features.

April Fabric Community Update

Fabric Community Update - April 2024

Find out what's new and trending in the Fabric Community.

Top Solution Authors