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

A new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.

Reply
Syndicate_Admin
Administrator
Administrator

Power Query delete row if value found in another column

Hi, I’m very new to power query but just can’t find a suitable solution. I need to remove a row if the same value exists in another column. I know I need a conditional statement then a filter but just don’t know how to put it all together. So if ID B exists in ID A remove the corresponding ID A row.

ID A.    ID B

1      
2

3

4         1

5         3


so here the first and third row in ID A would be removed. I would want to keep the row where the value is duplicated in ID B

 

thanks for any advice.

1 ACCEPTED SOLUTION
sevenhills
Super User
Super User

Try this:

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUVKK1YlWMoIxjGEMEyDDEMwyBbKMlWJjAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"ID A" = _t, #"ID B" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"ID A", Int64.Type}, {"ID B", Int64.Type}}),
    #"Merged Queries" = Table.NestedJoin(#"Changed Type", {"ID A"}, #"Changed Type", {"ID B"}, "Changed Type", JoinKind.LeftAnti),
    #"Removed Columns" = Table.RemoveColumns(#"Merged Queries",{"Changed Type"})
in
    #"Removed Columns"

 

Input:

sevenhills_0-1702420174792.png

 

 

Output:

sevenhills_1-1702420195456.png

 

Explanation:

You are joining back to the same table you are in and do the left anti.

 

sevenhills_2-1702420263228.png

 

Hope this helps!

View solution in original post

4 REPLIES 4
wdx223_Daniel
Community Champion
Community Champion

=Table.SelectRows(YourTable,each not List.Contains(YourTable[ID B],[ID A]))

Thanks - I'm still getting my head around all the functions available so good to know some new ones.

sevenhills
Super User
Super User

Try this:

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUVKK1YlWMoIxjGEMEyDDEMwyBbKMlWJjAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"ID A" = _t, #"ID B" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"ID A", Int64.Type}, {"ID B", Int64.Type}}),
    #"Merged Queries" = Table.NestedJoin(#"Changed Type", {"ID A"}, #"Changed Type", {"ID B"}, "Changed Type", JoinKind.LeftAnti),
    #"Removed Columns" = Table.RemoveColumns(#"Merged Queries",{"Changed Type"})
in
    #"Removed Columns"

 

Input:

sevenhills_0-1702420174792.png

 

 

Output:

sevenhills_1-1702420195456.png

 

Explanation:

You are joining back to the same table you are in and do the left anti.

 

sevenhills_2-1702420263228.png

 

Hope this helps!

Thanks, I appreciate you explaining the logic behind it. Really useful.  

Helpful resources

Announcements
May Power BI Update Carousel

Power BI Monthly Update - May 2026

Check out the May 2026 Power BI update to learn about new features.

Fabric SQL PBI Data Days

Data Days 2026 coming soon!

Sign up to receive a private message when registration opens and key events begin.

New to Fabric survey Carousel

New to Fabric Survey

If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.