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Anonymous
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7 years ago
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Data model join issue

I have two tables that join where two columns equal or one column is null.  In SQL I would construct the join as such:

 

Select * 

From Table_A

     join Table_B

        on (Table_A.column1 = Table_B.column1

            or Table_A.column1 is null)

             and Table_A.column2 = Table_B.column2

 

Is there a similar way to handle this in Power BI?  Or do I need to join these tables together through the Advanced Options with a sql statement?

 

 

  • Hi Anonymous

     

    You may get the table in query editor with 'Merge Queries' Function or new a table with dax. Show the sample file here for your reference.

    First way in Query Edtior.

    let
        Source = Table.NestedJoin(TableA,{"Column2"},TableB,{"Column2"},"TableB",JoinKind.LeftOuter),
        #"Expanded TableB" = Table.ExpandTableColumn(Source, "TableB", {"Column1", "Column2"}, {"TableB.Column1", "TableB.Column2"}),
        #"Added Conditional Column" = Table.AddColumn(#"Expanded TableB", "Custom", each if [Column1] = [TableB.Column1] then [Column1] else if [Column1] = null then null else "delete"),
        #"Filtered Rows" = Table.SelectRows(#"Added Conditional Column", each ([Custom] <> "delete")),
        #"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Custom"})
    in
        #"Removed Columns"

    Second way in Dax.

    TableA (2) =
    VAR t =
        ADDCOLUMNS (
            TableA,
            "column1_B", LOOKUPVALUE ( TableB[Column1], TableB[Column2], TableA[Column2] ),
            "column2_B", LOOKUPVALUE ( TableB[Column2], TableB[Column2], TableA[Column2] )
        )
    RETURN
        FILTER ( t, TableA[Column1] = [column1_B] || TableA[Column1] = BLANK () )

    Regards,

    Cherie

     

1 Reply

  • v-cherch-msft's avatar
    v-cherch-msft
    Microsoft Employee

    Hi Anonymous

     

    You may get the table in query editor with 'Merge Queries' Function or new a table with dax. Show the sample file here for your reference.

    First way in Query Edtior.

    let
        Source = Table.NestedJoin(TableA,{"Column2"},TableB,{"Column2"},"TableB",JoinKind.LeftOuter),
        #"Expanded TableB" = Table.ExpandTableColumn(Source, "TableB", {"Column1", "Column2"}, {"TableB.Column1", "TableB.Column2"}),
        #"Added Conditional Column" = Table.AddColumn(#"Expanded TableB", "Custom", each if [Column1] = [TableB.Column1] then [Column1] else if [Column1] = null then null else "delete"),
        #"Filtered Rows" = Table.SelectRows(#"Added Conditional Column", each ([Custom] <> "delete")),
        #"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Custom"})
    in
        #"Removed Columns"

    Second way in Dax.

    TableA (2) =
    VAR t =
        ADDCOLUMNS (
            TableA,
            "column1_B", LOOKUPVALUE ( TableB[Column1], TableB[Column2], TableA[Column2] ),
            "column2_B", LOOKUPVALUE ( TableB[Column2], TableB[Column2], TableA[Column2] )
        )
    RETURN
        FILTER ( t, TableA[Column1] = [column1_B] || TableA[Column1] = BLANK () )

    Regards,

    Cherie