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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?
Solved! Go to Solution.
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
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
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