Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by watching the DP-600 session on-demand now through April 28th.
Learn moreJoin the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now
I am attempting to merge two tables (with the left table already having been merged previously creating a table column). I am wanting to merge these tables without first expanding the column that is being used in that merge.
I have attempted to use Table02[Column2] as the column name, but I guess it doesn't like that.
To which turns into the error:
Expression.Error: We cannot convert a value of type List to type Text.
Details:
Value=[List]
Type=[Type]
So my questions are:
Solved! Go to Solution.
Hi @HelpWanted ,
If I understood well what you are trying to do :
table2:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WyjZU0lEqMUo2KjJUitUB8o1gfCOl2FgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t])
in
Sourcetable3:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WyjZU0lEqMU42KjJUitUB8o1gfCMI3xjKLzFWio0FAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t])
in
Sourcemerge table with t1 & t2:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WyjZU0lEqMUw2KjJUitUB8o1gfCOl2FgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t]),
#"Merged Queries" = Table.NestedJoin(Source, {"Column1"}, T2, {"Column1"}, "T2", JoinKind.LeftOuter),
Custom1 = Table.TransformColumns(
#"Merged Queries",
{
{"T2",
each Table.NestedJoin(_, {"Column1"}, T3, {"Column1"}, "T3", JoinKind.LeftOuter)
}
}
),
#"Expanded T2" = Table.ExpandTableColumn(Custom1, "T2", {"Column2", "T3"}, {"T2.Column2", "T2.T3"}),
#"Expanded T2.T3" = Table.ExpandTableColumn(#"Expanded T2", "T2.T3", {"Column2"}, {"T2.T3.Column2"})
in
#"Expanded T2.T3"
Hi @HelpWanted ,
If I understood well what you are trying to do :
table2:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WyjZU0lEqMUo2KjJUitUB8o1gfCOl2FgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t])
in
Sourcetable3:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WyjZU0lEqMU42KjJUitUB8o1gfCMI3xjKLzFWio0FAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t])
in
Sourcemerge table with t1 & t2:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WyjZU0lEqMUw2KjJUitUB8o1gfCOl2FgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t]),
#"Merged Queries" = Table.NestedJoin(Source, {"Column1"}, T2, {"Column1"}, "T2", JoinKind.LeftOuter),
Custom1 = Table.TransformColumns(
#"Merged Queries",
{
{"T2",
each Table.NestedJoin(_, {"Column1"}, T3, {"Column1"}, "T3", JoinKind.LeftOuter)
}
}
),
#"Expanded T2" = Table.ExpandTableColumn(Custom1, "T2", {"Column2", "T3"}, {"T2.Column2", "T2.T3"}),
#"Expanded T2.T3" = Table.ExpandTableColumn(#"Expanded T2", "T2.T3", {"Column2"}, {"T2.T3.Column2"})
in
#"Expanded T2.T3"
Check out the April 2026 Power BI update to learn about new features.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
| User | Count |
|---|---|
| 3 | |
| 3 | |
| 3 | |
| 2 | |
| 2 |
| User | Count |
|---|---|
| 8 | |
| 6 | |
| 5 | |
| 5 | |
| 4 |