Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
Hi, I m new to PowerBi. Currently, I encountered an issue about getting data from one table to another table, below is my trouble:
| Table 1 | |||
| Case number | Description | Response | Resolution |
| 1234 | zzzzzzz | xxx | yyy |
| Table 2 | |||
| Number | Target | Wanted value | |
| 1234 | Response | xxx | |
| 1234 | Resolution | yyy |
Table 1 initially gets two column fields only, I want to add two columns "response" & "resolution" into it in which their value should be referred from table 2. Table 1 [Case number] & Table 2 [Number] formed the relationship.
Please help to advise how to proceed. Thanks !!
Solved! Go to Solution.
Hi @Royoam
Merge table1 and table2, then get the column value
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQyNlHSUaqCAKXYWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Case number" = _t, Description = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Case number", Int64.Type}, {"Description", type text}}),
#"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Case number"}, Table2, {"Number"}, "Table2", JoinKind.LeftOuter),
#"Added Custom" = Table.AddColumn(#"Merged Queries", "Response", each Table.SelectRows([Table2], each [Target]="Response")[Wanted value]{0}?),
#"Added Custom1" = Table.AddColumn(#"Added Custom", "Resolution", each Table.SelectRows([Table2], each [Target]="Resolution")[Wanted value]{0}?),
#"Removed Columns" = Table.RemoveColumns(#"Added Custom1",{"Table2"})
in
#"Removed Columns"
Or you can pivot table2 first, then merge two tables, no need to add columns, this is table2
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQyNlHSUQpKLS7IzytOBTIrKiqUYnWQZfJzSksy8/OAnMrKSqXYWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Number = _t, Target = _t, #"Wanted value" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Number", Int64.Type}, {"Target", type text}, {"Wanted value", type text}}),
#"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[Target]), "Target", "Wanted value")
in
#"Pivoted Column"
Hi @Royoam
Merge table1 and table2, then get the column value
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQyNlHSUaqCAKXYWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Case number" = _t, Description = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Case number", Int64.Type}, {"Description", type text}}),
#"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Case number"}, Table2, {"Number"}, "Table2", JoinKind.LeftOuter),
#"Added Custom" = Table.AddColumn(#"Merged Queries", "Response", each Table.SelectRows([Table2], each [Target]="Response")[Wanted value]{0}?),
#"Added Custom1" = Table.AddColumn(#"Added Custom", "Resolution", each Table.SelectRows([Table2], each [Target]="Resolution")[Wanted value]{0}?),
#"Removed Columns" = Table.RemoveColumns(#"Added Custom1",{"Table2"})
in
#"Removed Columns"
Or you can pivot table2 first, then merge two tables, no need to add columns, this is table2
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQyNlHSUQpKLS7IzytOBTIrKiqUYnWQZfJzSksy8/OAnMrKSqXYWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Number = _t, Target = _t, #"Wanted value" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Number", Int64.Type}, {"Target", type text}, {"Wanted value", type text}}),
#"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[Target]), "Target", "Wanted value")
in
#"Pivoted Column"
Hi @Royoam
Merge table1 and table2, then get the column value
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQyNlHSUaqCAKXYWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Case number" = _t, Description = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Case number", Int64.Type}, {"Description", type text}}),
#"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Case number"}, Table2, {"Number"}, "Table2", JoinKind.LeftOuter),
#"Added Custom" = Table.AddColumn(#"Merged Queries", "Response", each Table.SelectRows([Table2], each [Target]="Response")[Wanted value]{0}?),
#"Added Custom1" = Table.AddColumn(#"Added Custom", "Resolution", each Table.SelectRows([Table2], each [Target]="Resolution")[Wanted value]{0}?),
#"Removed Columns" = Table.RemoveColumns(#"Added Custom1",{"Table2"})
in
#"Removed Columns"
Or you can pivot table2 first, then merge two tables, no need to add columns, this is table2
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQyNlHSUQpKLS7IzytOBTIrKiqUYnWQZfJzSksy8/OAnMrKSqXYWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Number = _t, Target = _t, #"Wanted value" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Number", Int64.Type}, {"Target", type text}, {"Wanted value", type text}}),
#"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[Target]), "Target", "Wanted value")
in
#"Pivoted Column"
Thanks a lot...it works..
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.
Experience the highlights from FabCon & SQLCon, available live and on-demand starting April 14th.
| User | Count |
|---|---|
| 5 | |
| 3 | |
| 3 | |
| 3 | |
| 2 |
| User | Count |
|---|---|
| 7 | |
| 5 | |
| 5 | |
| 5 | |
| 4 |