Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowTry your skills in the Power BI Dataviz World Championship! Round one ends June 26. Join now
I am having trouble merging queries that have partial data. I am trying to merge Queries B and C with Query A. The end result will create 2 columns for "Sales". I would like "Sales" to be in the same column. Also, I know appending B and C would solve for the sample data, but this will not work for my actual data so let's assume appending is not an option. Here are my sample Queries:
Query A
| Name | Week Number |
| Jon | 1 |
| Jack | 1 |
| Hank | 1 |
| Jill | 1 |
| Jon | 2 |
| Jack | 2 |
| Hank | 2 |
| Jill | 2 |
Query B
| Name | Week Number | Sales |
| Jon | 1 | 50 |
| Jack | 1 | 30 |
| Hank | 1 | 60 |
| Jill | 1 | 70 |
Query C
| Name | Week Number | Sales |
| Jon | 2 | 75 |
| Jack | 2 | 35 |
| Hank | 2 | 65 |
| Jill | 2 | 45 |
Actual Result
| Name | Week Number | Sales | Sales 1 |
| Jon | 1 | 50 | |
| Jack | 1 | 30 | |
| Hank | 1 | 60 | |
| Jill | 1 | 70 | |
| Jon | 2 | 75 | |
| Jack | 2 | 35 | |
| Hank | 2 | 65 | |
| Jill | 2 | 45 |
Desired Result
| Name | Week Number | Sales |
| Jon | 1 | 50 |
| Jack | 1 | 30 |
| Hank | 1 | 60 |
| Jill | 1 | 70 |
| Jon | 2 | 75 |
| Jack | 2 | 35 |
| Hank | 2 | 65 |
| Jill | 2 | 45 |
Thank you in advance for your help!
Solved! Go to Solution.
Hi @Anonymous
I'm sure you could write M function to do it, but the easiest solution would be merging all your tables, expanding and later merging the columns together as below.
Why append is not an option?
let
Source = Table.NestedJoin(#"Query A", {"Name", "Week Number"}, #"Query B", {"Name", "Week Number"}, "Query B", JoinKind.LeftOuter),
#"Expanded Query B" = Table.ExpandTableColumn(Source, "Query B", {"Sales"}, {"Query B.Sales"}),
#"Merged Queries" = Table.NestedJoin(#"Expanded Query B", {"Name", "Week Number"}, #"Query C", {"Name", "Week Number"}, "Query C", JoinKind.LeftOuter),
#"Expanded Query C" = Table.ExpandTableColumn(#"Merged Queries", "Query C", {"Sales"}, {"Query C.Sales"}),
#"Merged Queries1" = Table.NestedJoin(#"Expanded Query C", {"Name", "Week Number"}, #"Query D", {"Name", "Week Number"}, "Query D", JoinKind.LeftOuter),
#"Expanded Query D" = Table.ExpandTableColumn(#"Merged Queries1", "Query D", {"Sales"}, {"Query D.Sales"}),
#"Merged Columns" = Table.CombineColumns(Table.TransformColumnTypes(#"Expanded Query D", {{"Query B.Sales", type text}, {"Query C.Sales", type text}, {"Query D.Sales", type text}}, "en-GB"),{"Query B.Sales", "Query C.Sales", "Query D.Sales"},Combiner.CombineTextByDelimiter("", QuoteStyle.None),"Merged")
in
#"Merged Columns"
Hi @Anonymous
I'm sure you could write M function to do it, but the easiest solution would be merging all your tables, expanding and later merging the columns together as below.
Why append is not an option?
let
Source = Table.NestedJoin(#"Query A", {"Name", "Week Number"}, #"Query B", {"Name", "Week Number"}, "Query B", JoinKind.LeftOuter),
#"Expanded Query B" = Table.ExpandTableColumn(Source, "Query B", {"Sales"}, {"Query B.Sales"}),
#"Merged Queries" = Table.NestedJoin(#"Expanded Query B", {"Name", "Week Number"}, #"Query C", {"Name", "Week Number"}, "Query C", JoinKind.LeftOuter),
#"Expanded Query C" = Table.ExpandTableColumn(#"Merged Queries", "Query C", {"Sales"}, {"Query C.Sales"}),
#"Merged Queries1" = Table.NestedJoin(#"Expanded Query C", {"Name", "Week Number"}, #"Query D", {"Name", "Week Number"}, "Query D", JoinKind.LeftOuter),
#"Expanded Query D" = Table.ExpandTableColumn(#"Merged Queries1", "Query D", {"Sales"}, {"Query D.Sales"}),
#"Merged Columns" = Table.CombineColumns(Table.TransformColumnTypes(#"Expanded Query D", {{"Query B.Sales", type text}, {"Query C.Sales", type text}, {"Query D.Sales", type text}}, "en-GB"),{"Query B.Sales", "Query C.Sales", "Query D.Sales"},Combiner.CombineTextByDelimiter("", QuoteStyle.None),"Merged")
in
#"Merged Columns"
| User | Count |
|---|---|
| 23 | |
| 22 | |
| 21 | |
| 18 | |
| 11 |
| User | Count |
|---|---|
| 56 | |
| 54 | |
| 43 | |
| 36 | |
| 34 |