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ryan_b_123's avatar
ryan_b_123
Frequent Visitor
4 years ago
Solved

Merge two tables as a list

I would like to join Table 2 (Team ID) onto Table 1 (Team ID) and add a list of names retrieved from the join (rather than a row for each match).  Appreciate the help!

 

Table 1

Shipment IDTeam ID
1A
2B
3C
4A

 

Table 2

NameTeam ID
BillyA
JohnA
LisaB
CarlosC
MichelleC
TitoC

 

End Result

Shipment IDTeam IDNames
1A[Billy, John]
2B[Lisa]
3C[Carlos, Michelle, Tito]
4A[Billy, John]
  • HI ryan_b_123 ,

    Please try this in Power Query :

    1) Modify Table 2 as shown below. Perform a Group by operation on Team ID and then concatenate names into a single row. 

    Table 2 : 

     

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcsrMyalU0lFyVIrViVbyys/Ig3N8MosTgRwnMMc5sSgnvxjIdQZzfTOTM1JzclLhAiGZJfkQTiwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t, #"Team ID" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}, {"Team ID", type text}}),
        #"Grouped Rows" = Table.Group(#"Changed Type", {"Team ID"}, {{"Count", each _, type table [Name=nullable text, Team ID=nullable text]}}),
        #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each [Count][Name]),
        #"Extracted Values" = Table.TransformColumns(#"Added Custom", {"Custom", each Text.Combine(List.Transform(_, Text.From), " , "), type text}),
        #"Removed Columns" = Table.RemoveColumns(#"Extracted Values",{"Count"})
    in
        #"Removed Columns"

     

     

    2) Navigate to Table 1. Merge Table 1 and 2 using Team ID.

    3) Expand Table 2 from the join. You need to extract only the list of names (column "Custom")

    4) This will give you the final result 

    Table 1 :

     

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXJUitWJVjICspzALGMgyxnMMoHIxgIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Shipment ID" = _t, #"Team ID" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Shipment ID", Int64.Type}, {"Team ID", type text}}),
        #"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Team ID"}, Names, {"Team ID"}, "Names", JoinKind.LeftOuter),
        #"Expanded Names" = Table.ExpandTableColumn(#"Merged Queries", "Names", {"Custom"}, {"Custom"})
    in
        #"Expanded Names"

     

    Kind regards,

    Rohit


    Please mark this answer as the solution if it resolves your issue.
    Appreciate your kudos! 🙂

2 Replies

  • HI ryan_b_123 ,

    Please try this in Power Query :

    1) Modify Table 2 as shown below. Perform a Group by operation on Team ID and then concatenate names into a single row. 

    Table 2 : 

     

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcsrMyalU0lFyVIrViVbyys/Ig3N8MosTgRwnMMc5sSgnvxjIdQZzfTOTM1JzclLhAiGZJfkQTiwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t, #"Team ID" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}, {"Team ID", type text}}),
        #"Grouped Rows" = Table.Group(#"Changed Type", {"Team ID"}, {{"Count", each _, type table [Name=nullable text, Team ID=nullable text]}}),
        #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each [Count][Name]),
        #"Extracted Values" = Table.TransformColumns(#"Added Custom", {"Custom", each Text.Combine(List.Transform(_, Text.From), " , "), type text}),
        #"Removed Columns" = Table.RemoveColumns(#"Extracted Values",{"Count"})
    in
        #"Removed Columns"

     

     

    2) Navigate to Table 1. Merge Table 1 and 2 using Team ID.

    3) Expand Table 2 from the join. You need to extract only the list of names (column "Custom")

    4) This will give you the final result 

    Table 1 :

     

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXJUitWJVjICspzALGMgyxnMMoHIxgIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Shipment ID" = _t, #"Team ID" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Shipment ID", Int64.Type}, {"Team ID", type text}}),
        #"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Team ID"}, Names, {"Team ID"}, "Names", JoinKind.LeftOuter),
        #"Expanded Names" = Table.ExpandTableColumn(#"Merged Queries", "Names", {"Custom"}, {"Custom"})
    in
        #"Expanded Names"

     

    Kind regards,

    Rohit


    Please mark this answer as the solution if it resolves your issue.
    Appreciate your kudos! 🙂

    • AlexisOlson's avatar
      AlexisOlson
      Super User

      ryan_b_123 rohit_singh 

       

      This can be done in a single step if you modify the Group By aggregation to use Text.Combine.

      let
          Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcsrMyalU0lFyVIrViVbyys/Ig3N8MosTgRwnMMc5sSgnvxjIdQZzfTOTM1JzclLhAiGZJfkQTiwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t, #"Team ID" = _t]),
          #"Grouped Rows" = Table.Group(Source, {"Team ID"}, {{"Names", each Text.Combine([Name], ", "), type nullable text}})
      in
          #"Grouped Rows"