Merge Missing Matching Rows

[MFurlongSTRAD]

Hello there,

I am trying to Merge two tables. Table 1 "US_Det_Cust_Ledg" (fig. 1) has been filtered a couple of times and Grouped By [Cust Ledger Entry No] (fig. 2) which is the foreign key linking it to Table 2 "US_Cust_Ledg_Entry"[Entry No_] (fig. 3). 

I am trying to do "US_Det_Cust_Ledg" Left Outer Join "US_Cust_Ledg_Entry" where [Cust Ledger Entry No] = [Entry No_] (fig. 4). I have confirmed by exporting to Excel that all rows in each table have matching IDs. However, after this merge I end up with several null values coming through (fig. 5). I'm thinking it might have to do with the Group By previously performed in "US_Det_Cust_Ledg", but I don't really know.

What am I doing wrong here? Screenshots and code below. 

Thank you in advance!

Fig. Fig 1. US_Det_Cust_Ledg (Original)Fig. 2 US_Det_Cust_Ledg (Grouped)Fig. 3 US_Cust_Ledg_EntryFig. 4 Merge (Left Outer)Fig 5. null Values ReturnedFig 6. Proof of Matching Values

let
    Source = #"SQL4: STRENE_NAV2017_PROD",
    #"Filtered Rows" = Table.SelectRows(Source, each Text.Contains([Name.2], "Detailed Cust_ ")),
    #"dbo_Strad Oilfield Services Inc_$Detailed Cust_ Ledg_ Entry" = #"Filtered Rows"{[Schema="dbo",Item="Strad Oilfield Services Inc_$Detailed Cust_ Ledg_ Entry"]}[Data],
    #"Removed Other Columns" = Table.SelectColumns(#"dbo_Strad Oilfield Services Inc_$Detailed Cust_ Ledg_ Entry",{"Cust_ Ledger Entry No_", "Posting Date", "Document No_", "Amount", "Customer No_"}),
    #"Changed Type" = Table.TransformColumnTypes(#"Removed Other Columns",{{"Posting Date", type date}, {"Amount", Currency.Type}}),
    #"Renamed Columns" = Table.RenameColumns(#"Changed Type",{{"Cust_ Ledger Entry No_", "Cust Ledger Entry No"}}),
    #"Added INCLUDE" = Table.AddColumn(#"Renamed Columns", "Include", each if [Posting Date] > #"Report Date" then "False" else "True"),
    #"Filter Include = True" = Table.SelectRows(#"Added INCLUDE", each [Include] = "True"),
    #"Grouped Rows by Cust Ledger Entry No" = Table.Group(#"Filter Include = True", {"Cust Ledger Entry No"}, {{"Amount", each List.Sum([Amount]), type number}}),
    #"Filter Amount <> 0" = Table.SelectRows(#"Grouped Rows by Cust Ledger Entry No", each [Amount] <> 0),
    #"Changed Type1" = Table.TransformColumnTypes(#"Filter Amount <> 0",{{"Cust Ledger Entry No", type number}}),
    #"Merged Queries" = Table.NestedJoin(#"Changed Type1",{"Cust Ledger Entry No"},US_Cust_Ledg_Entry,{"Entry No_"},"US_Cust_Ledg_Entry",JoinKind.LeftOuter),
    #"Expanded US_Cust_Ledg_Entry" = Table.ExpandTableColumn(#"Merged Queries", "US_Cust_Ledg_Entry", {"Customer No_", "Posting Date", "Document No_", "Open"}, {"Customer No_", "Posting Date", "Document No_", "Open"}),
    #"Filtered Rows1" = Table.SelectRows(#"Expanded US_Cust_Ledg_Entry", each ([Open] = null))
in
    #"Filtered Rows1"

Fig. 7 Code for US_Det_Cust_Ledg

[TomMartens]

Hey,

what is your expected result?

Please describe your expected (desired outcome in more detail). You also might to consider to prepare a xlsx file with some sample data, upload the file to onedrive or dropbox and share the link.

A merge operation combines the columns of two tables. The table that you choose as first table can be "considered" as the table on the left side of the join. This means for all the rows that do not have a match inside the table from the right side there will be null values for the columns coming from the table on the right side.

Regards,

Tom