Forum Discussion
BarrySmithCONSL
6 years agoNew Member
Using Power Query M Formula, from within TABLE_A, count related rows in TABLE_B
From within [TRANSACTION], I need to, in the most efficient method possible, count the rows (there may be none) in [PERSON], via the field [PersonID]. I've searched, but, all the functions I've found seem to relate to the table I am working on, unless I'm completely misreading the articles.
TABLEs:
[TRANSACTION] > TransactionID, PersonID
[PERSON] > PersonID
3 Replies
- Jimmy801Community Champion
Hello BarrySmithCONSL
try some merging and transforming like this
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSAeJYnWglIzjLGMgyArNMgCxjMMsUyDIBs8yALFMwyxzOsgCyzJRiYwE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [TransactionID = _t, PersonID = _t]), PERSON = let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlSK1cFGGuEgjTFIE6XYWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [PersonID = _t]) in Source, #"Merged Queries" = Table.NestedJoin ( Source, {"PersonID"}, PERSON, {"PersonID"}, "PERSON", JoinKind.LeftOuter ), Transform = Table.TransformColumns ( #"Merged Queries", {{"PERSON", each if Table.IsEmpty(_) then 0 else Table.RowCount(_)}} ) in TransformIf this post helps or solves your problem, please mark it as solution.
Kudos are nice to - thanks
Have fun
Jimmy - AnonymousNot applicable
You could use Table.Rowcount(Table.SelectRows(TRANSACTION, each List.Contains(PERSON[PersonID], [PersonID])))
- Jimmy801Community Champion