Forum Discussion
How to hide/remove duplicates based on condition
I'm guessing that it eliminated duplicates for each file individually but there were duplicates across files. I guess you do have to de-duplicate after combining the files then.
In this case, you use the same code (with any step references adjusted, e.g. #"Merge Columns" --> #"Inserted Merged Column") but put it at the end of the FreightForward v2 query rather than the Transform Files (2) function.
If you're going to use a database eventually, you might want to try approach #4 from my blog post.
OK. Then you can either do the manual merge in the transform before referencing it or else do all of the logic in the big query rather than the function component.
Hi AlexisOlson , I tried option 3 by doing all of the logic in the big query but its still processing the first step "Group by" for over 30min now and still going...
Can you please provide screenshots of the code and the exact steps using the function component method so we can save time?
I tried manually adding merge step in function component but kept getting same error i.e. "[JobID+Ticket] column not found"...
I'm guessing that it eliminated duplicates for each file individually but there were duplicates across files. I guess you do have to de-duplicate after combining the files then.
In this case, you use the same code (with any step references adjusted, e.g. #"Merge Columns" --> #"Inserted Merged Column") but put it at the end of the FreightForward v2 query rather than the Transform Files (2) function.
If you're going to use a database eventually, you might want to try approach #4 from my blog post.
You've got a big dataset from a non-database source. I wouldn't expect to be very fast regardless of how good the approach is since you have to do it all locally in memory rather than being able to push it back to a server that's good at that kind of thing. Hopefully, it at least gives you progress details when loading.
If you're getting [JobID+Ticket] not found, that means you didn't create that column before referencing it or are referencing the wrong step. I think you could insert that merge into the Transform File (2) function like this:
let Source = (Parameter2 as binary) => let Source = Csv.Document(Parameter2,[Delimiter=",", Columns=66, Encoding=65001, QuoteStyle=QuoteStyle.None]), #"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]), #"Merge Columns" = Table.AddColumn(#"Promoted Headers", "JobID+Ticket", each Text.Combine({[JOB_ID], [TICKET_NBR]}, ""), type text), #"Grouped Rows" = Table.Group(#"Merge Columns", {"JobID+Ticket"}, {{"Tbl", each Table.Max(_, "SEQUENCE"), type record}}), ColNames = List.RemoveItems(Table.ColumnNames(#"Merge Columns"), {"JobID+Ticket"}), #"Expand Records" = Table.ExpandRecordColumn(#"Grouped Rows", "Tbl", ColNames, ColNames) in #"Expand Records" in SourceI can't easily test this on my end since I don't have valid credentials to connect to your SharePoint site so I don't get any previews in the query editor of your file.
Hi AlexisOlson , that makes sense and thanks for clarifying. The datasource will be transferred to a database in the near future.
Ok so I tried your latest code and it worked without issue however, when doing a test on the front end, the duplicates were still present. Did I miss something in the process?
Fyi I've added a new folder in the Google drive folder link I shared with you that contains a couple of spreadsheets of the raw data if you wanted to replicate it from your end
Sorry for taking up your time, appreciate your patience.
Ok might try your suggestion in the interim as I've just been informed by colleague that they will proceed with migrating the datasource to a database in the coming days which will mitigate the duplicate issues from my end. Thanks again for your help.