How to remove old revisions

[Tjordaske85]

Hi,

I'm having this table:

As you can see a document with a certain name (column 'Naam') is several times in the table and has sometimes several revisions (column 'Revisie).

I want to keep only ALL rows with the latest revisions (which is sometimes 0, but can also be a 1, 2, 3, ...).

So all the rows in the green frames needs to remain, all other rows needs to be hided or deleted.

Any ideas or suggestions?

[v-yanjiang-msft · Accepted solution]

Hi @Tjordaske85 ,

According to your description, here's my solution.

1.Add a custom column.

Table.SelectRows(#"Changed Type",(x)=>x[Map]=[Map] and x[Naam]=[Naam])[Revisie]{0}

2.Add a step in Advanced editor.

#"Filter"=Table.SelectRows(#"Added Custom",each [Revisie]=[Custom])

Result:

Here's the whole M syntax:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("7ZKxCsIwEIZf5chcYi50cpU6OtiKQulw2qsEai8kseLbW30FQVE63D/8w/fBz9W1ymHn0igc3HCOrcToOCyhOFTFdrPINeocShpcIhdUpkqDBNEL94k67rVvu6m1qslm0idJ+Nck81VStTaWwKA2Vj8ToUxEQwunXiInuEwn/ijX20sXOHIYxQVId8+wXyG+Mcgs/2359HDNAw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Map = _t, Naam = _t, Revisie = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Map", type text}, {"Naam", type text}, {"Revisie", Int64.Type}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each Table.SelectRows(#"Changed Type",(x)=>x[Map]=[Map] and x[Naam]=[Naam])[Revisie]{0}),
    #"Filter"=Table.SelectRows(#"Added Custom",each [Revisie]=[Custom]),
    #"Removed Columns" = Table.RemoveColumns(Filter,{"Custom"})
in
    #"Removed Columns"

I attach my sample below for your reference.

Best Regards,
Community Support Team _ kalyj

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[ImkeF]

Hi @Tjordaske85 ,
you should sort your table by "Revisie" in descending order and buffer that step:
https://community.powerbi.com/t5/Community-Blog/Bug-warning-for-Table-Sort-and-removing-duplicates-i...

Then check the first 2 columns and remove duplicates.
That will keep only the latest from them.