Select most recent row for each item

[RuiPatricio]

I have a Table which is created though a UNION of some queries.

The table has many rows for each widget that I care about -- basically one row for every day.

So it looks somewhat like this:

Widget Id	Date	Data2	Data2
A	3/4/2021	blah1	blahA
B	3/4/2021	blah2	blahB
A	3/5/2021	blah3	blahC
B	3/5/2021	blah4	blahD
A	3/6/2021	blah5	blahE
B	3/6/2021	blah6	blahF
C	3/6/2021	blah7	blahG
A	3/7/2021	blah8	blah
C	3/7/2021	blah10	blah

What I am trying to do is select only the rows from the latest data into visuals, so all I want is:

Widget Id	Date	Data2	Data2
A	3/7/2021	blah8	blah
B	3/6/2021	blah9	blah
C	3/7/2021	blah10	blah

ie: I want just the lastest row's data per widget

Help?

*EDIT: Not each widget will have data for every day, so above, WidgetB's data would be form the 6th, whereas A & C are from the 7th.

[Anonymous]

Hi @RuiPatricio ,

You can create a measure as below to get the latest date:

Latest date = 
VAR _maxdate =
    CALCULATE ( MAX ( 'Table'[Date] ), ALLEXCEPT ( 'Table', 'Table'[Widget Id] ) )
RETURN
    IF ( SELECTEDVALUE ( 'Table'[Date] ) = _maxdate, _maxdate, BLANK () )

Best Regards

[Ashish_Mathur]

Hi,

You may download my PBI file from here.

Hope this helps.

[RuiPatricio]

thanks @Ashish_Mathur 

I was not clear in my question (& I've edited my post). 

Not every widget will have a row for the latest day; the data I'm looking for is the latest data for that particular widget

[Ashish_Mathur]

My solution still works.  See the screenshot.

[RuiPatricio]

thanks @AlB 

My UNION table has ~15mil rows / ~6mil widgets. Is one of these options more efficient than the other?

[AlB]

@RuiPatricio 

Most likely the PQ option is faster. Give both a try though. They're both simple to implement

Please accept the solution when done and consider giving a thumbs up if posts are helpful.  Contact me privately for support with any larger-scale BI needs, tutoring, etc.

[AlB · Accepted solution]

Hi @RuiPatricio 

You can do this in DAX (1 below) or in the Query editor (2). See it all at work in the attached file.

1. Create a new calculated table

Table2 = 
FILTER (
    Table1,
    Table1[Date]
        = CALCULATE ( MAX ( Table1[Date] ), ALLEXCEPT ( Table1, Table1[Widget Id] ) )
)

2. Place the following M code in a blank query to see the steps.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("ZY05DoAwDAT/4jpSDnJAGcLxiCgFVBT8vwaBQRulGks7GudMkQR10kqjjL7P/dyOj5GKyDS2gmGOj/AWHAodM0GhEixzgoJHwTFnKFSCZy6PkFohMFd4EVDomfCh2gfcU7tr9QvlAg==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Widget Id" = _t, Date = _t, Data2 = _t, Data2_2 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Widget Id", type text}, {"Date", type date}, {"Data2", type text}}),

    #"Grouped Rows" = Table.Group(#"Changed Type", {"Widget Id"}, {{"Count", each Table.Max(_,"Date") }}),
    #"Expanded Count" = Table.ExpandRecordColumn(#"Grouped Rows", "Count", {"Date", "Data2", "Data2_2"}, {"Date", "Data2", "Data2_2"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Expanded Count",{{"Date", type date}, {"Data2", type text}, {"Data2_2", type text}})
in
    #"Changed Type1"

Please accept the solution when done and consider giving a thumbs up if posts are helpful.  Contact me privately for support with any larger-scale BI needs, tutoring, etc.

[RuiPatricio]

I'm using the PQ approach with Group > Expand -- this is lookig promising. 

Thanks @AlB