Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
Hi, I have a table with 4 columns: Date, Item-Number, Item-Name, Sales. The Item-Name (of the same Item-Number) changes over time.
-> I want to add a column with Power Query M which adds the latest Item-Name for each row, as below. Thanks your help! Mike
Solved! Go to Solution.
Hi @mike-germany ,
You could try below M code to see whether it works or not
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwMtA31DdU0lEyNISSCn6JuakgtpFSrA5ciRmGEiMg2wRZiaERhhpjINsMRQ3IXCMjCInbJlQl2G1CVYPVJmNjYwiJ2yZUJdhtQlUDtSkWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Date = _t, #"Item-Number" = _t, #"Item-Name" = _t, Sales = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Item-Number", Int64.Type}, {"Item-Name", type text}, {"Sales", Int64.Type}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Item-Number"}, {{"max", each List.Max([Date]), type date}, {"all", each _, type table [Date=date, #"Item-Number"=number, #"Item-Name"=text, Sales=number]}}),
#"Expanded all" = Table.ExpandTableColumn(#"Grouped Rows", "all", {"Date", "Item-Name", "Sales"}, {"Date", "Item-Name", "Sales"}),
#"Added Custom" = Table.AddColumn(#"Expanded all", "Custom", each if [max]=[Date] then [#"Item-Name"] else null),
#"Filled Up" = Table.FillUp(#"Added Custom",{"Custom"}),
#"Removed Columns" = Table.RemoveColumns(#"Filled Up",{"max"})
in
#"Removed Columns"
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
I could solve it with a reference table, group by funtion, and merge the tables again afterwards. However I'd still be interested if there isn't a more elegant solution within the original table.
Hi @mike-germany ,
You could try below M code to see whether it works or not
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwMtA31DdU0lEyNISSCn6JuakgtpFSrA5ciRmGEiMg2wRZiaERhhpjINsMRQ3IXCMjCInbJlQl2G1CVYPVJmNjYwiJ2yZUJdhtQlUDtSkWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Date = _t, #"Item-Number" = _t, #"Item-Name" = _t, Sales = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Item-Number", Int64.Type}, {"Item-Name", type text}, {"Sales", Int64.Type}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Item-Number"}, {{"max", each List.Max([Date]), type date}, {"all", each _, type table [Date=date, #"Item-Number"=number, #"Item-Name"=text, Sales=number]}}),
#"Expanded all" = Table.ExpandTableColumn(#"Grouped Rows", "all", {"Date", "Item-Name", "Sales"}, {"Date", "Item-Name", "Sales"}),
#"Added Custom" = Table.AddColumn(#"Expanded all", "Custom", each if [max]=[Date] then [#"Item-Name"] else null),
#"Filled Up" = Table.FillUp(#"Added Custom",{"Custom"}),
#"Removed Columns" = Table.RemoveColumns(#"Filled Up",{"max"})
in
#"Removed Columns"
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Check out the February 2026 Power BI update to learn about new features.