The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends September 15. Request your voucher.
Whenever I use the "GroupBy" function on a non Date data type column and breakout the columns, any Date data type columns within that query change to Text data type 😬😠😮
I am then having to change the Date data type columns back. Creating another applied step!!
Is this just me being daft or has anyone else experienced this PBI "feature"?
Is there any way around this?
Solved! Go to Solution.
Hi @Anonymous
Do you mean group by on a column then expand the table column to show other columns? Based on my test, this will not change column data types. You can paste below codes to a blank query to see my result.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WciwtLsnMU9JRcgRiM30jfSMDI0Mg00gpVgdD1hiHrBNY1gSvrClMFizpkpiTk1gMlzSESRqgyqI7yhSbtDEuaWc0Z5lis9oUWToWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Region = _t, Type = _t, Date = _t, Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Region", type text}, {"Date", type date}, {"Value", Int64.Type}, {"Type", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Region", "Type"}, {{"All", each _, type table [Region=nullable text, Type=nullable text, Date=nullable date, Value=nullable number]}}),
#"Expanded All" = Table.ExpandTableColumn(#"Grouped Rows", "All", {"Date", "Value"}, {"Date", "Value"})
in
#"Expanded All"
If I don't understand the issue correctly, can you share your codes or screenshots to help me understand it better? I'm a little confused about the description "breakout the columns"...😬
Regards,
Community Support Team _ Jing
If this post helps, please Accept it as the solution to help other members find it.
Thank you for responding.
I think I may have had some nulls in my date columns 😕
Hi @Anonymous
Do you mean group by on a column then expand the table column to show other columns? Based on my test, this will not change column data types. You can paste below codes to a blank query to see my result.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WciwtLsnMU9JRcgRiM30jfSMDI0Mg00gpVgdD1hiHrBNY1gSvrClMFizpkpiTk1gMlzSESRqgyqI7yhSbtDEuaWc0Z5lis9oUWToWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Region = _t, Type = _t, Date = _t, Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Region", type text}, {"Date", type date}, {"Value", Int64.Type}, {"Type", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Region", "Type"}, {{"All", each _, type table [Region=nullable text, Type=nullable text, Date=nullable date, Value=nullable number]}}),
#"Expanded All" = Table.ExpandTableColumn(#"Grouped Rows", "All", {"Date", "Value"}, {"Date", "Value"})
in
#"Expanded All"
If I don't understand the issue correctly, can you share your codes or screenshots to help me understand it better? I'm a little confused about the description "breakout the columns"...😬
Regards,
Community Support Team _ Jing
If this post helps, please Accept it as the solution to help other members find it.