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!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hi,
The following Table A has a start and end DateTime column (Event Frame Start Time & Event Frame End Time):
I then have the following Table B:
Is it possible to create a new table (or combine), which contains the ID_1, Event Frame Start Time, Event Frame End Time from Table A and the Date_Time & Category from Table B IF any of the Date_Time rows falls between Event Frame Start Time and Event Frame End Time?
Thanks,
Conor
Solved! Go to Solution.
New DAX Query=GENERATE(TableA,FILTER(SUMMARISE(TableB,TableB[Date_Time],TableB[Category]),TableB[Date_Time]>=TableA[Event Frame Start Time]&&TableB[Date_Time]<=TableA[Event Frame End Time]))
New DAX Query=GENERATE(TableA,FILTER(SUMMARISE(TableB,TableB[Date_Time],TableB[Category]),TableB[Date_Time]>=TableA[Event Frame Start Time]&&TableB[Date_Time]<=TableA[Event Frame End Time]))
Hello - this is how you can add ID_1, StartTime and EndTime from TableA to TableB for rows in which the DateTime is between the Start and End Times from TableA.
TableA
TableB Before
TableB After
Table A Script
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXJ0dASShvqG+kYGRgYKJlYGBgW5YBFjqJChEVBMASgYqxOtZASUcnJyApJGyFoUwHqM9I0s0PXEAgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ID = _t, ID_1 = _t, StartTime = _t, EndTime = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}, {"ID_1", type text}, {"StartTime", type datetime}, {"EndTime", type datetime}})
in
#"Changed Type"
TableB Script
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMtQ31DcyMDJQMLEyMAAihQBfJR0l54zEvPRUIMPLxd9VKVYnWskEps7QCKSqIBdTVSwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [DateTime = _t, Event = _t, User = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"DateTime", type datetime}, {"Event", type text}, {"User", type text}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each Table.SelectRows(TableA, (x)=> x[StartTime]<=[DateTime] and x[EndTime]>=[DateTime])),
#"Expanded Custom" = Table.ExpandTableColumn(#"Added Custom", "Custom", {"ID_1", "StartTime", "EndTime"})
in
#"Expanded Custom"
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!