
In an article I posted some time again I confirmed totally different strategies of making Time dimension in Energy BI and Tabular fashions. The Time dimension I defined was in Minutes. On this put up I present you easy method to create Time dimension supporting Seconds. As this can be a fast tip, I solely present you methods to get the Time and ID columns within the Time dimension. If it is advisable to add time bands (time buckets) examine this out for extra particulars.
Time Dimension in Seconds Grain with Energy Question (M):
Copy/paste the code beneath in Superior Editor to generate Time dimension in Energy Question:
let
Supply = Desk.FromList({1..86400}, Splitter.SplitByNothing()),
#"Renamed Columns" = Desk.RenameColumns(Supply,{{"Column1", "ID"}}),
#"Time Column Added" = Desk.AddColumn(#"Renamed Columns", "Time", every Time.From(#datetime(1970,1,1,0,0,0)+#length(0,0,0,[ID]))),
#"Modified Sort" = Desk.TransformColumnTypes(#"Time Column Added",{{"ID", Int64.Sort}, {"Time", sort time}})
in
#"Modified Sort"

Time Dimension in Seconds Grain with DAX:
Run the DAX expression beneath in a brand new calculated Desk in Energy BI or SSAS Tabular mannequin:
Time in DAX = ADDCOLUMNS(
GENERATESERIES(1, 86400, 1)
, "Time", TIME(0, 0, 0) + [Value]/86400
)

In my earlier put up about Time dimension you see a unique DAX expression to create Time dimension in Minutes granularity. It’s possible you’ll ask why I used a unique construction right here? Effectively, the reason being that TIME perform has limitation on accepting numbers larger than 32,767. Subsequently, for those who use the beneath DAX expression you’ll get the “An argument of perform ‘TIME’ has the incorrect knowledge sort or the result’s too massive or too small.” error message. This limitation in inherited from TIME perform in Excel.

Time in DAX with Error = ADDCOLUMNS(
GENERATESERIES(1, 86400, 1)
, "Time", TIME(0, 0, [Value])
)
Right here is one other intelligent approach of producing Time dimension in Seconds Jeffrey Wang posted on LinkedIn:
Time in DAX Jeffrey Model = GENERATESERIES(1/86400, 1, TIME(0, 0, 1))

Time Dimension In Seconds Grain with T-SQL:
Run the next T-SQL script in SSMS:
WITH cte
AS (SELECT 1 ID
UNION ALL
SELECT id + 1
FROM cte
WHERE id < 86400)
SELECT id
, CONVERT(CHAR(8), Dateadd(second, id, ‘1900-01-01’), 108) [Time]
FROM cte
OPTION (maxrecursion 0)

All accomplished!