Azure Data Factory Power Query Date Source not compatible with SQL
Hello,
My source file effective date column has a year of 4712 that causes errors when trying to import with a simple copy job in Azure SQL Server. I decided to try to use Power Query in ADF to transform the date, however the column also has nulls which is making things complicated.
Source File Date Column example (string):
12/31/4712 00:00:00
(blank)
2/5/2023 00:00:00
Transformation:
let Source = #"LoadHCMEmp_SourceDS",
"Replaced value" = Table.ReplaceValue(Source, "12/31/4712 00:00:00", "12/31/2050", Replacer.ReplaceText, {"Effective_End_Date"}),
"Replaced value 1" = Table.ReplaceValue(#"Replaced value", "", "12/31/2050", Replacer.ReplaceValue, {"Effective_End_Date"}),
"Replaced value 2" = Table.ReplaceValue(#"Replaced value 1", " 00:00:00", "", Replacer.ReplaceText, {"Effective_End_Date"}) in #"Replaced value 2"
The problem is when I transform the above into a date, I get:
UserQuery: Expression.Error: Unsupported constant null.
I've tried to import into sql using the pipeline both as a string and as a date (after the above adjustments). When I import as a date, it errors out (see above). When I import after the above transformations, the column comes through as blank. A simple copy job doesn't work because of the year issue.
To push the data into sql we're using the Sink in the Power Query:
Settings -> Allow insert (checkbox checked)
Settings -> Truncate table
Source file is csv. Sink is Azure SQL Server.
Essentially I just want to be able to import the dates, whether that means transforming everything thats super far off to 2050 and making the nulls 12/31/2050 or keeping them as null