OK I tested with known good data and still got the message.
You need to convert to a different format becasue it does not know if 12302009 is mmddyyyy or ddmmyyyy.
The time zone offset is the difference (in hours and minutes) between local time and UTC (Coordinated Universal Time, formerly Greenwich Mean Time).
Specify the as follows: data stored in the database is normalized to the database time zone, and the time zone offset is not stored as part of the column data.
SQL Server can implicitly cast strings in the form of 'YYYYMMDD' to a datetime - all other strings must be explicitly cast.
here are two quick code blocks which will do the conversion from the form you are talking about: version 1 uses unit variables: BEGIN DECLARE @input VARCHAR(8), @mon CHAR(2), @day char(2), @year char(4), @output DATETIME SET @input = '10022009' --today's date SELECT @mon = LEFT(@input, 2), @day = SUBSTRING(@input, 3,2), @year = RIGHT(@input,4) SELECT @output = @year @mon @day SELECT @output END Convert would be the normal answer, but the format is not a recognised format for the converter, mm/dd/yyyy could be converted using convert(datetime,yourdatestring,101) but you do not have that format so it fails.
Dates should never be stored in varchar becasue it will allow dates such as ASAP or 02/30/2009.
Use the isdate() function on your data to find the records which can't convert.
All I did - change locale format from Russian to English (United States) and voilà. Because it has attracted low-quality or spam answers that had to be removed, posting an answer now requires 10 reputation on this site (the association bonus does not count).
Businesses conduct transactions across different time zones.
Oracle Database datetime and interval data types and time zone support make it possible to store consistent information about the time of events and transactions. Both datetimes and intervals are made up of fields.
What benefit is there in opening processes up to human error when you can have the systems babysit themselves?
That’s why I’m surprised that there’s so little written about Cluster-Aware Updating (CAU).