Home >Database >Mysql Tutorial >How Does SSIS Implicitly Convert Strings to DT_DBTimestamp, and How Does This Differ From SQL Server?
When converting strings to datetimes in SSIS, it's important to consider the supported formats for each datatype. This article explores the implicit conversion capabilities of SSIS for the DT_DBTimestamp datatype.
The following table lists the default formats for various datetime datatypes in SSIS when converting from strings:
Datatype | Format | |
---|---|---|
DT_DBDATE | yyyy-mm-dd | |
DT_FILETIME | yyyy-mm-dd hh:mm:ss:fff | |
DT_DBTIME | hh:mm:ss | |
DT_DBTIME2 | hh:mm:ss[.fffffff] | |
DT_DBTIMESTAMP | yyyy-mm-dd hh:mm:ss[.fff] | |
DT_DBTIMESTAMP2 | yyyy-mm-dd hh:mm:ss[.fffffff] | |
DT_DBTIMESTAMPOFFSET | yyyy-mm-dd hh:mm:ss[.fffffff] [{ | -} hh:mm] |
Despite not explicitly supporting the "1-Jan" format, SSIS will implicitly convert this string to 1/1/2017 when assigned to a DT_DBTimestamp output column. This is in contrast to converting the same string in SQL Server, which would result in an error.
To verify this behavior, we performed experiments using both SSIS and SQL Server:
A script component in SSIS iterated over various cultural date formats and assigned them to the DT_DBTimestamp output column. If the conversion was successful, the format and acceptance were recorded. Results were output to a file, highlighting implicit conversions.
An SqlCommand was executed for each date format to test its conversion. Exceptions were caught to determine unacceptable formats.
For more details on data type conversions in SSIS and SQL Server, refer to the following resources:
SSIS provides implicit conversion for certain date formats when assigning strings to the DT_DBTimestamp datatype. This is not the case in SQL Server, where specific formats must be explicitly defined for conversion.
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