How to fix 'Couldn't interpret '0000-07-01' as a valid DateTime' Error in copy activity - synapse analytics pipeline

Question

Hello,
Synapse analytics-copy data activity returning below error. But in my case many rows are having "0000-07-01" date in the DB table column.
I have tried to change the datatype then to debug. But failed to copy.
And then I tried copy activity with single table and bulk table. but there is no luck.
Can any one help for this?

"errorCode": "2200", "message": "Failure happened on 'Source' side. ErrorCode=UserErrorFailedFileOperation,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=The file operation is failed, upload file failed at path: 'usprodannex1/synapse/workspaces/synapse-preprod-annexcloud-01/warehouse/AllTables/user.parquet'.,Source=Microsoft.DataTransfer.Common,''Type=System.FormatException,Message=Couldn't interpret '0000-07-01' as a valid DateTime,Source=MySqlConnector,''Type=System.ArgumentOutOfRangeException,Message=Year, Month, and Day parameters describe an un-representable DateTime.,Source=mscorlib,'", "failureType": "UserError", "target": "Testcopy Data", "details": [] }

Answer 1

Hi @Shrimathi M

Greetings & Welcome to Microsoft Q&A forum! Thanks for posting your query!

The error "Couldn't interpret '0000-07-01' as a valid DateTime" arises because Azure Synapse Analytics, like many database systems, doesn't recognize dates before '0001-01-01'. This is a common issue when dealing with legacy data or data that has been improperly formatted.

To resolve this issue, you can either update the source data to use a valid date format or use a data transformation step to replace the invalid date value with a valid one.

For example, you can use the Derived Column transformation to replace the invalid date value with a valid one. Here's an example expression that you can use:

iif(MyDateColumn == '0000-07-01', '1900-01-01', MyDateColumn)

Conditional Check: The iif function checks the condition, if the date_column is '0000-07-01', it assigns the default date; otherwise, it retains the original date.

By following these steps and considering the additional points, you can effectively handle the invalid date issue and ensure smooth data processing in Azure Synapse Analytics.

I hope this information helps. Please do let us know if you have any further queries.