Why Do I Still Get Truncation Errors in SQL Server CSV Imports Even When Using varchar(MAX)?

Handling Truncation Errors in SQL Server CSV Import Despite Using varchar(MAX)

When importing a large CSV file into SQL Server, it's common to encounter truncation errors even when the target columns are defined with varchar(MAX) data types. This issue arises due to mismatched data types between the CSV file and the SQL Server table.

To resolve this error, it's crucial to configure the data source correctly in the SQL Server Import and Export Wizard. Navigate to the "Advanced" tab within the Data Source selection. Here, adjust the data types of the offending columns by changing them from "DT_STR" (string) to "DT_TEXT" (text). DT_TEXT allows for large text values, making it suitable for data that may exceed the 255-character limit of "DT_STR".

After modifying the data types, you can proceed with the import process, ensuring that the data is successfully inserted without truncation errors.

By understanding the difference in data types between SQL Server Import and Export Wizard and your SQL Server table, you can prevent truncation errors and ensure the successful import of large CSV files.

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