Introduction
SQL Server Integration Services (SSIS) is a powerful ETL (Extract, Transform, Load) tool used to move and transform data across various sources. While working with SSIS, users often encounter different error codes. One such common error is SSIS-469. This article provides an in-depth look into what SSIS-469 means, its common causes, and how to resolve it.
What is SSIS-469?
The error code SSIS-469 generally indicates a data flow component failure, typically during the transformation or loading process. While SSIS error codes aren’t always well-documented by Microsoft, SSIS-469 usually involves data type mismatches, truncation issues, or conversion failures between source and destination components.

Common Causes of SSIS-469
- Data Type Mismatch
- Trying to insert a string into an integer field.
- Attempting to convert incompatible data types during transformation.
- Truncation Errors
- Source column exceeds the length of the destination column.
- Unhandled length differences in string fields (e.g.,
nvarchar(255)
vsnvarchar(100)
).
- Null Value Issues
- Null values being loaded into non-nullable fields.
- Lack of proper null-handling logic in Derived Column or Conditional Split transformations.
- Incorrect Data Conversion
- Failure in data conversion due to locale or format issues (e.g., dates or currency).
How to Resolve SSIS-469
1. Use Data Viewers
Add data viewers to your data flow paths to inspect the data at various stages and catch what’s causing the issue.
2. Validate Metadata
- Check that the data types in your source and destination match exactly.
- Pay close attention to precision, scale, and length in numeric and string fields.
3. Implement Error Outputs
- Use the error output paths of your transformations to redirect rows causing errors to a separate output for later analysis.
4. Check for Truncation
- In Derived Columns or Script Tasks, ensure that new columns don’t exceed the defined length.
- Use
LEN()
orLEFT()
functions where necessary.
5. Use Data Conversion Transformations
- Explicitly convert data types using the Data Conversion transformation before inserting into the destination.
Best Practices to Avoid SSIS-469
- Always profile your source data before building your package.
- Enable “Fail Component” vs “Redirect Row” options smartly to manage error handling.
- Use SSIS logging to capture detailed error messages.
- Keep your SSIS packages modular and validate each component in isolation.

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Conclusion
SSIS-469 can be frustrating, but it’s typically a sign that something is off with the data types, lengths, or formatting between your source and destination. With proper debugging techniques and error handling in place, resolving this error becomes much easier.