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Message type: E = Error
Message class: IU - Incremental Conversion (ICNV)
Message number: 864
Message text: Table &: Name of field & is too long -> Is excluded from conversion
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IU864
- Table &: Name of field & is too long -> Is excluded from conversion ?The SAP error message IU864 indicates that a field name in a table is too long and, as a result, is excluded from conversion. This typically occurs during data migration or when working with data structures that have specific length limitations.
Cause:
- Field Name Length Exceeded: In SAP, there are restrictions on the maximum length of field names. If a field name exceeds this limit, it cannot be processed correctly, leading to the error message IU864.
- Data Migration Issues: This error often arises during data migration processes, where the source system may have different naming conventions or longer field names than what SAP allows.
- Custom Development: If custom fields or tables have been created with names that exceed the allowed length, this error can occur.
Solution:
- Check Field Names: Review the field names in the table mentioned in the error message. Ensure that they comply with SAP's naming conventions and length restrictions (typically, field names should not exceed 30 characters).
- Rename Fields: If any field names are too long, consider renaming them to shorter, compliant names. This may involve updating the database schema and any related code or configurations.
- Adjust Data Migration Mapping: If this error occurs during data migration, adjust the mapping to ensure that field names are shortened or transformed appropriately before the migration process.
- Consult Documentation: Refer to SAP documentation for specific guidelines on field naming conventions and limitations.
- Testing: After making changes, perform thorough testing to ensure that the changes do not affect the functionality of the application or data integrity.
Related Information:
By addressing the field name length issue, you should be able to resolve the IU864 error and proceed with your data processing or migration tasks.
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