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Message type: E = Error
Message class: CRM_MKTSC - Scenario Planning: Messages
Message number: 023
Message text: &4 Identification exceeded the maximum length and was shortened
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CRM_MKTSC023
- &4 Identification exceeded the maximum length and was shortened ?The SAP error message CRM_MKTSC023 indicates that an identification string (such as a name, description, or other identifier) has exceeded the maximum length allowed in the system, and as a result, it has been shortened. This error typically occurs in the context of marketing or customer relationship management (CRM) processes within SAP.
Cause:
- Exceeding Character Limits: The most common cause of this error is that the data being entered or processed exceeds the predefined character limits set in the SAP system for specific fields.
- Data Import/Upload: If you are importing or uploading data (e.g., from a spreadsheet or another system), the data may contain longer strings than the target field can accommodate.
- Custom Fields: If there are custom fields or enhancements in your SAP system, they may have different length restrictions that are not aligned with standard SAP settings.
Solution:
- Check Field Lengths: Review the field definitions in the relevant SAP tables or structures to determine the maximum allowed length for the identification string. You can do this by checking the data dictionary (transaction SE11) for the relevant table.
- Data Validation: Before entering or uploading data, validate the length of the identification strings to ensure they do not exceed the maximum allowed length.
- Truncate Data: If the data is being imported, consider truncating the identification strings to fit within the allowed limits before the import process.
- Adjust Field Lengths: If necessary and feasible, you may consider adjusting the field lengths in the data dictionary (if you have the necessary authorizations and it is appropriate for your business processes). This should be done with caution and typically requires thorough testing.
- Error Handling: Implement error handling in your data processing logic to catch and manage instances where data exceeds length limits, providing meaningful feedback to users.
Related Information:
If the issue persists after trying the above solutions, consider reaching out to your SAP support team or consulting with an SAP expert for further assistance.
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