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Message type: E = Error
Message class: /PICM/UI -
Message number: 102
Message text: Duplicate entry for &1; data cannot be saved
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/PICM/UI102
- Duplicate entry for &1; data cannot be saved ?The SAP error message
/PICM/UI102 Duplicate entry for &1; data cannot be saved
typically occurs in the context of the SAP Product Information Management (PIM) module, particularly when trying to save data that has a duplicate entry in a field that requires unique values. This error indicates that the system has detected a duplicate entry for a specific field (represented by&1
), which violates the uniqueness constraint.Cause:
Duplicate Data Entry: The most common cause is that the data you are trying to save already exists in the database. This could be due to:
- Manual entry of the same data.
- Data import processes that include duplicates.
- System-generated entries that conflict with existing records.
Configuration Issues: Sometimes, the configuration of the data model may enforce uniqueness on certain fields, leading to this error when duplicates are detected.
Data Migration Issues: If data has been migrated from another system, it may contain duplicates that were not cleaned up prior to migration.
Solution:
Identify the Duplicate:
- Check the specific field indicated by
&1
in the error message to identify what data is causing the conflict.- Use transaction codes like SE16 or SE11 to query the relevant database table and find existing entries.
Remove or Modify Duplicates:
- If duplicates are found, you can either delete the existing duplicate entry or modify the new entry to ensure it is unique.
- If the duplicate is a result of a data import, consider cleaning the data before importing it again.
Adjust Data Entry Process:
- Implement validation checks in the data entry process to prevent duplicates from being entered in the first place.
- If applicable, adjust the configuration to allow for certain duplicates if business rules permit.
Consult Documentation: Review SAP documentation or consult with your SAP administrator for specific guidelines related to the data model and uniqueness constraints.
Error Handling: If this error occurs frequently, consider implementing error handling mechanisms in your data entry or import processes to catch duplicates before they cause issues.
Related Information:
By following these steps, you should be able to resolve the error and prevent it from occurring in the future.
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