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Message type: E = Error
Message class: CPE_INTERFACE - CPE IInterface Message Class
Message number: 169
Message text: Remove identical keys in Term Surcharge data and update records
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CPE_INTERFACE169
- Remove identical keys in Term Surcharge data and update records ?The SAP error message CPE_INTERFACE169, which states "Remove identical keys in Term Surcharge data and update records," typically occurs in the context of data processing or data uploads, particularly when dealing with surcharge data in the SAP system. This error indicates that there are duplicate entries (identical keys) in the Term Surcharge data that need to be resolved before the system can proceed with the operation.
Cause:
- Duplicate Entries: The primary cause of this error is the presence of duplicate keys in the Term Surcharge data. Each entry in this data set should have a unique key, and when duplicates are found, the system cannot process the data correctly.
- Data Upload Issues: If you are uploading data from an external source (like a CSV or Excel file), it is possible that the source data contains duplicates.
- Data Integrity Issues: There may be issues with data integrity in the database, where records have been incorrectly entered or not properly maintained.
Solution:
- Identify Duplicates: Review the Term Surcharge data to identify any duplicate entries. You can do this by querying the database or using tools within SAP to analyze the data.
- Remove Duplicates: Once identified, you can either:
- Manually remove the duplicate entries if the dataset is small.
- Use a script or data processing tool to automate the removal of duplicates if the dataset is large.
- Update Records: After removing duplicates, ensure that the remaining records are updated correctly in the system.
- Data Validation: Implement data validation checks before uploading data to prevent duplicates from being introduced in the future.
Related Information:
By following these steps, you should be able to resolve the CPE_INTERFACE169 error and ensure that your Term Surcharge data is clean and ready for processing.
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