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Message type: E = Error
Message class: LTR2_DS_CHG_PE - Change log messages of data set Posting Engine
Message number: 003
Message text: New value: &1
Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.
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LTR2_DS_CHG_PE003
- New value: &1 ?The SAP error message LTR2_DS_CHG_PE003 typically relates to issues with data changes in the context of SAP's Landscape Transformation (SLT) or Data Services. The message indicates that there is a problem with a new value being processed, which is represented by
&1
.Cause:
The error can occur due to several reasons, including but not limited to:
- Data Type Mismatch: The new value being processed does not match the expected data type in the target system.
- Invalid Data: The new value may not conform to the business rules or constraints defined in the target system (e.g., length, format).
- Configuration Issues: There may be misconfigurations in the SLT or Data Services settings that are causing the data transformation to fail.
- Missing Mapping: If the new value is part of a mapping that is not correctly defined, it can lead to this error.
Solution:
To resolve the error, you can take the following steps:
Check Data Types: Verify that the new value being processed matches the expected data type in the target system. If there is a mismatch, you may need to adjust the data type in the source or target system.
Validate Data: Ensure that the new value adheres to the business rules and constraints. Check for any invalid characters, length issues, or format discrepancies.
Review Configuration: Go through the SLT or Data Services configuration settings to ensure that everything is set up correctly. Look for any discrepancies in the mapping or transformation rules.
Check Mapping: If the new value is part of a mapping, ensure that the mapping is correctly defined and that all necessary fields are included.
Logs and Traces: Review the logs and traces for more detailed information about the error. This can provide insights into what specifically is causing the issue.
Testing: If possible, test the data transformation with a smaller dataset to isolate the issue and confirm that the changes you make resolve the error.
Related Information:
If the issue persists after following these steps, consider reaching out to SAP support for further assistance.
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