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Message type: E = Error
Message class: LTR2_CM_CHECK_FLT2 - LTR2 Checks on Filter2of Content Module
Message number: 038
Message text: Invalid data removed
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LTR2_CM_CHECK_FLT2038
- Invalid data removed ?The SAP error message LTR2_CM_CHECK_FLT2038: Invalid data removed typically occurs in the context of SAP's Logistics Execution (LE) or Warehouse Management (WM) modules. This error indicates that there is an issue with the data being processed, which has led to the removal of invalid entries.
Cause:
- Data Integrity Issues: The error often arises when there are inconsistencies or invalid entries in the data being processed. This could be due to incorrect master data, such as material master records, storage location data, or batch information.
- Configuration Errors: Incorrect configuration settings in the system can lead to the generation of invalid data during processing.
- Incompatibility: The data being processed may not be compatible with the expected formats or values defined in the system.
- User Input Errors: Manual entries that do not conform to the required standards can also trigger this error.
Solution:
- Check Master Data: Review the relevant master data (material, storage location, etc.) for any inconsistencies or missing information. Ensure that all required fields are filled out correctly.
- Review Configuration Settings: Verify the configuration settings in the SAP system related to the logistics or warehouse management processes. Ensure that they align with the business processes and data requirements.
- Data Validation: Implement data validation checks before processing to catch any invalid entries early. This can help prevent the error from occurring in the first place.
- Error Logs: Check the application logs or error logs for more detailed information about the specific data that was deemed invalid. This can provide insights into what needs to be corrected.
- Consult Documentation: Refer to SAP documentation or notes related to this specific error message for additional guidance and troubleshooting steps.
- Testing: After making corrections, conduct tests to ensure that the issue has been resolved and that the data can be processed without errors.
Related Information:
SE11
(Data Dictionary), SE16
(Data Browser), or SM37
(Job Monitoring).By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.
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