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Message type: E = Error
Message class: RSM2 - Monitor assistant help texts
Message number: 724
Message text: Record filtered because records with the same key contain errors
The data record was filtered out because data records with the same key
have already been filtered out in the current step for other reasons and
the current update is non-commutative (for example, MOVE). This means
that data records cannot be exchanged on the basis of the semantic key.
The data record is filtered out; further processing is performed in
accordance with the settings chosen for error handling.
Check these data records and data records with the same key for errors
and then update them.
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
Error message extract from SAP system. Copyright SAP SE.
RSM2724
- Record filtered because records with the same key contain errors ?The SAP error message RSM2724 indicates that a record has been filtered out during a data processing operation because there are other records with the same key that contain errors. This typically occurs in the context of data extraction, transformation, or loading (ETL) processes, particularly when dealing with data in SAP BW (Business Warehouse) or similar systems.
Cause:
- Duplicate Keys: The error arises when there are multiple records with the same key in the data set, and at least one of those records has an error (e.g., invalid data, missing mandatory fields).
- Data Quality Issues: The records may have inconsistencies or errors that prevent them from being processed correctly.
- Transformation Rules: If there are specific transformation rules applied to the data, they may be causing some records to fail validation while others pass.
Solution:
Identify the Problematic Records:
- Use transaction codes like
RSA1
(Data Warehousing Workbench) orRSMO
(Monitor Data Load) to analyze the data load process and identify which records are causing the issue.- Check the error logs for detailed information about the records that contain errors.
Correct the Errors:
- Once you identify the records with errors, correct the data issues. This may involve fixing data formats, ensuring mandatory fields are filled, or resolving any inconsistencies.
- If the errors are due to transformation rules, review and adjust the rules as necessary.
Reprocess the Data:
- After correcting the errors, reprocess the data load. This may involve re-running the data extraction or transformation process.
Implement Data Quality Checks:
- To prevent similar issues in the future, consider implementing data quality checks before loading data into the system. This can help catch errors early in the process.
Consult Documentation:
- Review SAP documentation or notes related to the specific data source or process you are working with for additional guidance.
Related Information:
RSA1
, RSMO
, RSMO
, and RSC1
for monitoring and managing data loads.By following these steps, you should be able to resolve the RSM2724 error and improve the overall data quality in your SAP environment.
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