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Message type: E = Error
Message class: RSODSO_MPP_TEST - MPP Data Verification
Message number: 043
Message text: Data package not identical
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RSODSO_MPP_TEST043
- Data package not identical ?The SAP error message RSODSO_MPP_TEST043: Data package not identical typically occurs in the context of SAP BW (Business Warehouse) when working with DataStore Objects (DSOs) and MultiProvider queries. This error indicates that there is a mismatch in the data packages being processed, which can happen during data loading or when executing queries.
Causes:
- Data Package Mismatch: The error usually arises when the data packages being processed do not match in terms of structure or content. This can happen if there are inconsistencies in the data being loaded into the DSO.
- Inconsistent Data Types: If the data types of the fields in the data package do not match the definitions in the DSO, it can lead to this error.
- Data Transformation Issues: If there are issues in the transformation rules or if the data is being transformed incorrectly before loading into the DSO, it can cause discrepancies.
- Data Source Changes: Changes in the underlying data source (like changes in the structure of the source system) that are not reflected in the DSO can lead to this error.
- Parallel Processing: If multiple processes are trying to load data into the same DSO simultaneously, it can lead to conflicts and mismatches.
Solutions:
- Check Data Packages: Review the data packages being loaded into the DSO to ensure they are identical in structure and content. You can do this by checking the data in the source system and the transformation rules.
- Validate Data Types: Ensure that the data types of the fields in the data package match the definitions in the DSO. If there are discrepancies, adjust the data types accordingly.
- Review Transformation Rules: Check the transformation rules to ensure that they are correctly defined and that they are not causing any data inconsistencies.
- Data Source Consistency: Verify that the structure of the data source has not changed. If it has, update the DSO and any related transformations to reflect these changes.
- Loading in Batches: If you are loading data in parallel, consider loading data in batches or sequentially to avoid conflicts.
- Check for Errors in Previous Loads: Sometimes, previous data loads may have failed or encountered issues. Check the logs for any errors that may have occurred during previous loads.
Related Information:
RSA1
(Data Warehousing Workbench) to monitor and manage your DSOs and data loads.By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.
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